Cost-effective optimal allocation and sizing of active power filters using a new fuzzy-MABICA method

This article presents a new approach for cos-effective optimal allocation and sizing of active power filters (APFs) in distribution systems. In the proposed method, first, the most suitable locations and initial sizing of APFs are determined using the fuzzy logic. Then, the cost-effective optimal allocation and sizing of APFs using a new modified adaptive binary imperialist competitive algorithm (MABICA) are determined. In the proposed fuzzy model, the harmonic voltages of buses and the injecting harmonic currents into the buses are considered as decision variables. In this paper, the fixed cost for optimal allocation and sizing of active power filters has been considered that gives a better result from the economical point of view. For evaluating the proposed method, it is applied to an 18-bus test system and a 33-bus test system. The effectiveness of the proposed method is compared with the previous literature in this area.