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5 June 2024 Contrastive research on peak regulation performance of different types of energy storage resources under multi-station integration scenario
Difei Tang, Yongbo Li, Hailong Jiang, Honghu Cheng, Sheng Wang
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Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131638R (2024) https://doi.org/10.1117/12.3030269
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China
Abstract
Energy storage station is a necessary component of the multi-station integration system, which has multiple functions such as peak regulation and peak-valley arbitrage. In this paper, the peak regulation performance of different types of energy storage resources under multi-station integration scenario is researched. By storing energy when the power grid load is low and output energy when the load is high, the energy storage system can realize peak regulation which can improve the utilization rate of power equipment, reduce resource waste and improve the reliability of the power grid. First, the multi-station integration system model framework is established and the sub-station model is established. Then, different types of energy storage characteristics are introduced, and the multi-station integration system optimal model aimed at economic indicators is established for optimal operation. Finally, the peak regulation characteristics of different types of energy storage are compared through calculation examples, hoping to provide reference for the planning, construction and operation of the multi-station integration system.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Difei Tang, Yongbo Li, Hailong Jiang, Honghu Cheng, and Sheng Wang "Contrastive research on peak regulation performance of different types of energy storage resources under multi-station integration scenario", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131638R (5 June 2024); https://doi.org/10.1117/12.3030269
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KEYWORDS
System integration
Batteries
Lithium
Power grids
Data modeling
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