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Optimization algorithm on simulating the fisher fishing (SFOA) is a novel optimization algorithm, it was presented based on simulating the behavior and habit of fisher's fishing. By the algorithm, and algorithm for solving the power system SFOA multi-objective reactive power optimization(ORP) problem. The model of ORP included line loss and average voltage offset as optimal target, and the method that can transform target function to constraint based on user reference region was proposed. ORP was optimization problem with multi-variable, and optimization speed of SFOA would be exposed to restrict. So the method that randomly initialized in the their cube was adopted, which could simply moving search and shrinking search in the cube and improve searching speed. The simulation results for IEEE-30 nodes and IEEE-57 nodes system showed that SFOA had global search performance and steady convergence rates, which could improve the economics and safety of power system effectively

Application of Optimization Algorithm on Simulating the Fisher Fishing in Multi-objective Optimal Reactive Power