Shunt Active Power Filter Based on Synchronous Reference Frame Theory Connected to SPV for Power Quality Enrichment

As the use of non-linear loads and power electronics (PE) devices are increasing in recent years, the total harmonic distortions and the power quality problems were increased tremendously. Shunt active power filters (SAPF) are proposed for refinement/ enrichment in power quality and reliability of power delivery system. Solar photovoltaic (SPV) system is designed as a renewable energy resource and power electronics converters are used for the interconnection and energy conversion with the grid. The incremental conductance algorithm (Inc) technique is incorporated bring out peak/maximum power from the solar photovoltaic system. The shunt connected compensator is used for current harmonics elimination, balancing and regulation of load terminal voltage and power factor correction. An artificial neural network (ANN) as an artificial intelligence is used for SAPF as a control algorithm for the improvement in the performance of SPV-SAPF, a synchronous reference frame (SRF) based control method has been introduced for generation of switching pulses. The proposed system is implemented in Matlab/Simulink environment and the simulation results are shown in terms of total harmonic distortion (THD) comparison with PI and ANN based techniques.