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Integration of energy storage system and renewable energy sources based on artificial intelligence: An overview

机译:基于人工智能的能量存储系统和可再生能源的整合:概述

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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.
机译:储能技术在提高新能耗容量方面发挥作用,确保电力系统的稳定和经济运行,促进可再生能源技术的广泛应用。从包括材料,知识管理,电力,控制和人工智能的领域将此区域引入了几种新的开发,想法,方法和技术。本研究基于可再生能源的技术特征,审查了能量存储系统在电力系统中的角色,分类,设计优化方法和应用。首先,我们介绍了不同类型的能量存储技术和应用,例如,用于效用的发电,运输,加热和冷却。其次,我们简要介绍了能量存储系统的状态,以及其运行过程和能量存储容量。第三,关于优化系统配置和能量控制策略的人工智能应用,对各种能量存储技术的适用性进行了全面的审查。最后,讨论了几个问题和见解,为未来的综合储能系统研究提供了新的灵感和概念。

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