Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

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

Authors
Weibao Zhang, Zhongfeng Gao
Corresponding Author
Weibao Zhang
Available Online March 2014.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-31-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mce-14.2014.155How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
PB  - Atlantis Press
SP  - 691
EP  - 694
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.155
DO  - https://doi.org/10.2991/mce-14.2014.155
ID  - Zhang2014/03
ER  -