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A robust optimization approach for coordinated operation of multiple energy hubs

机译:一种强大的多能集线器协调操作的优化方法

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摘要

The energy hub (EH) has become an important concept in terms of optimizing multi-carrier energy systems' efficiency and flexibility. In this regard, an optimal operation model for managing multiple EHs with electrical and heat energy demands is proposed, which aims to reduce the total cost of the EHs. The components of each EH include the combined heat and power (CHP) unit, gas boiler, heat storage (HS) unit, wind turbine (WT) and photovoltaic (PV) array. A robust optimization approach is then proposed to deal with the uncertainties of renewable distributed energy resources (RDERs) and electricity prices. Meanwhile, both electrical and thermal demand response (DR) programs are considered in the proposed model. Finally, the optimized dispatch results under three different scheduling scenarios, i.e., the independent scenario, and the aggregation scenarios with and without DR programs are discussed. The simulation results show that the proposed multiple EHs optimization model can effectively reduce the total cost of EHs. Meanwhile, the results also reveal that implementing the DR programs can further reduce the consumers' total costs through load shifting.
机译:能源中心(EH)在优化多载能源系统的效率和灵活性方面已成为一个重要的概念。在这方面,提出了一种用于管理具有电气和热能需求的多个EHS的最佳操作模型,旨在降低EHS的总成本。每个EH的组件包括组合的热量和功率(CHP)单元,燃气锅炉,蓄热(HS)单元,风力涡轮机(WT)和光伏(PV)阵列。然后提出了一种强大的优化方法来处理可再生分布式能源(RDERS)和电价的不确定性。同时,在所提出的模型中考虑了电气和热需求响应(DR)程序。最后,讨论了在三种不同的调度方案下的优化调度结果,即独立方案,以及具有和不使用DR程序的聚合方案。仿真结果表明,所提出的多个EHS优化模型可以有效地降低EHS的总成本。同时,结果还揭示了实施DR程序可以通过负载转移进一步降低消费者的总成本。

著录项

  • 来源
    《Energy》 |2020年第15期|117171.1-117171.11|共11页
  • 作者单位

    School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei 230009 China;

    Department of Electrical Engineering and Computer Science University of Wisconsin-Milwaukee Milwaukee Wl 53211 USA;

    Department of Electrical Engineering and Computer Science University of Wisconsin-Milwaukee Milwaukee Wl 53211 USA;

    Department of Electrical Engineering and Computer Science University of Wisconsin-Milwaukee Milwaukee Wl 53211 USA;

    School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei 230009 China;

    School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei 230009 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Energy hub; Energy efficiency; Optimal operation; Robust optimization; Demand response;

    机译:能量枢纽;能源效率;最佳运行;鲁棒优化;需求响应;

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