基于故障全信息的自适应模糊融合选线技术
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国家自然科学基金资助项目(51504253);江苏省自然科学基金资助项目(BK20161185)


A Self-adapted Fault Line Selection Method Based on Complete Data Fusion Theory
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Project Supported by National Natural Science Foundation of China(51504253) ,Natural Science Foundation of Jiangsu Provience(BK20161185)

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    摘要:

    小电流接地系统发生单相接地故障时,由于故障信号微弱、运行方式变化、故障类型复杂等因素的影响,小电流接地系统故障选线一直是困扰现场的一个技术难题。综合运用故障后零序电压电流的全信息,基于信息融合技术,利用群体比幅比相法、五次谐波比相法、小波分析法进行故障后的稳态及暂态信息进行综合分析,采用模糊理论构造出了各方法判据的隶属度函数以及权系数的隶属度函数,提高选线方法的自适应能力,提高选线的成功率。在PSCAD/EMTDC中搭建了单端辐射状配电网模型,仿真计算结果验证了该方法的高可靠性以及适用性。

    Abstract:

    Due to the factors such as weak fault-induced signals, change of neutral grounding mode, and complicated fault conditions, fault line selection in non-effectively grounded system has been a technical challenge in actual field. Based on data fusion technology, the information of fault-generated zero-sequence voltages and currents is fully analyzed by means of colony amplitude comparison-based, the fifth harmonics-based and wavelet analysis-based methods. Fuzzy theory is employed to create membership functions of the criteria and weights of each method, which improves the adaptive ability and success rate. A single-terminal radial distribution grid model is constructed in PSCAD/EMTDC to test the performance of the presented method and the calculation results demonstrate the high reliability and applicability of the method.

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沈兴来,杨智.基于故障全信息的自适应模糊融合选线技术[J].电力工程技术,2017,36(6):90-95

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  • 收稿日期:2017-06-30
  • 最后修改日期:2017-08-25
  • 录用日期:2017-04-12
  • 在线发布日期: 2017-11-27
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