Keywords:Situation Awareness, Intelligent Control, Cyber-security, Big Data Analytics, Stability Analysis
With the development of power electronic technology, the electric power system is undergoing a fundamental transformation fueled by historic investment in modernizing the transmission and distribution infrastructure and integrating Distributed Energy Resources (DERs) and technologies to enhance grid resilience. Along with the process of highly renewable electricity in the recent decade, the power distribution system faces many challenges in terms of resource variability, extreme natural events, and the increasing occurrence of malicious cyber with the need for decarbonization. With high-frequency disturbances, the frequency of transient phenomena increases, it requires some advanced measurement methods, power grid big data processing technologies, and low-latency identification methods to analyze these anomalies. In addition, the new type of power converters and dc devices with lower costs and better performance are continuously emerging, which brings new control and stability issues to the power system including coordinated control of inverters or high voltage direct current transmission. This also put forward different requirements for control performance and stability in different application scenarios, such as asynchronous grid interconnection, PV/wind power integration, and so on. Lastly, the fundamental challenges of power grids with respect to cybersecurity also raise concerns about situation awareness and intelligent control. The system relies on a defense-in-depth strategy from the device, network, physical, as well as policies that are deserved to strengthen cybersecurity in interconnected power grids. Reliable grid operation for coordinated sensing, control, and security is also a critical issue. Therefore, there is a need for innovation in the design, integration, operation, testing, and evaluation of newer technologies and processes in order to enable and accelerate progress toward increased levels of automation under both normal and emergency grid conditions.
Chair: Researcher Wei Qiu, Hunan University, China
Wei Qiu received a B.Sc. degree in electrical engineering from Hubei University of Technology, Wuhan, China, in 2015, and M.Sc. and Ph.D. degrees in electrical engineering from Hunan University, Changsha, China, in 2017 and 2021, respectively. He was also a joint Doctoral student with the University of Tennessee from 2019 to 2021. He was a Research Associate in the Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA from 2021 to 2022.
He is currently a Research Associate in the College of Electrical and Information Engineering, at Hunan University. His current research interests include situational awareness, cyber-security of synchrophasor, power quality measurement, and reliability analysis of power equipment. He is the recipient of R&D 100 2022 and the recipient of the Best Paper Award from IEEE IAS I&CPS Asia, and IET APSCOM 2022.
Co-Chair: Assocc. Prof. Kaiqi Sun, Shandong University, China
Kaiqi Sun received a B.S. and Ph.D. degree in electrical engineering from Shandong University, Jinan, China, in 2015 and 2020, and was also a visiting scholar with the University of Tennessee, Knoxville from 2017 to 2020. From 2020 to 2021, Dr. Sun was a Research Associate with the Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA.
He is currently an Associate Research Fellow at Shandong University. His research interests include the HVDC and MVDC system operation, renewable energy integration, and machine learning-based power system application. He has been funded by NSFC in the youth program and has authored or co-authored over 80 peer-reviewed technical articles or conference papers. He is the recipient of R&D 100 2021 and the recipient of the Best Paper Award from IEEE IAS I&CPS Asia, ECAI, and the SCEMS 2020.
Title:Resilience of Cyber-Physical Power Systems
Scope:This workshop focuses on the resilience and vulnerability of cyber-physical power systems to various types of extreme events, including modelling, theories, methods, metrics and enhancement strategies.
Keywords: Resilience, Extreme Event, Cyber-Physical Power Systems, Vulnerability
In recent years, extreme events such as natural disasters and various types of attacks against infrastructures frequently occur, which heavily damage even destroy power systems. For example, Typhoon Hagupit in 2020 caused a severe power outage affecting more than 1.986 million customers in Zhejiang Province, China. Note that legacy power systems are tightly integrated with information and communication technologies, which have evolved into power systems. Although these technologies are beneficial to power systems such as improving the flexibility of power system operation. However, with the ever-growing integration and interaction of cyber and physical systems, damaged cyber systems can also heavily degrade the performance of physical systems under extreme events. For instance, Ukraine power system suffered from cyber attacks in 2015 affecting nearly 1.4 million customers. Therefore, there is an urgent need to study the resilience and vulnerability of cyber-physical power systems under various types of extreme events and to improve the system's ability to withstand risks. This workshop focuses on the resilience and vulnerability of cyber-physical power systems to various types of extreme events, including modelling, theories, methods, metrics and enhancement strategies.
Chair: Researcher Meng Tian, Wuhan University of Technology, China
Dr. Tian Meng hosted two research projects supported by the National Natural Science Foundation of China and one research project supported by Key R&D Program of Hubei Province. He also published over 60 peer-reviewed academic papers and authorized 20 invention patents. He won one third prize of patent award of China Southern Power Grid Corporation and third prize of Hubei Provincial Science and Technology Progress Award.
Co-Chair: Researcher Zhengcheng Dong, Wuhan University of Technology, China
Dr. Dong has published more than 40 peer-reviewed academic papers and authorized more than 10 patents. He has hosted 7 research projects, including projects supported by the National Natural Science Foundation of China and the China Postdoctoral Science Special Foundation, and received 6 awards, including the Second-class prize of Scientific and Technological Progress of Guangxi Province and the best paper finalist of IEEE ICPS 2023. He also served as guest editor/special session organizer/technical committee member/chair of several journals/international academic conferences, and serves as a reviewer for over 20 peer-reviewed journals.
Title: AI-Enabled Energy Systems
Keywords: AI, Energy
We are pleased to invite you to participate in the upcoming "Workshop on AI-Enabled Energy Systems." In this rapidly evolving digital era, artificial intelligence has significantly impacted various domains, and especially in the field of energy systems, AI technology is ushering in unprecedented transformations in energy production, transmission, distribution, and management.We eagerly anticipate your involvement to collectively explore the following topics (but not limited to):
Smart grids and distributed energy management
AI-based energy demand forecasting and optimization
Intelligent integration and optimization of renewable energy
AI applications in energy storage systems
Smart energy monitoring, diagnostics, and maintenance
Energy market prediction and decision support
AI methods for enhancing energy system security and robustness
AI solutions for environmental sustainability and energy efficiency
Chair: Assoc. Prof Heng Li, Central South University, China
Heng Li works as an associate professor at Central South University. He received his bachelor’s and Ph. D. degrees from Central South University in 2011 and 2017 respectively. He worked as a Research Assistant at University of Victoria from November 2015 to November 2017. He joined Central South University in November 2017. His research areas include cyber-physical systems, smart energy systems and smart factories. Dr. Li was a recipient of the Excellent Ph.D. Thesis Award of Central South University and Hunan Province, Hunan Provincial Natural Science Award and China Railway Academy Science and Technology Award.
Co-Chair: Asist. Prof Jie Ji, Huaiyin Institute of Technology, China
Jie Ji's research direction mainly includes energy system, combined cooling heating and power system, integrated system control strategy, etc. For now, his teamare engaged in the application research of big data, deep learning and artificial intelligence in the fields of energy, electricity, transportation and chemical industry. The main research directions in the near future are as follows :
(1) Power system modeling simulation and optimization control, new energy power generation prediction, equipment monitoring and diagnosis;
(2) Traffic flow modeling, lithium battery and fuel cell health management, electric vehicle charging and discharging control;
(3) Machine vision, action recognition and detection, behavior analysis and trajectory prediction.
Title: Operation and Analysis of Active Distribution Networks
Scope:Active Distribution Networks
Keywords: Simulation and Calculation, Operation and Control, High Share of DG
Operation and analysis of active distributed networks (ADNs) is essential to validate control strategies, to design prototypes for distributed generators (DGs), and to test actual electrical equipment in hardware-in-the-loop testbeds. The simulation and operational analysis of ADNs are challenging due to the expanding scale and growing time span of system transients brought about by renewable energy integration. To increase the simulation accuracy and efficiency, advanced numerical algorithms and powerful underlying computing hardware, such as the field programmable gate array (FPGA), are emerging.
Chair: Assoc. Prof. Haoran Ji, Tianjin University, China
Dr. Haoran Ji is currently an associate professor at the School of Electrical and Information Engineering, Tianjin University, China. His major research interests include intelligent control and optimal operation of distribution networks. He is an editorial board member of Energy Engineering, a young editorial board member of Advances in Applied Energy and Engineering Reports, and an associate editor of Protection and Control of Modern Power Systems
Co-Chair: Dr. Zhiying Wang, Tianjing University, China
Dr. Zhiying Wang received the B.S. and Ph.D. degrees in electrical engineering from Tianjin University, Tianjin, China, in 2013 and 2018, respectively. She is currently an engineer at the School of Electrical and Information Engineering, Tianjin University, China. Her major research interests include modelling and real-time simulation for distributed generation and active distribution networks.
Title: Advances in Arc Discharge Physics and Switching Technology
Scope:Arc theory, Gas discharge, Switching physics and technology
With the rapid development of high voltage and capacity transmission technology, the field of switching equipment in power systems is continuously experiencing significant progress. Researchers from universities, institutes and manufacturers are paying close attention to the development of high voltage switching technologies, especially the eco-friendly alternative technologies and also the switching technologies for HVDC, large capacity conditions. Moreover, the corresponding intelligent condition monitoring for switching equipment also become a significant area of focus. There have been reports and applications of innovative technologies in the field of arc quenching, advancements in switching equipment design using the new materials, and the development of new theories in arc discharge physics. These advancements aim to enhance the performance and efficiency of the switching equipment, leading to improved reliability and safety in power systems. This session aims to highlight the latest advancements in such research fields with interests include but not limited to:
(1) AC and DC switching technology
(2) Eco-friendly switching technology using vacuum and eco-friendly insulating gas medium
(3) Design and manufacturing of switching equipment
(4) Conditioning monitoring and diagnosis for switching equipment including circuit breaker, disconnector, GIS/GIL, etc.
(5) Application of new material in switching equipment
(6) Simulation and test technology in design and evaluation of switching equipment
(7) Advances in arc theory and arc discharge application
(8) Arc and contact erosion in high and low voltage switching equipment and component
(9) Design and manufacturing of low-voltage components including relays and contactors
(10) Reliability of switching equipment and component
Chair: Assoc. Prof. Xiaolong Li, Shenyang University of Technology, China
Dr. Xiaolong Li received his Ph.D. degree from Tianjin University in 2017. He worked as a Research Fellow at The University of Liverpool from 2018 to 2019. He is currently an associate professor at the School of Electrical Engineering, Shenyang University of Technology. He is also the director of The Institute of High Voltage and Power System at this university. His major research interests include gas discharge, plasma physics, arc quenching technology, intelligent monitoring and fault diagnosis of electrical power equipment. He is a young member of the CSEE High Voltage Technical Committee and the CES Plasma and Applications Technical Committee.He is also the Deputy Secretary-General of the Sub-Technical Committee on Basic Theory of Electric Arc in IEEE PES (China).
Co-Chair: Assoc. Prof. Xue Zhou, Harbin Institute of Technology, China
Associate professor of School of Electrical Engineering and Automation, Harbin Institute of Technology. The research field are design of high-reliability electromechanical components, arc theory, electrical contact, and intelligent switch components. He has finished over 20 scientific projects from such as the National Natural Science Foundation of China, the Ministry of Industry and Information Technology of China, as well as from industries. He has published more than 30 academic papers indexed by SCI and EI and has been authorized more than 20 national invention patents as the first inventor, and won the first Class Prizes of The National Defend Scientific and Technological Progress Award.
Co-Chair: Dr. Wen Wang, China Electric Power Research Institute, China
Dr. Wen Wang received her Ph.D. degree from the University of Liverpool in 2017 and completed her postdoctoral research at China Electric Power Research Institute (CEPRI) in 2022. She is currently employed at the High Voltage Department of CEPRI. She is a member of CIGRE B3.A3.60 working group and also the member of the team involved in the technological research of environmentally-friendly alternatives and development of the low-carbon electric power equipment, under the construction of SGCC New-Type Power System.Dr. Wang has been actively engaged in research on key technologies for environmentally friendly alternatives and also the development of green and low-carbon equipment, condition assessment of the transmission and transformation equipment, and also the switching technologies for intelligent development of the equipment. She also makes advancements in the fields of plasmaphysics and computational fluid dynamics.
Title: Renewable Energy Resource Assessment and Forecasting for Power System Control, Dispatching, and Planning
Scope:This workshop focuses on advanced techniques for renewable energy resource assessment, forecasting, and optimal integration into multi-energy/power systems while emphasizing refined modeling and effective control strategies.
Keywords: Renewable energy; Resource assessment; Forecasting; Dispatching; Planning; Control; Power system
Largely owed to the multi-disciplinary nature of large-scale grid integration of variable renewables, such as wind or solar, resource assessments and forecasts that consider high-precision and cross-domain modeling of renewable energy resources have been lacking to date. Aiming at improving the overall power system operations, this workshop focuses on physics-based assessment and forecasting of renewable energy resources, and how they interact with traditional power system operations, such as control, dispatching, scheduling, or planning. The research fields within this scope include, but are not limited to:
• Renewable energy resource assessment and forecasting under refined modeling of energy components
• Power system dispatching/scheduling under renewable energy forecasting
• Optimal planning of multi-energy/power systems under renewable energy resource assessment
• Modeling and control of renewable energy power system
Chair: Prof. Dazhi Yang, Harbin Institute of Technology, China
Dazhi Yang is a professor with the Harbin Institute of Technology. He received the B.Eng., M.Sc., and Ph.D. degrees from the Department of Electrical Engineering, National University of Singapore, Singapore, in 2009, 2012, and 2015, respectively. In 2020, he received support from the National Talent Program, which is a high-prestige research award by the Ministry of Industry and Information Technology of China. In 2017, he became the youngest associate editor of the Solar Energy journal, and has been serving as one of four subject editors of that journal since 2019. He is an active participant of the International Energy Agency, Photovoltaic Power Systems Programme, Task 16. He has published more than 140 journal papers, with a total citation number of 6376 (Google Scholar), an H-index of 43, and an i-10 index of 100. Currently, he has most journal publications on solar forecasting in the world. In 2020 and 2021, he is listed as one of the world's top 2% scientists (for both single year and career) by Stanford University. In 2021 and 2022, he is listed as one of the world's top 100,000 scientists published by the Global Scholars Database.
Co-Chair: Dr. Wenting Wang, Harbin Institute of Technology, China
Wenting Wang received her B.Eng. and M.Sc. degrees from the Northeast Electric Power University, China, in 2017 and 2020, respectively. Currently, she is pursuing the Ph.D. degree with the Department of Electrical Engineering and Automation, Harbin Institute of Technology. She has a profound interest in solar forecasting and grid integration, and power system scheduling. She has authored more than 20 journal papers, with a total citation of 269, and an H-index of 10. She has authorized 3 patents and participated in more than 10 research and industrial projects as a key member. In 2021, she was invited by the Institute of Atmospheric Physics, Chinese Academy of Sciences, and published an article titled "A concise overview on solar resource assessment and forecasting" in Advances in Atmospheric Sciences, which is now an ESI highly cited paper. In 2022, she has been awarded with the SPIES 2022 best paper award and best paper award of Women in Power Forum.
Title: Key Technologies for Planning and Operation of Low-Carbon Integrated Energy System under the 'Dual Carbon' Target
Scope:Integrated Energy System Planning and Optimal Operation
Keywords: 'Dual Carbon' Target; Integrated Energy System; Low-Carbon Planning; Safe and Stable Operation; Low-Carbon Economy
Facing the challenge of ‘dual carbon’ target, low-carbon integrated energy system is a multi-energy system that actively or passively reduces carbon emissions by integrating carbon capture technology, increasing the proportion of non-carbon energy, and fully mobilizing the flexible resources of each energy linkage of source-grid-load-storage. As an important way to realize the low-carbon transformation of China 's energy, it has advantages of multi-energy complementary, energy cascade utilization, energy saving and consumption reduction. In the construction and development of low-carbon integrated energy system, strategy planning of integrated energy system, safe and stable operation of integrated energy system, integrated carbon capture technology and carbon flow analysis, distributed renewable energy consumption, modular construction and regulation of smart building nano-grid, traffic-energy coupling optimation, vehicle-pile-grid coupling regulation, electrical vehicle V2G technology, construction of integrated energy cyber-physical system, green energy supply technology of data center, artificial intelligence technology, big data technology and platform development, low-carbon economy and sustainable development are key technologies.
Chair: Assoc. Prof. Hong Fan, Shanghai University of Electric Power, China
Hong Fan received the M.S. degree in electrical engineering from Guangxi University in 2004, and the Ph.D. degree from Shanghai Jiaotong University in 2009. She was a Lecturer with the Department of Electrical Engineering, Shanghai University of Electric Power in 2009. She went to the Robert W. Galvin Center for Electricity Innovation, Illinois University of Technology, Chicago, IL, USA, as a Visiting Scholar from 2018 to 2019. She is currently an Associate Professor with the Department of Electrical Engineering, Shanghai University of Electric Power. Her main research interests include multi-energy system optimal operation, multi-energy system planning, electric vehicles, electric bus, transportation electrification, and electricity market. She won the first prize of Sci-Tech Progress of State Grid Sichuan Electric Power Company, and, as corresponding author or lead author, she published over ten papers in SCI journal and over twenty papers in EI journal.
Co-Chair: Dr. Haijun Xing, Shanghai University of Electric Power, China
Haijun Xing received his B.Eng. and M.Eng. degrees in Department of Electrical Engineering from Harbin Institute of Technology, Harbin, China, in 2002 and 2004 respectively. He received his Ph.D. degrees in Department of electrical engineering from Shanghai JiaoTong University, Shanghai, China, in 2016. He is now a lecturer of Shanghai University of Electric Power. His special fieldsof interest cover power system optimization, integrated energy system and smart grid.
Co-Chair: Assoc. Prof. Shiwei Xia, North China Electric Power University, China
Shiwei Xia received the Ph.D. degree in power systems from The Hong Kong Polytechnic University, Hung Hom, Hong Kong, in 2014. Then, he worked as a Research Associate and subsequently as a Postdoctoral Fellow with the Department of Electrical Engineering, The Hong Kong Polytechnic University, in 2016-2017. He was a visiting scholar in the Robert W. Galvin Center for Electricity Innovation at Illinois Institute of Technology, Chicago, USA in 2019-2020. Currently, he is with the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing. He won the honor of Beijing Excellent Talents and engaged in many projects including NSFC, the national key R&D projects, the RGC-funded projects of the Hong Kong Government, and the Smart Grid Joint Foundation Program of NSFC-State Grid Corporation of China. He published about 100 peer-reviewed papers and applied for 40 invention patents. IEEE Senior Member.
Title: Smart Grid Intelligence and Security
Scope:Grids Security, AI/ML, Advanced Computations, Controls, and Communications
Keywords: Intelligent systems, Data-driven techniques, Security and Privacy
The evolution of smart grids has transformed the conventional power system into a dynamic and intelligent network, harnessing advanced computational and communication technologies. This transition has paved the way for revolutionary improvements, making the power system more intelligent, efficient, and sustainable. Key to this transformation are artificial intelligence (AI) and machine learning (ML) techniques, offering promising avenues for enhancing smart grid systems in areas such as advanced monitoring and control, smart metering, remote operations, and real-time data analysis.
However, the effectiveness of AI and ML in smart grid applications hinges on the availability of extensive data related to system status. This reliance on data also opens doors to potential vulnerabilities, enabling malicious adversaries to compromise data integrity or exploit system weaknesses, thereby jeopardizing the functionality of ML/AI-based smart grid systems. Moreover, with the increasing digitization and interconnectedness of smart grids, new security challenges arise, including cyberattacks, physical threats, and malicious software attacks. These security concerns can have significant implications for the stability, reliability, and availability of the entire power system.
The "Smart Grid Intelligence and Security Workshop" aims to convene researchers, experts, and stakeholders to address these pressing issues. Our objective is to advance the intelligence of smart grids while simultaneously exploring innovative techniques to protect privacy and security. We are actively seeking original research contributions and case studies that shed light on strategies and technologies to improve and safeguard communication, data, control systems, and operational components. Join us in our mission to ensure the stability and reliability of smart grid systems in an era of rapid technological advancement. Your participation and insights are essential in shaping the future of smart grids.
Chair: Prof. Wenqiang Jin, Hunan University, China
Wenqiang Jin, a professor at the School of Information Science and Engineering, Hunan University, is a national high-level young talent, a high-level young talent in Hunan Province, and an expert of the Hunan Province Consultation Committee on Network Security and Informatization. His primary research areas include Internet of Things (IoT) security, side-channel information analysis and utilization, data privacy protection, and more. In the past five years, he has led two National Natural Science Foundation projects and several industry-oriented projects. He has published more than 20 high-quality papers (including 13 CCF-A papers) in top international journals and conferences such as CCS, NDSS, ACSAC, IEEETMC, TIFS, and TDSC. His paper was awarded the Outstanding Paper of the 4th Military Big Data Forum. He has funded the SenSecLab research team and was awarded the title of "Huawei Terminal Security Outstanding Partner of 2022" by Huawei.
Co-Chair: Dr. Yu Liu, Hunan University, China
Dr. Yu Liu received the Ph.D. degree from Hunan University, China. Currently, she is a postdoctor in the College of Computer Science and Electronic Engineering, Hunan University. Her research interests include IoT security, communication security, and chaotic cryptography.
Title: Smart Grid, Cyber Security, Sustainable Energy
Scope:Towards Intelligent and Integrated Architecture for Sustainable Energy Networks: Challenges and Approaches
Keywords: Distributed Control; Cyber-Physical Power Systems; Hydrogen Fuel Cells
Over the past few decades, there has been a global initiative towards carbon neutrality, promoting the rapid development of sustainable energy systems. This trend entails two phenomenons. On one hand, sustainable energy system has experienced a shift towards distributed hardware and algorithmic infrastructure such as distributed wind turbines. The utilization of networks and interactions with the cyber domain greatly enhances the flexibility, efficiency and coordination of large-scale energy systems. However, this also means that distributed systems are more vulnerable to adversaries. In practical distributed energy systems, a wide range of adversaries exist in various forms (such as deception attack and denial-of-service attack) that affect various channels (such as the sensor channel, communication channel and actuator channel). In the first section of this workshop, we will focus on novel control, estimation and optimization approaches to enhance the resilience of sustainable energy network.
On the other hand, increasing focus have been placed on novel carbon-neutral energy vectors such as hydrogen. The proton exchange membrane fuel cell (PEMFC), which generates electricity from the electrochemical reaction between hydrogen and oxygen, has been widely utilised due to its high efficiency, favourable power density, zero-emission and low operating temperature. In the field of unmanned aerialvehicles, fuel cells enable long-endurance hovering missions; furthermore, fuel cells has shown great potential in fields such as vehicles, power generation and sustainable energy grids. Hydrogen fuel cells are complex multi-physics systems that comprise of multiple coupled subsystems. From the control perspective, the fuel cell is inherently nonlinear and multi-variable. However, existing control strategiesand architecture for fuel cells are mainly based on a linearized hierarchical decoupling of each subsystem loop, and full-loop analysis and control at the system level have not yet been studied in-depth. To this end, the second part of this workshop will focus on multi-input, multi-output (MIMO) control and management approaches that consider the internal couplings and nonlinearities of fuel cells.
Chair: Researcher Zhen Dong, Suzhou SEEEx Technology Co., China
Zhen Dong received the B.Eng. and M.Eng. degrees in electrical and electronic engineering from the Harbin Institute of Technology (HIT), Harbin, China, in 2016 and 2018, respectively, and the Ph.D. degree in control systemsfrom the Department of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K, in 2022. He is the founder and CEO of Suzhou SEEEx technology co. Dr. Dong has published over 30 peer-reviewed academic papers and authorized 20 invention patents. His research focuses on the integrated optimization and control of sustainable energy systems.
Co-Chair: Dr. Xiaoyu Guo, City University of Hong Kong, China
Xiaoyu Guo received the B.S. degree in electrical and electronic engineering from Beihang University, Beijing, China, in 2018, the M.Res. degree in photonics engineering from the University of Cambridge, Cambridge, U.K., in 2019, and the Ph.D. degree in electrical and electronic engineering from the Department of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K, in 2023. He is currently a Postdoctoral Researcher with the Department of Biomedical Engineering, City University of Hong Kong, Hong Kong. Xiaoyu Guo has published over 20 papers in international journals and conferences (11 as first author). His research interests include resilient estimation and control of distributed systems, and sustainable energy systems.
Title: Stability and Control of Renewable Energy Sources Integrated Power Systems
Scope:Power System Stability, Control of AC/DC Converters, Renewable Energy Integration
Keywords: Power System Stability, Control of AC/DC Converters, Renewable Energy Integration
The predominant form of energy is coal, which, during its production and utilization, generates substantial amounts of air pollution, leading to acidification of land and rivers. The emission of greenhouse gases from this process also contributes to global warming. In recent years, widespread concern has grown at the national and societal levels regarding the energy crisis and environmental pollution. To tackle these issues, accelerating the development of renewable clean energy and efficient utilization of new energy forms has become one of the key strategies in China’s energy sector. Renewable energy sources—which include wind, hydro, solar, tidal, geothermal, and biomass energy—offer numerous benefits such as reduced environmental pollution, broad application prospects, and sustainability.
To improve the energy structure and alleviate environmental pollution, the government is providing policy support for new energy power generation, resulting in a swift increase in installed capacity. However, compared to traditional synchronous generators, most new energy systems are grid-connected through power electronic converters on the grid side, which can significantly impact the stability of the grid system. Therefore, this workshop will primarily focus on the stability of new energy grid-connected systems and the control strategies for grid converters. Exploring these topics will contribute to future flexible control and stable operation of large-scale grid-connected new energy systems.
Chair: Assoc. Prof. Puyu Wang, Nanjing University of Science Technology , China
Dr. Puyu Wang is an Associate Professor at Nanjing University of Science & Technology. He received his Bachelor’s degree in Electrical Engineering from Huazhong University of Science and Technology and his Ph.D. from the University of Birmingham, UK. He joined Nanjing University of Science and Technology in 2016. His research primarily focuses on the stability and control of hybrid AC/DC power systems, DC transmission technology, microgrids, and distributed control systems. He has been the principal investigator for several projects funded by the National Natural Science Foundation of China, Jiangsu Provincial Natural Science Foundation, China Postdoctoral Science Foundation, National Key Laboratory Fund, and State Grid Corporation of China's Scientific Research projects. Over recent years, he has published over 20 papers in SCI/EI-indexed journals. In 2017, he has won a third prize in Jiangsu Province for Electrical Science and Technology. Furthermore, he serves as peer-reviewers for several domestic and international journals.
Co-Chair: Dr. Fayou Yan, Southwest University , China
Dr. Fayou Yan is a Lecturer at Southwest University. He received the B.Sc. degree from Tianjin University, and the Ph.D. degree in electrical engineering from China Electric Power Research Institute (CEPRI), Beijing, China, in 2011 and 2016, respectively.His main research interests include HVDC grid dynamics and control, stability analysis. He has been the principal investigator for one project funded by the National Natural Science Foundation of China.
Title: Flexibility Assessment and Improvement of Power Systems for The Integration of High Penetrated Renewable Energy
Scope:Optimal Planning, Operation, and Control for New-type Power System
Keywords: Demand Response, Energy Storage, Low-carbon Transition, Power Systems, Renewable Energy, Smart Grid
With the urgent requirements for carbon neutrality and carbon peak, renewable energy sources such as wind power and photovoltaics are considered as the alternative way to achieve low-carbon and green development. The integration of renewable energy is also set to enhance the quality of life on our planet significantly. These clean and sustainable renewable energy sources bring a multitude of benefits to the future electricity industry. The integration of massive renewable energy sources has introduced natural characteristics such as randomness, intermittency, and fluctuation, which have promoted the challenges of the mismatch between power supply and demand in power systems. To overcome these challenges, some new technologies such as demand response or management, energy storage, multi-energy resources coordination, optimal planning, and control techniques have been introduced to promote the integration of renewable energy sources. These require that the planning, dispatching, evaluation, operation, energy management, and controlling methods can adapt to the operation and control of future power systems. In light of the uncertainty and complexity associated with the operation of future new-type power systems incorporating massive amounts of renewable energy sources, there is a need for the scientific community to conduct more in-depth research that involves scholars from diverse disciplines and regions. To explore the optimal operation and management of new-type power systems, this workshop aims to utilize flexible resources to promote the advancement of fundamental research and technological development in the operation and energy management of future power systems. This includes techniques for forecasting, planning, evaluation, scheduling, dispatching, optimal energy management, control, and other related areas.
Chair: Dr. Jian Wang, Hohai University, China
Jian Wang received the B.S. and Ph.D. degrees in electrical engineering from Chongqing University, Chongqing, China, in 2015 and 2020, respectively. He is currently a Lecturer with Hohai University, Nanjing, China. He was a Visiting Research Student with the University of Saskatchewan, Saskatoon, SK, Canada, and a Postdoctoral Fellow with the University of Macau, Macau, China. His research interests include active distribution networks and convex optimization.
Co-Chair: Dr. Zhihao Yang, Yangzhou University , China
Zhihao Yang received a B.S. degree in Electrical Engineering and Automation from Jiangsu University of Science and Technology, Zhangjiagang, China, in 2016, a M.S. degree and a Ph.D. degree in Power Systems and Automation and Electrical Engineering from Hohai University, Nanjing, China, in 2019 and 2023, respectively. He was a Research Student in the Department of Electrical & Computer Engineering at National University of Singapore from 2022 to 2023.
He is currently a Lecturer in the College of Electrical, Energy and Power Engineering at Yangzhou University, Yangzhou, China. His research interests include distribution network operation and demand response. He was a technical committee member of 2022 IEEE Symposium Series on Computational Intelligence held in Singapore.
Title:New Energy Power Generation and Transportation
Scope:New Energy Power System
Keywords: New Energy Power Generation, New Energy Transportation, Greenhouse Gas Emissions, Carbon Emissions, Energy Conversion Systems
The global climate crisis calls for urgent action to reduce greenhouse gas emissions. Power generation and transportation systems are the main sources and consumers of energy, accounting for the majority of carbon emissions worldwide. The electricity production and transportation sectors contribute to about 40% and 23% of the global CO2 emissions, respectively. Therefore, developing energy conversion systems for new energy power generation and transportation is a crucial step towards mitigating carbon emissions. In the power generation field, emerging industries such as wind and solar power are progressively displacing conventional coal-based electricity generation. In the transportation field, the rapid adoption of new energy vehicles, hybrid transportation systems, and fuel cell vehicles provides an effective way to enhance air quality and curb carbon emissions.
New energy power generation and transportation is a vibrant and promising research area that has received wide attention from the international academic and industrial communities in recent years. According to market research reports, the global new energy power generation and transportation market is expected to grow at a high rate in the next few years, benefiting from technological innovation, cost reduction, policy support, and other factors. Meanwhile, this area also faces some significant scientific and engineering challenges that require interdisciplinary, cross-domain, and cross-border collaboration and communication.
This symposium aims to foster the advancement of new energy power generation technologies and transportation systems, providing vital technological support to achieve the goal of sustainable energy and transportation systems and accelerate the transition to a low-carbon future. The difference and innovation of this symposium from other related conferences and papers is that it focuses on new energy power generation and transportation, rather than broader topics such as smart grid or green communication. The research topics within this scope include but are not limited to:
New Energy Power Generation Technologies
Wind Turbine Design
New Energy Transportation Systems
High-Quality Electric Motor Design
Chair: Prof. Wenliang Zhao, Shandong University, China
Prof. Wenliang Zhao received the B.S. degree in control science and engineering from Harbin Institute of Technology, China, in 2011, and the Ph.D. degree in electronic systems engineering from Hanyang University, South Korea, in 2015. From 2015 to 2016, he was a Postdoctoral Fellow with Hanyang University, South Korea. In 2016, he joined the School of Electrical Engineering, Shandong University, as a Research Professor. From 2020, he serves as a professor at the School of Electrical Engineering at Shandong University and currently is the director of the Institute of Electrical Machines and Apparatus.
He has led over 20 research projects, including the National Natural Science Foundation, the sub-projects of the National Key R&D Program, the Natural Science Foundation of Shandong Province of China for Outstanding Young Scholars, and various collaborative projects with enterprises. He has authored or coauthored more than 100 papers on the topics of his research interests, which include the design and analysis of new energy power generation systems, electrical equipment design and optimization, and fundamental research on common electrical machinery issues. He has won the best paper awards at seven international conferences, including the 13th International Symposium on Linear Drives for Industry Application, and the 2021 24th International Conference on Electrical Machines and Systems. He is also an associate editor of IEEE Transactions on Industrial Electronics, and the guest editors of international journals such as Symmetry and Frontiers.
Co-Chair: Dr. Chen Qi, China Electric Power Research Institute (CEPRI) Renewable Energy Research Center, China
Dr. Chen Qi received his bachelor's degree from Zhejiang University in 2014, and the Ph.D, degree for Shanghai Jiao Tong University in 2020, both in Electrical Engineering. He was a visiting scholar at Illinois Institute of Technology, Chicago, US from 2017 to 2019. Currently he is working at the Renewable Energy Research Center of CEPRI. Dr. Chen Qi's research interests include renewable energy grid integration control, test and measurement. He has published more than 20 papers and received more than 10 patents. He is a member of IEC TC88 WG21 working group, and a member of MEASNET power quality expert group.
Title:Solar PV, Energy Storage and Smart Grids
Scope:Smart Grids and Power System
Keywords: Solar PV, Energy storage
PV and Hydrogen Hybrid Power Generation.
PV Generation System Based on Hydrogen System Storage.
Hydrogen Storage System.
Electrolysis of Water into Hydrogen.
Power System Relay Protection and Reliability Assessment with Grid-connected PV.
Time-interval Power Supply Reliability of DistributionNetwork Including PV Generation with Hydrogen Storage.
Control Strategy for Power Quality Governance Based on Remaining Capacity of Grid Connected Photovoltaic Inverters
Chair: Accos. Prof. Bin Li, PV center at North China University of Water Resources and Electric Power (NCWU)
LI Bin, received B.S.E.E. and M.S.E.E. degrees from Hohai University, Nanjing, Jiangsu Province, China, in 1996 and 2004, respectively, and has been a Ph.D. in energy and electrical engineering at Hohai University. His research interests are power system relay protection and reliability assessment with grid-connected PV.
Currently, he is an Associate Professor at PV center at North China University of Water Resources and Electric Power (NCWU), Zhengzhou, China.
Chair: Keke Wang, School of Management, Zhengzhou University
Keke Wang, received PhD from North China Electric Power University (NCEPU), Beijing, China, in 2021. Currently, she is a lecturer at the School of Management, Zhengzhou University, Henan, China. Her research interests are new energy generation power forecasting, and market mechanism for promoting new energy consumption.
Title:Advancing UAVs for Smarter Grids: Time-to-Collision Safety Systems and Autonomous Capabilities
Scope:This workshop explores the evolving role of Unmanned Aerial Vehicles (UAVs) in smart grid applications, emphasizing their transformation from mere inspectors to intelligent aerial assistants and maintainers. Addressing current limitations in safety systems designed for aerial photography, the focus is on pioneering time-to-collision based warning systems. Inspired by the efficient visual systems of flying animals, these systems have the potential to enhance UAV autonomy, enabling close proximity tasks crucial for smart grid scenarios. Delving into safety requirements specific to smart grids, the workshop introduces and compares time-to-collision technology, aiming to propel UAVs towards safer and more autonomous operations within the dynamic landscape of smart grid applications.
The Use of Unmanned Aerial Vehicals (UAVs) is becoming increasingly common in smart grid, especially in powerline inspection scenarios. UAVs provide a flexible aerial view of the infrastructure that can identify damage situation of the equipment. As technology advances, future UAVs are expected to evolve into safer and more intelligent tools, serving not only as inspectors but also as aerial assistants and maintainers. One envisioned application is the use of UAVs for tasks such as transferring heavy objects or tools to power-lines, located at significant heights. This would transform UAVs into robotic assistants capable of autonomous tasks.
However, the current safety systems of aerial drones, designed primarily for aerial photography, pose limitations for close-distance tasks, requiring the UAV to approach obstacles closely before activating collision warnings. To address this limitation, the workshop explores the concept of time-to-collision based warning systems, inspired by the efficient visual systems of flying animals like birds and insects. Such systems have the potential to allow UAVs to approach infrastructures closely while assessing collision risks based on the drone's speed and trajectory. This feature is crucial for enabling UAVs to autonomously perform tasks and assist in smart grid scenarios.
The workshop delves into the discussion of distinct safety requirements between commercial UAVs and smart grid-specific UAVs. It introduces time-to-collision based collision sensing and avoidance technology, highlighting its potential benefits in the smart grid. Additionally, the workshop compares the existing technologies used by UAVs to sense their environment and avoid collisions with the proposed time-to-collision based safety systems. The overarching goal is to enhance the safety and autonomy of UAVs in smart grid applications.
Chair: Accos. Prof. Jiannan Zhao, School of Electrical Engineering,Guangxi University
Assist. Prof. Jiannan Zhao received the PhD degree from the College of Computer Science, in University of Lincoln, Lincoln, U.K. He was a Research Assistant at Tsinghua University, from 2017 to 2018. He is currently an assistant professor with the School of Electrical Engineering, Guangxi University, Guangxi, China. His current research interests include, bio-inspired visual algorithms, power inspection robots and UAV applications in smart grid.
Chair: Dr. Jiawei Sun，School of Electrical Engineering,Guangxi University
Dr. Jiawei Sun, a committed, meticulous, research scholar with five years of expertise in field of the energy management systems for electric vehicles, as well as high-speed descent and energy management research for power inspection UAV. Additionally, possessing two years of experience as a university lecturer specializing in electrical engineering. His current research interests are focused on hydromechanic problems and energy management system of electric UAVs.
Title:New Power System Load Control and Demand Response
Scope: Smart Grid; Power system
Keywords: Load Control; Demand Response
Building a new type of power system with a high proportion of new energy is the only way for China's energy and electricity development, and the volatility of new energy poses new challenges to the flexibility of the power system. On the demand side, high energy consuming industrial loads have the advantages of large individual capacity, which can effectively improve the flexibility of the power system. The report takes typical high-energy consuming industrial loads such as electrolytic aluminum, arc furnaces, and polycrystalline silicon as examples to study load power control methods and propose a new type of real-time control technology for industrial loads in power systems, which can respond to grid demand as needed and effectively improve the flexibility of grid regulation.
Chair: Accos. Prof. Siyang Liao, Wuhan University, China
Siyang Liao , Associate Professor, Doctoral Supervisor, Selected for the "Youth Talent Promotion Project" of the Chinese Association for Science and Technology. He served as the Deputy Secretary General of the AC/DC Power Supply and Distribution Technology and Equipment Professional Committee of the Chinese Electrotechnical Society, and the Deputy Secretary General of the IEEE PES China Energy Storage Grid Connection and Operation Technology Subcommittee.
Chair: Bochao Zhao, Tianjin University, China
Dr. Bochao Zhao received the B.Eng. degree (Hons.) and the Ph.D. degree in electronic and electricity engineering from the University of Strathclyde, Glasgow, U.K., in 2014 and 2020, respectively. His research interests include demand response, energy trading in virtual power plants, energy disaggregation, and graph signal processing applications. He is currently supported by National Nature Science Foundation, National Key R&D Program of China, etc., and serves as a young editorial board member of Computer Engineering.
Title:Modeling and Control of Power Electronic Converters in Smart Grids
Scope: Modeling and Control of Power Electronic Converters for Renewable Power Generation
This workshop will focus on the modeling and control of power electronic converters in Smart Grids. The specific topics are:
1.Modeling and control of PV or battery inverters;
2.Power converters for power quality improvement;
3. Power converters in AC or DC microgirds.
Chair: Accos. Prof. Chunguang Ren, Taiyuan University of Technology, China
Chunguang Ren received his Ph.D. degree in electrical engineering from Taiyuan University of Technology, China, in 2017. Currently he is working as an Associate Professor at Taiyuan University of Technology. His current interests include modeling and control of power electronics, power energy routers, power electronics interfaces for renewable source in microgrid, power quality and stability of power converters. He has been published more than 30 papers cited by SCI and EI.