Distribution network maintenance time optimization method and system

An optimization method and distribution network technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve problems such as complicated equipment status evaluation items, large influence of human experience, and difficulty in collecting status quantities

Pending Publication Date: 2018-06-19
CHINA ELECTRIC POWER RES INST +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems that the state evaluation method of the above-mentioned power distribution equipment basically follows the concept and method of state evaluation of power transmission and transformation equipment, it is difficult to collect state quantities, the equipment state evaluation items are complicated, and are greatly influenced by human experience

Method used

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  • Distribution network maintenance time optimization method and system
  • Distribution network maintenance time optimization method and system
  • Distribution network maintenance time optimization method and system

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Embodiment 1

[0120] The invention provides a method for optimizing the timing of distribution network maintenance based on the equipment health index. The flow chart is as follows Figure 7 shown, including the following steps:

[0121] Collect the relevant data of each feeder equipment in the distribution network to generate the maintenance plan of the distribution network;

[0122] The distribution network maintenance plan is set as a chromosome, and the genetic algorithm is used to solve the pre-established distribution network state maintenance model to obtain the optimal maintenance time of each feeder;

[0123] The relevant data of each feeder equipment of the distribution network includes: the health index of each feeder equipment of the distribution network.

[0124] The health index includes a scoring interval, and based on the scoring, the equipment on each feeder of the distribution network is classified into grades and maintenance methods are set; the scoring interval is (0,5]...

Embodiment 2

[0234] There are two 10kV substations in the research area to supply power to users, of which the main transformer capacities of station A and station B are 3×40MVA and 2×31.5MVA respectively. The contact relationship between the 10kV distribution network feeders of Station A and Station B is as follows: figure 2 shown.

[0235] The research scope selects the 3# distribution feeder of station A and the 5# distribution feeder of station B in the distribution network, of which the 3# feeder is an overhead line and the 5# feeder is a cable line, and the equipment to be inspected is determined according to the health index of each equipment, as shown in the table 5 Bold equipment; the corresponding load forecast curve is as follows image 3 , Figure 4 shown.

[0236] Table 5 Equipment models and health index scores

[0237]

[0238] For the convenience of calculation, the average value of the corresponding interval lengths is taken as the maintenance duration of each main...

Embodiment 3

[0257] Based on the same inventive concept, the present invention also provides a distribution network maintenance timing optimization system based on equipment health index, including:

[0258] The collection module is used to collect relevant data of each feeder equipment in the distribution network to generate a maintenance plan for the distribution network;

[0259] A solution module, configured to set the distribution network maintenance plan as a chromosome, and use a genetic algorithm to solve the pre-established distribution network state maintenance model to obtain the optimal maintenance time of each feeder;

[0260] The relevant data of each feeder equipment of the distribution network includes: the health index of each feeder equipment of the distribution network.

[0261] Further: also include building blocks, said building blocks include:

[0262] The first construction unit is used to establish the distribution network maintenance objective function;

[0263] ...

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Abstract

The invention relates to a distribution network maintenance time optimization method and system. Related data of each feeder device in the distribution network are acquired to generate a distributionnetwork maintenance scheme; and the distribution network maintenance scheme is set as a chromosome, a genetic algorithm is adopted to solve the pre-built distribution network state maintenance model to obtain the optimal maintenance time of each feeder, wherein the related data of each feeder device in the distribution network comprise the health index of a device on each feeder of the distribution network. The technical scheme provided in the invention solves the problem of large deviation of reliability prediction evaluation decision making under a small time scale, and can also guide and support the distribution network state maintenance work with a feeder, a substation or an associated device combined, and leap of a scientific, quantitative and economic maintenance technology is realized.

Description

technical field [0001] The invention relates to the technical field of distribution network operation maintenance and asset management, in particular to a distribution network maintenance timing optimization method and system. Background technique [0002] As the last link in the power system that is directly connected to users, the distribution network is directly related to the reliability of power supply by the operating status of power distribution equipment. Maintenance of power distribution equipment is an important measure to ensure its safe and stable operation. Reasonable arrangement of maintenance can not only ensure the reliability of power supply to the greatest extent, but also improve the economic benefits of power grid enterprises. Since the maintenance of power distribution equipment is restricted by factors such as the equipment's own operating status, load level, external weather, maintenance resources, grid structure, and reliability requirements; therefor...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06N3/08
CPCG06N3/086G06Q10/04G06Q50/06
Inventor 周莉梅盛万兴马钊郭化诚刘伟韦涛亢超群常方圆尚宇炜苏剑
Owner CHINA ELECTRIC POWER RES INST
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