CN111028099A - Line and platform area classification system - Google Patents
Line and platform area classification system Download PDFInfo
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- CN111028099A CN111028099A CN201911170559.8A CN201911170559A CN111028099A CN 111028099 A CN111028099 A CN 111028099A CN 201911170559 A CN201911170559 A CN 201911170559A CN 111028099 A CN111028099 A CN 111028099A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
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- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Abstract
The invention provides a line and platform area grading classification system, which comprises an acquisition unit, a classification unit and a classification unit, wherein the acquisition unit is used for acquiring daily line loss data and daily line loss electric quantity grading indexes of each line; the cleaning unit is used for cleaning the daily line loss data of each line, deleting the daily line loss data of which the line loss rate is greater than a first preset line loss rate and the line loss rate is less than a second preset line loss rate in the daily line loss data, and obtaining the daily line loss data of each line which is not abnormal; the first calculation unit is used for calculating a first joint probability density of daily line loss data and first line loss electric quantity of each non-abnormal line; the second calculation unit is used for calculating a second combined probability density of daily line loss data and second line loss electric quantity of each non-abnormal line; and the third calculation unit is used for calculating the hierarchical comprehensive index of the daily line loss of each line according to the first joint probability density and the second joint probability density. The invention solves the problem of lack of scientific data support for the classified management of the line and the platform area.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a hierarchical classification system for lines and transformer substations.
Background
The line loss comprehensively reflects the management level of a power supply enterprise, and is one of important assessment indexes, the line splitting and distribution area management is a basic link of line loss management, and the reduction of the line loss of the line splitting and distribution area is a key point for reducing the cost of the enterprise. In view of the fact that the proportion of 10kV and 0.4kV line loss to the whole line loss is high, the center of gravity of loss reduction work is still a medium and low voltage distribution network. The line loss level is evaluated correctly, and the classified management of lines and distribution areas is difficult in the prior art.
Disclosure of Invention
The invention aims to provide a line and platform area grading and classifying system, which is used for solving the problem that line loss of a line and a platform area cannot be effectively managed.
The invention provides a hierarchical classification system for lines and transformer areas, which comprises:
the acquisition unit is used for acquiring daily line loss data and daily line loss electric quantity grading indexes of each line, wherein the daily line loss electric quantity grading indexes comprise first line loss electric quantity and second line loss electric quantity;
the cleaning unit is used for cleaning the daily line loss data of each line, deleting the daily line loss data of which the line loss rate is greater than a first preset line loss rate and the line loss rate is less than a second preset line loss rate in the daily line loss data, and obtaining the daily line loss data of each line which is not abnormal;
a first calculation unit, configured to calculate a first joint probability density of the daily line loss data and the first line loss electric quantity of each non-abnormal line;
a second calculation unit configured to calculate a second combined probability density of daily line loss data and the second line loss electric quantity of each of the non-abnormal lines;
and the third calculation unit is used for calculating the hierarchical comprehensive index of the daily line loss of each line according to the first joint probability density and the second joint probability density.
Further, the third calculating unit is specifically configured to calculate a hierarchical comprehensive index of the daily line loss of each line, and the calculation formula specifically includes:
Further, the obtaining unit is further configured to obtain monthly line loss data and monthly line loss power classification indexes of each line, where the monthly line loss power classification indexes include a third line loss power and a fourth line loss power;
the cleaning unit is further configured to clean the monthly line loss data of each line, and delete the monthly line loss data of which the line loss rate is greater than a first preset line loss rate and the line loss rate is less than a second preset line loss rate in the monthly line loss data to obtain non-abnormal monthly line loss data of each line;
a first calculation unit, configured to calculate a third joint probability density of the monthly line loss data and the third line loss electric quantity of each non-abnormal line;
a second calculating unit, configured to calculate a fourth combined probability density of the monthly line loss data and the fourth line loss amount of each non-abnormal line;
and the third calculating unit is used for calculating the monthly line loss grading comprehensive index of each line according to the third joint probability density and the fourth joint probability density.
Further, the cleaning unit is further configured to clean the monthly line loss data of each line in the distribution room, and delete the monthly line loss data of which the line loss rate is greater than a first preset line loss rate and the line loss rate is less than a second preset line loss rate in the monthly line loss data to obtain the non-abnormal monthly line loss data of the distribution room;
the first calculation unit is further used for calculating the monthly line loss data of the non-abnormal distribution room and a fifth combined probability density of the first line loss electric quantity;
the second calculation unit is further used for calculating a sixth joint probability density of the monthly line loss data and the second line loss electric quantity of the non-abnormal distribution room;
and the third calculating unit is also used for calculating the monthly line loss grading comprehensive index of the transformer area according to the fifth joint probability density and the sixth joint probability density.
The implementation of the invention has the following beneficial effects:
according to the invention, the daily line loss data and the daily line loss electric quantity grading index are respectively obtained, the combined probability density is worked out by cleaning off abnormal data, and the line loss grading comprehensive index is comprehensively obtained.
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, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a structural diagram of a hierarchical classification system for line and station areas according to an embodiment of the present invention.
Detailed Description
In this patent, line loss data is obtained and subjected to probability calculation and calculation, and the following describes the specific implementation manner in further detail with reference to the drawings and the embodiments.
As shown in fig. 1, an embodiment of the present invention provides a hierarchical classification system for line and station areas, where the system includes:
the acquiring unit 11 is configured to acquire daily line loss data and a daily line loss electric quantity grading index of each line, where the daily line loss electric quantity grading index includes a first line loss electric quantity and a second line loss electric quantity;
it should be noted that the first amount of line loss is measured from the cross-sectional area dimension, and the second amount of line loss is measured from the time dimension.
A cleaning unit 12, configured to clean the daily line loss data of each line, and delete the daily line loss data of which the line loss rate is greater than a first preset line loss rate and the line loss rate is less than a second preset line loss rate in the daily line loss data to obtain non-abnormal daily line loss data of each line;
in this embodiment, the first predetermined line loss rate is 100, and the second predetermined line loss rate is-2.
A first calculating unit 13, configured to calculate a first joint probability density of the daily line loss data and the first line loss electric quantity of each non-abnormal line;
a second calculation unit 14, configured to calculate a second combined probability density of the daily line loss data and the second line loss electric quantity of each non-abnormal line;
and the third calculating unit 15 is configured to calculate a hierarchical comprehensive index of the daily line loss of each line according to the first joint probability density and the second joint probability density.
Specifically, the third calculating unit is specifically configured to calculate a hierarchical comprehensive index of the daily line loss of each line, and the calculation formula specifically includes:
Further, the obtaining unit 11 is further configured to obtain monthly line loss data and monthly line loss power classification indexes of each line, where the monthly line loss power classification indexes include a third line loss power and a fourth line loss power;
it should be noted that the third line loss is measured from the cross-sectional area dimension, and the fourth line loss is measured from the time dimension.
The cleaning unit 12 is further configured to clean the monthly line loss data of each line, and delete the monthly line loss data in which the line loss rate is greater than a first preset line loss rate and the line loss rate is less than a second preset line loss rate in the monthly line loss data to obtain non-abnormal monthly line loss data of each line;
a first calculation unit 13, configured to calculate a third joint probability density of the monthly line loss data and the third line loss electric quantity of each non-abnormal line;
a second calculating unit 14, configured to calculate a fourth combined probability density of the monthly line loss data and the fourth line loss amount of each non-abnormal line;
and the third calculating unit 15 is configured to calculate a monthly line loss grading comprehensive index of each line according to the third joint probability density and the fourth joint probability density.
It should be noted that the calculation method is the same as the calculation of the hierarchical comprehensive index of the daily line loss of each line.
Further, the cleaning unit 12 is further configured to clean the monthly line loss data of each line in the distribution room, and delete the monthly line loss data in which the line loss rate is greater than a first preset line loss rate and the line loss rate is less than a second preset line loss rate in the monthly line loss data to obtain non-abnormal monthly line loss data in the distribution room;
the first calculating unit 13 is further configured to calculate a fifth combined probability density of the monthly line loss data of the non-abnormal distribution room and the first line loss electric quantity;
the second calculating unit 14 is further configured to calculate a sixth joint probability density of the monthly line loss data and the second line loss electric quantity of the non-abnormal distribution room;
and the third calculating unit 15 is further configured to calculate a monthly line loss hierarchical comprehensive index of the transformer area according to the fifth joint probability density and the sixth joint probability density.
The implementation of the invention has the following beneficial effects:
according to the invention, the daily line loss data and the daily line loss electric quantity grading index are respectively obtained, the combined probability density is worked out by cleaning off abnormal data, and the line loss grading comprehensive index is comprehensively obtained.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (4)
1. A line and station classification system, comprising:
the acquisition unit is used for acquiring daily line loss data and daily line loss electric quantity grading indexes of each line, wherein the daily line loss electric quantity grading indexes comprise first line loss electric quantity and second line loss electric quantity;
the cleaning unit is used for cleaning the daily line loss data of each line, deleting the daily line loss data of which the line loss rate is greater than a first preset line loss rate and the line loss rate is less than a second preset line loss rate in the daily line loss data, and obtaining the daily line loss data of each line which is not abnormal;
a first calculation unit, configured to calculate a first joint probability density of the daily line loss data and the first line loss electric quantity of each non-abnormal line;
a second calculation unit configured to calculate a second combined probability density of daily line loss data and the second line loss electric quantity of each of the non-abnormal lines;
and the third calculation unit is used for calculating the hierarchical comprehensive index of the daily line loss of each line according to the first joint probability density and the second joint probability density.
2. The system according to claim 1, wherein the third calculating unit is specifically configured to calculate a hierarchical comprehensive indicator of the daily line loss of each line, and the calculation formula is specifically:
3. The system of claim 1, wherein the obtaining unit is further configured to obtain monthly line loss data and monthly line loss rating indicators for each line, the monthly line loss rating indicators including a third line loss and a fourth line loss;
the cleaning unit is further configured to clean the monthly line loss data of each line, and delete the monthly line loss data of which the line loss rate is greater than a first preset line loss rate and the line loss rate is less than a second preset line loss rate in the monthly line loss data to obtain non-abnormal monthly line loss data of each line;
a first calculation unit, configured to calculate a third joint probability density of the monthly line loss data and the third line loss electric quantity of each non-abnormal line;
a second calculating unit, configured to calculate a fourth combined probability density of the monthly line loss data and the fourth line loss amount of each non-abnormal line;
and the third calculating unit is used for calculating the monthly line loss grading comprehensive index of each line according to the third joint probability density and the fourth joint probability density.
4. The system according to claim 3, wherein the cleaning unit is further configured to clean monthly line loss data of each line in the distribution room, and delete monthly line loss data in which a line loss rate is greater than a first preset line loss rate and the line loss rate is less than a second preset line loss rate in the monthly line loss data to obtain monthly line loss data of the non-abnormal distribution room;
the first calculation unit is further used for calculating the monthly line loss data of the non-abnormal distribution room and a fifth combined probability density of the first line loss electric quantity;
the second calculation unit is further used for calculating a sixth joint probability density of the monthly line loss data and the second line loss electric quantity of the non-abnormal distribution room;
and the third calculating unit is also used for calculating the monthly line loss grading comprehensive index of the transformer area according to the fifth joint probability density and the sixth joint probability density.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911170559.8A CN111028099A (en) | 2019-11-26 | 2019-11-26 | Line and platform area classification system |
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| CN201911170559.8A CN111028099A (en) | 2019-11-26 | 2019-11-26 | Line and platform area classification system |
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| CN111028099A true CN111028099A (en) | 2020-04-17 |
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Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109242722A (en) * | 2018-09-14 | 2019-01-18 | 国网河北省电力有限公司电力科学研究院 | Platform area line loss on-line monitoring method, system and terminal device |
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- 2019-11-26 CN CN201911170559.8A patent/CN111028099A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109242722A (en) * | 2018-09-14 | 2019-01-18 | 国网河北省电力有限公司电力科学研究院 | Platform area line loss on-line monitoring method, system and terminal device |
Non-Patent Citations (1)
| Title |
|---|
| 吴栩峰: "典型台区与线路分级分类模型建立及其影响因素分析", 《信息系统工程》 * |
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