Multiobjective optimal power flow using a fuzzy based grenade explosion method

The aim of this paper is to solve the multiobjective optimal power flow (MOPF) problem using a new metaheuristic that is the grenade explosion method. The MOPF problem is formulated by assuming that the decision maker may have a fuzzy goal for each of the objective functions. Six objectives are considered which are: the minimization of generation fuel cost, the improvement of voltage profile, the enhancement of voltage stability, the reduction of emission and the minimization of active and reactive transmission losses. The proposed approach has been tested on the IEEE 30-bus test system. The obtained results show the effectiveness of the proposed method.