International Journal of Engineering and Technology

In this paper the Bat-Inspired algorithm based hybrid approach, for solving optimum power flow problem in a power system with IPFC, is explained. Here, the bat algorithm develops the different types of generator candidate solutions based on the power balance condition. By using the generator combinations, fuel cost and emission dispatch has been evaluated. From the evaluation results, the most suitable generator candidate solutions are identified. So the fuel cost, emission dispatch and power loss are maintained economically. Then the real power limits of the generators are given as the input of the Artificial Neural Network (ANN). It is trained with the output target which is IPFC injected voltage magnitude and voltage angle. The optimal placement of IPFC depends on the power flow deviation and the combination of the power system buses. Finally the proposed method is applied in the MATLAB/simulink platform and the performance is evaluated by using the comparison at ABC_ANN based OPF with UPFC. The comparison results demonstrate the superiority of the proposed approach and confirm its potential to solve the problem.