Title : Q-Learning based Cooperative Multi-Agent System Applied to Coordination of Overcurrent Relays ( Q-Learning Based Cooperative Multi-Agent System Applied to Coordination of Overcurrent Relays )
Authors: Javad Sadeh , ,
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Abstract
In this study, a new method for optimum coordination of overcurrent relays is proposed. In order to solve the overcurrent relays coordination problem, a Q-learning based cooperative multi-agent system is designed and applied. In the proposed method, each relay based on the Q-learning algorithm can act as an autonomous adaptive intelligent agent to find the desirable setting according to each power system configuration. In addition, by injecting the cooperation concept in the reward function of the Q-learning algorithm, all relays cooperate each other to minimize the overall operating time of protection system, while, they satisfy the coordination constraints. The efficiency of the suggested technique is illustrated by applying the method for coordination of overcurrent relays in a typical power system.
Keywords
, Overcurrent relay coordination, Reinforcement learning, Cooperative multi-agent system, Q-Learning algorithm
@article{paperid:1004314,
author = {Sadeh, Javad and , },
title = {Q-Learning based Cooperative Multi-Agent System Applied to Coordination of Overcurrent Relays},
journal = {Journal of Applied Sciences},
year = {2008},
volume = {8},
number = {21},
month = {October},
issn = {1812-5654},
pages = {3924--3930},
numpages = {6},
keywords = {Overcurrent relay coordination; Reinforcement learning; Cooperative multi-agent system; Q-Learning algorithm},
}
%0 Journal Article
%T Q-Learning based Cooperative Multi-Agent System Applied to Coordination of Overcurrent Relays
%A Sadeh, Javad
%A ,
%J Journal of Applied Sciences
%@ 1812-5654
%D 2008
