改进灰色关联分析在台区智能识别中的应用研究
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Improvement on application of gray correlation analysis in intelligent transformer area recognition
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    摘要:

    配电台区用户接线方式繁多,线路拓扑结构和特征多样化,相邻台区之间存在通信串扰的问题,导致台区识别不准确,电能表抄读失败,严重制约着台区线损的准确计算,甚至引发供用电双方的计量纠纷,为解决上述问题,确保台区识别的准确性,针对台区智能电能表线路电压特征,提出了一种改进灰色关联分析的台区识别新方法,该方法克服了现有台区识别技术中存在的不足,通过分析未识别或跨台区电能表与已明确台区归属的电能表之间线路电压的关联度,摆脱了一定的主观判断性,实现台区智能识别。经实例测试表明,该方法能在复杂环境条件下准确进行台区识别,具有较高的实用价值。

    Abstract:

    Distribution area users connection mode is various, circuit topology structure and the characteristics of diversification, there is communication crosstalk between adjacent transformer area, result in inaccurate transformer area recognition, electricity meter reading failure, seriously restricts the transformer area accurate calculation of line loss, and even cause electricity supply and consumption disputes, in order to solve the above problems, ensure the accuracy of transformer area recognition, According to the characteristics of the line voltage of the smart electricity meter in transformer room, a new method that improved grey relational analysis is proposed.The method overcoming the defects of the existing transformer room recognition technology, through analysis line voltage correlation of electricity meter between known and unknown or cross transformer, got rid of a certain degree of subjective judgment, realizing intelligent transformer recognition.The test results show that this method can be used to transformer room recognition accurately under complex environment, and it has great practical value.

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余鹤,夏水斌,魏伟,孙秉宇,董重重,鄢烈奇.改进灰色关联分析在台区智能识别中的应用研究[J].电子测量技术,2019,42(8):32-35

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  • 在线发布日期: 2021-08-16
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