CN114186856A - Identification method for key technical factors of power grid engineering construction - Google Patents

Identification method for key technical factors of power grid engineering construction Download PDF

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CN114186856A
CN114186856A CN202111514393.4A CN202111514393A CN114186856A CN 114186856 A CN114186856 A CN 114186856A CN 202111514393 A CN202111514393 A CN 202111514393A CN 114186856 A CN114186856 A CN 114186856A
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张旺
李国文
管维亚
吴霜
诸德律
张华�
田笑
管信俣
何烨
胡烜彬
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Economic and Technological Research Institute of State Grid Jiangsu Electric Power Co Ltd
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Abstract

The invention discloses a method for identifying key technical factors of power grid engineering construction, and belongs to the technical field of power systems. Comprises the following steps of 1: collecting main network engineering data of a power grid in the past year and constructing a sample set; step 2: constructing a power grid line construction engineering key technology identification model based on big data, inputting sample set data, and solving the contribution rate corresponding to a new index; and step 3: and calculating the influence degree of each index on the power grid line construction project, and selecting a plurality of indexes with the influence degrees at the front as key technologies. The method can further improve the standardization and effectiveness of the identification of the main key technology in the process of building the power grid line, more comprehensively and systematically reflect the key technical factors which have important influence on the specific power grid line project, and more reliably support the future operation decision of the power grid enterprise engineering technicians.

Description

Identification method for key technical factors of power grid engineering construction
Technical Field
The invention relates to the technical field of power systems, in particular to a method for identifying key technical factors for power grid engineering construction.
Background
With the rapid development of comprehensive national power of China, the power demand of the whole society is increased day by day, which leads to the increasing construction demand of the power system of China. The method has the advantages that the key technical factors of the power grid engineering construction can be accurately and effectively identified, so that the power grid enterprises can be helped to reasonably arrange the investment and distribution of construction resources and improve the operation conditions of the power grid enterprises, and technicians in the construction process can be helped to adjust the management gravity center in the construction process, so that the effects of optimizing project investment management, optimizing construction processes, shortening construction period, promoting comprehensive quality management and the like are achieved. Therefore, aiming at the problem that the identification difficulty of the key technology of the existing power grid engineering construction project is high, a method which is objective and reasonable and can effectively identify the key technical factors of the power grid engineering construction project under the background of big data is urgently needed, and the key technical factors of the power grid line construction are accurately identified.
Disclosure of Invention
The invention aims to provide a method for identifying key technical factors of power grid engineering construction, which is characterized by comprising the following steps of:
step 1: collecting main grid engineering data of the power grid in three aspects of overhead lines, cable lines and power transformation engineering of the power grid all the year round and constructing a sample set;
step 2: constructing a power grid engineering construction project engineering key technology identification model based on big data, inputting the sample set data in the step 1, and obtaining variance contribution rates corresponding to all indexes;
and step 3: and calculating the influence degree on the power grid engineering construction project according to the variance contribution rate of each index and the accumulated variance contribution rate of all the indexes, and then selecting the index with the former influence degree as a key technical factor according to the accumulated variance contribution rate.
The power grid main network engineering data in the step 1 comprise power indexes, civil engineering indexes, steel indexes and wire indexes;
wherein the power class indicator comprises a voltage class; the civil engineering indexes comprise the earth and stone volume, the foundation concrete volume, the tunnel length, the overall length of the cable building project, the direct burial length and the cable trench length; the steel material indexes comprise the tower material amount of the angle steel tower, the tower material amount of the steel pipe tower and the base steel material amount; the wire type indexes comprise the line length, the wire amount, the cable section, the number of cable intermediate joints and the calandria length.
The step 2 comprises the following substeps in sequence:
step 21: inputting main network engineering data x of power gridijPerforming normalization to obtain normalized data z from the mean μ and standard deviation σ of the data setijThe formula is as follows:
zij＝(xij-μ)/σ
wherein, the data value of the ith historical project corresponding to the jth index is xij(ii) a Mu and sigma are data x, respectivelyijThe mean value and the standard deviation of all the i numbers in the jth column; further, an initial data matrix Z is obtained as follows:
Figure BDA0003406278970000021
wherein m is the engineering quantity in the past year;
step 22: according to the normalized data z in step 21ijThe expression of the correlation coefficient matrix R, R is calculated as follows:
Figure BDA0003406278970000022
in the above formula, n is the number of preselected indexes, rijAnd expressing the correlation coefficient of the index i and the index j, wherein the calculation formula of the correlation coefficient is as follows:
Figure BDA0003406278970000023
in the above formula, the first and second carbon atoms are,
Figure BDA0003406278970000024
is the average value of the ith row of the matrix Z,
Figure BDA0003406278970000025
is the jth row mean value of the matrix Z;
step 23: calculating the eigenvalue and the eigenvector of the correlation matrix according to the correlation coefficient matrix R, and solving an eigen equation:
|λE-R|＝0
step 24: calculating the eigenvalue lambda according to the eigen equationjJ ═ 1,2, …, n, and feature vector E;
step 25: sorting according to the magnitude of the characteristic value to obtain a new sequence lambdaj', j is 1,2, …, n, and the contribution rate Q of each index is calculatedj：
Figure BDA0003406278970000031
The step 3 comprises the following substeps:
step 31: calculating the accumulative variance contribution rate Q 'of each index'j：
Figure BDA0003406278970000032
Step 32: selecting the first t principal components F with the cumulative variance contribution rate of more than 85 percent1,F2,…,FmThe method is used as a key technical factor of a power grid engineering construction project.
The invention has the beneficial effects that:
1. the method can solve the key technical factors of the power grid engineering construction project with the influence degree before on the basis of the principal component analysis method, and converts data information of various different forms into a data set which can be identified by a mathematical calculation method;
2. the method can effectively solve the problems of too many influencing factors, complex data form and the like in the evaluation process, and compared with the conventional statistical analysis method leading factor identification method, the method is more standardized, good in effectiveness and small in error.
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Fig. 1 is a flowchart of a method for identifying key technical factors for power grid engineering construction according to the invention.
Detailed Description
The invention provides a method for identifying key technical factors for power grid engineering construction, which is further explained by combining the accompanying drawings and specific embodiments.
Fig. 1 is a flowchart of a method for identifying key technical factors for power grid engineering construction according to the invention. The embodiment is described below with reference to fig. 1, and the embodiment identifies key technical factors for constructing a power grid line project according to the method of the invention for one of power grid projects, namely, the power grid line project, and the process is as follows:
(1) preliminarily selecting various possible technical factors, and standardizing data information;
step 1: acquiring 12 types of preselected technical factors of a certain provincial power grid overhead line project by inquiring a power transmission line construction standard, a past power transmission line construction quota and combining a power grid line project design and construction expert interview result; the method specifically comprises the following steps: voltage grade, earth and stone volume, geological conditions, angle steel tower material volume, steel pipe tower material volume, basic steel material volume, line length, line loop number, wire volume, single wire area, tangent tower number, and strain angle tower number are 12 technical factors.
The method for explaining the variables of the technical factors and determining and converting the data in the step 1 comprises the following steps:
a1: the voltage class refers to the rated voltage class of the overhead line in kilovolts (kV).
A2: the volume of earth and stone is the sum of the volume of earth and stone engineering (excavation engineering volume, filling engineering volume) and the unit is cubic meter (m)3)。
A3: the geological condition is a geological condition comprehensive value of an area where the overhead line is implemented, the geological condition mainly comprises frozen soil, common soil and loose sand, the proportion of the occupied area of various soil qualities in the whole construction area of a project obtained in the surveying process is calculated, the common soil proportion is multiplied by the weight 1, the loose sand proportion is multiplied by the weight 1.5, the frozen soil proportion is multiplied by the weight 2, then the multiplier results are added to obtain the geological condition comprehensive value which is a dimensionless unit and has a value range of [1,2 ].
A4, A5: the tower material amount of the angle steel tower and the tower material amount of the steel pipe tower are the tower material amounts of the angle steel tower and the steel pipe tower in the construction process, and the unit is ton (t).
A6: the amount of base steel is the amount of base steel spent in the construction process, and is expressed in tons (t).
A7: the line length is the total length of an overhead line in real physical space, and is measured in kilometers (km).
A8: the number of the circuit loops is the number of the cable loops.
A9: the amount of wire is the total mass of the transmission conductors of the line in tons (t).
A10: the area of a single wire is the wire cross-sectional area of the main wire used in the construction process, and the unit is square millimeter (mm)2)。
A11: the number of the tangent towers is the number of towers with unchanged angles through the wires in the engineering.
A12: the number of the tension-resistant angle towers is the number of the towers which need to be subjected to tension design and change through the angle of the lead in the engineering.
(2) Data acquisition and calculation;
obtaining 100 overhead line projects of a certain provincial power grid, and counting 12 preselected technical factor values one by one. Some of the initial data are as follows:
Figure BDA0003406278970000041
Figure BDA0003406278970000051
Figure BDA0003406278970000052
the number of data source historical project is m, and the number of preselected indexes determined by inquiring the construction standard of the transmission line, the construction quota of the transmission line in the historical years and combining the power grid line engineering design and the interview result of construction experts is n. The data value of the ith historical project corresponding to the jth index is xij。
Collected power grid overhead line engineering data xij(i 1,2, …,100, j 1, 2.., 12) to obtain normalized data zij(i 1,2, …,100, j 1, 2.., 12), the normalization method is as follows:
zij＝(xij-μ)/σ
mu and sigma are data x respectivelyijMean and standard deviation of all i numbers in column j.
The initial data matrix Z is obtained as follows:
Figure BDA0003406278970000053
calculating a correlation coefficient matrix R of the normalized data, wherein the expression of R is as follows:
Figure BDA0003406278970000061
in the above formula, rijRepresenting a correlation coefficient of the technical factor i and the technical factor j; m is 12; the correlation coefficient calculation formula is as follows:
Figure BDA0003406278970000062
in the above formula, the first and second carbon atoms are,
Figure BDA0003406278970000065
the matrix Z is the ith row mean value, and j is treated similarly;
and calculating the eigenvalue and the eigenvector of the correlation matrix according to the correlation coefficient matrix. The characteristic equation is listed:
|λE-R|＝0
calculating and solving the characteristic value lambda according to the characteristic equationj(j ═ 1,2, …,12) and a feature matrix E of feature vectors;
obtaining a new sequence lambda according to the sequence of the eigenvalue from small to largej' (j is 1,2, …,12), and the contribution rate Q of the principal component is calculatedj：
Figure BDA0003406278970000063
(3) Key technical factor identification
Calculating the cumulative contribution Q 'of the main component'j:
Figure BDA0003406278970000064
In order to reduce the dimension of the sample and reduce the influence of weak correlation data, and simultaneously ensure that the dimension-reduced sample can basically reflect the information in the original data, principal components with the accumulated contribution rate of more than 85% are selected, and 4 principal components in 12 columns of data are obtained, namely A7, A8, A4 and A9, which are respectively reduced to: the line length, the number of circuit loops, the angle steel tower material quantity and the wire quantity are sequenced according to the accumulated contribution degree, and are considered to become key technical factors of the power grid overhead line engineering project.
The present invention is not limited to the above embodiments, and any changes or substitutions that can be easily made by those skilled in the art within the technical scope of the present invention are also within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (4)

1. A method for identifying key technical factors of power grid engineering construction is characterized by comprising the following steps:
step 1: collecting main grid engineering data of the power grid in three aspects of overhead lines, cable lines and power transformation engineering of the power grid all the year round and constructing a sample set;
step 2: constructing a power grid engineering construction project engineering key technology identification model based on big data, inputting the sample set data in the step 1, and obtaining variance contribution rates corresponding to all indexes;
and step 3: and calculating the influence degree on the power grid engineering construction project according to the variance contribution rate of each index and the accumulated variance contribution rate of all the indexes, and then selecting the index with the former influence degree as a key technical factor according to the accumulated variance contribution rate.
2. The method for identifying key technical factors for power grid engineering construction according to claim 1, wherein the main grid engineering data in the step 1 comprises power indexes, civil engineering indexes, steel indexes and wire indexes;
wherein the power class indicator comprises a voltage class; the civil engineering indexes comprise the earth and stone volume, the foundation concrete volume, the tunnel length, the overall length of the cable building project, the direct burial length and the cable trench length; the steel material indexes comprise the tower material amount of the angle steel tower, the tower material amount of the steel pipe tower and the base steel material amount; the wire type indexes comprise the line length, the wire amount, the cable section, the number of cable intermediate joints and the calandria length.
3. The method for identifying the key technical factors for power grid engineering construction according to claim 1, wherein the step 2 sequentially comprises the following substeps:
step 21: inputting main network engineering data x of power gridijPerforming normalization to obtain normalized data z from the mean μ and standard deviation σ of the data setijThe formula is as follows:
zij＝(xij-μ)/σ
wherein, the data value of the ith historical project corresponding to the jth index is xij(ii) a Mu and sigma are data x, respectivelyijThe mean value and the standard deviation of all the i numbers in the jth column; further, an initial data matrix Z is obtained as follows:
Figure FDA0003406278960000011
wherein m is the engineering quantity in the past year;
step 22: according to the normalized data z in step 21ijThe expression of the correlation coefficient matrix R, R is calculated as follows:
Figure FDA0003406278960000021
in the above formula, n is the number of preselected indexes, rijAnd expressing the correlation coefficient of the index i and the index j, wherein the calculation formula of the correlation coefficient is as follows:
Figure FDA0003406278960000022
in the above formula, the first and second carbon atoms are,
Figure FDA0003406278960000023
is the average value of the ith row of the matrix Z,
Figure FDA0003406278960000024
is the jth row mean value of the matrix Z;
step 23: calculating the eigenvalue and the eigenvector of the correlation matrix according to the correlation coefficient matrix R, and solving an eigen equation:
|λE-R|＝0
step 24: calculating the eigenvalue lambda according to the eigen equationjJ ═ 1,2, …, n, and feature vector E;
step 25: sorting according to the magnitude of the characteristic value to obtain a new sequence lambdaj', j is 1,2, …, n, and the contribution rate Q of each index is calculatedj：
Figure FDA0003406278960000025
4. The method for identifying the key technical factors for power grid engineering construction according to claim 1, wherein the step 3 comprises the following substeps:
step 31: calculating the accumulative variance contribution rate Q 'of each index'j：
Figure FDA0003406278960000026
Step 32: selecting the first t principal components F with the cumulative variance contribution rate of more than 85 percent1,F2,…,FmThe method is used as a key technical factor of a power grid engineering construction project.
CN202111514393.4A 2021-12-13 2021-12-13 Identification method for key technical factors of power grid engineering construction Pending CN114186856A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105303468A (en) * 2015-11-20 2016-02-03 国网天津市电力公司 Comprehensive evaluation method of smart power grid construction based on principal component cluster analysis
CN106203800A (en) * 2016-06-30 2016-12-07 中国电力科学研究院 A kind of power distribution network operational reliability index extraction method
CN112288269A (en) * 2020-10-28 2021-01-29 国网山西省电力公司经济技术研究院 Regional power distribution network equipment asset investment scheme evaluation method and system
CN113592176A (en) * 2021-07-29 2021-11-02 国网新疆电力有限公司经济技术研究院 Power grid production technical improvement project investment prediction method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105303468A (en) * 2015-11-20 2016-02-03 国网天津市电力公司 Comprehensive evaluation method of smart power grid construction based on principal component cluster analysis
CN106203800A (en) * 2016-06-30 2016-12-07 中国电力科学研究院 A kind of power distribution network operational reliability index extraction method
CN112288269A (en) * 2020-10-28 2021-01-29 国网山西省电力公司经济技术研究院 Regional power distribution network equipment asset investment scheme evaluation method and system
CN113592176A (en) * 2021-07-29 2021-11-02 国网新疆电力有限公司经济技术研究院 Power grid production technical improvement project investment prediction method

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