Data true value discrimination and deduction method for power communication system based on instable frequency distribution and frequency factor learning

A power communication system and frequency distribution technology, which is applied in the field of truth value discrimination and inference of power communication system data based on unsteady frequency distribution and frequency factor learning, can solve the problems of multi-source heterogeneous big data that do not have applicability and high cost

Active Publication Date: 2018-03-20
INFORMATION & COMMNUNICATION BRANCH STATE GRID JIANGXI ELECTRIC POWER CO +3
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Problems solved by technology

[0004] The above bad data detection based on the state estimation of power equipment has a certain effect in improving the quality of the local data of the off-site system, but it still does not have good applicability

Method used

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  • Data true value discrimination and deduction method for power communication system based on instable frequency distribution and frequency factor learning
  • Data true value discrimination and deduction method for power communication system based on instable frequency distribution and frequency factor learning
  • Data true value discrimination and deduction method for power communication system based on instable frequency distribution and frequency factor learning

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Embodiment Construction

[0081] Aiming at the problem of low data quality in the current power communication system, the present invention aims to establish a machine learning discrimination method for automatic distortion identification of power data, distortion bit and truth value reasoning. This method combines all data in the power communication system The format of the unsteady frequency distribution is unified into an unsteady frequency distribution, and then the feature learning is performed through the frequency implicit factor decomposition learning function, so that the unsteady frequency distribution points to the abnormal point in the power communication system, thereby judging the truth of the data.

[0082] For accomplishing the above object, the present invention is divided into four steps as a whole, and the overall flow chart is shown in the attached figure 1

[0083] Step 1 Extract the stable mode of the power dataset

[0084] This step is divided into three sub-steps

[0085] Step...

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Abstract

The invention provides a data true value discrimination and deduction method for a power communication system based on instable frequency distribution and frequency factor learning, and the method comprises the steps: firstly unifying the format of multi-source heterogeneous data in the power communication system through the frequency of the heterogeneous data; secondly unifying the formats of alldata in the power communication system into an instable frequency; thirdly carrying out the machine feature learning through a frequency factor learning function; fourthly carrying out the parameteroptimization solving of the frequency learning function through two label forms, and obtaining a prediction function; fourthly carrying out the learning and rule analysis of the collected mass monitoring data in the power communication system through a set true value discrimination method and the prediction function, enabling the distribution of instable frequency to point to an abnormality in thepower communication system, and judging the true value of data. Through the utilization of historical data, the method achieves the automatic locating of abnormal data and the compensation for the true value reasoning, so as to improve the data quality of the power communication system.

Description

technical field [0001] The invention belongs to the application research on the integration of electric power communication data, big data technology and machine learning technology. By substituting the unsteady frequency pattern into the frequency factor learning function for machine learning, the massive monitoring data collected in the electric power communication system can be realized. Learning and rule analysis, automatic positioning of abnormal data and completion of truth-value reasoning to improve data quality in power communication systems. Background technique [0002] The power communication system is a broad concept, which generally refers to the subsystems related to the power grid and the data information generated by them. With the continuous development of my country's power grid and the continuous expansion of electricity demand, the data generated in the power communication system is also increasing. At the same time, the speed of data generation is getting...

Claims

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Application Information

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IPC IPC(8): G06Q50/06G06N99/00
CPCG06Q50/06G06N20/00
Inventor 杨济海余放伍小生彭汐单巢玉坚蔡志民王华付萍萍李敏吕顺利邓伟李志鹏王泉啸李石君余伟李宇轩
Owner INFORMATION & COMMNUNICATION BRANCH STATE GRID JIANGXI ELECTRIC POWER CO
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