Voltage stability enhancement and voltage deviation minimization using BAT optimization algorithm

In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic BAT Optimization Algorithm (BOA). BOA is inspired by the echolocation capability of micro-bats. BOA has a fast convergence rate. In order to solve the optimal power flow problem, standard IEEE-30 bus test system is used. BOA is implemented for the solution of proposed problem. The problems considered in the OPF problem are Fuel Cost Reduction, Voltage Deviation Minimization, and Voltage Stability Improvement. The results obtained by BOA is compared with other techniques such as Flower Pollination Algorithm (FPA) and Particle Swarm Optimizer (PSO). Results shows that BOA gives better optimization values as compared with FPA and PSO that confirms the effectiveness of the suggested algorithm.