Distributed correlation Kalman filtering-based power system harmonic estimation method

A Kalman filter and power system technology, applied in the field of harmonic estimation of power systems based on distributed correlation Kalman filter, can solve problems such as poor anti-disturbance performance and high requirements for communication networks

Inactive Publication Date: 2015-08-12
HEFEI UNIV OF TECH
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Problems solved by technology

[0013] The purpose of the present invention is to solve the problem that the existing Kalman filter method has high requirements on the communication network and poor anti-disturbance performance, and then provides a power system harmonic estimation method based on distributed correlation Kalman filter

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  • Distributed correlation Kalman filtering-based power system harmonic estimation method
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  • Distributed correlation Kalman filtering-based power system harmonic estimation method

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[0065] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Here, the performance of the Kalman filter method and the distributed correlation Kalman filter method of the present invention in the application of power system harmonic voltage state estimation are compared, which shows that the method of the present invention can solve the high communication cost of the existing Kalman filter method. The perturbation performance is poor, and the estimation accuracy is not high.

[0066] In order to simulate the actual grid environment, the present invention uses the IEEE-14 node power system to carry out simulation verification on Matlab2012b, and the simulation system is as follows figure 2 shown. The line model is equivalent to ∏ type. The generator adopts a three-phase synchronous motor model, the rated power of the generator is 100MVA, the rated voltage is 230KV, and the frequency is s...

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Abstract

The invention relates to a power system harmonic state estimation method, in particular, a distributed correlation Kalman filtering-based power system harmonic estimation method. The method includes the following steps of: (1) acquiring response signal data z(n) of a power system; (2) establishing a state space model of power system response sampling signals; (3) determining the value of the correlation coefficient zeta ij of neighbor nodes; (4) obtaining a state vector estimation value X^(K) at a time point k based on recursive computation through adopting a distributed correlation Kalman filtering algorithm; and (5) extracting the amplitude and phase of harmonics at the time point k. According to the distributed correlation Kalman filtering-based power system harmonic estimation method provided by the invention, the characteristics of the harmonic state of the power system are fully considered, and therefore, compared with traditional Kalman filtering communication, the distributed correlation Kalman filtering-based power system harmonic estimation method has the advantages of low communication cost, excellent anti-disturbance performance and higher estimation accuracy, and thus, a better data base can be provided for the elimination of harmonic components. The method provided by the invention can be conveniently applied to the harmonic state estimation of the power system.

Description

technical field [0001] The invention relates to the field of harmonic state estimation methods, in particular to a power system harmonic estimation method based on distributed correlation Kalman filtering. Background technique [0002] In recent years, with the development of power electronics technology, widely used nonlinear loads have injected a large amount of power harmonics into the power grid, resulting in deterioration of the power factor of the grid load, voltage distortion, malfunction of protection components, and reduced life of components. series of questions. Therefore, the harmonic analysis of power system has become a hot issue widely concerned by scholars at home and abroad, and has very important practical significance. [0003] In the early days, the commonly used static harmonic state estimation methods mainly included weighted least squares estimation algorithm and singular value decomposition algorithm. The time continuity of harmonic injection, power...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R23/16
Inventor 王建平赵婵娟孙伟朱程辉穆道明徐晓冰
Owner HEFEI UNIV OF TECH
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