Wind, PV Solar, Hydro and Hybrid Energy Storage System-Based Intelligent Adaptive Control for Standalone Distributed Generation System

Abstract

With an isolated asynchronous generator (IAG), wind turbines or micro-hydro turbines power a self-contained distributed generating system. This system may be used independently or connected to the grid. Agritech is designed for use in remote areas without grid access. Fossil fuel depletion and environmental deterioration have impeded the power industry's development. Determining new energy sources and transforming energy production strategies is so critical. It will theoretically facilitate the world's largest single complementary demonstration project and test a massive multi-energy complementary system. These hybrid systems are made up of renewable energy and energy storage. Renewable energy is unknown. Thus supply sustainability and reliability are essential objectives. As a result, it reacts quicker than diesel generators and micro-turbines, reducing unpredictability. The battery may be utilized to keep things running when the power is turned out—Battery-super capacitor hybrid energy storage system with a centralized advanced neutral-fault-injection-switching (ANFIS) controller (SC). The battery's lifespan may be increased by increasing the amount of energy consumed over a longer period of time while simultaneously reducing the amount of stress placed on the battery. In this work, an individual implementation of P&O is used to calculate the MPOP for wind and solar PV arrays. Energy Storage System (ESS) adjusts the frequency of the stand-alone hybrid system using an adaptive neuro-fuzzy inference system (ANFIS) controller. All the necessary analysis, modelling, design work, and a simulated implementation in MATLAB for the suggested setup and control structure are included.