OPTIMAL CONGEST MANAGEMENT BASED VEPSO ON ELECTRICITY MARKET

In this paper, optimal Congest Management (CM) problem by the Vector Evaluated Particle Swarm Optimization (VEPSO) in the deregulated electricity market is present. The CM problem is formulated as an optimization problem according to the generator sensitivity by objective function to minimizing redispatch cost which is solved by the VEPSO technique that has a strong ability to find the most optimistic results. In the proposed VEPSO technique, generators are choosing based on their sensitivity for efficient utilization on line congested. The task of optimal rescheduling active powers of participating generators to reduce transmission line congestion is attempted by VEPSO. The proposed algorithm applied on different test standard power system. The effectiveness of the proposed method is compared with CPSO, PSO-TVAC and PSO-TVIW. Results showed the efficiency of the proposed algorithm.