Improvement on application of gray correlation analysis in intelligent transformer area recognition
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TN01

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    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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History
  • Received:
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  • Online: August 16,2021
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