【刊名】International Journal of Electrical Power & Energy Systems
【作者单位】1Shanxi Energy Internet Research Institute, Taiyuan, 030000, Shanxi, China;College of Computer Science and Technology & College of Data Science, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China;Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province, Taiyuan, 030024, Shanxi, China;Corresponding author at: College of Computer Science and Technology & College of Data Science, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China.;2Shanxi Energy Internet Research Institute, Taiyuan, 030000, Shanxi, China;College of Computer Science and Technology & College of Data Science, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China;Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province, Taiyuan, 030024, Shanxi, China;3Shanxi Energy Internet Research Institute, Taiyuan, 030000, Shanxi, China;College of Computer Science and Technology & College of Data Science, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China;Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province, Taiyuan, 030024, Shanxi, China;College of Computer Science and Technology, Taiyuan Normal University, Taiyuan, 030619, Shanxi, China;4College of Computer Science and Technology & College of Data Science, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China;Key Laboratory of Big Data Fusion Analysis and Application of Shanxi Province, Taiyuan, 030024, Shanxi, China
【年份】2024
【卷号】Vol.162
【页码】110273
【ISSN】0142-0615
【关键词】Renewable energy Multi-objective optimization Two-stage robust optimization Meta reinforcement learning Multi-agent reinforcement learning
【摘要】 The integration of renewable energy into the power grid poses significant challenges for optimization and scheduling of the power system. In recent years, methods based on deep reinforcement learning have surpassed traditional methods on the high com...
