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13 May 2024 Multi-objective optimal allocation model of hybrid energy storage capacity based on generation, transmission and consumption demand
Lang Zhao, Yizheng Li, Dong Peng, Haiqiong Yi, Yao Wang, Haifeng Yu, Hao Sheng
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Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131591A (2024) https://doi.org/10.1117/12.3024531
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China
Abstract
Current research on the optimal allocation of Hybrid Energy Storage System (HESS) capacity lacks consideration of both consumption and user demand. Most of the available literature only considers unilateral demand. Therefore, this paper proposes a hybrid energy capacity allocation method that considers both wind power and user two-way demand. First, a flexible load model is constructed from the user-side demand response characteristics. Second, a HESS composed of batteries and super capacitors is established, and a HESS charging and discharging strategy is proposed. Again, the capacity optimization model is constructed with the objective function of the lowest cost, the smallest wind abandonment rate, and the highest electricity satisfaction of the HESS. Finally, in order to verify the effectiveness of the model, an arithmetic example analysis is carried out.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Lang Zhao, Yizheng Li, Dong Peng, Haiqiong Yi, Yao Wang, Haifeng Yu, and Hao Sheng "Multi-objective optimal allocation model of hybrid energy storage capacity based on generation, transmission and consumption demand", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131591A (13 May 2024); https://doi.org/10.1117/12.3024531
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KEYWORDS
Batteries
Wind energy
Power consumption
Mathematical optimization
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