基于蚁群算法的电能质量扰动源容错性定位方法
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TM712

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国家重点研发计划资助项目(2017YFB0902800)


Fault-tolerant Location Method for Power Quality Disturbance Source Based on Ant Colony Optimization
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National Key R & D Program of China(No2017YFB0902800)

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    摘要:

    文中提出一种基于蚁群算法的电能质量扰动源定位方法,解决了现有方法在扰动方向信息出现误判或畸变信号时扰动源定位不准确的问题,实现了扰动源在扰动方向信息不可靠时的准确定位。该方法根据配电网拓扑结构建立扰动源定位数学模型,把扰动源定位问题看作全局寻优问题,利用蚁群算法的正反馈和容错性优势,快速定位扰动源位置。Matlab仿真结果证明所述方法在部分监测点扰动方向信息有误情况下能够实现电能质量扰动源的快速准确定位。

    Abstract:

    In order to solve the problem that the existing method is inaccurate in positioning the disturbance source location when the disturbance direction information is misjudged or distorted,a positioning algorithm of power quality disturbance source based on the ant colony optimization is proposed in this paper.The positioning method realizes accurate positioning of the disturbance source when the disturbance direction information is unreliable.According to the topology structure of the distribution network,an mathematical optimization model of the disturbance source location is established.It makes the disturbance source localization problem transform into a global optimization problem.Using the positive feedback and fault tolerance advantages of the ant colony optimization, the location of the disturbance source is quickly and accurately located. The simulation by Matlab results show that the proposed method can accurately locate the disturbance source more quickly under the condition that some disturbance monitoring data is wrong.

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焦青,王俊江,刘煜,等. 基于蚁群算法的电能质量扰动源容错性定位方法[J]. 科学技术与工程, 2020, 20(13): 5156-5160.
Jiao Qing, Wang Junjiang, Liu Yu, et al. Fault-tolerant Location Method for Power Quality Disturbance Source Based on Ant Colony Optimization[J]. Science Technology and Engineering,2020,20(13):5156-5160.

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  • 收稿日期:2019-08-11
  • 最后修改日期:2019-10-14
  • 录用日期:2019-11-10
  • 在线发布日期: 2020-06-09
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