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Power load clustering analysis method, device and equipment

A cluster analysis, power load technology, applied in character and pattern recognition, data processing applications, instruments, etc., can solve the problems of high calculation dimension of daily load data, large error in calculation results, low calculation efficiency, etc. Volatility and Uncertainty, Dimensionality Reduction, Reduced Effect of Redundant Computation

Active Publication Date: 2019-06-25
GUANGDONG POWER GRID CO LTD +2
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Problems solved by technology

[0007] The embodiment of the present application provides a power load cluster analysis method, device and equipment, which are used to solve the problem of using the original daily load data in the existing power load cluster analysis method, which causes information redundancy and calculation efficiency. Low, and technical problems with large errors in calculation results due to time uncertainty and volatility

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  • Power load clustering analysis method, device and equipment
  • Power load clustering analysis method, device and equipment
  • Power load clustering analysis method, device and equipment

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Embodiment Construction

[0039] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0040] For ease of understanding, see figure 1 , an embodiment of a power load cluster analysis method provided by the present application, including:

[0041] Step 101. Select a daily load curve from the preprocessed daily load curve data of power user i as the data center, calculate the shortest curved path between the data center and other daily load curve data...

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Abstract

The invention discloses a power load clustering analysis method, device and equipment. The method comprises: calculating the shortest bending path of the daily load curve data of the power consumer through a dynamic time bending path algorithm; the minimum average distance is calculated, the data representation of the power consumer is determined, effective integration of historical load data of the power consumer is completed, redundant calculation of repeated information is reduced, calculation expenditure is effectively saved, and the problem that the performance of a traditional clusteringalgorithm is reduced due to time fluctuation and uncertainty of the load is solved to a certain extent. According to a preset fuzzy margin, compression dimension reduction processing is carried out on the data representation set, so that the calculation dimension is greatly reduced, and the calculation efficiency is improved. Therefore, the method provided by the invention solves the technical problems of high calculation dimension by using the original daily load data, information redundancy, low calculation efficiency and large calculation result error caused by time uncertainty and volatility in the existing power load clustering analysis method.

Description

technical field [0001] The present application relates to the technical field of power load management, and in particular to a power load cluster analysis method, device and equipment. Background technique [0002] With the continuous development of social economy, the industry categories of power users are increasing, and the differences in the characteristics of daily load curves of users in the same industry are also gradually increasing. Development of a generation power system and energy internet. [0003] In order to analyze the load of power users of the same nature, it is usually necessary to perform cluster analysis on the daily load data of power users, but the traditional clustering algorithm directly applied to the cluster analysis of the daily load curve of power users often has the following disadvantages: [0004] (1) The directly collected original daily load curve data has a high dimensionality, because it contains a large amount of historical data, the len...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q50/06
Inventor 吴亚雄曹华珍高崇唐俊熙李浩王天霖何璇李阳张俊潇陈沛东
Owner GUANGDONG POWER GRID CO LTD
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