Multi-Agent System for Control and Management of Distributed Power Systems

Abstract

This dissertation proposes a potential decentralized control and energy management architecture based on intelligent multi-agent system for the operation of modern distributed power systems. A multi-agent simulation platform was developed for distributed power systems based on IEEE FIPA standards in JADE. In order to evaluate the effectiveness of the proposed multi-agent system, several simulation studies on distributed power systems with microgrids and integrated microgrids operating in different types of environments were carried out. Several algorithms were developed and implemented on the multi-agent system for optimizing the functions of control and management. In addition, real-time simulation studies were carried out on the multi-agent system with a RTDS. The outcome of the various simulation studies show that the developed multi-agent system handles the interaction among the control entities in the distributed power systems and makes some decisions locally to provide more reliable electricity supply to customers.