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主动配电网多场景直流改造经济性评估方法
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中国农业大学信息与电气工程学院, 北京市 100083

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国家自然科学基金青年基金资助项目(51807102)


Economic Evaluation Method for Multi-scenario DC Transformation of Active Distribution Network
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College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

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    摘要:

    直流配电方式具有高供电能力、低损耗、控制灵活等优势,随着电力电子技术的不断成熟,交直流混合配电网逐渐成为新的研究热点和发展趋势。提出了考虑高密度负荷与分布式电源接入下城市配电网直流改造经济性评估模型,并采用换流器最小安装容量计算模型及其优化控制策略优化投资成本和运行成本。在模型中考虑了改造前后弃风弃光、切负荷成本以及运行成本变化产生的减损收益。在多场景下,将直流改造与其他改造方式进行了技术性对比,并分析了分布式电源渗透率、直流负荷占比对直流改造投资经济性的影响。仿真结果验证了所提经济性评估方法的有效性,并表明当配电网对供电能力和分布式电源消纳能力有较高需求时,直流改造方案具有一定的技术及经济可行性。

    Abstract:

    DC distribution mode has the advantages of high power supply capacity, low loss and flexible control. With the continuous maturity of power electronic technology, AC/DC hybrid distribution network gradually becomes a new research hotspot and development trend. An economic evaluation model for DC transformation of urban distribution network considering high-density load and distributed generator(DG)supply is proposed. The calculation model of minimum installation capacity and its optimal control strategy are used to optimize investment cost and operation cost. In the model, the impairment income caused by the change of DG output curtailment, load shedding and operation cost is considered. In multiple scenarios, the technique of DC transformation is compared with other transformation methods. The influence of DG penetration and DC load ratio on investment economy of DC transformation is also analyzed. The simulation results verify the effectiveness of the proposed economic evaluation method. It also shows that the proposed DC transformation scheme has technical and economic feasibility when the power supply capacity and DG consumption capacity of network are highly required.

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引用本文

许彪,唐巍,张璐,等.主动配电网多场景直流改造经济性评估方法[J].电力系统自动化,2019,43(23):50-57. DOI:10.7500/AEPS20190513003.
XU Biao, TANG Wei, ZHANG Lu,et al.Economic Evaluation Method for Multi-scenario DC Transformation of Active Distribution Network[J].Automation of Electric Power Systems,2019,43(23):50-57. DOI:10.7500/AEPS20190513003.

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  • 收稿日期:2019-05-13
  • 最后修改日期:2019-08-15
  • 录用日期:2019-07-23
  • 在线发布日期: 2019-08-12
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