基于支路有功功率的配电网拓扑辨识方法
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TM711

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国家自然科学基金面上项目(51577086);南京工程学院大学生科技创新基金项目(TB20201608)


Distribution network topology identification method based on branch active power
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General program of National Natural Science Foundation of China (51577086); Science and technology innovation fund project of Nanjing Institute of Technology (TB20201608)

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    摘要:

    针对配电网量测冗余度低且开关变化频繁、识别出正确的拓扑结构存在困难的现状,文中提出一种基于支路有功功率的配电网拓扑结构识别方法。该方法基于支路有功功率残值的大小选择可能断开的支路,得到若干种可能拓扑结构;采用相同量测值,在每个可能拓扑结构下分别进行状态估计并计算匹配目标函数值,从可能拓扑结构集中找到可能性最高的拓扑结构作为可信拓扑结构,降低配电网拓扑结构分析的解空间;并引入快速潮流直流法进行状态估计,提高了算法的计算效率,从而把此类配电网拓扑检错问题转换为以量测值匹配度高为目的的配电网重构问题。算例表明,该方法合理有效,快速简便,且在带有较大量测误差的情况下也有很好的适应性。

    Abstract:

    In view of the low measurement redundancy and frequent switch changes in distribution network, it is difficult to identify the correct topology. A topology identification method based on branch active power is proposed. Based on the residual value of active power, he method selects the branches that may be disconnected and obtains several possible topologies. The state estimation is carried out under each possible topology with the same measurement value, and the matching objective function value is calculated. The topology with the highest possibility is found from the set of possible topologies as the trusted topology. This method greatly reduces the solution space of distribution network topology analysis by calculating the branch active power residual value, and introduces the fast power flow direct current method to estimate the state, which improves the calculation efficiency of the algorithm, thus transforming this kind of distribution network topology error detection problem into a distribution network reconfiguration problem with high matching degree of measured values. The example shows that the method is reasonable, effective, fast and simple, and has good adaptability in the case of large measurement error.

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刘迪,张强,吕干云,吴嘉璐,徐慧敏.基于支路有功功率的配电网拓扑辨识方法[J].电力工程技术,2021,40(3):92-98

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  • 收稿日期:2020-12-09
  • 最后修改日期:2021-01-18
  • 录用日期:2020-12-24
  • 在线发布日期: 2021-06-11
  • 出版日期: 2021-05-28