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A Method for Topology Identification of Medium Voltage Distribution Network Based on Multiple Measuring Sections

An identification method and technology of power grid topology, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve problems such as distribution network topology errors, affecting power distribution system operation and management, frequent power grid transformation, etc., to achieve accuracy High and simple method

Active Publication Date: 2022-04-01
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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AI Technical Summary

Problems solved by technology

The large number of distribution network lines and frequent transformation of the power grid lead to frequent errors in the topology of the distribution network, seriously affecting the operation and management of the distribution system
[0003] The existing transmission network topology identification methods mainly include transfer flow method, innovation graph method, set theory method, artificial neural network algorithm, etc. The measured data is much less than that of the transmission network, and the above method cannot be directly applied to the topology identification of the distribution network

Method used

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  • A Method for Topology Identification of Medium Voltage Distribution Network Based on Multiple Measuring Sections
  • A Method for Topology Identification of Medium Voltage Distribution Network Based on Multiple Measuring Sections
  • A Method for Topology Identification of Medium Voltage Distribution Network Based on Multiple Measuring Sections

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Embodiment 1

[0044] see Figure 1~3 , the first embodiment of the method for identifying the topology of a medium-voltage distribution network based on multiple measuring sections provided by the present invention: a method for identifying the topology of a medium-voltage distribution network based on multiple measuring sections, including:

[0045] Obtain the real-time voltage amplitude measurement data of μPMU;

[0046] Establish topology change detection indicators and judge whether the topology changes;

[0047] Obtain measurement data of multiple time sections of the changed DSCADA and μPMU measurement devices;

[0048] Constructing a mixed integer quadratic programming topology identification model for multi-measurement sections with the goal of minimizing the residual error;

[0049] The nonlinear term in the mixed integer quadratic programming topology identification model is linearized by the big M method;

[0050] The topological structure of the distribution network is obtain...

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Abstract

The invention discloses a method for identifying the topology of a medium-voltage distribution network based on multiple measurement sections. and the measurement data of multiple time sections of the μPMU measuring device; the mixed integer quadratic programming topology identification model of multiple measurement sections is constructed with the goal of minimum residual error; the mixed integer quadratic programming The nonlinear items in the topology identification model are linearized; the measured data of the multiple time sections are input into the linearized mixed integer quadratic programming topology identification model to obtain the topology structure of the distribution network, which makes good use of the distribution network The network pseudo-quantity measurement and the limited quantity measurement are used for topology identification, which solves the problem of lack of redundant real-time measurement data and the inability to accurately identify the topology of the distribution network in the prior art. The method is simple and accurate.

Description

technical field [0001] The invention relates to the technical field of power system power distribution, in particular to a method for identifying the topology of a medium-voltage distribution network based on multiple measurement sections. Background technique [0002] Distribution network topology identification technology is an important application of distribution network state estimation. Correct topology is an important basis for distribution network security analysis and control decision-making. The large number of distribution network lines and frequent transformation of the power grid lead to frequent errors in the topology of the distribution network, which seriously affects the operation and management of the distribution system. [0003] The existing transmission network topology identification methods mainly include transfer flow method, innovation graph method, set theory method, artificial neural network algorithm, etc. The measurement data is much less than t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00
CPCH02J3/00Y02E60/00
Inventor 赵健许栋梁王炜韬尤振飞王小宇边晓燕周斌
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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