1.输变电装备技术全国重点实验室(重庆大学),重庆市 400044
2.江苏省送变电有限公司,江苏省南京市 211000
秦天喜(2000—),男,博士研究生,主要研究方向:电氢能源系统优化调度,车网互动。E-mail:2677508572@qq.com
张谦(1980—),女,通信作者,博士,教授,博士生导师,主要研究方向:综合能源系统优化调度、电动汽车与电网互动。E-mail:zhangqian@cqu.edu.cn
郝睿忆(1999—),男,硕士,主要研究方向:电氢能源系统优化调度。E-mail:947133527@qq.com
收稿:2025-12-10,
修回:2026-03-04,
网络首发:2026-09-11,
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秦天喜,张谦,郝睿忆等.突发灾害下灵活氢资源多途径参与配电网应急保供调度策略[J/OL].电力系统自动化, http://dx.doi.org/10.7500/AEPS20251210003.
QIN Tianxi,ZHANG Qian,HAO Ruiyi,et al.Scheduling Strategy for Multi‑path Participation of Flexible Hydrogen Resources in Emergency Power Supply Guarantee for Distribution Network Under Sudden Disasters[J/OL].Automation of Electric Power Systems, http://dx.doi.org/10.7500/AEPS20251210003.
秦天喜,张谦,郝睿忆等.突发灾害下灵活氢资源多途径参与配电网应急保供调度策略[J/OL].电力系统自动化, http://dx.doi.org/10.7500/AEPS20251210003. DOI:
QIN Tianxi,ZHANG Qian,HAO Ruiyi,et al.Scheduling Strategy for Multi‑path Participation of Flexible Hydrogen Resources in Emergency Power Supply Guarantee for Distribution Network Under Sudden Disasters[J/OL].Automation of Electric Power Systems, http://dx.doi.org/10.7500/AEPS20251210003. DOI:
配电网受到突发灾害后分布式资源保供能力有限、配电网重构成本高昂,氢能为其提供了有效途径,但氢资源单一途径参与配电网应急调度难以挖掘灵活性氢资源的保供潜力。因此,提出突发灾害下灵活性氢资源通过多氢-电转换途径供能的配电网预调度-动态应急调度策略。首先,考虑可再生能源出力不确定性与多网融合下的配电网优化运行模型,并构建了配电网动态潮流模型。其次,构建了移动氢资源两阶段鲁棒预调度优化模型,进一步考虑应急事件对道路容量和通行时间影响,建立了以多种分布式资源协同出力为基础,移动氢能资源多途径参与氢-电转换的动态调度模型。算例仿真表明,所提灵活性氢资源多途径参与配电网多阶段应急保供策略在应急事件发生时可有效降低动态调度周期内总削负荷成本,并确保重要节点有功负荷恢复率保持较高水平。
After a sudden disaster
the supply-guarantee capability of distributed resources in the distribution network is limited
and the cost of network reconstruction is high. Hydrogen energy provides an effective solution. However
relying on a single hydrogen resource pathway for emergency dispatching in the distribution network makes it difficult to fully utilize the supply potential of flexible hydrogen resources. Therefore
this paper proposes a pre-scheduling and dynamic emergency dispatch strategy for distribution networks
where flexible hydrogen resources are utilized through multiple hydrogen-electric conversion pathways under emergency conditions. First
an optimal operation model for the distribution network is proposed
considering the uncertainty of renewable energy output and the integration of multiple networks
and a dynamic power flow model for the distribution network is constructed. Second
a two-stage robust pre-scheduling optimization model for mobile hydrogen resources is developed
further incorporating the impact of emergency events on road capacity and travel time. This model establishes a dynamic scheduling strategy based on the collaborative output of various distributed resources
where mobile hydrogen resources participate in hydrogen-electric conversion through multiple pathways. Finally
simulation results demonstrate that the proposed multi-pathway flexible hydrogen resource strategy for multi-stage emergency supply in the distribution network can effectively reduce the total load shedding cost during dynamic scheduling periods in the event of an emergency
while ensuring a high active power recovery rate at key nodes.
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