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Sensitivity matrix-based distribution network topology identification and line parameter identification method

A sensitivity matrix, distribution network topology technology, applied in the electrical field, can solve the problems of line parameter mismatch, distribution network line parameter change, electric shock accident, etc., to achieve strong adaptability and anti-interference, good parameter recognition accuracy, high recognition The effect of precision

Active Publication Date: 2019-09-27
HUNAN UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, the actual used capacity of the power transformer does not match the estimated used capacity, which will lead to overload or underload of the transformer.
Overloading may lead to safety problems. Many actual transformer fire accidents are caused by the temperature rise of the transformer exceeding the standard due to overloading.
Underloading will lead to an unreasonable ratio of funds, resulting in a waste of resources
In addition to transformers, there are many other problems caused by topology record errors, such as incorrect relay protection parameter setting, electric shock accidents during maintenance, etc.
In addition, there are often errors in line parameters in medium voltage networks
This is not only due to errors in registration. With the operation of the distribution network and the aging of the lines, the lines in the distribution network may have replacement or other undiscovered faults, etc., resulting in changes in the line parameters of the distribution network. Variety
The inaccuracy of the line parameters will cause the results such as reducing the network loss to be inconsistent with the theoretical calculation value, making the algorithm unable to be applied in practice

Method used

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  • Sensitivity matrix-based distribution network topology identification and line parameter identification method
  • Sensitivity matrix-based distribution network topology identification and line parameter identification method
  • Sensitivity matrix-based distribution network topology identification and line parameter identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] Such as figure 2 A sensitivity matrix-based distribution network topology identification and line parameter identification method is shown, the method may include the following steps:

[0052] 1. Obtain the measured values ​​of voltage, active power and reactive power of each transformer in the medium voltage distribution network.

[0053] 2. Use the least square method to calculate the sensitivity matrix of the network. The sensitivity matrix reflects the response of the network voltage to power changes, and the items in the matrix can be expressed as a linear combination of node impedances, and the combination method is related to the topology. Therefore, the topological relationship and line parameters in the network are retained, and the topological relationship identification and line parameter identification of the network can be completed accordingly.

[0054] 3. Invert the sensitivity matrix to obtain a topological connection adjacency matrix that can represe...

Embodiment 2

[0059] Such as figure 2 A sensitivity matrix-based distribution network topology identification and line parameter identification method is shown, the method may include the following steps:

[0060] 1. Obtain the measured values ​​of voltage, active power and reactive power of each transformer in the medium voltage distribution network.

[0061] 2. When it is known that there are multiple feeder starting points in the network, first calculate the correlation coefficient between each node in the network and the transformer at the starting point of the feeder line, and assign the nodes to each feeder line according to the principle of maximum value distribution. Thus, the node set of each feeder is obtained.

[0062] 3. For each feeder node set, use the least squares method to calculate the sensitivity matrix of the network. The sensitivity matrix reflects the response of the network voltage to power changes, and the items in the matrix can be expressed as a linear combinati...

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Abstract

The invention discloses a sensitivity matrix-based distribution network topology identification and line parameter identification method. Measurement data are used for sensitivity matrix solution, estimation on the sensitivity matrix through the data is realized, the method is different from the traditional method of firstly acquiring the topology relationship and the line parameters and then calculating the sensitivity matrix, and network topology identification and line parameter identification are realized based on the sensitivity matrix. In combination of a correlation method, initial feeder allocation under multiple feeders and exclusion of irrelevant nodes outside the network are realized.

Description

Technical field: [0001] The invention belongs to the field of electricity, and in particular relates to a sensitivity matrix-based distribution network topology identification and line parameter identification method. Background technique: [0002] With the development of electric power industry, my country's electric power industry has developed from simply focusing on the construction of power supply and transmission network to strengthening the construction of power distribution network while building power supply and transmission network. With the use of advanced measurement systems in power systems and the reduction in the cost of micro-synchrophasor measurement devices (μpmu), more and more data can be used for power system analysis, and the accuracy is getting higher and higher. At the same time, the large number of electric vehicle charging piles, high penetration rate, and access to large-scale distributed power sources make the structure of the distribution network...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G01R31/00G01R27/02
CPCH02J3/00G01R31/00G01R27/02
Inventor 张振宇李勇张俊曹一家
Owner HUNAN UNIV
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