Stackelberg Game Optimization Strategy of Virtual Power Plants and Electric Vehicles Based on Conditional Value-at-Risk
Swarm Intelligent Operation and Optimal Control of Virtual Power Plant•Hosted by GAO Yang, SHANG Ce, HU Xiao, XIA Yuanxing, ZHENG Xiaodong, YANG Nan•|更新时间:2025-08-05
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Stackelberg Game Optimization Strategy of Virtual Power Plants and Electric Vehicles Based on Conditional Value-at-Risk
“The large-scale integration of electric vehicles into the power grid poses challenges, and experts propose a virtual power plant and electric vehicle master-slave game optimization strategy based on CVaR, effectively improving the economic efficiency and stability of the power grid.”
Electric Power ConstructionVol. 46, Issue 7, Pages: 53-66(2025)
作者机构:
1.华北电力大学经济与管理学院,北京市 102206
2.国网智慧车联网技术有限公司,北京市 100032
作者简介:
基金信息:
Science and Technology Project of State Grid Corporation of China(5400-202427221A-1-1-ZN)
MA Qianxin,JIA Heping,GUO Yuchen,et al.Stackelberg Game Optimization Strategy of Virtual Power Plants and Electric Vehicles Based on Conditional Value-at-Risk[J].Electric Power Construction,2025,46(07):53-66.
MA Qianxin,JIA Heping,GUO Yuchen,et al.Stackelberg Game Optimization Strategy of Virtual Power Plants and Electric Vehicles Based on Conditional Value-at-Risk[J].Electric Power Construction,2025,46(07):53-66. DOI: 10.12204/j.issn.1000-7229.2025.07.005.
Stackelberg Game Optimization Strategy of Virtual Power Plants and Electric Vehicles Based on Conditional Value-at-Risk
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