Study and simulation of Intelligent and Conventional MPPT Algorithms for Hybrid System

Abstract

Renewable Energy Resources (RES) research has expanded dramatically over the last decade as a result of constraints on conventional energy sources such as high power costs, environmental pollution, and increased maintenance requirements. Renewable alternatives—such as solar, wind, hydro, fuel cells, and biomass—provide clean, sustainable, and widely available options, with solar and wind being particularly numerous. This article analyzes the viability of a hybrid renewable power generating system that combines solar energy, a fuel-based system, and a battery backup. Since solar energy generation changes with weather conditions, the hybrid arrangement improves system dependability and efficiency under different environmental circumstances. To improve performance, a P&O maximum power point tracking (MPPT) controller is used. By adaptively altering the duty cycle of the input module, the controller allows the system to continually function at its maximum power point. Simulation findings show that the suggested fuzzy method improves efficiency and operational stability, emphasizing its value as a sustainable power-generating solution.