文章摘要
水电站库区翻坝能源–物流耦合调度优化
Energy–Logistics coupled dispatching optimization for cross-dam intermodal in hydropower station reservoir area
投稿时间:2025-09-16  修订日期:2025-10-23
DOI:
中文关键词: 水电站  翻坝物流  能源-物流耦合  耦合优化  节能减排
英文关键词: hydropower station  over dam logistics  energy–logistics coupling  coupled optimization  energy saving and emission reduction
基金项目:国家自然科学基金资助项目(52207091)
作者单位邮编
贾清茹 河海大学电气与动力工程学院 211100
刘皓明* 河海大学电气与动力工程学院 211100
普月 河海大学电气与动力工程学院 
王健 河海大学电气与动力工程学院 
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中文摘要:
      为解决水电站大坝阻断造成的翻坝运输成本高昂与碳排放严重问题,提出了一种结合电-氢-油多能互补的翻坝能源-物流耦合调度优化方法。针对翻坝货物在水路和陆路间的分流特点,分析了涵盖多类型重卡及水路转运设施的翻坝物流运行特性,建立了物流设施能耗模型;基于制充储氢一体站等设施的运行功率特征,构建了能源设施产能模型。结合能源供需耦合机理刻画,建立翻坝能源-物流耦合调度优化模型。以运行成本最低为目标,兼顾碳排放与负荷响应能力,对翻坝能源与物流进行耦合优化,得到货流分配及物流和能源设施的调度方案。以西南某6400MW水电站库区为例,仿真结果表明,所提方法能够有效降低翻坝运行成本和碳排放。
英文摘要:
      To address the high transportation costs and severe carbon emissions caused by dam blockages at hydropower stations, this study proposes a cross-dam energy–logistics coupled dispatching optimization method that integrates electricity–hydrogen–oil multi-energy complementarity. According to the flow diversion characteristics of cross-dam cargo between waterway and land routes, the operational characteristics of cross-dam logistics covering heterogeneous heavy-duty trucks and waterway handling facilities are analyzed, and energy consumption models for transportation equipment are established. Based on the operational power characteristics of facilities such as integrated hydrogen production–charging–storage stations, energy facility production models are constructed. Combined with the characterization of energy supply–demand coupling mechanisms, a cross-dam energy–logistics coupled dispatching optimization model is established. With the objective of minimizing operational costs while considering carbon emissions and load response capability, coupled optimization is performed on cross-dam energy and logistics systems to obtain cargo flow distribution and dispatching strategies for transportation and energy equipment. Taking a 6400MW hydropower station in Southwest China as a case study, simulation results demonstrate that the proposed method can effectively reduce cross-dam operational costs and carbon emissions.
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