Certain analysis of mppt algorithms and power quality improvements in grid connected pv systems using adaptive control strategy

Abstract

In the recent years, there is an incredible need to consider the effective utilization of renewable energy sources because of the consumption of petroleum products, which causes natural contamination. The distinctive sort of renewable energy sources are solar, wind, tidal and biomass that are used to generate electricity. Among the renewable energy sources, solar energy becomes the most unique option since it has no pollution, no noise and is freely available. For stand-alone PV systems, batteries are required to store the energy which would expand the cost of the whole framework, thus the majority of the larger power PV frameworks is grid connected. This postulation gives an examination of difficulties and arrangements of grid assoc iated PV integration systems. Voltage, frequency fluctuation and harmonics are real power quality issues for grid-connected systems. To overcome these, gadgets are acquainted into the systems to supply the shortfall control and to deal with transient load demands. To begin with, a novel Ant Colony Optimization (ACO) based Maximum Power Point Tracking (MPPT) technique is presented for solar PV system working under partial shading condition. The proposed PV system is connected on the standalone or grid associated framework. Further, a ighproficiency interleaved DC-DC boost converter with voltage doubler cell and clamped circuit is presented. The proposed third model is adaptive control strategy for the Power Quality (PQ) enhancement of grid connected Photovoltaic (PV) framework. newline