A Special Issue: “Application of Artificial Intelligence Algorithm in New-type Power System”for the Global Energy Interconnection Journal

With the increasing popularity of clean and low-carbon energy transition, the large-scale development and utilization of renewable energy, and the rapid development of distributed energy,energy storage, electric vehicles, and other interactive energy facilities, various new forms of energy use continue to emerge.To cope with climate change, developing renewable energy represented by wind and photovoltaic has become an inevitable choice.The new-type power system has become an important trend and focus.To improve the operational safety and data accuracy of the power system,the United States has implemented the “Grid2030” plan, aiming to realize a seamless connection of“source network load storage.” To improve the management of power grid informatization, South Korea, Japan, and other countries have heavily invested in combining power network systems with information networks and strengthening the application of research results.Artificial intelligence (AI)technology can serve all aspects of the new-type power system, fully permeating modern information technologies and advanced communication technologies, such as sensor technology, network interconnection technology, and platform technology.Subsequently, it promotes the comprehensive perception and universal interconnection of the power grid information fusion and application intelligence.It plays an important role in the integration of the energy and digital revolutions, digital transformation of power grids, and evolution of new-type power system.

This special issue includes two columns, application of AI algorithms in new-type power system and smart grid.In the first column, articles discuss AI technologies in new-type power system, such as multi-agent deep reinforcement learning, cuckoo search and grey wolf optimizer, RF-combination weighting and improved TOPSIS method.Authors applied these improved algorithms to many fields,such as PV system, insulation state evaluation, and integrated energy system, which all provide a reference for the development of new-type power system.In the second column, authors explained smart distribution network evaluation and power system positioning method using different AI methods.

Tianjiao PU

Tianjiao PU professor-level senior engineer and doctoral supervisor,currently serving as the director of the Artificial Intelligence Research Institute of China Electric Power Research Institute Co., Ltd..He has been engaged in scientific research in the fields of power system optimization operation and power artificial intelligence for a long time.At present, he is mainly studying group intelligence, data driven machine learning, and other technologies, and exploring their applications in integrated energy systems and energy Internet.He is now the deputy director and secretary-general of the Artificial Intelligence Special Committee of the Chinese Society of Electrical Engineering and deputy director and secretary-general of the Artificial Intelligence Special Committee of the Chinese Energy Research Association.

Junyong LIU

Junyong LIU is currently a full professor at the College of Electrical Engineering, Sichuan University.He received an honorary Ph.D.degree from Brunel University, Uxbridge, U.K.He received a distinguished professor’s fund from the Royal Society in 2011.His research interests include smart grids, power IoT, cyber-physical power systems, large-scale renewable energy integration and economic dispatch, distribution system planning and operation, power markets, and power grid vulnerability.He is the PI or Co-PI of over 100 funding projects commissioned by the National Natural Science Foundation of China and several power-grid enterprises.

Wei PEI

Wei PEI received the B.S.and M.S.degrees in electrical engineering from Tianjin University, Tianjin, China, in 2002 and 2005, respectively, and the Ph.D.degree in electrical engineering from the Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing, China, in 2008.He is currently a Professor and the Director of the Distributed Generation and Power System Research Group, Institute of Electrical Engineering, Chinese Academy of Sciences.His research interests include the impact of integration of renewable energy sources on the electricity grid and the development of the distribution grid for large-scale renewable integration, active distribution networks, and ac/dc microgrids.