Method and device used for power load aggregation

A power load and clustering technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as poor availability of clustering results, inability to process boundary objects, and inability of clustering methods to deal with nonlinear data, etc. Achieve the effect of improving clustering accuracy, strong intelligibility, and reducing impact

Inactive Publication Date: 2013-04-17
AEROSPACE SCI & IND SHENZHEN GROUP
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Problems solved by technology

[0005] Aiming at the defects of the prior art, the purpose of the present invention is to provide a method for electric load clustering, which aims to solve the problem that the clustering method in the prior art cannot handle

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  • Method and device used for power load aggregation
  • Method and device used for power load aggregation
  • Method and device used for power load aggregation

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Embodiment Construction

[0031] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0032] Power load changes are affected by many factors, such as heavy industrial load, light industrial load, mining industry load, agricultural load, tertiary industry load, municipal life load, etc. These loads are also affected by weather, temperature, season, etc., short-term There will be large differences in the changing shape of the power load curve. According to the characteristics of this electric load change, the rough kernel clustering algorithm is used to cluster the historical data with similar load curves into one group.

[0033] In the embodiment of the present invention, conside...

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Abstract

The invention discloses a method and device used for power load aggregation. The method and device used for power load aggregation comprise S1, acquiring sample data of n transformer substation comprehensive load static characteristics; S2, mapping the sample data to a Hilbert space through a gaussian kernel function and acquiring samples; S3, confirming an initial aggregation center by selecting K samples in the samples; S4, performing aggregation calculation on mapped samples in a core space by adopting a k-means algorithm, and assigning each sample to closest-type upper and lower approximations according to an upper and lower approximation method; S5, dynamically adjusting weights omega1, omegabnr according to a current iteration; S6, calculating a Jomega value according to an arithmetic convergence criteria, and judging whether |Jomega(t)- Jomega(t-1)|<= epsilon or t>=tmax, if yes, then generating a final collection and finishing, if not, then entering into S7; and S7, enabling t=t+1, reconfirming an aggregation center and transferring to S4. The method and device used for power load aggregation is simple, easy, fast and effective, aggregation results are reasonable, and has important significance on practicability of load modeling research.

Description

technical field [0001] The invention belongs to the technical field of electric load clustering, and more specifically relates to a method and device for electric load clustering. Background technique [0002] In power system analysis, the clustering of substation load characteristics is to group different substations of the same power grid and substations with similar or similar characteristics in different periods, such as substations dominated by heavy industrial loads, substations dominated by municipal life, Substation mid-month and quarterly load curves, daily and quarterly load curves, etc. The same model is used to describe the characteristics of each category, and a comprehensive load model that can effectively describe the characteristics of substations can be established through clustering. As far as the practicality of load modeling is concerned, the classification and synthesis of load characteristics are of great significance, which can reduce the work and lab...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 姚丽娟
Owner AEROSPACE SCI & IND SHENZHEN GROUP
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