A distributed normalized Nash equilibrium seeking algorithm for power allocation among micro-grids

被引：0
|
作者：
Fu Zao [1 ]
Yu WenWu [1 ,2 ]
Lu JinHu [3 ]
Yao YiYang [4 ]
Mei Feng [4 ]
机构：
[1] Southeast Univ, Sch Cyber Sci & Engn, Nanjing 210096, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China
[3] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[4] State Grid Zhejiang Elect Power Co, Informat & Telecommun Branch, Hangzhou 310007, Peoples R China
来源：
SCIENCE CHINA-TECHNOLOGICAL SCIENCES | 2021年 / 64卷 / 02期
基金：
中国国家自然科学基金;
关键词：
generalized Nash game; normalized nash equilibrium points; distributed nash equilibrium seeking algorithm; AGGREGATIVE GAMES; CONSENSUS;
D O I：
10.1007/s11431-019-1538-6
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a power allocation problem based on the Cournot game and generalized Nash game is proposed. After integrating dynamic average consensus algorithm and distributed projection neural network through singular perturbation systems, a normalized Nash equilibrium seeking algorithm is presented to solve the proposed power allocation problem in a distributed way. Combine Lyapunov stability with the singular perturbation analysis, the convergence of the proposed algorithm is analyzed. A simulation on IEEE 118-bus confirms that the proposed distributed algorithm can adjust the power allocation according to different situations, while keeping the optimal solution within the feasible set.
引用
收藏
页码：341 / 352
页数：12
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