EWOA-OPF: Effective Whale Optimization Algorithm to Solve Optimal Power Flow Problem

The optimal power flow (OPF) is a vital tool for optimizing the control parameters of system by considering desired objective functions subject to constraints. Metaheuristic algorithms have been proven be well-suited solving complex optimization problems. whale algorithm (WOA) one well-regarded metaheuristics that widely used solve different Despite use WOA in fields application as OPF, its effectiveness decreased dimension size test increased. Therefore, this paper, an effective problems (EWOA-OPF) proposed. main goal enhancement improve exploration ability and maintain proper balance between exploitation canonical WOA. In proposed algorithm, movement strategy whales enhanced introducing two new strategies: (1) encircling prey using Levy motion (2) searching Brownian cooperate with bubble-net attacking. To validate EWOA-OPF comparison among six well-known established OPF problem. All are optimize single- multi-objective under Standard IEEE 6-bus, 14-bus, 30-bus, 118-bus systems evaluate comparative problem diverse scale sizes. results proves able better solutions than other algorithms.