Evolutionary game theoretic demand-side management and control for a class of networked smart grid

被引：65
|
作者：
Zhu, Bing [1 ,2 ]
Xia, Xiaohua [1 ]
Wu, Zhou [1 ,3 ]
机构：
[1] Univ Pretoria, Dept Elect Elect & Comp Engn, ZA-0028 Pretoria, South Africa
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[3] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China
来源：
AUTOMATICA | 2016年 / 70卷
关键词：
Demand-side management; Game theory; Semi-tensor product; Optimal control; Binary decision systems; OPTIMIZATION; DISPATCH;
D O I：
10.1016/j.automatica.2016.03.027
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a new demand-side management problem of networked smart grid is formulated and solved based on evolutionary game theory. The objective is to minimize the overall cost of the smart grid, where individual communities can switch between grid power and local power according to strategies of their neighbors. The distinctive feature of the proposed formulation is that, a small portion of the communities are cooperative, while others pursue their own benefits. This formulation can be categorized as control networked evolutionary game, which can be solved systematically by using semi-tensor product. A new binary optimal control algorithm is applied to optimize transient performances of the networked evolutionary game. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：94 / 100
页数：7
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