DIFFERENTIAL EVOLUTIONARY ALGORITHM FOR ALLOCATION OF SVC IN A POWER SYSTEM

This paper investigates the ability of different strategies of Differential Evolutionary (DE) Algorithm in dealing with optimal placement of Static VAR Compensator (SVC) in a power system. The primary function of an SVC is to improve transmission system voltage, thereby enhancing the maximum power transfer limit. To enhance voltage stability, the planning problem is formulated as a multi-objective optimization problem for maximizing fuzzy performance indices. Two different scenarios are used when DE is applied. The performances of DE with two different scenarios and different strategies are compared in terms of their success rate. To validate the results, Real Genetic Algorithm (RGA) is applied and compared with DE.