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

doi:10.16183/j.cnki.jsjtu.2022.225

Abstract

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)

CLC Number:

TM732

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.

Figures/Tables 12

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References 35

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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

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

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