BACTERIAL FORAGING-BASED ALGORITHM OPTIMIZATION BASED ON FUZZY MULTI-OBJECTIVE TECHNIQUE FOR OPTIMAL POWER FLOW DISPATCH

This paper presents a multi-objective bacterial foraging-based algorithm (BFA) to solve the optimal power flow (OPF) problem. OPF problem has been treated as a multi-objective constrained optimization problem. In this paper Different objective functions have been considered in the problem formulation, which are fuel emission, power losses, voltage deviation and generation cost considering valve effect while there are both continuous and discrete control variables included in the objective functions. To handle the multi objective optimization problem, fuzzy strategy is embedded into the optimization algorithm. This tragedy has many advantages like eliminating the problem of choosing the penalty factors for constraints and behaves them just like objective functions. Other evolutionary algorithm which is considered for comparison is conventional particle swarm optimization (CPSO). Simulation results on IEEE-30 bus test system show the effectiveness of the proposed approach in solving multi-objective OPF. .