Hybrid Renewable Energy Systems and Their Optimization in Smart Grids

Abstract

The growing adoption of hybrid renewable energy systems (HRES) necessitates advanced optimization strategies to ensure efficiency, reliability, and sustainability in modern power grids. The integration of multi-technology energy storage solutions plays a crucial role in mitigating the intermittent nature of renewable energy sources, enhancing grid stability, and enabling real-time energy management. This book chapter explores the role of hybrid energy storage systems in optimizing renewable energy utilization through intelligent control mechanisms, predictive analytics, and decentralized energy management frameworks. The convergence of artificial intelligence (AI), blockchain, and multi-objective optimization techniques facilitates adaptive decision-making, efficient power distribution, and enhanced energy security. Decentralized energy storage networks and AI-driven demand-side optimization strategies improve grid resilience while minimizing transmission losses. Challenges related to storage system interoperability, economic feasibility, and large-scale implementation are critically analyzed, along with potential solutions leveraging emerging technologies. By addressing these key aspects, this chapter provides a comprehensive foundation for optimizing hybrid renewable energy systems in the evolving landscape of smart grids.

Keywords

Identifiers

DOI

10.71443/9789349552517-15

Journal

Solar Energy Systems and Smart Electrical Grids for Sustainable Renewable Energy

Year

2025