Reactive Power Optimization Based on Multi-agent System with Markov Game Theory
Weibao Zhang, Zhongfeng Gao
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.155How to use a DOI?
- markov game;muti-agent; power systems reactive power optimization
- 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.
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 - 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 - https://doi.org/10.2991/mce-14.2014.155 ID - Zhang2014/03 ER -