Multiagent Immune Evolutionary Programming Based Technique for Power System Loadability Improvement Using ORPP

摘要

This paper presents a new technique termed as Multiagent Immune Evolutionary Programming (MAIEP) optimization technique for optimizing reactive power planning with an objective to improve the loadability margin in a power system. Loadability margin is an issue in power system operation due to the increase in system loading with limited avenues for system reinforcement. This has resulted in a stress condition in power system and hence its operating point is closed to its voltage stability limit. The proposed technique is capable of determining the optimal operating point for the reactive power sources in the system and as a result, the loadability margin for the system is widen. Thus, it ensures the secure operating point of the system with minimum cost. The proposed technique is beneficial to power utility company since it could reduce the operating cost while maintaining the power system to be in stable condition. The MAIEP optimization has the potential to be utilized in other applications and hence for the commercialization.