Reactive Power Optimization Based on Multi-agent System with Markov Game Theory

DOI

10.2991/mce-14.2014.155How to use a DOI?

Keywords

markov game;muti-agent; power systems reactive power optimization

Abstract

This paper presents a distributed and reactive power optimization system based on Muti-Agent System framework. The various component and functions of monomer Agent are displayed in the optimization system. The collaboration and coordination between the Agent are achieved by information sharing through the communication. The dynamic contract net protocol which doped by three mental state performance parameters contains Agent, trust nodes, familiarity and integration introduced into the collaborative approach of Muti-Agent. The optimization process of lower voltage and reactive power are described based on the Dynamic contract net protocol under the smart grid environment. The Muti-Agent learning algorithm is proposed according to the influence of the chosen Q value based on Markov game framework. The Reactive Agent-based design optimization process, management system architecture design, simulation protocol design are illustrated combined with Agent combines technical features and smart distribution network reactive power compensation behavioral characteristics.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Weibao Zhang
AU  - Zhongfeng Gao
PY  - 2014/03
DA  - 2014/03
TI  - Reactive Power Optimization Based on Multi-agent System with Markov Game Theory
BT  - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 691
EP  - 694
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.155
DO  - 10.2991/mce-14.2014.155
ID  - Zhang2014/03
ER  -