计及全周期时序特性的微电网源储优化设计方法

doi:10.16183/j.cnki.jsjtu.2024.227

摘要/Abstract

摘要：

针对大容量储能优化设计对优化周期长度与时间尺度精细度的要求,提出一种计及全周期时序特性的微电网源储优化设计方法.该方法采用具备时序特征保持能力的聚类算法,从两个维度对运行场景的数据进行降维处理,所得典型场景能够完整保留原始数据中的所有时序信息.在此为基础,构建包含双时间序列的源储优化设计模型:其中保序时间序列用于约束全优化周期,确保模型求解的准确性;削减时间序列应用于无需考虑时序关系的其他约束,以降低模型复杂度.仿真结果表明:在保持相同模型复杂度的情况下,所提方法的源储优化结果准确性方面优于现有方法,尤其显著提升了大容量储能的优化精度,其中氢储能容量优化误差降低16%以上.

关键词: 时序特性, 典型运行场景, 可再生能源, 大容量储能, 容量优化

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

中图分类号:

TM732

王萧博, 贾勇勇, 李铮, 李文博, 贾宇乔, 李华瑞, 朱鑫要. 计及全周期时序特性的微电网源储优化设计方法[J]. 上海交通大学学报, 2026, 60(4): 642-651.

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.

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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