Optimal Power Flow Based on Modified Genetic Algorithm

Cost minimization is one of the main goals in electric market so economic dispatch and load allocating, named as optimal power flow (OPF), are more interesting concerns. In this paper a Modified Genetic Algorithm (MGA) is presented for the solution of the OPF. The control variables are unit active power outputs, generator-bus voltages and discrete transformer-tap settings. To overcome the operating constraints such as line flow limits, generator capabilities, and bus voltage amplitude limits, are all included in MGA fitness function. The simulation results have shown the MGA is more efficient and more convergence in compare with other attempts.