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文章摘要
考虑频率越限风险的氢能港口配电网灾后应急调度
Post-Disaster emergency dispatch of distribution grids for hydrogen energy ports considering the risk of frequency overruns
Received:March 01, 2025  Revised:April 06, 2025
DOI:10.19753/j.issn1001-1390.2025.06.008
中文关键词: 氢能港口  灾后应急调度  可逆固体氧化物电池  频率约束  多时间尺度。
英文关键词: hydrogen energy ports, post-disaster emergency dispatch, reversible solid oxide batteries, frequency constraints, multiple time scale
基金项目:国家自然科学基金项目青年科学基金资助项目( 52307149),中国博士后科学基金(BX20230326)
Author NameAffiliationE-mail
YANG Jiahui College of Electrical Engineering and New Energy,China Three Gorges University 1349200473@qq.com 
WANG Yuxi Changjiang Institute of Survey, Planning, Design and Research Co, Ltd wangyuxi007@qq.com 
SUI Quan* School of Electrical and Information Engineering, Zhengzhou University quan_sui@163.com 
LIN Xiangning State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology xiangning.lin@hust.edu.cn 
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中文摘要:
      针对极端灾害侵袭港口配电网导致负荷大规模中断、经济损失严重的问题,文中提出一种考虑频率约束的氢能港口配电网灾后应急调度策略。首先,通过量化分析可逆固体氧化物电池、储氢站运行特性及关联关系,构建港口氢能系统运行模型。在此基础上,计及电氢供需关系,提出氢能港口配电网多时间尺度应急调度方法。其中,在长时间尺度上,将节点负荷细分为功率连续可调的可控负荷和馈线开关决断的不可控负荷,建立多类型负荷中断约束;在短时间尺度上,考虑新能源发电和用户用电的随机性、波动性,建立配电网频率稳定约束。继而,采用大M法将模型中的非线性约束转化为经典的混合整数线性规划问题进行求解。最后,通过改进的IEEE 33节点配电网进行仿真验证。仿真结果表明,文中所提策略能够有效减少灾后损失并保障电力供应以及电网安全,对灾后能量恢复提供一个较好的视角。
英文摘要:
      To address the severe load interruption and economic losses caused by extreme disasters in port power distribution networks, this paper proposes a post-disaster emergency dispatch strategy for hydrogen-powered port distribution networks considering frequency constraints. First, an operational model for port hydrogen energy systems is established through quantitative analysis of reversible solid oxide cells and hydrogen storage stations, along with their interdependencies. Building upon this foundation, a multi-timescale emergency dispatch methodology is developed by incorporating electricity-hydrogen supply-demand relationships. Specifically, for long-term scheduling, nodal loads are subdivided into power-continuously adjustable controllable loads and uncontrollable loads determined by feeder switches, with multi-type load interruption constraints formulated. For short-term scheduling, frequency stability constraints are established considering the stochasticity and volatility of renewable energy generation and loads. Subsequently, the big-M method is employed to transform nonlinear constraints into a classical mixed-integer linear programming problem for solution. Case studies are conducted on a modified IEEE 33-node distribution network. Simulation results demonstrate that the proposed strategy can effectively reduce post-disaster losses while ensuring power supply reliability and grid security, offering a novel perspective for post-catastrophe energy restoration.
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