The Agricultural Energy Internet, which is a significant extension of the Energy Internet within the agricultural domain, plays a crucial role in advancing agricultural modernization. Essential technologies underpin the development of the Agricultural Energy Internet. This speech conducts a comprehensive review of the pivotal technologies associated with the Agricultural Energy Internet in two key sectors: agriculture and fisheries. It outlines the operational mechanisms and power consumption characteristics of cutting-edge new-energy agricultural intelligent equipment. Furthermore, it delves into the principles and profitability models behind the agro-industrial complementary operation. Additionally, within the context of the Agricultural Energy Internet, this speech presents future trends in state-of-the-art new energy agricultural intelligent equipment, agro-industrial collaboration, and carbon-neutral technologies, offering innovative perspectives for advancement in this field.
Xueqian Fu (IEEE Senior member) is Director of IEEE Smart Village CWG-Marketing, IEEE Young Professionals, and Associate Professor at China Agricultural University. He is a one of World‘s Top 2% Scientists 2023，and he is recognized as 'Outstanding Talent' and 'Young Star B’ by CAU. He received his B.S. and M.S. degrees from North China Electric Power University in 2008 and 2011, respectively. He received his Ph.D. degree from South China University of Technology in 2015. From 2011 to 2015, he was an electrical engineer with Guangzhou Power Supply Co. Ltd.. From 2015 to 2017, he was a Post-Doctoral Researcher with Tsinghua University. His current research interests include Statistical Machine Learning, Agricultural Energy Internet, and PV system integration.
He is an associate Editor-in-Chief of “Information Processing in Agriculture", an associate editor of “Protection and Control of Modern Power Systems” and “Journal of Data Science and Intelligent Systems”, a youth editor of “Clean Energy Science and Technology ", the Lead guest editor of “International Transactions on Electrical Energy Systems", “IET Renewable Power Generation" and “Artificial Intelligence and Applications”.
In the past decade, a large number of renewable energy power plants (REPPs) such as photovoltaic power plants and wind power plants have been integrated into the power system, providing a large amount of electricity supply. However, the integration of REPPs also poses significant challenges to the secure operation of the power system. For example, the subsynchronous control interaction (SSCI) between REPPs and power grids has precipitated worldwide, causing severe consequences, such as equipment damage, tripping of REPPs, and the collapse of the power system. Thus, it is significant to propose countermeasures to mitigate SSCI. However, the integration of new devices and uncertain operating conditions of REPPs bring unknown effects and uncertain characteristics to SSCI, causing great challenges to mitigating SSCI. To this end, we propose a shunt converter-based adaptive coupling reshaping control (ACRC) to mitigate the SSCI. First, the implicit coupling relationship between the shunt converter and the renewable energy power system is considered and investigated, and a coupling impedance model is proposed, which intuitively reveals the dynamic interaction mechanisms between the shunt converter and the power system. Then, based on the coupled impedance model, the ACRC is proposed to adaptively adjust the coupling relationship between the shunt converter and the power system, which increases the grid resistance and hence mitigates SSCI. The proposed ACRC solely relies on the port characteristics of the power grid (i.e. grid impedance) and the coupling relationship between the shunt converter and the power system, thus this method is independent of the type, the control strategy, and the operating condition of REPPs, and the type of power grids. Finally, we verified the effectiveness and adaptivity of the proposed ACRC through controller-hardware-in-loop tests.
Chengxi Liu is currently a Professor in the School of Electrical Engineering and Automation, Wuhan University, China. He also serves as the Vice Director of Department of Power Systems and the Vice Deputy of Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network. Prior to joining the Wuhan University, he was previously an Associate Professor in the Department of Energy Technology in Aalborg University, Denmark. He is an IEEE and CSEE senior member and an associate member of CIGRE C6 as well as the Deputy Director of IEEE PES Wuhan Chapter. Additionally, he serves as an Associate Editor for the IET JoE and CSEE JPES. He has authored over 100 papers, including 40 SCI papers, and has filed more than 10 patents, with h-index 30. His research interests include power system stability and control, power system simulation, renewable energy integration and control.
Shenyang University of Technology, China
Insulators in the gas-insulated transmission lines (GIL) functions as the supporting medium. It was
reported that more severe surface charge accumulation would occur under DC voltage compared
with the condition under alternating current voltage. This will increase the risk of flashover in DCGILs. Considering the Joule heat from the conductor, thermal gradient is established inside the pipe
of the operating GIL. This thermal field will affect the electric field distribution of the DC-GIL via
the temperature-dependent electric conductivity of the insulator, which will further show influence
on the charge accumulation. Besides, this temperature-dependent conductivity would directly affect
the charge accumulation process via the conduction through the insulator volume. The transient
surface charge characteristics of a basin-type insulator in a horizontally installed SF6-filled DC-GIL
are investigated based on a three-dimension simulation model under thermal-electric coupled stress.
The influence of ambient temperature, load current and gas pressure on the surface charge and
electric field characteristics is investigated. Simulation results indicates that the surface charge
accumulation process is accelerated due to the promotion of bulk conduction under high ambient
temperature, high load current and low gas pressure. It is revealed that the transient surface charge
under coupled fields should be focused when dealing with the insulation characteristics of DC-GIL
insulators during long-term operation. The mentioned operating conditions should be paid attention
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.
Now he is an associate professor at the School of Electrical Engineering,
Shenyang University of Technology. He is the director of The Institute of High
Voltage and Power System in this university. His major research interests include
gas discharge, arc quenching technology, condition monitoring and diagnosis of
electrical power equipment. He is a young member of Technical Committee on
High Voltage in CSEE, young member of Technical Committee on Plasma and
Its Applications in CES, Deputy Secretary General of Sub-Technical Committee on Basic Theory of
Electric Arc in IEEE PES (China).
Mohan Lal Kolhe
University of Agder, Kristiansand, Norway
The increasing demand for sustainable and reliable energy solutions has fueled the development of
smart microgrids (MGs) integrated with renewable energy sources (RES). These decentralized
energy networks offer significant advantages, including enhanced power quality, improved energy
efficiency, and reduced reliance on centralized power grids. However, the techno-economic design of
MGs with RES integration requires careful consideration of various factors, including the selection
of appropriate RES technologies, the optimization of system components, and the evaluation of
economic viability. This abstract delves into the techno-economic aspects of designing smart MGs
powered by RES, highlighting the critical factors that influence the successful implementation of
these innovative energy systems.
Prof.Mohan Lal Kolhe is a full professor of smart grid, hydrogen energy and
renewable energy technologies at the University of Agder's Faculty of
Engineering and Science in Norway. He is a leading renewable energy
technologist with three decades of international academic experience, having
previously held academic positions at world-renowned universities such as
University College London (UK / Australia), University of Dundee (UK),
University of Jyvaskyla (Finland), Hydrogen Research Institute, QC (Canada),
and others. He was also a member of South Australia's first Renewable Energy
Board (2009-2011) and worked on formulating renewable energy policies. He
has been offered the positions of Vice-Chancellor of Homi Bhabha State University Mumbai
(Cluster University of Maharashtra Government, India), full professorship(s) / chair(s) in 'sustainable
engineering technologies/systems' and 'smart grid' from Teesside University (UK) and Norwegian
University of Science and Technology (NTNU), respectively, for his enormous academic
contributions to sustainable energy systems. His work on energy systems and electrical & electronic
engineering has been recognized in the top 2% of scientists worldwide consistently from 2020 to
2023, according to Stanford University matrices based on Elsevier data. His top 10 publications have
received an average of more than 200 citations each, making him an acknowledged pioneer in his
profession on a global scale.