Microgrid Energy Management System Optimization using Game Theory

被引：0

作者：

Montes-Parra, Mayerli ^{[1
]}

Garcia-Hernandez, Juan ^{[1
]}

Gordillo-Sierra, Juan ^{[1
]}

Jimenez-Estevez, Guillermo ^{[1
,2
]}

Mendoza-Araya, Patricio ^{[3
]}

机构：

[1] Univ Los Andes, Dept Elect & Elect Engn, Bogota, Colombia

[2] Univ Chile, Energy Ctr, FCFM, Santiago 8370451, Chile

[3] Univ Chile, Dept Elect Engn, Santiago, Chile

来源：

2019 IEEE CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (CHILECON) | 2019年

关键词：

Energy management; Game theory; Microgrid; Nash equilibrium;

D O I：

10.1109/chilecon47746.2019.8987607

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an interactive algorithm based on game theory for optimizing an energy management system (EMS) of a microgrid. As agents in game, load, storage and energy resources adopt an individual strategy and through a potential game, they are able to reach a Nash Equilibrium. Results show energy dispatch for four different agents conditions, including exclusion of one of the energy sources to emulate plug and play behavior. Availability and ease to change parameters for agents in proposed algorithm allows users tune it for several different conditions, achieving a useful tool for energy management in a microgrid.

引用

页数：7

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