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Three-phase distribution network topology identification method based on AMI measurement neighbor regression

An identification method and grid topology technology, applied in electrical components, circuit devices, AC network circuits, etc., can solve problems such as difficulty in troubleshooting, lack of effective maintenance of the topology of low-voltage distribution networks, and increasing the complexity of network connection relationships.

Active Publication Date: 2019-08-30
STATE GRID TIANJIN ELECTRIC POWER +2
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Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art, and propose a three-phase distribution network topology identification method based on AMI measurement neighbor regression, which solves the problem that the topology structure of the low-voltage distribution network usually lacks effective maintenance, and distributed power sources and new users Unordered access increases the complexity of the network connection relationship, leading to technical problems that are difficult to troubleshoot

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  • Three-phase distribution network topology identification method based on AMI measurement neighbor regression
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  • Three-phase distribution network topology identification method based on AMI measurement neighbor regression

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[0040] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0041] A three-phase distribution network topology identification method based on AMI measurement neighbor regression, such as figure 1 shown, including the following steps:

[0042] Power system analysis and calculation generally use node voltage as the state variable. Since a large number of random loads aggregate to have a comprehensive impact on each node voltage, it can usually be assumed that the node voltage obeys a multivariate normal distribution. However, the operating state of the power system is constantly changing, that is, the true value of the state variable is time-varying, so its mean value and covariance matrix are also time-varying, and it cannot be assumed that voltage amplitude measurements from multiple moments come from the same distribution.

[0043] Step 1. Establishing a model: If the voltage amplitude measurements at mul...

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Abstract

The invention relates to a three-phase distribution network topology identification method based on AMI measurement neighbor regression. The method is characterized by comprising the following steps of 1, establishing a model; 2, solving the model; and 3, inspecting suspicious line. The difference between the voltage amplitudes of adjacent nodes at adjacent moments is regarded as Gaussian random variable. A precision matrix estimation model of a Gaussian Markov random field composed of the respective random variables is established and is solved by using a neighbor regression algorithm. The three-phase distribution network topology corresponding to the Gaussian Markov random field is identified based on the sparseness of the estimated precision matrix. The conditional independence test iscarried out on the random variables of the nodes at both ends of the suspicious line to further verify whether the suspicious line really has a connection relationship. The method is simple in structure and good in practicability.

Description

technical field [0001] The invention belongs to the technical field of power system analysis and calculation, and relates to a three-phase distribution network topology identification method, in particular to a three-phase distribution network topology identification method based on AMI measurement neighbor regression. Background technique [0002] Accurate and reliable network topology is the basis of power system analysis and calculation. The transmission network data acquisition and monitoring system is relatively complete. Dispatchers can monitor the network topology in real time and identify topology errors through the state estimator. However, in the distribution network, especially low-voltage power distribution Distributed power supply, new users, out-of-order access of plug-and-play equipment, network expansion and reconstruction, etc. lead to frequent changes in distribution network topology and lack of maintenance, which brings great difficulties to timely processi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06F17/50
CPCH02J3/00G06F30/20H02J2203/20Y04S40/20
Inventor 刘超王旭东苏彦卓梁栋邢云琪李治张新民刘伟杨扬熊光普冷旭田刁长莹王尚王诗惠贾宓王雅文董祺宋广彦姜彤高强伟
Owner STATE GRID TIANJIN ELECTRIC POWER
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