Interactive artificial ecosystem algorithm for solving power management optimizations

Introduction. Power planning and management of practical power systems considering the integration coordination various FACTS devices is a vital research area. Recently, several metaheuristic methods have been developed applied to solve optimization problems. Among these methods, an artificial ecosystem based has successfully proposed industrial The novelty work consists in creating interactive process search between diversification intensification within standard optimization. concept introduced variant on dynamic interaction production operator consumer during process. Purpose. This paper introduces with accuracy multi objective Methods. solution problem was carried out using MATLAB program package combining method flow tool Newton-Raphson algorithm. Results. Obtained results confirmed that optimizer may be suitable individually simultaneously functions such as total fuel cost, losses voltage deviation. Practical value. efficiency terms quality convergence behavior validated two electric test systems: IEEE-30-bus, IEEE-57-bus. A statistical comparative study critical review elaborated intensively compared recent techniques confirm competitive aspect particularity solving functions.