A Multi-Agent Approach for Enhancing Transient Stability of Smart Grids with Renewable Energy

This paper presents the use of an intelligent multiagent system (MAS) approach to investigate the effect of a sudden change in generator load and the impact of integrating renewable energy sources (RESs) on the enhancement of the transient stability of smart power grids. In this proposed approach, an algorithm is developed through which intelligent agents properly coordinate a system's protective relays using the critical clearing time (CCT) information to avoid loss of synchronism. An IEEE 14-bus test system is used to dynamically evaluate the online performance and effectiveness of the proposed approach. The simulation results show that the individual agents provide a powerful framework to successfully enhance the transient stability of the system for different fault locations under various generator load conditions and increasing penetration of wind power.