Integration of energy storage system and renewable energy sources based on artificial intelligence: An overview. (August 2021)

• Record Type: Journal Article
• Authors: Abdalla, Ahmed N.; Nazir, Muhammad Shahzad; Tao, Hai; Cao, Suqun; Ji, Rendong; Jiang, Mingxin; Yao, Liu
• Is Part Of: Journal of energy storage. Volume 40(2021)
• Publication Date: 2021-08
• Subjects: Hybrid energy storage system -- Renewable energy -- Artificial intelligent -- Optimisation and state estimation -- Control strategy; Energy storage -- Periodicals; Energy storage -- Research -- Periodicals; 621.3126
• DOI: 10.1016/j.est.2021.102811
• Languages: English
• ISSNs: 2352-152X

Abstract

Highlights: The characterization and analysis of ESS combined with RES was performed from multiple points of view including energy densities, power consumption, costs, and sizing. ESS characterization was taken from different viewpoints. Comparison of different optimization control technique of integration of RES and ESS. Comparison of different intelligent control technique of integration of RES and ESS. The possible implementation of hybrid ESS for different application. Regarding the existing literature and the gaps identified, potential ESS developments and future trends. Abstract: Energy storage technology plays a role in improving new energy consumption capacities, ensuring the stable and economic operation of power systems, and promoting the widespread application of renewable energy technologies. Several new developments, ideas, approaches, and technologies have been introduced into this area from fields including materials, knowledge manage, electricity, control, and artificial intelligence. Based on the technical characteristics of renewable energy, this study reviews the roles, classifications, design optimisation methods, and applications of energy storage systems in power systems. First, we introduce the different types of energy storage technologies and applications, e.g. for utility-based power generation, transportation, heating, and cooling. Second, we briefly introduce the states of an energy storage system, along with its operation processes and energy storage capacity. Third, a comprehensive review is conducted on artificial intelligence applications in regards to optimisation system configuration, and energy control strategy, along with the applicability of different energy storage technologies. Finally, several issues and insights are discussed, offering new inspiration and concepts for the future study of integrated energy storage systems.