Reconfiguration of Radial Distribution Systems with Fuzzy Multi-Objective Approach Using Modified Big Bang-Big Crunch Algorithm

This paper presents an efficient method for the multi-objective reconfiguration of distribution networks in fuzzy framework using modified Big Bang-Big Crunch algorithm. The considered objectives are minimization of network real power, minimization of the deviation of nodes voltage, minimization of the branch current constraint violation and minimization of switching operations number. All the objectives are fuzzified with trapezoidal membership function and the max-geometric mean operator is applied to determine the best compromising solution among the four objectives. The 33-bus and 69-bus distribution networks are used to demonstrate effectiveness of the proposed method. The obtained results show that proposed method is powerful and promising for reconfiguration of multi-objective distribution systems.