Optimal Power Flow Using A New Evolutionary Approach: Animal Migration Optimization

Abstract

A relatively new technique to solve the optimal power flow (OPF) problem inspired by the animal migration represented as Animal Migration Optimization(AMO) is presented in this paper. The generators active power, the generators voltage, tap settings of the transformers, and capacitive shunt VAR compensating devices, define the search space for the OPF problem. IEEE 57 bus test systems are assessed for various objectives to determine Animal Migration Optimization(AMO) efficiency in handling the OPF problem after satisfying constraints. The numerical simulated results are extensively verified through complete performance measurements with necessary subsequent discussions. The achieved results confirm the effectiveness, flexibility, and applicability of the proposed AMO based OPF methodology in comparisons to other recent competing heuristic-based algorithms in the literature.