Enhanced firefly algorithm for PQ improvement of wind energy conversion system with UPQC

This paper presents enhanced firefly Algorithm (EFA) for improving the control strategy of UPQC with the aid of wind energy conversion system (WECS). The proposed system is connected with the grid/load and their dynamic behavior is determined. The primary objective of the proposed technique is to mitigate the power quality (PQ) issues present in the system. In the proposed method, the performance of FA is updated using the crossover and mutation process. In the non-linear loading condition, the optimal solution is evaluated from the available search space considering the objective function. Initially, the objective function parameters are defined i.e., voltage, real, grid parameters, load parameters real power, reactive power and current respectively. Based on the parameters, the control pulse is produced for series APF and shunt APF. The proposed method minimizes the power loss and voltage instability problem present in the system. The proposed method is implemented using Matlab/Simulink platform and their performances are evaluated and compared with the existing base model and FA techniques.