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Distribution Network Fault Particle Swarm Location Algorithm Based on Multi-point Synchronous Measurement Data

A technology of simultaneous measurement and positioning algorithm, applied in fault location, fault detection according to conductor type, measurement of electricity and other directions, can solve the problems of limited application range of distribution network lines, inaccurate single-ended positioning method, etc. Effect

Active Publication Date: 2019-08-06
SHANGHAI MUNICIPAL ELECTRIC POWER CO +2
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Problems solved by technology

The accuracy of the single-ended positioning method is often not accurate enough. Due to the limitation of the distribution network monitoring point distribution of the double-ended positioning method, considering that there may not be two monitoring points in the upstream and downstream of the fault line section, in the actual distribution network line The scope of application is also limited

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  • Distribution Network Fault Particle Swarm Location Algorithm Based on Multi-point Synchronous Measurement Data
  • Distribution Network Fault Particle Swarm Location Algorithm Based on Multi-point Synchronous Measurement Data
  • Distribution Network Fault Particle Swarm Location Algorithm Based on Multi-point Synchronous Measurement Data

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Embodiment Construction

[0052] The present invention will be further elaborated below by describing a preferred specific embodiment in detail in conjunction with the accompanying drawings.

[0053] For a single-phase line, set G 0 , L 0 、C 0 , R 0 are the conductance, inductance, capacitance and resistance of the given line unit length respectively; ω is the angular frequency of the system, and the propagation coefficient γ and characteristic impedance Z of the line are obtained c They are:

[0054]

[0055] In the formula, j represents the imaginary unit.

[0056] The transmission line equation is established by two monitoring points 1 and 2 on a branch line as:

[0057]

[0058] In the formula, l represents the distance between two monitoring points.

[0059] If there are N monitoring points in the entire distribution network system, the measured voltage and current values ​​are (u 1 , u 2 , u 3 ...... u N ) and (i 1 i 2 i 3 ...i N ), the fault point to ground voltage is u f . ...

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Abstract

The present invention discloses a multi-point synchronous measurement data-based distribution network fault particle swarm optimization algorithm. The algorithm is designed for single-phase grounding faults. According to the algorithm, at first, two-point synchronous sampling data are adopted to correct line parameters, and then, fault components which are obtained after phase-mode transformation decoupling are adopted to list a fault point differential equation, and a particle swarm optimization algorithm is adopted to solve an optimal solution. Compared with monitoring data obtained through using a single-ended positioning or double-ended positioning method, multi-point monitoring data can provide richer fault information, and fault location can be achieved through using just the information of 1 / 4 of a cyclic wave after a fault occurs. The positioning accuracy of the algorithm can be ensured, and the efficiency of the positioning algorithm is improved. The method is applicable to a neutral point direct grounding distribution network.

Description

technical field [0001] The invention relates to the field of fault diagnosis methods of distribution network lines, in particular to a distribution network fault particle swarm locating algorithm based on multi-point synchronous measurement data. Background technique [0002] my country's medium and low voltage distribution network is dominated by overhead lines, the structure of the line is complex, there are many branches, and it is prone to failure. According to statistics, during the operation of the power system, power outages caused by distribution network faults account for more than 95% of the total power outages, of which 70% are caused by single-phase ground faults or busbar faults. In order to realize the rapid isolation of distribution system faults and restore the normal operation of the distribution network system, it is necessary to accurately and quickly realize the fault location of the distribution network. [0003] Particle Swarm Optimization (PSO) is an ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08
CPCG01R31/086G01R31/088Y02E60/00
Inventor 陈洪涛刘亚东盛戈皞江秀臣
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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