Gray-Markov chain-based distribution network state estimation method

A Markov chain and state estimation technology, applied in the direction of AC network circuits, electrical components, circuit devices, etc., can solve the problems of poor estimation effect, large amount of calculation, and insufficient convergence, and achieve the advantages of estimation stability, The effect of fast calculation speed and high estimation accuracy

Inactive Publication Date: 2018-01-26
CHINA THREE GORGES UNIV
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Problems solved by technology

For the situation where there are a large number of branch current amplitude measurements, the estimation effect of this method is not good
The Chinese patent "CN105071388A" proposes "a distribution network state estimation method based on maximum likelihood estimation", which can solve the problem that the pseudo load measurement of the distribution network does not obey the normal distribution, and improves the rapid decomposition of the complex state estimation Three-phase state estimation method for distribution network. This method uses complex power as the base value to adjust the accuracy of electricity in the distribution network. However, this algorithm has a large amount of calculation and the convergence is not good enough.
However, this method has poor ability to identify bad data, so its estimation accuracy cannot be guaranteed.

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[0022] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments, and the implementation flow chart is as follows figure 1 shown.

[0023] A distribution network state estimation method based on gray-Markov chain, the specific implementation method is as follows:

[0024] Step 1: Consider the power flow state of the distribution network as a gray system, and set the known historical measurement value sequence as x (0) =[x (0) (1), x (0) (2),...,x (0) (n)];

[0025] Perform first-order accumulation on the historical measurement value sequence to generate a new sequence:

[0026] x (1) =[x (1) (1), x (1) (2),...,x (0) (k),...x (0) (n)]

[0027] In the formula: k means the kth data; n is the total number of data.

[0028] Step 2: Use the obtained new sequence to generate the sequence M next t...

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Abstract

The invention relates to a gray-Markov chain-based distribution network state estimation method. According to the method of the invention, the power flow state of a power distribution network is regarded as a gray system; the fitting and prediction result of measurement information is obtained through adopting a gray model; a residual sequence between fitting data and actual data is calculated; the residual sequence is analyzed, so that a residual transfer vector is obtained, and a state transition probability matrix is constructed; and a state estimation result is obtained according to historical state data, the last residual value and the change rate of the residual transfer vector. According to the method of the invention, the gray theory and the Markov chain are combined, so that the gray-Markov chain-based distribution network state estimation method of the invention has high precision, high calculation speed, low memory consumption and high practical value.

Description

technical field [0001] The invention relates to a distribution network state estimation method based on a gray-Markov chain, and belongs to the technical field of power system operation and control. Background technique [0002] As in the smart distribution network, as the core section of "situation awareness tool", state estimation has important research value. State estimation is to use the redundancy of the real-time measurement system to improve the system accuracy, automatically eliminate the error information caused by random interference, and estimate or predict the operating state of the system. It mainly deals with the high-level space problem on a certain time section. The role of state estimation in the power system has been generally recognized by people in the power industry. Now the DMS in my country's transmission network has successfully used state estimation technology, but this technology is still in its infancy in the distribution network. Due to the dif...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00
Inventor 陶渊康振南雷小林李乾坤王毛毛
Owner CHINA THREE GORGES UNIV
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