Electric Power ›› 2024, Vol. 57 ›› Issue (8): 12-22.DOI: 10.11930/j.issn.1004-9649.202312016

• Power System Flexibility Improvement Technology Based on Hydrogen Energy • Previous Articles     Next Articles

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

Jie QIU(), Caihao LIANG, Yongqiang ZHU(), Ruihua XIA   

  1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
  • Received:2023-12-05 Accepted:2024-03-04 Online:2024-08-23 Published:2024-08-28
  • Supported by:
    This work is supported by Key Science and Technology R&D Project of CCCC Group (The Key Points and Empirical Research on the Design of Building Optical Storage and Direct Flexibility).

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