Composite energy storage interconnected microgrid optimization
Abstract: In order to optimise the coordinated control of micro-grid complex energy storage including photovoltaic and wind power, improve the absorption ability of distributed energy generation and reduce the cost, this paper proposes a Double Deep Q-Network reinforcement learning algorithm to train agents to interact with the microgrid environment and learn the optimal scheduling control mechanism. [pdf]
Energy storage system integration research and development
This comprehensive paper, based on political, economic, sociocultural, and technological analysis, investigates the transition toward electricity systems with a large capacity for renewable energy sources combined with energy storage systems (ESS), along with a comprehensive overview of energy storage technologies; the role of AI in the development of ESS is also presented. [pdf]
Energy Storage Battery Cabinet Seismic Analysis Base Station
This paper mainly describes the overall design and theoretical thermal calculation of the battery compartment of the energy storage system, and carries out static load calibration and seismic systematic research by using ANSYS analysis software, which verifies the reliability of the whole system in the national standard 7- degree seismic intensity, and the results of the research provide a safe basis for the actual operation of the project. [pdf]
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