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Clustering-based typical daily load curve selecting method and device

A daily load and curve technology, applied in the field of typical daily load curve selection device based on clustering, which can solve problems such as inability to represent and dissimilar curve shapes

Active Publication Date: 2011-08-17
CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The daily load rate is a characteristic index of the load curve, but it cannot characterize the entire curve shape
by figure 2 For example, the two curves shown in the figure are the daily load curves of the unified load of a certain place in a certain year, and the corresponding daily load rates are very close, both between 0.81 and 0.82, but the shapes of the two curves are very dissimilar , so there are limitations in selecting only the daily load rate or other single daily load characteristic indicators

Method used

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  • Clustering-based typical daily load curve selecting method and device
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  • Clustering-based typical daily load curve selecting method and device

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Embodiment Construction

[0037] The solutions of the present invention are described in detail below in conjunction with the examples.

[0038] Such as image 3 As shown, it is a schematic flow chart of an embodiment of the method for selecting a typical daily load curve based on clustering in the present invention, such as image 3 As shown, it includes the steps:

[0039] Step S101, read in the daily load curves within the preset time span, and proceed to step S102;

[0040] Step S102, determine the number k of typical daily load curves, and enter step S103;

[0041] Step S103: select k daily load curves as the collection center, and enter step S104;

[0042] Step S104, respectively calculate the distance between each daily load curve and each collection center, classify each daily load curve into the collection where the nearest collection center is located, and enter step S105;

[0043] Step S105, calculate the sample mean value of each set, use the sample mean value as the new set center of t...

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Abstract

The invention provides clustering typical daily load curve selecting method and device. The method comprises the following steps: reading a curve within a time span, determining the number k of typical daily load curves, and selecting k curves as a set center; classifying the curves into a set (S3) nearest to the set center; and calculating a new set center, determining whether the new set center is the same as the previous set center or not, determining whether the difference with the previous target function is within a preset range or not if the new set center is not the same as the previous set center, returning to the S3 if the difference is not within the preset range, and defining the curves in each set nearest to the set center as the typical daily load curves if the new set center is the same as the previous set center or the difference of the previous target function is within the preset range. The method ensures that all the daily load curves are grasped on the basis of a clustering thought; the generated samples inside the set are similar, while the samples in different sets are different, so that the discovery of a global distribution mode is facilitated, single index calculation or averaging processing is avoided, the influence of random and subjective factors can be reduced, and the sensitivity of directly extracting a single curve on bad data is reduced, therefore, the method is more suitable for discovering potential regulation of large-scale data, and can be used for characterizing the whole regulation better.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a cluster-based typical daily load curve selection method and a cluster-based typical daily load curve selection device. Background technique [0002] In the power system, the load curve refers to the curve of the power load in the power system changing with time, the abscissa is time, the ordinate is generally active power, and the daily load curve refers to the load curve within a day. figure 1 2 shows two daily load curves in the unified load data of a certain province in a certain year, and the sampling interval is 15 minutes, so each daily load curve consists of 96 points. The daily load rate is an index that characterizes the characteristics of the daily load, defined as the ratio of the daily average load to the daily maximum load. [0003] The typical daily load curve is the most representative curve among the daily load curves within a certain period of time. It is the basi...

Claims

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Application Information

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IPC IPC(8): G06F19/00H02J3/00
Inventor 李智勇陈志刚徐政付超张仕鹏刘云
Owner CHINA ENERGY ENG GRP GUANGDONG ELECTRIC POWER DESIGN INST CO LTD
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