面向故障恢复的配电网实时拓扑辨识技术研究
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(国网江苏省电力有限公司 泰州供电分公司,江苏 泰州 225300)

作者简介:

杨乐(1981),男,江苏泰州人,硕士,主要从事配电网拓扑辨识等方面工作。

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中图分类号:

TM73;TP183

基金项目:

国网江苏省电力有限公司科技项目(J2022100)


Research on real time topology identification technology for fault restoration in distribution network
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(Taizhou Power Supply Branch, State Grid Jiangsu Electric Power Co., Ltd., Taizhou 225300, China)

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    摘要:

    随着分布式能源接入配电网,其结构愈发复杂,故障率也有所增加。配电网故障恢复有助于快速恢复供电,提高电力系统的稳定性和可靠性。配变智能终端(distribution transformer supervisory terminal unit,TTU)的大量安装,为配网故障恢复提供了数据支撑。重点研究了考虑TTU数据量测误差的配电网实时拓扑辨识技术。首先,在分析TTU量测数据的基础上,构建了以功率残差最小为目标的拓扑辨识优化方程。然后,针对优化方程中的混合整数规划问题以及约束的非线性化问题,将方程转换为二次规划问题使其方便求解,并提出了对个别误差较大的量测数据进行修正的方法。最后,通过算例验证了所提出的拓扑辨识算法的鲁棒性和性能以及误差修正算法的有效性。

    Abstract:

    With the integration of distributed energy into the distribution network, its structure has become increasingly complex and the failure rate has also increased. Fault restoration of distribution networks helps to restore power supply, improve the stability and reliability of power systems. The extensive installation of distribution transformer supervisory terminal units(TTU)provides data support for network fault restoration. The real-time topology identification technology of distribution networks considering TTU data measurement errors is focused on. Firstly, based on the analysis of the TTU data, an optimization equation with the target of minimizing the error is constructed.Secondly, considering the mixed-integer programming problem and the nonlinear item in the optimization equation, the equation is converted into a quadratic programming problem to make it possible to solve it with the standard method. Finally, case studies are conducted to verify the effectiveness of the proposed algorithm.

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引用本文

杨 乐,徐正宏,朱 莹,常 颢,鞠 玲.面向故障恢复的配电网实时拓扑辨识技术研究[J].电力需求侧管理,2025,27(3):113-120

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  • 收稿日期:2025-03-03
  • 最后修改日期:2025-04-08
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  • 在线发布日期: 2025-06-25
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