Chaotic based PSO with time-varying acceleration coefficients for security constrained optimal power flow problem

摘要

This paper proposes a chaotic based particle swarm optimization with time-varying acceleration coefficients (CPSO-TV AC) for solving security constrained optimal power flow (OPF) problem. The proposed CPSO-TVAC is an improved PSO mixing chaotic sequences and crossover operation to enhance the search ability to the global optimum solution. The proposed CPSO-TVAC based optimal power flow is used to minimize the total generation fuel cost satisfying power balance flow equations, real and reactive power generation limits, generator bus voltage limits, tap setting transformer limits, and security voltage and transmission line loading constraints. Test results on the IEEE 30-bus and 118-bus systems indicate that the proposed CPSO-TVAC method renders a lower total generation cost in a faster convergence rate than other heuristic methods, which is favorable for online implementation.