Multi-Objective Robustness of Integrated Energy System Considering Source-Load Uncertainty

doi:10.16183/j.cnki.jsjtu.2023.238

Abstract

Abstract:

Under the construction of a new power system, the integrated energy system with electricity-thermal-hydrogen interconnection will become one of the important development directions, but its whole life cycle operation economy and energy supply reliability are affected by the initial equipment capacity and daily operation scheme of the system. Therefore, a multi-objective two-stage robust optimization method is proposed, taking into account the source-load uncertainty. A grid-connected electric-thermal-hydrogen operation model including fuel cells and electrolytic cells is developed, and the source-load uncertainty is added by using the hierarchical Latin hypercube sampling and Euclidean distance scenario reduction methods, and solved by a two-stage robust optimization algorithm. The results show that the proposed method can effectively mitigate the impact of source-load uncertainty on the configuration and operation planning of the integrated energy system, which is expected to provide new ideas for the construction and operation of integrated energy systems in the future.

Key words: source-load uncertainty, integrated energy system, two-stage robust optimization, hydrogen energy, fuel cell

CLC Number:

TM732

LI Jianlin, ZHANG Zedong, LIANG Ce, ZENG Fei. Multi-Objective Robustness of Integrated Energy System Considering Source-Load Uncertainty[J]. Journal of Shanghai Jiao Tong University, 2025, 59(2): 175-185.

Figures/Tables 15

Fig.1

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Fig.4

Tab.1

Tab.2

Energy storage equipment parameters of system

储能类型	自损耗率/%	最大充能速率	最大放能速率	充能效率/%	放能效率/%	SOC 最大值/%	SOC 最小值/%	初始投资费用	折现时间/a	运行维护费用
电储能	0.1	0.32 $C B E S S B$	0.32 $C B E S S B$	97	98	95	10	1 600元/kW	12	0.035元/(kW·h)
热储能	0.6	0.4 $C H S T B$	0.4 $C H S T B$	94	95	95	10	450元/kW	20	0.028元/kW
氢储能	0.1	0.45 $C H T B$	0.45 $C H T B$	98	99	95	10	313元/m³	18	0.056元/m³

Tab.2

Tab.3

Power equipment parameters of system

电源设备	产电效率/%	产热效率/%	产氢效率/%	最大运行功率/kW	最大爬坡约束/ (kW·h^-1)	初始投资费用/ (元·kW^-1)	折现时间/a	运行维护费用/ (元·kW^-1)
燃料电池	58	22	-	0.95 $C F C B$	0.25 $C F C B$	4 000	21	0.102
电解槽	-	-	60	0.96 $C E L B$	0.3 $C E L B$	6 000	15	0.122
电锅炉	-	95	-	0.95 $C E B B$	0.25 $C E B B$	550	15	0.096

Tab.3

Tab.4

Tab.5

Tab.6

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方案	考虑因素
方案	碳交易	源-荷极端环境	燃料电池电能	燃料电池热能
1	-	-	-	-
2	√	-	-	-
3	√	√	√	-
4	√	√	√	√

时段	购电电价	售电电价
0:00—7:00, 10:00—12:00, 21:00—24:00	0.38	0.33
7:00—8:00, 12:00—14:00, 16:00—21:00	0.96	0.83
8:00—10:00, 14:00—16:00	1.30	1.13

方案	光伏电池/kW	风电机组/kW	燃料电池/kW	电解槽/m³	电锅炉/kW	电储能/ (kW·h)	热储能/ (kW·h)	氢储能/ m³
S1	59 800	70 230	0	5 212	23 950	59 500	45 500	32 620
S2	62 500	70 650	0	5 320	24 250	61 220	45 000	34 620
S3	69 800	90 230	7 002	2 025	22 850	62 600	51 000	39 800
S4	70 000	90 740	7 017	2 041	21 060	62 500	50 000	40 000

方案	设备年值成本	运维成本	弃能惩罚成本	交互收益	碳排成本	FC收益
S1	2 407.04	22.76	6.96	40.58	0	0
S2	2 461.67	21.56	5.31	48.32	3.94	0
S3	2 651.47	19.27	0	36.50	3.74	1.87
S4	2 637.67	18.92	0	38.27	3.67	2.21