Voltage Stability Enhancement and Voltage Deviation Minimization Using Multi-Verse Optimizer 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 optimization technique Multi-Verse Optimizer (MVO). The main inspirations of this algorithm are based on three concepts in cosmology: white hole, black hole, and wormhole. MVO has a fast convergence rate. In order to solve the optimal power flow problem, standard IEEE-30 bus test system is used. MVO algorithm 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 MVO is compared with other techniques such as Flower Pollination Algorithm (FPA) and Particle Swarm Optimizer (PSO). Results show that Multi-Verse Optimizer gives better optimization values as compared with FPA and PSO that confirms the effectiveness of the suggested algorithm.