Modified Invasive Weed Optimization Approach based MPPT of SPV for SRM Driven Industrial Water Supply System
Dharmendra Kumar Singh, Rabah Ismail, Hashem Al–Mattarneh, Krishna Chaithanya Janapati, Pareshwar Prasad, N. Mohana Sundaram, Siva Ganesh Malla
Abstract
Water Supply Systems (WSSs) are essential in various industries for performing numerous functions. These systems often impose considerable demands on the main electrical grid because of their substantial energy requirements. Implementing a standalone Photovoltaic (PV) powered WSS can be a most effective solution for reducing the strain on the power grid.A motor powered by electricity is necessary to operate the mechanical pumps that can bring water from one location to other. Switched reluctance motor (SRM) is gaining attention from numerous researchers for its many benefits, making it a popular choice for WSS applications.In this study, an 8/6 pole SRM is analyzed for its ability to generate the necessary maximum torque to lift water from a significant depth in the ground.Nevertheless, the utilization of batteries in WSS will result in a higher overall cost and necessitate regular maintenance, such as replacements, due to the shorter lifespan of batteries in comparison to PV Systems. A wind energy system that utilizes PV energy and functions without a battery has been created in this research, incorporating a sliding mode control approach for speed sensorless DTC.The Modified Invasive Weed Optimization (MIWO) method has been integrated with the Perturbed and Observed (P&O) algorithm to enhance energy extraction from PV modules in both standard and partially shaded environments.The Hybrid MIWO-P&O mechanism has been integrated into a boost converter to enhance the efficiency of maximum power tracking.The article presents a comprehensive analysis of the significant outcomes obtained from utilizing the MATLAB/Simulink platform across various scenarios to assess the effectiveness of the proposed model.