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Review of Artificial Intelligence-Driven Optimal Operation of Virtual Power Plants
Power Generation Technology   Pages: 1-17(2026)
Updated:2026-08-31
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    • Review of Artificial Intelligence-Driven Optimal Operation of Virtual Power Plants

    • “AI is becoming a key means to support the fine operation and intelligent upgrading of virtual power plants, such as state perception and dynamic trading. This article introduces its research progress in the field of optimizing the operation of virtual power plants. The expert system summarizes the application principles of AI in resource perception, collaborative scheduling, and market trading, providing new solutions for improving the flexibility and safety resilience of the power system.”
    • Revised:2026-07-30,

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Related Author

FENG Depin
LIU Zhengqi
XU Bing
CHEN Tao
CUI Bo
WANG Chengfu
DONG Xiaoming
ZHAO Hailing

Related Institution

Key Laboratory of Intelligent Power Grid Dispatching and Control, Ministry of Education (Shandong University)
Linyi Power Supply Company, State Grid Shandong Electric Power Company
Xinjiang Power Trading Center Co., LTD., Urumqi 830017, Xinjiang Uygur Autonomous Region
School of Electrical Engineering, Xinjiang University, Urumqi 830046, Xinjiang Uygur Autonomous Region
School of Economics and Management, Northeast Electric Power University