广东工业大学学报 ›› 2020, Vol. 37 ›› Issue (04): 51-58.doi: 10.12052/gdutxb.190125

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基于非线性互补约束的含DG配电网故障区段定位方法

荣泽成1, 陈璟华1, 郭壮志2, 许俊宁1, 陈友鹏1   

  1. 1. 广东工业大学 自动化学院，广东 广州 510006;
    2. 河南工程学院 电气信息工程学院，河南 郑州 451191
  • 收稿日期:2019-10-10 出版日期:2020-07-11 发布日期:2020-07-02
  • 作者简介:荣泽成(1995-)，男，硕士研究生，主要研究方向为电力系统安全运行与控制，E-mail：798500473@qq.com
  • 基金资助:
    国家自然科学基金资助项目(51707057)

A Fault Segment Location Method for DG Distribution Network Based on Nonlinear Complementary Constraints

Rong Ze-cheng1, Chen Jing-hua1, Guo Zhuang-zhi2, Xu Jun-ning1, Chen You-peng1   

  1. 1. School of Automation, Guangdong University of Technology, Guangzhou 510006, China;
    2. School of Electrical Information Engineering, Henan University of Engineering, Zhengzhou 451191, China
  • Received:2019-10-10 Online:2020-07-11 Published:2020-07-02

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摘要： 随着分布式电源的接入, 配电网故障过电流方向不再唯一, 传统的故障区段定位方法将不适用, 本文提出含分布式电源(Distributed Generation，DG)配电网故障区段定位的非线性互补约束光滑化模型和求解方法。基于逻辑关系的间接故障定位方法在数值稳定性和决策效率上的不足, 本文构建了可适应多个DG投切情况的基于代数关系的开关函数。2个仿真算例与对比实验表明, 含DG配电网故障区段定位的非线性互补约束光滑化方法在进行故障定位时具有较高的容错性能, 且能够实现多信息畸变下的准确定位, 由此可见本方案在数值稳定性上胜于智能算法。

关键词: 分布式电源, 故障区段定位, 配电网, 非线性互补约束光滑化模型

Abstract: With the access of distributed generation(DG), the direction of fault overcurrent in the distribution network is no longer unique, and hence the traditional method about fault section location will not be applicable. A nonlinear complementary constrained smoothing model is proposed with a solution method for fault section location in distribution networks with DG. Considering the deficiencies in numerical stability and decision efficiency based on logical relationship of the indirect fault location method, a switch function is constructed based on algebraic relationships that can adapt to multiple DG switching situations. Two simulation algorithms and contrast experiments show that nonlinear complementary constrained smoothing method of fault section location in distribution networks with DG has a high fault tolerance performance and can achieve exact orientation under multi-information distortion, and so it can be seen that our algorithm is superior to intelligence algorithms in numerical stability.

Key words: distributed generation, fault section location, distribution network, nonlinear complementary constrained smoothing model

中图分类号: 

  • TM771
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