Optimal active and Reactive Power dispatch problem solution using Moth-Flame Optimizer algorithm

Abstract

In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic optimisation algorithm Moth-Flame Optimizer (MFO). MFO is inspired by the navigation strategy of Moths in universe. MFO has a fast convergence rate due to use of roulette wheel selection method. In order to resolve the optimal power flow problem, standard IEEE-30 bus system is used. MFO is implemented for the solution of proposed problem. The problems considered in the OPF problem are Fuel Cost Reduction, Active Power Loss Minimization, and Reactive Power Loss Minimization. The results obtained by MFO is compared with other techniques such as Flower Pollination Algorithm (FPA) and Particle Swarm Optimizer (PSO). Results shows that MFO gives better optimisation values as compared with FPA and PSO that confirms the effectiveness of the suggested algorithm.