中国电力2025，Vol.58Issue(5)：82-90,9.DOI:10.11930/j.issn.1004-9649.202408035
基于两阶段随机优化的电氢耦合微电网周运行策略
Two-Stage Stochastic Optimization Based Weekly Operation Strategy for Electric-Hydrogen Coupled Microgrid
摘要
Abstract
To fully capitalize on the medium-and long-term storage benefits of hydrogen energy,a two-stage weekly optimization scheduling strategy for electric-hydrogen coupled microgrids is proposed,utilizing a scenario-based stochastic optimization model.Firstly,the mathematical models for the electric-hydrogen coupled equipment within the microgrid are developed.Secondly,aiming to minimize the weekly operation cost,the cycles of electric and hydrogen energy storage are set as weekly and daily,respectively,and the first-stage weekly scheduling model of the microgrid based on weekly prediction data is established.Then,to account for the uncertainty in wind power generation,typical scenarios of prediction errors are introduced.A day-ahead scheduling model considering uncertainty is constructed,aiming to minimize the sum of the daily expected operational cost and the deviation penalty for the two-stage hydrogen storage tank's state of charge.The final weekly operation scheme is determined through rolling optimization.Finally,case studies demonstrate that the proposed strategy effectively reduces the microgrid's operating costs and enhances energy utilization.关键词
电氢耦合/氢储能/多时间尺度/随机优化/场景法Key words
electric-hydrogen coupling/hydrogen energy storage/multi-time scale/stochastic optimization/scenario-based method引用本文复制引用
陈铭宏天,耿江海,赵雨泽,许鹏,韩雨珊,张育铭,张子沫..基于两阶段随机优化的电氢耦合微电网周运行策略[J].中国电力,2025,58(5):82-90,9.基金项目
河北省在读研究生创新能力培养资助项目(CXZZBS2024168). This work is supported by Hebei Provincial Funding Project for Cultivating Innovation Ability of Postgraduate Students(No.CXZZBS2024168). （CXZZBS2024168）
