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Optimized Economic Operation of Microgrid: Combined Cooling and Heating Power and Hybrid Energy Storage Systems

机译:微电网的优化经济运行:组合冷却和加热电力和混合能储能系统

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摘要

With the rapid development of clean energy, the combined cooling and heating power (CCHP) and hybrid energy storage system (HESS) have become matured significantly. However, further optimizing the configuration of the energy supply system and adjusting the output of distributed micro-sources and energy storage units are still attractive issues. This paper focuses on the two-stage optimization strategy of the microgrid system, including CCHP and HESS. The details of the operating characteristics and mathematical models of distributed micro-sources in the system are presented. The energy storage architecture is used for mathematical modeling, and the optimization model is analyzed from the two perspectives of energy supply and demand, which explores the feasibility of improving the economic operation of the micro-energy system. The two-stage optimization model in which the first stage is to determine the optimal installation capacity of various equipment and the second stage determines the optimal operation plan of the system by obtaining the system's capacity configuration. The simulation results show that the CCHP system can reduce the operation cost by 4.61% and 6.48% for winter and summer, respectively, also reduce fuel cost consumption by 3.01% and 3.68% for winter and summer, respectively.
机译:清洁能源的快速发展,将合并的冷却和加热功率(CCHP)和混合能量存储系统(HESS)已经成为显著成熟。然而,进一步优化能量供给系统的配置和调整的分布式微源和能量存储单元中的输出仍然是有吸引力的问题。本文主要对微电网系统,包括冷热电联产和HESS的两阶段优化策略。的经营特色和系统中分布式微源数学模型的细节呈现。能量存储架构用于数学建模和优化模型是从能源供应和需求,从而探索提高微能源系统的经济运行的可行性两个角度进行分析。两阶段优化模型,其中第一阶段是确定各种设备的最佳安装容量和第二阶段通过获取系统的容量配置决定该系统的最佳运转计划。仿真结果表明,冷热电联供系统可以由4.61%和6.48%分别降低运营成本的冬季和夏季,也由3.01%和3.68%,降低燃油消耗成本为冬季和夏季,分别。

著录项

  • 来源
    《Journal of Energy Resources Technology》 |2021年第7期|070906.1-070906.9|共9页
  • 作者单位

    Faculty of Information and Electronic Engineering Huaiyin Institute of Technology Huai'an 223003 Jiangsu China;

    Faculty of Automation Huaiyin Institute of Technology Huai'an 223003 Jiangsu China;

    Faculty of Information and Electronic Engineering Huaiyin Institute of Technology Huai'an 223003 Jiangsu China;

    Department of Electrical Engineering National Institute of Technology Delhi New Delhi 110040 Delhi India;

    CTiF Global Capsule (CGC) Department of Business Development andTechnology Aarhus University Herning Campus 7400 Denmark;

    Faculty of Management Engineering Huaiyin Institute of Technology Huai'an 223003 Jiangsu China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    energy storage; demand response; energy sources; renewable energy; alternative energy sources;

    机译:储能;需求响应;能源;可再生能源;替代能源;

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