Phase identification method based on clustering algorithm and network search

A phase recognition and network search technology, applied in character and pattern recognition, calculation, computer parts and other directions, can solve the problems of three-phase unbalance of electric energy meter, inaccurate calculation of line loss, etc., achieve accurate judgment, ensure accuracy, achieve the effect of management

Pending Publication Date: 2020-05-19
中能瑞通(北京)科技有限公司
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[0004] For this reason, the embodiment of the present invention provides a phase identification method based on clustering algorithm and

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  • Phase identification method based on clustering algorithm and network search
  • Phase identification method based on clustering algorithm and network search

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Embodiment

[0029] This embodiment discloses a phase identification method based on clustering algorithm and network search, the method is:

[0030] S1. Carry out data collection, and carry out data collection on the data of the phase recognition model;

[0031] S2. Perform data processing. For missing data in the sample data, use data deletion or completion to process, and for abnormal data, use the 3σ rule to eliminate outliers;

[0032] S3. Establish a phase recognition model, and use the density-based clustering algorithm DBSCAN to determine the connectivity between samples from the perspective of sample density, and form clusters based on connectable samples to obtain the final cluster;

[0033] S4. Model evaluation and prediction, cross-validate the data set for phase recognition model evaluation, find the optimal parameters of the model, and add a new data set to the model for model prediction.

[0034] In the process of data collection, the marketing file data and the voltage cur...

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Abstract

The embodiment of the invention discloses a phase recognition method based on a clustering algorithm and network search, and the method comprises the steps: S1, carrying out the data collection, and carrying out the data collection of data of a phase recognition model; s2, performing data processing, processing missing data in the sample data in a data deleting or complementing manner, and removing abnormal values from abnormal data by adopting a 3 sigma criterion; s3, establishing a phase recognition model, judging the connectivity between the samples from the perspective of sample density based on a density-based clustering algorithm DBSCAN, and forming a clustering cluster based on the connectable samples to obtain a final cluster; and S4, performing model evaluation and prediction, performing cross validation on the data set for phase identification model evaluation, finding out optimal parameters of the model, and adding a new data set into the model to perform model prediction. According to the invention, the problems of three-phase imbalance and inaccurate line loss calculation of the existing electric energy meter are solved.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of electric power measurement, in particular to a phase identification method based on clustering algorithm and network search. Background technique [0002] The inaccurate phase of the energy meter makes the distribution load not evenly distributed to each phase, resulting in three-phase imbalance, which reduces the utilization rate of the distribution transformer and makes the line loss remain high. The line loss in the station area is a measure of the line power supply. In order to ensure the accuracy of line loss calculation, the important basic data of efficiency and control of power theft, in the area management, accurate energy meter phase is required as data support. Due to the untimely update of the information of the low-voltage station area, there are problems of inaccurate file phase records and three-phase imbalance in the management of the station area. This situation ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06K9/62
CPCG06Q10/0639G06Q50/06G06F18/23
Inventor 黄昌宝余雪鹏郑英刚张宏峰许耀良李云峰柳英王海生王有祥
Owner 中能瑞通(北京)科技有限公司
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