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POWER QUALITY IMPROVEMENT WITH HYBRID POWER FILTERS USING SOFT COMPUTING TECHNIQUES
(UMT, Lahore, 2024) Ayesha Ali
The proliferation of electronic device usage in every field is deteriorating the system's Power Quality, causing both energy and economic losses. The motivation of this work rises from the scarcity of harmonic mitigation techniques to improve the power quality in local industries in Pakistan. Three harmonic elimination topologies are Passive Filters, Active Filters and Hybrid Filters. Hybrid filters bring the best of both passive and active filters together. The research work intends to implement a Shunt Hybrid Active Power Filter (SHAPF) with improvised control techniques to improve power quality indices. The optimized technique like an Artificial Neural Network (ANN), Gated Recurrent Unit, and Long Short-Term Memory network are implemented on MATLAB/Simulink to optimize the SHAPF performance. The novelty of the work is the implementation of deep learning methods to address problems with power quality.