Industrial Power Quality Enhancement using Fuzzy Logic Based Photovoltaic Integrated with Three Phase Shunt Hybrid Active Filter and Adaptive Controller

Across the globe, solar photovoltaic (PV) sources are treated as the most favorable renewable sources which can fulfill a larger percentage of the total electricity demand with its clean form of energy. But due to its intermittent characteristics, the PV injects lots of uncertainty into the power system. Because of variation in input solar intensity due to climatic conditions, it will impact on the power quality (PQ) issues in power industries. Therefore, in this proposal, a solar PV integrated with shunt hybrid active filter (SHAF) is taken to fulfill the objective of (a) reducing the current harmonics and (b) supplying the active power generated from the PV system. The challenging task in the proposal is to control the PV variables and current control in voltage source inverter (VSI) of the SHAF. Therefore, three-key contributions are made as follows: (a) a control strategy designed which is based on adaptive notch filters (ANF) for reducing the harmonics by generating accurate reference currents; (b) a hysteresis controller is implemented for gating signal pulses; and (c) for maximum power tracking, a fuzzy based maximum power point tracking (MPPT) is developed for the solar tracker. We showed embedded applications of a SHAF for regulating the grid interfaced PV system. Besides, a SHAF operated with the ANF and based on the direct current control (DCC) method is used for computing the compensated current. A comparative analysis has been done between ANF (least mean square (LMS) and recursive least square (RLS) method) and the existing non-adaptive notch filters (NNF). Rigorous computer simulations are performed to determine the effectiveness of the proposed system. The real-time digital simulator using OP 5142 designed with low cost and advanced monitoring capability is employed for validating results.