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

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...

AI Technical Summary

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 features, thereby overcoming the unreliable shortcomings of the existing non-invasive load identification that only relies on a single load feature

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