Optimal power flow using Moth Swarm Algorithm with Gravitational Search Algorithm considering wind power

One of the major problems to be solved in power systems is Optimum Power Flow. Presently, in order to fulfill the power demand and make cost effective power supply, it is forced to use the renewable energy resources as an alternative energy sources. Various existing research studies utilized different artificial intelligence and metaheuristic approaches for solving OPF problems in power system. But, in this paper it is aimed to provide a hybrid approach MSA-GSA by integrating Moth Swarm Algorithm (MSA) and Gravitational Search Algorithm (GSA) for power systems with Wind energy sources. To do this, the WDF (Weibull Distribution Function) is used for demonstrating the alternating nature of wind farm. The test cases, with and without wind power are considered for solving the objective functions of deteriorating the Fuel cost for reduced power loss. Finally, the simulation results are tested with IEEE 30-bus, IEEE 57 bus and IEEE 118 bus with and without wind power. The proposed MSA-GSA algorithm offers better results when associated with the existing procedures (C) 2019 Elsevier B.V. All rights reserved.