ANALYSIS OF TRIPARTITE GAME IN POWER SYSTEMS BASED ON UNCERTAIN NASH EQUILIBRIUM THEORY

被引:0
|
作者
Wu, Liang [1 ,2 ]
Yan, Xiaolin [3 ]
Yao, Zhangsong [4 ]
Zhao, Teng [5 ]
机构
[1] North Minzu Univ, Sch Management, Yinchuan 750021, Ningxia, Peoples R China
[2] North Minzu Univ, Ningxia Key Lab Intelligent Informat & Big Data Pr, Yinchuan 750021, Ningxia, Peoples R China
[3] Tiangong Univ, Sch Math Sci, Tianjin 300387, Peoples R China
[4] Nanjing Xiaozhuang Univ, Sch Informat Engn, Nanjing 211171, Peoples R China
[5] North Minzu Univ, Sch Math & Informat Sci, Yinchuan 750021, Ningxia, Peoples R China
关键词
uncertain Nash equilibrium; power system; tripartite game; uncertainty theory; APPROXIMATING SOLUTIONS; ALGORITHMS;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Power systems serve as the fundamental infrastructure for the socioeconomic development of modern societies. Researching power systems can stimulate the growth of the power industry and contribute to the sustainable development of society. This paper aims to address uncertainties prevalent in power systems, including extreme weather events, disruptions in renewable energy supply, and adjustments in economic policies. To achieve this objective, an uncertain Nash equilibrium model is established. Subsequently, a game theoretic analysis is conducted to maximize the interests of users, grid companies, and proxy purchasers. Under the condition of not necessarily continuous differentiability, the Riemann-Stieltjes discrete approximation method has been proposed. The difficulty of calculating the expectation of the optimal revenue function has been resolved. Weak first-order equilibrium condition based on Clarke's generalized gradient, the convergence and convergence rate of uncertain Nash equilibrium solutions are proved.
引用
收藏
页码:117 / 128
页数:12
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