Optimal sizing of hybrid energy storage system under multiple typical conditions of sources and loads

Hybrid energy storage system (HESS) can support integrated energy system (IES) under multiple time scales. To address the diversity of new energy sources and loads, a multi-objective configuration frame for HESS is proposed under comprehensive source-load conditions. First, the IES operation model for minimizing the electricity purchase rate of IES and the HESS planning model for minimizing the levelised cost and the average reserve idle rate of HESS are established. Then, under the full condition scenarios based on APC, a HESS planning scheme is optimised by the NSGA-III and TOPSIS method. Finally, compared with single scene, the rated power and capacity of BESS differ by 5.46 times and 6.1 times, respectively. Based on full-condition scenarios, the proposed frame can integrate various operating conditions and effectively avoid the limitations of single conditions. The capacity of HESS accounts for 9.06% of new energy sources and BESS plays a dominant role at 74.82%.

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Publication Details

Journal
International Journal of Sustainable Energy
Published
2024-12-19
DOI
https://doi.org/10.1080/14786451.2024.2439298
Citations
3
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.98

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article

Optimal sizing of hybrid energy storage system under multiple typical conditions of sources and loads

Xinyan Zhang, Changling Li
3 citations
International Journal of Sustainable Energy
Microgrid Control and Optimization
0.98
article

Optimal sizing of hybrid energy storage system under multiple typical conditions of sources and loads

Xinyan Zhang, Changling Li
article en
3 citations

Abstract

Hybrid energy storage system (HESS) can support integrated energy system (IES) under multiple time scales. To address the diversity of new energy sources and loads, a multi-objective configuration frame for HESS is proposed under comprehensive source-load conditions. First, the IES operation model for minimizing the electricity purchase rate of IES and the HESS planning model for minimizing the levelised cost and the average reserve idle rate of HESS are established. Then, under the full condition scenarios based on APC, a HESS planning scheme is optimised by the NSGA-III and TOPSIS method. Finally, compared with single scene, the rated power and capacity of BESS differ by 5.46 times and 6.1 times, respectively. Based on full-condition scenarios, the proposed frame can integrate various operating conditions and effectively avoid the limitations of single conditions. The capacity of HESS accounts for 9.06% of new energy sources and BESS plays a dominant role at 74.82%.

International Journal of Sustainable EnergyVol. 44(1)
Inner Mongolia Electric Power (China) (CN), Institute of Economics (CN), Xinjiang University (CN)
Natural Science Foundation of Xinjiang Province, National Natural Science Foundation of China
Openalex Percentile: Top 22%
Microgrid Control and Optimization
0.98
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Optimal sizing of hybrid energy storage system under multiple typical conditions of sources and loads — Xinyan Zhang, Changling Li · International Journal of Sustainable Energy (2024) | TGRS Research Map | TGRS