ADN中加氢站与drg协同规划的分布式能耗与灵活性增强

IF 10.1 1区 工程技术 Q1 ENERGY & FUELS
Menghao Peng , Yuxuan Zhao , Jiarong Li , Zhaoxia Jing
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引用次数: 0

摘要

将配备现场电解槽和燃料电池的加氢站(HRSs)集成到有源配电网(ADN)中,既提高了分布式可再生能源发电机(DRGs)的发电消耗,又提高了ADN的运行灵活性。为实现这一目标,提出了一种两阶段鲁棒模型,用于ADN内HRSs和DRGs的协同规划,包括投资阶段和运营阶段。在投资阶段,hrs和DRGs的选址和组件容量确定是协同确定的。在运行阶段,根据投资阶段的规划结果,推导出考虑ADN与交通网络(TN)关系的ADN的最优调度。通过模拟ADN运行阶段HRSs和drg的运行情况,确定了总成本最小的最优协同规划结果。引入用户平衡(UE)交通流模型来描述氢燃料电池汽车(hfcv)在TN中的行驶和加氢行为,并估计其加氢需求。利用鲁棒优化来管理不确定性,推导了两阶段鲁棒协同规划模型(TRCPM),并引入了一些线性化技术以及嵌套列约束生成(NC&;CG)算法使其易于处理。对33总线混合配电网和24节点混合交通网络的仿真验证了该协同规划模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collaborative planning of hydrogen refuelling stations and DRGs in ADN for distributed energy consumption and flexibility enhancement
Integrating hydrogen refuelling stations (HRSs) equipped with the on-site electrolyser and fuel cell into the active distribution network (ADN) enhances both the consumption of distributed renewable generators' (DRGs) power generation and the operational flexibility of the ADN. To achieve this goal, a two-stage robust model is proposed for the collaborative planning of HRSs and DRGs within the ADN, encompassing investment and operation stages. In the investment stage, the site selection and component capacity determination of HRSs and DRGs are collaboratively determined. In the operation stage, the optimal scheduling of the ADN considering the relationship between the ADN and the transportation network (TN) is derived based on the planning results from the investment stage. By simulating the operation of the ADN with HRSs and DRGs in the operation stage, the optimal collaborative planning results that minimizes the total costs is determined. A user equilibrium (UE) traffic flow model is introduced to describe the travel and refuelling behaviours of hydrogen fuel cell vehicles (HFCVs) in the TN and to estimate their hydrogen refuelling demands. The two-stage robust collaborative planning model (TRCPM) is derived using robust optimisation to manage uncertainty and some linearisation techniques as well as the Nested Column-and-Constraint Generation (NC&CG) algorithm are introduced to make it tractable. Simulations on a hybrid 33-bus power distribution network and 24-node transportation network demonstrate the effectiveness of the proposed collaborative planning model.
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来源期刊
Applied Energy
Applied Energy 工程技术-工程:化工
CiteScore
21.20
自引率
10.70%
发文量
1830
审稿时长
41 days
期刊介绍: Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.
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