Abstract
Uninterrupted power supply delivered to the customers, maintaining power factor, frequency and voltage within permissible limits with good shape close to ideal format, is the highest priority for power engineers. Some power quality issues like sag/swell and harmonics depreciate the standard of the power distribution network and power quality enhancement in power distribution system increases the performance efficiency and life of the equipment. The little enhancement in voltage and current quality makes a significant increase in the performance and life of the equipment. One FACTS controllers like UPQC delivers a solution to nullify the power quality issues and this paper presents a multi-level UPQC for power quality augmentation. The proposed control scheme uses a multi-layer perceptron neural network and weights are updated by the fuzzy logic to generate a reference signal. Control of UPQC makes power quality issues to be resolved effectively under fault conditions and this paper presents the comparative analysis of PI, fuzzy-controlled UPQC with hybrid fuzzy-multi-layer perceptron network (MLPN)-based control scheme for power quality improvement using MATLAB/SIMULINK software. The obtained results proved that fuzzy-MLPN UPQC compensated voltage sag/swell, harmonics, unsymmetrical LG and LLG faults voltage and current imbalance in the power distribution system.
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