Comprehensive review of integrated renewable energy systems for decentralized power generation

Abstract

Integrated Renewable Energy Systems (IRES) are important for controlling environmental sustainability and energy accessibility, particularly in dispersed and decentralized areas. The systems combine advanced energy storage technology, intelligent energy management systems, and easily accessible renewable resources such as wind, solar, hydropower, and biomass to deliver effective and dependable power generation. IRES offers a consistent and reliable energy supply in places with slight or no connection to centralized power grids by addressing the disadvantages of single-source energy from renewable sources systems. To improve system dependability, the integration of various renewable sources reduces reliance on centralized infrastructure and fossil fuels, thus fostering cleaner and additional egalitarian energy solutions. The assessment highlights how IRES aids close the gap between areas with abundant energy and those with limited energy, therefore promoting energy democratization. The research additionally examines the latest developments in smart grid technology, which have significantly increased distributed energy systems' operational efficiency and adaptability. The analysis's key finding is that emerging technologies, especially machine learning (ML) and deep learning (DL), have the potential to create IRES. The technologies enhance IRES's responsiveness and intelligence by enabling real-time system control, accurate load forecasting, predictive maintenance, and resource allocation. Improved decision-making and higher resilience in adjustable energy conditions are made possible by ML and DL. A significant step toward a sustainable, low-carbon energy future is IRES, which is supported by intelligent algorithms. Their advancement and implementation are critical to summit global energy targets, strengthening grid resilience, and guaranteeing universal access to clean, affordable, and sustainable power.