首页|期刊导航|Global Energy Interconnection|Research on cooperative operation optimization of Nash-Stackelberg game in multiple virtual power plants under multiple uncertainties

Research on cooperative operation optimization of Nash-Stackelberg game in multiple virtual power plants under multiple uncertaintiesOA

中文摘要

This paper suggests a way to improve teamwork and reduce uncertainties in operations by using a game theory approach involving multiple virtual power plants(VPP).A generalized credibility-based fuzzy chance constraint programming approach is adopted to address uncertainties stemming from renewable generation and load demand within individual VPPs,while robust optimization techniques manage electricity and thermal price volatilities.Building upon this foundation,a hierarchical Nash-Stackelberg game model is established across multiple VPPs.Within each VPP,a Stackelberg game resolves the strategic interaction between the operator and photovoltaic prosumers(PVP).Among VPPs,a cooperative Nash bargaining model coordinates alliance formation.The problem is decomposed into two subproblems:maximizing coalitional benefits,and allocating cooperative surpluses via payment bargaining,solved distributively using the alternating direction method of multipliers(ADMM).Case studies demonstrate that the proposed strategy significantly enhances the economic efficiency and uncertainty resilience of multi-VPP alliances.

Lei Dong;Shuaibo Zhang;Yang Li;Zibo Wang;Binwen Zhang;Hong Zhu;Wenlu Ji

School of Electric Engineering,North China Electric Power University,Changping District,Beijing 102206,PR ChinaSchool of Electric Engineering,North China Electric Power University,Changping District,Beijing 102206,PR ChinaChina Electric Power Research Institute,Haidian District,Beijing 100192,PR ChinaChina Electric Power Research Institute,Haidian District,Beijing 100192,PR ChinaChina Electric Power Research Institute,Haidian District,Beijing 100192,PR ChinaState Grid Jiangsu Electric Power Co.,LTD.Nanjing Power Supply Branch,Jiangsu Province,Nanjing 210019,PR ChinaState Grid Jiangsu Electric Power Co.,LTD.Nanjing Power Supply Branch,Jiangsu Province,Nanjing 210019,PR China

信息技术与安全科学

Virtual power plantFuzzy chance constraintGeneralized credibilityRobust optimizationNash-Stackelberg gameNash Bargaining

《Global Energy Interconnection》 2026 (1)

P.186-207,22

supported by Science and Technology Project of SGCC(Research on Distributed Cooperative Control of Virtual Power Plants Based on Hybrid Game)(5700-202418337A-2-1-ZX).

10.1016/j.gloei.2025.10.005

评论