Load identification method based on support vector machine and V-I curve characteristics

A support vector machine, load recognition technology, applied in character and pattern recognition, pattern recognition in signals, computer parts, etc. Effect

Inactive Publication Date: 2020-04-17
ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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Problems solved by technology

[0004] The purpose of the present invention is to provide a load identification method based on support vector machines and V-I curve fea...

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  • Load identification method based on support vector machine and V-I curve characteristics
  • Load identification method based on support vector machine and V-I curve characteristics
  • Load identification method based on support vector machine and V-I curve characteristics

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Embodiment Construction

[0056] The technical solutions in the present invention are clearly and completely described below in combination with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0057] Such as figure 1 As shown, the load recognition method based on support vector machine and V-I curve feature provided by the present invention comprises the following steps:

[0058] S1. Obtain electricity consumption data and perform preprocessing; electricity consumption data includes: current, voltage and power, etc., all obtained from smart meters installed at the household end. There is noise in the original data (power consumption data) obtained from the smart m...

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Abstract

The invention discloses a load identification method based on a support vector machine and V-I curve characteristics, relates to the technical field of load identification systems, and overcomes the defect of possible false identification in non-intrusive load identification by using a combination of a V-I curve and harmonic waves as a load mark. A plurality of load marks are formed by using shapecharacteristics of a V-I curve track, the correct rate of load identification is increased, and the defect that a V-I curve is difficult to identify a small load is overcome by being assisted by harmonic characteristic identification obtained by Fourier transform of an electrical quantity; the nonlinear classification problem is better processed through SVM-based load identification, and dimensionality disasters cannot be caused; according to the method, machine learning of small samples can be processed, the problems of local minimum, over-learning and under-learning are avoided, the load identification result is more accurate, and the identification degree is improved. In addition, the method takes a non-intrusive mode as a starting point, and has the characteristics of economy, practicability and easiness in implementation.

Description

technical field [0001] The invention relates to the technical field of load identification systems, in particular to a load identification method based on support vector machines and V-I curve features. Background technique [0002] With the maturity of the power system network and the rapid development of artificial intelligence, the smart grid has also emerged with the combination of the two, and has slowly grown. In the planning of the future smart grid, it is developing towards a fully automated power transmission network, which can monitor and control each user and grid node, and ensure that all nodes are connected in the entire transmission and distribution process from the power plant to the end user. The ability of bi-directional flow of information and electrical energy. Therefore, this requires a good interaction between the grid terminal and the user to achieve better electricity management and services. With the non-intrusive load monitoring system (Non-intrusi...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/04G06F2218/08G06F2218/12G06F18/2411
Inventor 谢雄威蒋雯倩梁捷杨舟卿柏元李刚韦杏秋李金瑾陈珏羽林秀清
Owner ELECTRIC POWER RES INST OF GUANGXI POWER GRID CO LTD
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