Modeling and Design of Adaptive Sliding Mode Controller for Maximum Power Point Tracking and Optimization of Solar Powered Pumping System:- Case Study of Melkadida Irrigation

Abstract

Maximum power point tracking (MPPT) plays an important role in photovoltaic systems. This thesis presents a maximum power point tracker using an adaptive sliding mode controller for a Photovoltaic irrigation water pumping system. It optimizes the power output from a Photovoltaics system for a given set of environmental and weather conditions. This work focused on the design and modeling of a solar-powered water pumping system that aims to reduce the running cost of diesel generators and to get the maximum amount of power from PV for the existing 45-hectare agricultural Melkadida irrigation. The proposed system incorporates a photovoltaic (PV) array with a boost converter, inverter, and filter to feed an existing 30kw AC pump. Maximum output power to power the load is achieved using the MPPT adaptive sliding mode controller. Based on an adaptive sliding mode controller, MPPT is resistant to environmental changes such as temperature, radiation, and parameter changes and has reduced chattering. To demonstrate that the proposed approach can be effectively implemented, the performance of the controller was tested through simulation. Simulation results showed that the output efficiency of the P&O MPPT PV water pump system was 95.4%, 97.23% for the SMC-MPPT, and 98.48% for the ASMC-MPPT. It's all about the stability and reliability of the controller.