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In this paper, an artificial bee's colony (ABC) algorithm based neuro fuzzy controller (NFC) will be proposed for improving the performance of UPQC. Here, the error and change of error voltage of the system is to be applied to the neural network. The output of the neural network optimized by ABC algorithm and the network output is enhanced. By the optimized output, the optimal fuzzy rules are generated and the discharging capacitor voltage is calculated from the bias voltage generator. The proposed technique is implemented in MATLAB working platform and the performance is evaluated with voltage sag power quality problem. The power quality compensating performance of the proposed method is compared (ABC-NFC) with ANFIS, ANN, FLC and NFC. Then, the RMS voltage of proposed method is evaluated after solving PQ problem.

ABC and NFC based unified power quality conditioner for compensating power quality problem