Transmission Congestion Management Using Bacterial Foraging- Particle Swarm Optimization

This paper proposes an optimal congestion management approach in a deregulated electricity market using Bacterial foraging particle swarm optimization (BFPSO). The aim of the proposed work is to minimize deviations from preferred transaction schedules and hence the congestion cost. Generator reactive power support is considered to lower the congestion cost. The values of Transmission Congestion Distribution factors (TCDFs) are used to select redispatch generators. Numerical results on test systems namely IEEE 30 bus and IEEE 118 bus systems are presented for illustration purpose and the results are compared with Particle swarm optimization (PSO) in terms of solution quality. The comprehensive experimental results prove that the BFPSO is one among the challenging optimization methods which is indeed capable of obtaining higher quality solutions for the proposed problem.