考虑氢能储运特性的配电网集群划分与氢能系统选址定容策略OA北大核心CSTPCD
Cluster Configuration of Electric-Hydrogen Coupled Distribution Network Considering Hydrogen Energy Transport Characteristics
电-氢能源系统(IEHS)的合理规划对能源结构转型具有重要意义,充分利用氢储能的可移动特性可降低IEHS综合成本,提出一种考虑氢能储运特性的配电网集群划分与氢能系统规划策略.首先,将氢能系统拆分为多个氢能子系统(HES),建立多个HES之间的气氢拖车交通运输及储运成本模型;其次,基于电力-交通网架结构与新能源分布情况提出配电网集群划分方法;最后,根据集群划分结果,建立HES双层选址定容模型,该模型以IEHS年综合成本最低为目标,分层解决单个集群内HES的容量配置问题、各集群内部HES选址定容及气氢拖车配置问题.结果表明:提出的策略可以减小氢能储运压力、降低IEHS综合成本,提升风、光消纳水平,加快系统潮流计算迭代收敛速度.
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.
邱洁;梁财豪;朱永强;夏瑞华
华北电力大学电气与电子工程学院,北京 102206
电-氢能源系统氢储能集群优化双层选址定容风光消纳
integrated electricity-hydrogen energy systemhydrogen energy storagecluster optimizationdouble-layer location capacity determination modelconsumption of wind and solar power
《中国电力》 2024 (008)
12-22 / 11
中交集团重点科技研发项目(建筑光储直柔设计要点和实证研究).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).
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