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Power user clustering method and device based on k-means

A technology of power users and clustering methods, applied in the field of power, can solve problems such as inaccurate clustering of power users

Active Publication Date: 2020-11-03
ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
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Problems solved by technology

[0004] Based on this, it is necessary to address the problem of inaccurate clustering of power users and provide a method and device for clustering power users based on K-means to improve the accuracy of clustering of power users

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  • Power user clustering method and device based on k-means
  • Power user clustering method and device based on k-means
  • Power user clustering method and device based on k-means

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Embodiment Construction

[0022] see figure 1 , providing an embodiment of a K-means-based power user clustering method, including the following steps:

[0023] S110: Obtain the power consumption load of power users at each preset time point.

[0024] The power system supplies power to power users, and each power user has its own power load, and power users have their corresponding power loads at each moment, for example, power user A at the first preset time of a day The power load of the point is 10. In this embodiment, the number of preset time points can be 24, that is to say, each preset time point can be preset, for example, a certain moment in each hour of a day can be selected as the preset time point, thereby 24 preset time points can be set. In this embodiment, by obtaining the power consumption load of the power user at each preset time point, that is, the power consumption load of the power user at each preset time can be obtained. The power consumption load corresponding to the 24 pres...

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Abstract

The present invention disclosed a KME method and device based on K average, and sorted the electricity load of each electric user at each preset time point to obtain the electricity load of the power users corresponding to the power users corresponding to each preset time point.The set, and obtain the number of presets of the number of clusters, select the electrical load corresponding to the ranking of the ranking according to the power loads of each usage, and obtain the electrical loads corresponding to each ranking and initialize it to the preset agglomerationThe number of clustering centers of the class is used to use the K average cluster algorithm to make a cluster of each power users.It is no longer a randomly selected power load at each preset time point as the initialization cluster center, but according to the electrical loads corresponding to each ranking, the presets are constructedThe new electric load and initialization cluster center of each preset time point can rationally initialize the cluster center. After the initialization cluster center is initialized, the clustering class can be performed to obtain a more accurate cluster result and improve the accuracy of the cluster.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a K-means-based power user clustering method and device. Background technique [0002] In the process of power system providing power to users, different power users may have different power consumption conditions, and the classification of power users has an important impact on the economic analysis, operation and planning of power systems. At present, the commonly used clustering method for power users is the K-means (K-means) clustering algorithm, which mainly selects K data from the data set S as the center of the initial clustering, and connects each data in the data set to the center closest to the center The central clustering of . First randomly select K data as the initial center, calculate the distance from each data to each selected center, assign the data to the nearest center to form a class, calculate the mean value of each class, and execute the loop repea...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/06G06K9/62
CPCG06Q10/0637G06Q50/06G06F18/23213
Inventor 李秋硕李鹏孙宇军赵云钱斌
Owner ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
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