Game-theoretic demand-side management and closed-loop control for a class of networked smart grid

被引：5

作者：

Zhu, Bing ^{[1
,2
]}

Xia, Kewei ^{[1
,2
]}

Xia, Xiaohua ^{[3
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Res Div 7, Beijing 100191, Peoples R China

[2] Beihang Univ, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China

[3] Univ Pretoria, Dept Elect Elect & Comp Engn, ZA-0028 Pretoria, South Africa

来源：

IET CONTROL THEORY AND APPLICATIONS | 2017年 / 11卷 / 13期

关键词：

game theory; demand side management; evolutionary computation; closed loop systems; smart power grids; robust control; game-theoretic demand-side management; networked smart grid; evolutionary game; structural matrix; closed-loop feedback control; Nash equilibrium; CONTROLLABILITY; GENERATION; DISPATCH; STORAGE;

D O I：

10.1049/iet-cta.2016.1606

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new systematic scheme is proposed for demand-side management and control of a class of networked smart grid. The networked smart grid is modelled into an evolutionary game, and the theory of semi-tensor product is applied to analyse its dynamic behaviours. By using a newly defined stacked form of structural matrix, a closed-loop feedback control is designed to shape the structural matrix of the evolutionary game, such that the Nash equilibrium (with respect to minimum total cost) can be reached and maintained. Based on the proposed feedback control, a robust control can be designed for the smart grid to reach the Nash equilibrium in case of model uncertainties resulted from fake behaviours of some users. Examples are provided to illustrate the theoretical results.

引用

页码：2170 / 2176

页数：7