A Microgrid Source-Storage Optimization Method Considering Full-Cycle Chronological Order Characteristics

doi:10.16183/j.cnki.jsjtu.2024.227

Abstract

Abstract:

To meet the requirements of large capacity energy storage optimal design, particulaly regarding optimization, a microgrid source-storage optimization method considering full-cycle chronological order characteristics is proposed. This method employs a clustering algorithm which preserves temporal features to reduce the volume of operation scenario, in two dimensions, while ensuring that the resulting typical scenarios can retain all chronological information from the raw data. On this basis, a microgrid source-storage optimization model incorporating dual time series is established. The sequence-preserving time series is used for constraints across the entire optimization cycle to ensure solution accuracy, while the reduced time series is applied to other constraints which do not require chronological order, thereby lowering model complexity. The simulation results show that the proposed method yields more accurate source-storage optimization results compared with other existing approaches while maintaining the same model complexity. Additionally, the proposed method significantly improves the optimization accuracy of large capacity energy storage, reducing the optimization error of hydrogen energy storage capacity by more than 16%.

Key words: chronological order characteristics, typical scenario, renewable energy, large capacity energy storage, capacity optimization

CLC Number:

TM732

WANG Xiaobo, JIA Yongyong, LI Zheng, LI Wenbo, JIA Yuqiao, LI Huarui, ZHU Xinyao. A Microgrid Source-Storage Optimization Method Considering Full-Cycle Chronological Order Characteristics[J]. Journal of Shanghai Jiao Tong University, 2026, 60(4): 642-651.

Figures/Tables 4

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类型	光伏容量/ MW	风电容量/ MW	柴发容量/ MW	锂电池容量/(MW·h)		铅蓄电池容量/ (MW·h)	氢储能容量/ (MW·h)	总成本×10^-6/ (美元·a^-1)
类型	光伏容量/ MW	风电容量/ MW	柴发容量/ MW	节点4	节点8	节点2	节点3	总成本×10^-6/ (美元·a^-1)
基准	12.21	10.49	7.21	3.22	2.45	36.66	57.36	11.77
方法1	11.68	10.96	7.71	2.83	2.51	26.87	0	11.08
方法1误差/%	-4.34	4.48	6.93	-12.25	2.64	-26.70	-100.00	-5.86
方法2	11.04	10.13	7.48	2.78	1.94	29.89	39.76	10.42
方法2误差/%	-9.58	-3.43	3.74	-13.71	-20.76	-18.47	-30.68	-11.47
方法3	11.87	11.03	7.04	2.91	2.34	32.96	49.48	11.54
方法3误差/%	-2.78	5.15	-2.36	-9.82	-4.23	-10.09	-13.74	-1.95

场景中运行点数量/个	用时/s
场景中运行点数量/个	方法1	方法2	方法3
336	91	95	107
504	139	134	172
672	392	385	403
1008	713	747	784
1344	1047	1125	1236
2016	2874	2767	3012