Cluster Configuration of Electric-Hydrogen Coupled Distribution Network Considering Hydrogen Energy Transport Characteristics

doi:10.11930/j.issn.1004-9649.202312016

Abstract

Abstract:

The rational planning of integrated electricity-hydrogen system (IEHS) is of great significance to the transformation of energy structure. Making full use of the mobile characteristics of hydrogen energy storage may reduce the comprehensive cost of IEHS. Therefore, a distribution network cluster division and hydrogen energy system planning strategy considering the characteristics of hydrogen energy storage and transportation is proposed. Firstly, the hydrogen energy system is divided into multiple hydrogen energy subsystems (HES), and the transportation and storage cost model of gas-hydrogen trailer between HES is established. Secondly, based on the structure of power-transportation network and the distribution of new energy, the method of distribution network cluster division is proposed. Finally, according to the results of cluster division, the HES double-layer location capacity determination model is established. The model aims to minimize the annual comprehensive cost of IEHS, and solve the HES capacity allocation problem in a single cluster, the HES location capacity determination problem in each cluster and the gas-hydrogen trailer configuration problem in layers. The results show that the proposed strategy can reduce the pressure of hydrogen energy storage and transportation, reduce the comprehensive cost of IEHS, improve the absorption level of wind and light, and accelerate the iterative convergence rate of power flow calculation.

Key words: integrated electricity-hydrogen energy system, hydrogen energy storage, cluster optimization, double-layer location capacity determination model, consumption of wind and solar power

Jie QIU, Caihao LIANG, Yongqiang ZHU, Ruihua XIA. Cluster Configuration of Electric-Hydrogen Coupled Distribution Network Considering Hydrogen Energy Transport Characteristics[J]. Electric Power, 2024, 57(8): 12-22.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202312016

https://www.electricpower.com.cn/EN/Y2024/V57/I8/12

Figures/Tables 11

Fig.1 IEHS components and HES workflows

Fig.2 Framework of bi-level planning model

Fig.3 Flow chart of bi-level planning model

Table 1 Contrast scene setting

场景编号	是否优化HES位置、容量	是否划分集群
1	否	否
2	否	是
3	是	否
4	是	是

Fig.4 Electricity load and wind power photovoltaic output for one day

Fig.5 Hydrogen demand load for one day

Fig.6 Results of IEEE 33-node distribution network cluster division

Table 2 Comparison of system planning results and cost in different scenarios

场景编号	HES接入节点编号	单处HT 数量/辆	HGT/ MW	电解槽/ MW	C_grid/万元			C_HES/万元		C_HT/万元	F/万元
场景编号	HES接入节点编号	单处HT 数量/辆	HGT/ MW	电解槽/ MW	C_buy	C_q	$C_{C O_{2}}$	C_him	C_hom	C_HT/万元	F/万元
1	14/29/20	3	3/3/3	3/3/3	73.370	6.240	1.4330	1.500	1.35100	1.112	85.00600
2	14/29/20	2	3/3/3	3/3/3	71.450	5.930	1.1330	1.500	1.03200	0.893	81.93800
3	4/28/14/21	2	2/4/2/2	2/4/2/2	59.230	5.746	0.4881	1.832	0.66399	0.770	68.73009
4	4/29/21/24/14	2	2/3/3/2	2/3/3/2	58.834	5.331	0.3865	1.832	0.64868	0.732	67.76378

Table 2 Comparison of system planning results and cost in different scenarios

场景编号	HES接入节点编号	单处HT 数量/辆	HGT/ MW	电解槽/ MW	C_grid/万元			C_HES/万元		C_HT/万元	F/万元
场景编号	HES接入节点编号	单处HT 数量/辆	HGT/ MW	电解槽/ MW	C_buy	C_q	$C_{C O_{2}}$	C_him	C_hom	C_HT/万元	F/万元
1	14/29/20	3	3/3/3	3/3/3	73.370	6.240	1.4330	1.500	1.35100	1.112	85.00600
2	14/29/20	2	3/3/3	3/3/3	71.450	5.930	1.1330	1.500	1.03200	0.893	81.93800
3	4/28/14/21	2	2/4/2/2	2/4/2/2	59.230	5.746	0.4881	1.832	0.66399	0.770	68.73009
4	4/29/21/24/14	2	2/3/3/2	2/3/3/2	58.834	5.331	0.3865	1.832	0.64868	0.732	67.76378

Fig.7 HES output of each cluster in a typical day

Fig.8 Abandonment cost and HT operating cost

Fig.9 Model convergence in each scenario

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