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Loss reduction measure making method based on synchronous line loss abnormity identification

A loss reduction measure and line loss technology, applied in neural learning methods, character and pattern recognition, data processing applications, etc., can solve problems such as the mismatch of influencing factors

Pending Publication Date: 2020-03-31
NORTH CHINA ELECTRIC POWER UNIV (BAODING) +4
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem mainly solved by the present invention is the mismatch between the line loss reduction measures for the same period and the factors affecting the higher actual line loss. It provides a loss reduction measure formulation method based on the abnormal identification of the line loss for the same period, which can carry out the line loss data for the same period. Identify abnormalities, and formulate corresponding technical or management loss reduction measures based on the identification results, which can effectively solve the current unreasonable loss reduction measures

Method used

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  • Loss reduction measure making method based on synchronous line loss abnormity identification
  • Loss reduction measure making method based on synchronous line loss abnormity identification
  • Loss reduction measure making method based on synchronous line loss abnormity identification

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Embodiment approach

[0019] The present invention proposes a method for formulating loss reduction measures based on abnormal line loss identification in the same period. A high line loss area in Gansu is selected for simulation verification. The specific technical implementation plan is as follows:

[0020] 1. Select the historical sample data of the area. In this example, select 200 sample data, including 10 normal line loss data, 10 abnormal line loss data, and 180 unknown abnormal data.

[0021] 2. According to the calculation method of step 2 of the technical solution proposed in the content of the invention, the characteristic index values ​​of the selected samples are calculated respectively, and the normal data (1 type sample) of known characteristic values ​​and the abnormal data (2 type samples) of known characteristic values ​​are obtained. , unknown abnormality data (3 model samples) with known eigenvalues ​​are shown in the following table:

[0022] (1) 1 model sample data

[0023] T...

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Abstract

The invention discloses a loss reduction measure making method based on synchronous line loss abnormity identification, which comprises the following steps: identifying synchronous line loss anomaly data, and taking corresponding loss reduction measures according to an identification result; extracting the fluctuation characteristics of the same-period line loss abnormal data through statistical analysis; constructing a same-period line loss electric quantity matrix, and performing singular value decomposition on the matrix to extract low-rank features of same-period line loss abnormal data; performing gray correlation analysis on the same-period line loss allocation data, and extracting homodromous correlation characteristics of the same-period allocation line loss abnormal data; and obtaining the characteristic that the rank sum of the abnormal data of the same-period line loss deviates from the normal data is approximately equal by analyzing the difference between the theoreticallycalculated line loss and the same-period line loss. According to the method, the characteristics of the same-period line loss abnormal data can be effectively extracted, the corresponding neural network is constructed for training, the same-period line loss abnormal data can be effectively identified, corresponding loss reduction measures can be taken according to different identification results,and the loss reduction efficiency can be effectively improved.

Description

technical field [0001] The invention relates to the formulation of loss reduction measures for power system transmission lines, in particular to a method for formulation of loss reduction measures based on abnormal identification of simultaneous line loss, and belongs to the technical field of power grid management and control. Background technique [0002] With large-scale new energy connected to the power system, in order to improve the operation efficiency of the entire power industry and optimize the allocation of resources in the whole society, inter-provincial interconnection, regional interconnection, and national interconnection have become an inevitable development trend. It has become the norm to send electricity to areas with large demand for electricity in the central and eastern regions, and large-scale power / electricity exchange increases the loss of the power grid; There is a problem of large line loss and power loss. [0003] For the problem of high line los...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/08G06Q10/06G06Q50/06
CPCG06N3/08G06Q10/06393G06Q50/06G06F18/23
Inventor 陈鑫鑫刘文颖王维洲王方雨张柏林夏鹏王耿张雨薇拜润卿张尧翔邵冲许春蕾刘福潮聂雅楠李宛齐冉忠胡阳朱丽萍李潇郇悦
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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