CN108666928B - Power communication station patrol optimization method - Google Patents
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- 238000004891 communication Methods 0.000 title claims abstract description 76
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- 238000005457 optimization Methods 0.000 title claims description 20
- 238000012417 linear regression Methods 0.000 claims abstract description 16
- 238000007689 inspection Methods 0.000 claims abstract description 14
- 238000012423 maintenance Methods 0.000 claims abstract description 11
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02G—INSTALLATION OF ELECTRIC CABLES OR LINES, OR OF COMBINED OPTICAL AND ELECTRIC CABLES OR LINES
- H02G1/00—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines
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Abstract
S1, analyzing the reliability of a local power communication station by a multiple linear regression formula, wherein s is β0+β1x1+β2x2+…βnxn(ii) a Obtaining regression parameters by calculating and fitting through SPSS, and substituting the regression parameters to obtain a reliability formula; s2, substituting information of all electric power communication sites in the local area into a reliability formula to calculate, and obtaining risk degree scores of all electric power communication sites: s1、s2、…、sn(ii) a S3, arranging the power communication stations according to the risk degree scores, and determining the number of the stations needing operation and maintenance through a threshold score S'; s4, putting the electric power communication stations with the distances smaller than the distance threshold L and the risk degree scores larger than S' into a set C ═ P0，P1，…，Pn}; s5, acquiring the number N of patrol electric power communication stations; and S6, after the patrol is finished, updating the patrol time, changing the score of the power communication station by adjusting the factors influencing the station operation reliability, and returning to the step S2. The method can improve the inspection efficiency.
Description
Technical Field
The invention relates to a power grid equipment maintenance method, which can be used in the field of power communication industry, in particular to a power communication station inspection optimization method.
Background
Along with the continuous development of a power grid, the number of operation and maintenance power communication stations and equipment is increased by operation and maintenance personnel and people, at present, all stations and equipment are managed according to a standard in a maintenance mode, stations are inspected in a patrol mode one by one, the stations are inspected in a patrol mode without primary and secondary inspection, important stations do not perform key patrol, the reliability of the station equipment is reduced, the patrol period of partial stations is too short, and patrol resources are wasted.
The existing patrol system or method does not perform differentiation and hierarchical management on communication stations, and resources cannot be divided according to actual needs, so that the maintenance pressure of the power communication station is high, and the maintenance efficiency is low.
For example, chinese patent (application publication No. CN106056250A) discloses "a method for inspecting a power distribution network based on path optimization". Step 1, establishing a power distribution network patrol model based on path optimization and a constraint condition thereof, wherein the power distribution network patrol model takes years as spans and takes the shortest patrol total time as a target; and 2, solving a power distribution network inspection target model based on path optimization by adopting a genetic algorithm to obtain an optimal inspection path of the power distribution network. In the process of making the power distribution network equipment patrol method, the problems that patrol periods of different types of power distribution equipment are inconsistent, patrol period requirements of different regions on the equipment are inconsistent and the like are comprehensively considered, relevant theoretical contents and engineering practice of logistics are combined, an optimal solution is searched through a genetic algorithm on the basis of considering the patrol periods of the power distribution equipment in different types and regions, and the working efficiency and the resource utilization rate of workers can be improved.
For example, a Chinese patent (No. CN203134103U) discloses a user patrol information management system, belonging to the field of power utilization management. The system comprises an electricity utilization user information management platform, a patrol optimization management platform and a handheld patrol mobile terminal; the electricity utilization user information management platform comprises an electricity utilization user information management platform server and an electricity utilization user information database; the patrol optimization management platform comprises a PC terminal which can exchange data with the handheld patrol mobile terminal; the patrol mobile terminal is a handheld PDA; an internal and external network isolation gateway is arranged between the electricity user information management platform and the patrol optimization management platform; and a data transmission interface is arranged between the patrol optimization management platform and the handheld patrol mobile terminal. The first identity recognition module is arranged on the handheld patrol mobile terminal, and the second identity recognition module is arranged on the patrol optimization management platform. The intelligent level of the whole information management system is improved by means of the information collection and data transmission functions of the handheld intelligent mobile equipment. The method can be widely applied to the field of user management of the power supply system.
The inspection system and the inspection method are complex in operation process, and the inspection efficiency of the electric power communication station still cannot be improved well.
Disclosure of Invention
The invention provides a patrol optimization method for an electric power communication station, which is used for solving the problem that the patrol efficiency of the existing communication station is poor.
The invention is realized by the following technical scheme:
a patrol optimization method for a power communication station comprises the following steps:
s1, analyzing the reliability of the local power communication station through a multiple linear regression formula, wherein the multiple linear regression formula is that s is β0+β1x1+β2x2+…βnxn；
Wherein S is a risk degree score of the local power communication site, β0、β1、β2、…、βnAs a multiple linear regression parameter, x1、x2、…、xnFactors influencing the operation reliability of the station;
obtaining regression parameters by calculating and fitting through SPSS, substituting the regression parameters into a multiple linear regression formula, and further obtaining a reliability formula;
s2, substituting information of all power communication stations in the local area into a reliability formula to calculate to obtain each power communicationRisk degree score of credit site: s1、s2、…、sn；
S3, arranging all the electric power communication stations according to the risk degree scores, and determining the number of the stations needing operation and maintenance through a threshold score S';
s4, electric power communication station P with maximum score0Calculating the electric power communication station and the station P with the risk degree score larger than S' by taking the geographic coordinate as the center0The distance between the power communication stations is less than a set distance threshold value L, and the risk degree score is greater than S', and the power communication stations are put into a set C ═ P0，P1，…，Pn}；
S5, acquiring the number N of inspection stations;
and S6, after the patrol is finished, updating the patrol time, changing the score of the power communication station by adjusting the factors influencing the station operation reliability, and returning to the step S2.
According to the power communication station tour optimization method, the factors influencing the operation reliability of the station include but are not limited to station classification, operation time, pollution level and last tour time parameter.
According to the method for optimizing patrol of the electric power communication stations, the first N electric power communication stations in the set C are taken from large to small according to the risk degree score, and when the number of the electric power communication stations in the set C is smaller than N, all the electric power communication stations in the set C are patrolled.
According to the method for optimizing the patrol of the power communication station, the range of the distance threshold value L is between 5 and 20 Km.
According to the electric power communication station tour optimization method, the score S' ranges from 60 to 90.
Compared with the prior art, the invention has the advantages that:
1. the invention has the advantages of convenient calculation and use in the optimization process and convenient operation.
2. The method comprehensively considers various factors influencing the operation reliability of the electric power communication stations, optimizes the patrol periods of different electric power communication stations, integrates resources to realize the optimal patrol effect of the electric power communication stations, improves patrol efficiency and reduces the burden of personnel.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
FIG. 1 is a flow chart of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention.
As shown in fig. 1, the method for optimizing tour of power communication station in this embodiment includes the following steps:
s1, analyzing the reliability of the local power communication station through a multiple linear regression formula, wherein the multiple linear regression formula is that s is β0+β1x1+β2x2+…βnxn；
Wherein S is a risk degree score of the local power communication site, β0、β1、β2、…、βnAs a multiple linear regression parameter, x1、x2、…、xnFactors influencing the operation reliability of the station;
obtaining regression parameters by calculating and fitting through SPSS, substituting the regression parameters into a multiple linear regression formula, and further obtaining a reliability formula;
s2, substituting information of all electric power communication sites in the local area into a reliability formula to calculate, and obtaining risk degree scores of all electric power communication sites: s1、s2、…、sn；
S3, arranging all the electric power communication stations according to the risk degree scores, and determining the number of the stations needing operation and maintenance through a threshold score S';
s4, electric power communication station P with maximum score0Geography of placeElectric power communication station with coordinates as center and risk degree score larger than S' and station P0The distance between the power communication stations is less than a set distance threshold value L, and the risk degree score is greater than S', and the power communication stations are put into a set C ═ P0，P1，…，Pn}；
S5, acquiring the number N of inspection stations;
and S6, after the patrol is finished, updating the patrol time, changing the score of the power communication station by adjusting the factors influencing the station operation reliability, and returning to the step S2.
Specifically, the explanation will be given by taking 21 power communication stations in south-johnson of Shandong as an example.
1. The maintenance period of the power communication station is related to various factors such as station classification, operation time, pollution level and last inspection time, and the reliability of the power communication station is analyzed by using a multiple linear regression formula. The stations in table 1 all reach a state requiring patrol.
TABLE 1 site situation Table
Wherein, the common voltage classes comprise four classes of 500kV, 220kV, 110kV and 35kV, and the values are respectively set as 4, 3, 2 and 1; common levels of contamination range from heavy to light values of 5, 4, 3, 2, 1.
TABLE 2 results of multiple Linear regression analysis Coefficientsa
Performing multiple linear regression analysis by using SPSS software to obtain regression parameter values:
β0＝13.207，β1＝10.307，β2＝5.180，β3＝0.353，β4when the power station reliability is 0.343, the final power station reliability formula is:
the S-13.207 +10.307 × voltage level +5.180 × pollution level +0.353 × run time +0.343 × distance last round trip time.
2. All 21 sites were scored using the above reliability formula and ranked from top to bottom, resulting in table 3 below.
Meanwhile, screening is carried out by using a set threshold score S' of 85.
TABLE 3 site Risk level score
| Site name | Score of | Site name | Score of | Site name | Score of | Site name | Score of |
| P2 | 95 | P16 | 83 | P0 | 73 | P9 | 66 |
| P13 | 95 | P8 | 79 | P20 | 72 | P7 | 65 |
| P10 | 94 | P1 | 75 | P4 | 71 | P11 | 60 |
| P3 | 91 | P5 | 81 | P12 | 70 | ||
| P6 | 88 | P14 | 81 | P15 | 69 | ||
| P18 | 86 | P17 | 80 | P19 | 67 |
The threshold value score S' ranges from 60 to 90, and the number of all power communication stations in a local area and the patrol workload are comprehensively adjusted.
3. Station P with the largest score2Finding the distance P by taking the geographic coordinate as the center2And (5) putting the stations with the scores larger than S' and smaller than L & lt10 km into a set C & ltC & gt & ltP & gt & lt/P & gt according to the score values2，P10，P6，Pn18}. And adjusting the distance threshold value L within the range of 5-20 Km by integrating the number of all power communication stations in the local area and the inspection workload.
4. Comprehensively inspecting the workload requirement, acquiring the number N of the electric power communication stations to be inspected to be 4, and then aligning to { P2，P10，P6，Pn18And inspecting the 4 power communication stations.
5. And updating the patrol time of the patrol station, recalculating the risk degree scores of all the electric power communication stations in the region, and returning to the step 2.
The method comprehensively considers various factors influencing the operation reliability of the electric power communication stations, optimizes the patrol periods of different electric power communication stations, integrates resources to realize the optimal patrol effect of the electric power communication stations, improves patrol efficiency and reduces the burden of personnel.
The technical contents not described in detail in the present invention are all known techniques.
Claims (4)
1. A patrol optimization method for a power communication station is characterized by comprising the following steps:
s1, analyzing the reliability of the local power communication station through a multiple linear regression formula, wherein the multiple linear regression formula is that s is β0+β1x1+β2x2+…βnxn；
Wherein S is a risk degree score of the local area power communication site, β0、β1、β2、…、βnAs a multiple linear regression parameter, x1、x2、…、xnIn order to influence the operational reliability factors of the station, the operational reliability factors of the station include: site grading, running time, pollution level and last inspection time parameter;
obtaining regression parameters by calculating and fitting through SPSS, substituting the regression parameters into a multiple linear regression formula, and further obtaining a reliability formula;
s2, substituting information of all electric power communication sites in the local area into a reliability formula to calculate, and obtaining risk degree scores of all electric power communication sites: s1、s2、…、sn；
S3, arranging all the power communication stations according to the risk degree scores, and determining the number of the stations needing operation and maintenance through a threshold score S';
s4, electric power communication station P with maximum score0Calculating the power communication station and the station P with the risk degree score larger than S' by taking the geographic coordinate as the center0The distance between the power communication stations is less than a set distance threshold value L, and the risk degree score is greater than S', and the power communication stations are put into a set C ═ P0，P1，…，Pn}；
S5, acquiring the number N of inspection stations;
and S6, after the patrol is finished, updating the patrol time, changing the score of the power communication station by adjusting the factors influencing the station operation reliability, and returning to the step S2.
2. The electric power communication station patrol optimization method according to claim 1, wherein the first N electric power communication stations in the set C are selected from large to small according to risk degree scores, and when the number of the electric power communication stations in the set C is less than N, all the electric power communication stations in the set C are patrolled.
3. The patrol optimization method for the power communication station as claimed in claim 1, wherein the distance threshold L is in a range of 5 to 20 Km.
4. The patrol optimization method for the power communication station according to claim 1, wherein the score S' ranges from 60 to 90.
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| CN104765970A (en) * | 2015-04-22 | 2015-07-08 | 国网青海省电力公司检修公司 | Method for evaluating high-altitude power equipment states |
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| CN104765970A (en) * | 2015-04-22 | 2015-07-08 | 国网青海省电力公司检修公司 | Method for evaluating high-altitude power equipment states |
| CN105760956A (en) * | 2016-02-19 | 2016-07-13 | 国网河北省电力公司经济技术研究院 | Method for predicting power grid reliability based on linear-regression analysis |
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