Optimal Location and Sizing of Hybrid Power Flow Controller Using Chaotic Evolutionary Algorithm to Enhance Power System Stability

In this paper, a new methodology based on optimal location and sizing of the Hybrid Power Flow Controller (HPFC) is proposed to improve voltage security and active power losses in the transmission system. Using this proposed method, the location of HPFC can be easily identified by using Chaotic evolutionary algorithm (CEA) instead of Genetic algorithm(GA) in existing method, it contain many iteration process but the presents of new GA based on chaotic systems to overcome this shortcoming. Employing the logistic map and tent map, the two chaotic systems to generate chaotic values instead of the random values in GA processes. The diversity of the Chaos Evolutionary Algorithm (CEA) avoids local convergence more often than the traditional GA. The numerical results show that the proposed method decreases the number of iterations in optimization problems and significantly improves the performance of the basic GA. The proposed approaches have been implemented on the bus test system and significant results show the effectiveness of it