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基于加权分布熵的配电网电动汽车并网运行风险分析
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作者单位:

1.智慧能源工程技术研究中心,华南理工大学电力学院;2.广东电网有限责任公司;3.广州市奔流电力科技有限公司

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国家自然科学基金


Operation Risk Analysis of Electric Vehicle Integrated to Distribution Network Based on Weighted Distribution Entropy
Author:
Affiliation:

1.Research Center of Smart Energy Technology, School of Electrical Power, South China University of Technology;2.Guangzhou Power Electrical Engineering Technology Co., Ltd.

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    摘要:

    针对电动汽车并网配电网运行风险分析问题,提出带有放大系数的损失严重度,以分布熵来度量配电网状态变量分布不确定性引起的风险,利用损失严重度对分布熵进行加权以建立加权分布熵,基于加权分布熵建立了电压风险指标和潮流风险指标,以元件重要度对加权分布熵进行加权求和来评估网络的电压风险和潮流风险,并综合两类风险建立了配电网运行风险综合评估指标。最后,以接入风电和光伏的改进IEEE 33节点配电系统为例,通过动态概率潮流仿真计算分析了加权分布熵相对于传统风险指标的优越性以及运行风险综合评估指标的合理性,并研究了运行风险随电动汽车负荷的接入位置和容量的变化情况,从而验证了本文所提指标和模型的有效性。

    Abstract:

    Aiming at the analysis of operation risk of the distribution network caused by electric vehicle to grid, the indicator of loss severity with amplification factor is proposed, and the distribution entropy is used to measure the risk caused by the uncertainty of the distribution of the state variables of the distribution network. Weighting the distribution entropy using loss severity, the weighted distribution entropy (WDE) is established, based on which the voltage risk index and the load-flow risk index are established. The weighted sum of WDE is calculated according to the component importance, so as to evaluate the voltage risk and the load-flow risk of the network. Taking into account both types of risks, a comprehensive set of indexes is constructed to evaluate the operation risk of distribution networks. Finally, simulation studies are conducted on an improved IEEE 33-node distribution system with wind power and photovoltaic accessed, and the superiority of WDE over traditional risk indicators and the rationality of the comprehensive index are analyzed by dynamic probabilistic power flow simulation. In addition, the variation of the operational risk with the access location and capacity of electric vehicle load are studied. By the simulation studies, the effectiveness of the indicators and models proposed in this paper is verified.

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杨景旭,羿应棋,张勇军,等.基于加权分布熵的配电网电动汽车并网运行风险分析[J].电力系统自动化. DOI:10.7500/AEPS20190303007.

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  • 收稿日期:2019-03-03
  • 最后修改日期:2019-09-05
  • 录用日期:2019-07-16
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