Linear change relation identification method based on singular spectrum analysis
A technology of relationship recognition and singular spectrum, which is applied in the field of electric energy data processing, can solve the problems of unclear data characteristics and huge data volume
Pending Publication Date: 2021-12-14
GUANGXI POWER GRID CORP
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[0004] The purpose of the present invention is to provide a method for identifying line-variation relationships based on singular spectrum analysis, which can solve the problems of huge data volume and inconspicuous data characteristics in the process of applying electric energy data in the prior art
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[0029] Embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings.
[0030] Embodiments of the present disclosure are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The present disclosure can also be implemented or applied through different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in the present disclosure, a...
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The invention discloses a line change relation identification method based on singular spectrum analysis. The method comprises the following steps of: obtaining electric energy data of a switch on the outlet side of each line and a distribution transformer; preprocessing the acquired electric energy data; performing feature extraction on the electric energy data through singular spectrum analysis to obtain feature data of each category; performing clustering analysis on the feature data through a hierarchical clustering algorithm to obtain a clustering result; and integrating clustering results of the electric energy data to judge the relationship between the transformer and the lines. According to the method, the feature data of the electric energy data are effectively extracted through the singular spectrum analysis method, then clustering analysis is carried out on the feature data through a hierarchical clustering algorithm to obtain a clustering result, the category between the lines and the transformer is judged, and accurate recognition of the line change relation is achieved.
Description
technical field [0001] The invention relates to the technical field of electric energy data processing, in particular to a method for identifying a line-variation relationship based on singular spectrum analysis. Background technique [0002] The power supply relationship between the 10kV feeder and the 380V distribution transformer is the line-to-line relationship. The line-to-line relationship is the primary factor affecting the accuracy of line loss calculation in the line loss management of power grid companies. Accurate line change relationship can realize accurate line loss statistics and provide data support for loss reduction and efficiency increase. [0003] However, due to reasons such as incorrect file maintenance and frequent adjustment of distribution network operation mode in daily operation and maintenance, the line change relationship in the system file is inconsistent with the field. In such cases, it is often necessary to find out the abnormality of the li...
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Login to View More IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/231G06F18/22
Inventor 李捷吴一鸣唐佳誉杨舟陈俊徐植何涌
Owner GUANGXI POWER GRID CORP