Optimal power flow with voltage stability improvement and loss reduction in power system using Moth-Flame Optimizer

In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel metaheuristic optimization algorithm Moth-Flame Optimizer (MFO). The MFO is inspired by the navigation strategy of moths in universe. MFO has a fast convergence rate due to the use of roulette wheel selection method. For the OPF solution, standard IEEE-30 bus test system is used. MFO is applied to solve the proposed problem. The problems considered in the OPF are fuel cost reduction, voltage profile improvement, voltage stability enhancement, active power loss minimization and reactive power loss minimization. The results obtained by MFO are compared with other techniques such as Flower Pollination Algorithm (FPA) and particle swarm optimizer (PSO). Results show that MFO gives better optimization values as compared with FPA and PSO which verifies the effectiveness of the suggested algorithm.