Load cluster control method and system based on support vector machine

A technology of support vector machine and cluster control, applied in computer components, character and pattern recognition, data processing applications, etc., can solve problems affecting applications, differences, affecting load control management and power grid frequency dynamic characteristics analysis, etc., to achieve high consistent effect

Inactive Publication Date: 2018-12-18
NANJING CHSCOM ELECTRICAL TECH CO LTD +4
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the load classification method has not been unified. The power sector often classifies the load according to the characteristics of the production activities of the users. However, the characteristics of the production activities of the users are complex and varied. There is a certain degree of subjectivity in the process of load classification, and the load classification results are not very accurate. , which will directly affect load control management and dynamic characteristic analysis of grid frequency
The current load classification method has defects: users in the same industry may have different load characteristics, which cannot fully reflect changes and differences in grid frequency, resulting in inaccurate classification results and affecting further applications on this basis, etc.
The above clustering algorithms are basically aimed at linearly separable data spaces, so they are not suitable for processing those linearly inseparable data. It is difficult for them to obtain a suitable clustering profile and the desired number of clusters, and the effect of clustering is not enough. Stablize
[0005] To sum up, the objective shortcoming of the prior art lies in the lack of load classification and load clustering methods

Method used

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  • Load cluster control method and system based on support vector machine
  • Load cluster control method and system based on support vector machine
  • Load cluster control method and system based on support vector machine

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Experimental program
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Embodiment 1

[0049] figure 1 Flowchart of the load cluster control method based on the support vector machine provided by the embodiment of the present invention

[0050] refer to figure 1 , the load cluster control method based on support vector machine includes:

[0051] Step S101, collecting user electricity consumption data, and preprocessing the user electricity consumption data to obtain load data samples;

[0052] Specifically, the user's power consumption data includes load voltage, current, active power and reactive power data.

[0053] Step S102, establishing a training data set and a testing data set according to the load data samples;

[0054] Step S103, constructing a support vector machine classifier by using the training data set and the test data set, and improving the support vector machine to obtain a perfected support vector machine classifier;

[0055] Step S104, input the real-time load data into the improved support vector machine classifier, and output the classi...

Embodiment 2

[0072] The purpose of the embodiments of the present invention is to provide a load cluster control method based on a support vector machine, which mainly includes: collecting user power consumption data through a vector measurement unit PMU, performing load classification through a support vector machine SVM, and performing load clustering according to the load classification result control. Among them, the structural risk minimization principle adopted by the support vector machine makes its classification effect good, and its core classification content is to construct a best classification hyperplane in the sample.

[0073] The main technical idea of ​​the load classification method in the embodiment of the present invention is as follows: analyze the collected load data and select the optimal classification hyperplane to achieve the best load classification; further, use the support vector machine to generate a classification model based on the training data, to The load ...

Embodiment 3

[0091] Such as figure 2 A flow chart of a load cluster control method based on a support vector machine shown, including the following steps:

[0092] (1) Collect load data through PMU; the amount of collected information includes load voltage, current, active power, reactive power, etc.

[0093] (2) Upload the collected load data to the server and store it in the load database, remove bad data at the same time, and perform preprocessing such as normalization and standardization on the load data to eliminate the influence of these differences and obtain high-precision load data samples . The present invention adopts the maximum value of the daily load curve as a normalization parameter, and the specific operation is: record the load power at the hth moment as P h (h=1,2,…,24), the maximum power P max is the normalization factor, the load curve is normalized, that is, where x h Indicates the normalized value of load power at time h.

[0094] (3) Establish a training dat...

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Abstract

The invention provides a load cluster control method and system based on a support vector machine. The load cluster control method and the load cluster control system comprise the following steps: collecting user power consumption data and preprocessing the user power consumption data to obtain a load data sample; Training data set and test data set are established according to the load data sample; The support vector machine classifier is constructed by training data set and testing data set, and the support vector machine classifier is perfected after the support vector machine is perfected.Input the real-time load data to the improved SVM classifier, and output the classification results of the real-time load data. The invention adopts the support vector machine algorithm to classify the user loads in the electric power system, and on the basis of the classification, the load cluster centralized control is carried out, so that the load classification has scientific theoretical support and technical support, and the load classified into the same class is guaranteed to have high consistency.

Description

technical field [0001] The invention relates to the technical field of load classification control and analysis, in particular to a load cluster control method and system based on a support vector machine. Background technique [0002] At present, the controllable load connection of the load control system generally adopts the principle of proximity, and there is no in-depth research on the load connection level and load connection quantity. The load cluster control maintains the stability of the frequency and voltage of the power grid without affecting the characteristics of the power grid. , which is of great significance to the grid frequency stability control. Load control not only emphasizes control time requirements, but more importantly, it can achieve effective cluster control of loads that do not affect the characteristics of production activities; among them, load classification management can make load cluster control more reasonable and effective. Therefore, load...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q50/06
CPCG06Q50/06G06F18/2411
Inventor 张莉陈刚江叶峰王奎熊浩林文莉姚建国冯树海杨胜春闪鑫王毅
Owner NANJING CHSCOM ELECTRICAL TECH CO LTD
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