DESIGN AND ANALYSIS OF PV BASED DVR USING CONVENTIONAL AND ARTIFICIAL INTELLIGENT TECHNIQUE BASED CONTROLLERS
The rapid technological development all around the world roots huge demand for power. This in turn leads to increased utilization of fossil fuels for power generation. Hence, global warming becomes high and in turn affects the environmental condition. So now a days, a numerous Renewable Energy Sources (RES) such as Solar, Biomass, wind etc., comes into existence. Among the various Renewable Energy Sources (RES), solar energy plays a vital role in power generation. While instigating this solar energy into a grid, various power quality complications such as voltage sag, voltage flicker, transient and harmonics occurs. Hence in order to overcome these complications, Dynamic Voltage Restorer (DVR) affords a best solution. Henceforth, this work proposes a Multi-level inverter based DVR system for enhancement of power quality. Apart from this, it also investigates the performance of the proposed DVR with both conventional and artificial intelligent controller. It implements a PSO based MPPT technique to track maximum power from the solar system. From the results, it is concluded that the proposed DVR with neural controller provides the best results and the Total Harmonic Distortion (THD) of the proposed technique odeys the IEEE standards.
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