Capacitor Allocation in Order to Maximize the Loss Reduction Benefit and Improve the Voltage Profile Based on NSGA-II

For many years, using capacitor as generally was one of the big challenges in electrical industrials. Some of these problems refer to economical and other ones are based on technical limits. Capacitor placement is a challenge that define as the base of capacitors problems, is considered in this paper. In this paper, in order to maximizing the loss reduction benefit and voltage profile improvement simultaneously, considering different percentages of peak load and electricity prices have been studied. Also, a probabilistic load model at each load state is assumed in this paper instead of utilizing time-series based models. Moreover, optimum numbers of capacitors should be used in each load state in order to optimizing the problem. Therefore, it is used non-dominated genetic algorithm version II (NSGA-II) to solve the problems under study. NSGA-II is used for a typical network by considering possibilities. The effectiveness of the proposed scheduling approach verified on IEEE 33-bus distribution test system over the planning period. Here the most important part is modeling the probability of load, which can say the load's behavior is most of the time follow that.