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Distribution network voltage abnormal data detection method and device

A data detection device, voltage abnormality technology, applied in data processing applications, neural learning methods, biological neural network models, etc., can solve problems such as multiple abnormal data

Pending Publication Date: 2021-05-18
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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Problems solved by technology

[0004] This application discloses a method and device for detecting abnormal data of distribution network voltage, which is used to solve the problem of how to detect abnormal data in the database of the distribution network voltage acquisition system in the prior art. Technical issues detected

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  • Distribution network voltage abnormal data detection method and device
  • Distribution network voltage abnormal data detection method and device
  • Distribution network voltage abnormal data detection method and device

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Embodiment Construction

[0052] In order to solve the technical problem of how to detect abnormal data in the distribution network voltage data stored in the database of the distribution network voltage acquisition system in the prior art, how to detect the abnormal data, this application discloses a A distribution network voltage abnormal data detection method and device.

[0053] The first embodiment of the present application discloses a method for detecting abnormal data of distribution network voltage, see figure 1 In the schematic diagram of the workflow shown, the method for detecting abnormal distribution network voltage data includes:

[0054] Step S101, acquiring historical distribution network voltage data, and generating a historical voltage data set.

[0055] In practical applications, in order to ensure the reliability of the constructed distribution network voltage prediction model, at least 10,000 actual voltage measurement values ​​sequentially arranged in order of measurement time a...

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Abstract

The invention relates to the technical field of power system big data analysis, and discloses a distribution network voltage abnormal data detection method and device. The method comprises the following steps: firstly, training a Bi-LSTM neural network model by using historical distribution network voltage data, and establishing a distribution network voltage prediction model containing a preset rule; inputting a to-be-detected voltage data set containing a plurality of actual voltage measurement values into the distribution network voltage prediction model to obtain voltage prediction values which correspond to the actual voltage measurement values and conform to a preset rule, and determining a voltage error value according to the corresponding actual voltage measurement values and the voltage prediction values; and further determining a voltage error standard deviation value, and determining whether the actual target voltage measurement value is abnormal data or not according to the correlation between the target voltage error value and the voltage error standard deviation value. According to the method, the abnormal data in the power distribution network data acquisition system can be effectively detected, and powerful technical data support is brought to various aspects of the operation process of the power distribution network.

Description

technical field [0001] The present application relates to the field of power system big data analysis technology, in particular to a method and device for detecting abnormal data of distribution network voltage. Background technique [0002] The distribution network voltage data is monitored and stored by the distribution network data acquisition system. The distribution network data acquisition system uploads distribution network voltage data every once in a while, so a large amount of historical distribution network voltage data will be accumulated in the database of the distribution network voltage acquisition system. The voltage data of the distribution network includes the actual measurement value of the voltage. If the actual measurement value of the voltage can be deeply excavated and researched, it can provide power consumption prediction, abnormal detection, safe operation, decision-making and scheduling during the operation of the distribution network. Bring stron...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06N3/04G06N3/08
CPCG06Q10/063114G06Q50/06G06N3/049G06N3/08G06N3/045
Inventor 覃日升郭成姜訸其他发明人请求不公开姓名
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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