计及动态碳排放因子的多H2-IES双层优化运行方法

doi:10.16183/j.cnki.jsjtu.2022.225

上海交通大学学报 ›› 2024, Vol. 58 ›› Issue (5): 610-623.doi: 10.16183/j.cnki.jsjtu.2022.225

• 新型电力系统与综合能源 • 上一篇下一篇

计及动态碳排放因子的多H₂-IES双层优化运行方法

付文溪¹, 窦真兰², 张春雁², 王玲玲¹(), 蒋传文¹, 熊展¹

1.上海交通大学电力传输与功率变换控制教育部重点实验室,上海 200240
2.国网上海综合能源服务有限公司,上海 200023

收稿日期:2022-06-17 修回日期:2022-08-16 接受日期:2022-09-15 出版日期:2024-05-28 发布日期:2024-06-17
通讯作者: 王玲玲,博士,助理研究员;E-mail:himalayart@163.com.
作者简介:付文溪(1998-),硕士生,从事综合能源系统优化运行研究.
基金资助:
上海市科技计划资助项目(21DZ1208400)

Bi-Level Optimization Operation Method of Multi-H₂-IES Considering Dynamic Carbon Emission Factors

FU Wenxi¹, DOU Zhenlan², ZHANG Chunyan², WANG Lingling¹(), JIANG Chuanwen¹, XIONG Zhan¹

1. Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
2. State Grid Shanghai Integrated Energy Service Co., Ltd., Shanghai 200023, China

Received:2022-06-17 Revised:2022-08-16 Accepted:2022-09-15 Online:2024-05-28 Published:2024-06-17

1. 610.pdf(121959KB)

摘要/Abstract

摘要：

在“双碳”目标背景下,能源系统的低碳转型是其未来的发展方向.近年来,高热值、低污染的氢能受到广泛重视.基于碳排放流理论提出一种计及动态碳排放因子的多含氢综合能源系统(H₂-IES)双层优化运行模型.在上层模型中,上级能源网基于效益最优原则建立经济调度模型,确定各园区的能源价格与碳排放因子并下发给下层;在下层模型中,基于纳什谈判理论建立了多园区低碳合作运行模型,并采用自适应交替方向乘子法分布式求解,确定各园区的能源需求量并反馈给上层;所提模型在多次迭代互动中实现上下层协同优化.为了实现对多园区合作收益的合理分配,提出一种基于综合议价能力的收益分配方法.算例分析表明,该双层优化方法可实现上下层间的协同运行,同时兼顾多园区运行的低碳性与经济性,通过合理分配合作收益,保证园区参与合作的积极性.

关键词: 含氢综合能源系统, 动态碳排放因子, 综合议价能力, 电氢交易, 自适应交替方向乘子法

Abstract:

In the context of achieving “carbon peaking and carbon neutrality”, the low-carbon transformation of the energy system is the development direction in the future. Hydrogen, known for its high calorific value and low pollution, has received extensive attention in recent years. Based on the carbon emission flow theory, a bi-level optimization operation model of multi-integrated energy system with hydrogen (H₂-IES) is proposed considering dynamic carbon emission factors. At the upper level, an economic dispatch model is established by the main energy grid based on the principle of optimal benefit, and the energy prices and carbon emission factors of each park are determined and distributed to the lower level. At the lower level, a multi-park low-carbon cooperative operation model is established based on the Nash negotiation theory, and the adaptive alternating direction method of multipliers (A-ADMM) is used for distributed solution to determine the energy demand of each park and provide feedback to the upper level. The coordinated operation of both levels is realized in multiple iterative interactions. To equitably distribute the benefits of cooperation, a revenue distribution method based on comprehensive bargaining power is proposed. The analysis of a case study shows that the bi-level optimization method proposed in this paper can realize the coordinated operation between the upper and lower levels, and take into account the low-carbon and economical properties of multi-parks operation. Because the income is reasonably distributed, the enthusiasm of parks to participate in cooperation can be guaranteed.

Key words: integrated energy system with hydrogen (H₂-IES), dynamic carbon emission factors, comprehensive bargaining power, electricity-hydrogen trading, adaptive alternating direction method of multipliers (A-ADMM)

中图分类号:

TM732

付文溪, 窦真兰, 张春雁, 王玲玲, 蒋传文, 熊展. 计及动态碳排放因子的多H₂-IES双层优化运行方法[J]. 上海交通大学学报, 2024, 58(5): 610-623.

FU Wenxi, DOU Zhenlan, ZHANG Chunyan, WANG Lingling, JIANG Chuanwen, XIONG Zhan. Bi-Level Optimization Operation Method of Multi-H₂-IES Considering Dynamic Carbon Emission Factors[J]. Journal of Shanghai Jiao Tong University, 2024, 58(5): 610-623.

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H₂-IES编号	合作前成本/元	合作后成本/元	成本降低值/元
1	3 936.957 4	3 175.947 9	761.009 5
2	2 554.160 8	1 874.779 5	679.381 3
3	3 607.061 2	2 921.898 9	685.162 3
联盟	10 098.179 4	7 972.626 3	2 125.553 1

H₂-IES 编号	合作前碳排量/t	合作后碳排量/t	合作前碳成本/元	合作后碳成本/元
1	4.968 7	5.697 4	-672.325 7	-490.138 3
2	3.602 0	3.801 3	-881.682 4	-831.854 2
3	5.838 7	1.954 5	-252.255 2	-1 223.319 0
联盟	14.409 4	11.453 2	-1 806.263 3	-2 545.311 5

H₂-IES编号	电能交易量/(kW·h)	氢能交易量/(kW·h)	电能议价能力系数	氢能议价能力系数
1	4 442.500 5/-1 433.474 8	2 376.639 4/-1 124.313 9	1.306 2	1.984 7
2	5 909.299 7/-2 983.211 0	522.714 1/-2 739.926 5	2.065 8	0.871 0
3	1 053.141 1/-6 987.814 7	2 440.452 0/-1 475.159 3	0.827 2	2.134 6

H₂-IES编号	合作前成本/元	合作后成本/元	成本降低值/元
1	3 936.957 4	1 458.975 5	708.811 1
2	2 554.160 8	572.193 0	708.501 3
3	3 607.061 2	-2 028.732 7	708.770 0

氢能权重	综合议价能力系数
氢能权重	H₂-IES₁	H₂-IES₂	H₂-IES₃
0.1	1.374 1	1.946 3	0.957 9
0.3	1.509 8	1.707 3	1.219 4
0.5	1.645 5	1.468 4	1.480 9
0.7	1.781 2	1.229 4	1.742 4
0.9	1.916 9	0.990 5	2.003 9

计及动态碳排放因子的多H₂-IES双层优化运行方法

Bi-Level Optimization Operation Method of Multi-H₂-IES Considering Dynamic Carbon Emission Factors

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