Multi-Immune-Agent Based Power Quality Monitoring Method for Electrified Railway

Abstract

In view of the fact that existing power quality monitoring system can’t satisfy increasing demands such as wide-area large-scale far-reaching distributions of monitoring points of electrified railway as well as uncertainties of environmental varieties such as loads change in point of common coupling (PCC), traditional power quality monitoring methods for electrified railway are difficult to adapt it well. Based on it, combining autonomous decentralized systems (ADS), artificial immune systems (AIS) and multi-agent (MA) technology, in this paper a novel power quality monitoring method for electrified railway called cooperative multi-immune-agent system is proposed. It not only can be used to monitor the distributed process state in real time and diagnose faults in advance, but also can improve the operational condition of power system and enhance the efficiency of power supply, and is a new approach for distributed artificial intelligence (DAI). The study shows cooperative multi-immune-agent system is a quite incompact self-organizing system, more flexible and robust and updated locally, quite suitable to solve indeterminate problems under dynamic environment.