CN114091947A - User regional characteristic evaluation method and system - Google Patents
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Abstract
The invention relates to a user regional characteristic evaluation method and a user regional characteristic evaluation system. The method comprises the following steps: collecting related data of the medium-voltage lines in the selected area, wherein the data comprises the line length, the number of users and the distribution transformer capacity of each medium-voltage line; calculating the number of users of the unit line in the selected area and the capacity of the unit line; according to the number of users of the unit line and the capacity of the unit line, respectively evaluating and scoring the user density and the capacity density of the selected area, and correspondingly obtaining a regional user density scoring value and a regional capacity density scoring value of the selected area; and obtaining a user regional characteristic evaluation total value of the selected region according to the regional user density score value and the regional capacity density score value. The method and the device can accurately and quantitatively evaluate the user regional characteristic level of the region.
Description
Technical Field
The invention relates to the technical field of power supply, in particular to a user regional characteristic evaluation method and system.
Background
The user region characteristics are typical classification modes when the power supply system carries out statistics and evaluation on power supply reliability. For a long time, the regional characteristic division of users in China adopts a qualitative division mode. In the practical application process, the accuracy of the user regional characteristic division depends on the experience of a power supply reliability practitioner. With the increasing importance of the power supply reliability industry-oriented benchmarks, the adoption of a quantitative method for dividing the user region features is particularly urgent.
Disclosure of Invention
The technical problem to be solved by the embodiments of the present invention is to provide a user regional characteristic evaluation method and system capable of accurately and quantitatively evaluating a user regional characteristic level of a region.
In order to solve the above technical problem, an embodiment of the present invention provides a user region feature evaluation method, including:
step S1, collecting the related data of the medium voltage line in the selected area, wherein the data comprises the line length, the number of users and the distribution transformer capacity of each medium voltage line;
step S2, calculating the number of users per line and the capacity per line in the selected area, wherein,
the number of users per line is equal to the number of users/line length,
unit line capacity is the carried distribution capacity/line length;
step S3, according to the number of the unit line users and the unit line capacity, respectively evaluating the user density and the capacity density of the selected area, and correspondingly obtaining a region user density scoring value and a region capacity density scoring value of the selected area;
and step S4, obtaining a user regional characteristic evaluation total value of the selected region according to the regional user density score value and the regional capacity density score value.
Further, after the step S4, the method further includes:
and step S5, according to the total user area characteristic evaluation value of the selected area, inquiring the mapping relation between the predetermined total user area characteristic evaluation value and the user area characteristic category, and determining the user area characteristic category of the selected area.
Further, the step S3 further includes:
evaluating the user density score of the selected area according to the number of the users of the unit line to obtain the regional user density score of the selected area, wherein the method specifically comprises the following steps:
when the number of the unit line users is greater than or equal to a first set value:
the regional user density score value is equal to a first set value;
when the number of the users of the unit line is less than a first set value:
the regional user density score value is equal to the number of the unit line users;
obtaining a regional capacity density score of the selected region according to the capacity of the unit line to the capacity density evaluation score of the selected region, wherein the regional capacity density score specifically comprises:
when the unit line capacity is greater than or equal to a second set value:
the area capacity density score value is a third set value;
when the unit line capacity is smaller than a second set value:
and the area capacity density score value is the unit line capacity/a second set value and a third set value.
Further, in step S4, obtaining a total user regional characteristic evaluation value of the selected area according to the regional user density score value and the regional capacity density score value specifically includes: and the total user regional characteristic evaluation value is equal to the sum of the regional user density scoring value and the regional capacity density scoring value.
Further, the user area feature classification is classification of the user area according to the power supply reliability requirement.
Further, the user regional characteristic categories include downtown, town, and country.
Further, the step S1 further includes: and cleaning the acquired data, and eliminating abnormal data with the line length of 0 in the data.
Further, the method performs step S6 after performing the step S2, the step S6 includes: and respectively carrying out regional user density classification and regional capacity density classification on the selected region according to the number of the unit line users and the unit line capacity.
The embodiment of the present invention further provides a system for evaluating user regional characteristics, including:
the acquisition unit is used for acquiring related data of the medium-voltage line in the selected area, wherein the data comprises the line length, the number of users and the distribution transformer capacity of each medium-voltage line;
a calculation unit for calculating the number of unit line users and the unit line capacity in the selected area, wherein,
the number of users in a unit line is equal to the number of users/the length of the line;
unit line capacity is the carried distribution capacity/line length;
the scoring unit is used for respectively evaluating the user density and the capacity density of the selected area according to the number of the unit line users and the unit line capacity, and correspondingly obtaining the region user density scoring value and the region capacity density scoring value of the selected area;
and the user regional characteristic evaluation unit is used for obtaining a user regional characteristic evaluation total value of the selected region according to the regional user density score value and the regional capacity density score value.
The system further comprises: and the classification unit is used for inquiring the mapping relation between the predetermined total user area characteristic evaluation value and the user area characteristic category according to the total user area characteristic evaluation value of the selected area, and determining the user area characteristic category of the selected area.
The embodiment of the invention has the following beneficial effects: the embodiment of the invention combines the number of users carried by the line in the selected area and the distribution capacity of the line, evaluates the user density and the capacity density of the selected area based on the number of users of the unit line and the capacity of the unit line in the selected area, obtains the total value of the user area characteristic evaluation of the selected area, can accurately and quantitatively evaluate the user area characteristic level of the selected area, further can determine the user area characteristic category of the selected area, and provides support for the user area characteristic division of the power supply system.
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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 flowchart of a user region feature evaluation method according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments refers to the accompanying drawings, which are included to illustrate specific embodiments in which the invention may be practiced.
The embodiment of the invention provides a user regional characteristic evaluation method and a user regional characteristic evaluation system, which are used for evaluating the user density and the capacity density of an area by combining the number of users carried by a line in the area and the distribution capacity condition carried by the line so as to accurately evaluate the user regional characteristic level of the area.
Specifically, as shown in fig. 1, the method for evaluating user regional characteristics according to the embodiment of the present invention includes the following steps:
and step S1, collecting the related data of the medium voltage line in the selected area, wherein the data comprises the line length, the number of users and the distribution transformer capacity of each medium voltage line.
Further, in step S1, the embodiment of the present invention may clean the collected data, and remove abnormal data with a line length of 0 from the data.
In step S2, the number of users per line and the capacity per line in the selected area are calculated. The specific method of calculation may be as follows:
the number of users in a unit line is equal to the number of users/the length of the line;
the unit line capacity is the associated distribution capacity/line length.
And step S3, respectively evaluating the user density and the capacity density of the selected area according to the number of the users of the unit line and the capacity of the unit line, and correspondingly obtaining the user density score value and the capacity density score value of the selected area.
Further, in the embodiment of the present invention, the score is evaluated according to the number of users in the unit line for the user density in the selected area, and the regional user density score value in the selected area is obtained, which may be implemented by the following evaluation processes, but is not limited thereto:
when the number of the users of the unit line is greater than or equal to a first set value:
the regional user density score value is equal to a first set value;
when the number of the users of the unit line is less than a first set value:
and (4) determining the regional user density score value as the number of users of the unit line.
In the embodiment of the present invention, the capacity density evaluation score of the selected area according to the unit line capacity to obtain the regional capacity density score of the selected area may be obtained through the following evaluation processes, but is not limited thereto:
when the unit line capacity is greater than or equal to a second set value:
the area capacity density score value is equal to a third set value;
when the unit line capacity is smaller than a second set value:
and the area capacity density score value is the unit line capacity/the second set value and the third set value.
The first, second, and third setting values may be set by the power supply system according to actual conditions when evaluating the user area feature level, for example, the first setting value is 100, the second setting value is 2000, and the third setting value is 100. It is understood that the specific setting criteria of the regional user density score value and the regional capacity density score value are not limited to the above.
And step S4, obtaining the user regional characteristic evaluation total value of the selected region according to the obtained regional user density score value and regional capacity density score value. The total user area characteristic evaluation value can reflect the user area characteristic level of the selected area.
Specifically, it is possible to set: the total user regional characteristic evaluation value is equal to the sum of the regional user density score and the regional capacity density score, so that the total user regional characteristic evaluation value of the selected area can be obtained according to the obtained regional user density score and the regional capacity density score, but the method is not limited to the above.
Based on the steps S1-S4, the embodiment of the present invention can evaluate the user density and the capacity density of the selected area by combining the number of users and the distribution capacity carried by the line in the selected area, and obtain the total value of the user area characteristic evaluation of the selected area, thereby accurately and quantitatively evaluating the user area characteristic level of the selected area.
Further, in step S2, the number of unit line users and the unit line capacity are obtained, and in one embodiment, the present invention may perform area user density classification and area capacity density classification on the selected area according to the obtained number of unit line users and unit line capacity.
Specifically, in one embodiment, the regional user density classification of the selected area based on the number of users per line may be:
class C1: 100 ≦ number of users per line;
class C2: 70 ≦ number of users for unit line < 100;
class C3: number of users <70 for 40 ≦ unit line;
class C4: the number of users per line is < 40.
The regional capacity density classification of the selected area based on unit line capacity may be:
class D1: 2000 ≦ unit line capacity;
class D2: 1800 ≦ unit line capacity < 2000;
class D3: 1500 ≦ unit line capacity < 1800;
class D4: unit line capacity < 1500.
After the user regional characteristic level of the selected area is known through steps S1-S4, the embodiment of the present invention may further classify the selected area, i.e., determine the user regional characteristic category. In the embodiment of the present invention, the user region feature categories are classified according to the power supply reliability requirements, and may include, but are not limited to, downtown, town, and countryside. In the embodiment of the present invention, a mapping relationship between the total user area feature evaluation value and the user area feature category may be predetermined, for example, as follows: if the first setting value in step S3 is 100 and the third setting value is 100, the mapping relationship between the user area feature category and the total user area feature evaluation value is:
the city center: 100 ≦ total user locality feature evaluation value;
urban areas: 70 ≦ total user locality feature rating value < 100;
and town: 50 ≦ total user locality trait evaluation value < 70;
rural area: the user regional characteristic rating total value is < 50.
Based on this, after obtaining the total user area characteristic evaluation value of the selected area through step S4, the embodiment of the present invention further performs step S5, and queries a mapping relationship between the predetermined total user area characteristic evaluation value and the user area characteristic category according to the obtained total user area characteristic evaluation value of the selected area, thereby determining the user area characteristic category of the selected area.
The embodiment of the invention also provides a user region characteristic evaluation system which comprises an acquisition unit, a calculation unit, a scoring unit and a user region characteristic evaluation unit.
The acquisition unit is used for acquiring related data of the medium-voltage lines in the selected area, wherein the data comprises the line length, the number of users and the distribution transformer capacity of each medium-voltage line.
The calculating unit is used for calculating the number of the unit line users and the unit line capacity in the selected area, wherein:
the number of users in a unit line is equal to the number of users/the length of the line;
the unit line capacity is the associated distribution capacity/line length.
And the scoring unit is used for respectively evaluating the scores of the user density and the capacity density of the selected area according to the number of users in the unit line and the capacity of the unit line, and correspondingly obtaining the regional user density score value and the regional capacity density score value of the selected area.
And the user regional characteristic evaluation unit is used for obtaining a user regional characteristic evaluation total value of the selected region according to the regional user density score value and the regional capacity density score value. The total user area characteristic evaluation value can reflect the user area characteristic level of the selected area.
In an embodiment, the acquisition unit is further configured to clean the acquired data and reject abnormal data with a line length of 0 in the data.
In an embodiment, the scoring unit evaluates the score of the user density of the selected area according to the number of users of the unit line, and obtains the regional user density score of the selected area, which may be implemented by the following evaluation processes, but is not limited thereto:
when the number of the users of the unit line is greater than or equal to a first set value:
the regional user density score value is equal to a first set value;
when the number of the users of the unit line is less than a first set value:
and (4) determining the regional user density score value as the number of users of the unit line.
The scoring unit evaluates the score of the capacity density of the selected area according to the unit line capacity to obtain the regional capacity density score of the selected area, which can be achieved through the following evaluation processes, but is not limited to the following:
when the unit line capacity is greater than or equal to a second set value:
the area capacity density score value is equal to a third set value;
when the unit line capacity is smaller than a second set value:
and the area capacity density score value is the unit line capacity/the second set value and the third set value.
The first, second, and third setting values may be set by the power supply system according to actual conditions when evaluating the user area feature level, for example, the first setting value is 100, the second setting value is 2000, and the third setting value is 100. It is understood that the specific setting criteria of the regional user density score value and the regional capacity density score value are not limited to the above.
In an embodiment, the user regional characteristic evaluation unit is configured to obtain a total user regional characteristic evaluation value of the selected area according to the regional user density score value and the regional capacity density score value, where the total user regional characteristic evaluation value is equal to a sum of the regional user density score value and the regional capacity density score value.
In an embodiment, the user region feature evaluation system according to the embodiment of the present invention may further include a classifying unit, where the classifying unit is configured to query a mapping relationship between a predetermined total user region feature evaluation value and a user region feature category according to the total user region feature evaluation value of the selected region, and determine the user region feature category of the selected region.
In addition, in an embodiment, the user regional characteristic evaluation system according to the embodiment of the present invention may further include a density classification unit, configured to perform regional user density classification and regional capacity density classification on the selected area according to the number of users of the unit line and the unit line capacity calculated by the calculation unit, respectively.
As can be seen from the above description, the user area feature evaluation method and system in the embodiments of the present invention, in combination with the number of users carried by a line in a selected area and the distribution capacity of the line, based on the number of users of a unit line in the selected area and the capacity of the unit line, evaluate the user density and the capacity density in the selected area, and obtain the total value of user area feature evaluation in the selected area, thereby accurately and quantitatively evaluating the user area feature level in the selected area, and further determining the user area feature category in the selected area, and providing support for user area feature classification in a power supply system.
Compared with the prior art, the invention has the beneficial effects that: the method and the device can accurately and quantitatively evaluate the user regional characteristic level of the selected region, can determine the user regional characteristic category of the selected region, and provide support for the regional characteristic division of the power supply system user.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (10)
1. A user regional characteristic evaluation method is characterized by comprising the following steps:
step S1, collecting the related data of the medium voltage line in the selected area, wherein the data comprises the line length, the number of users and the distribution transformer capacity of each medium voltage line;
step S2, calculating the number of users per line and the capacity per line in the selected area, wherein,
the number of users per line is equal to the number of users/line length,
unit line capacity is the carried distribution capacity/line length;
step S3, according to the number of the unit line users and the unit line capacity, respectively evaluating the user density and the capacity density of the selected area, and correspondingly obtaining a region user density scoring value and a region capacity density scoring value of the selected area;
and step S4, obtaining a user regional characteristic evaluation total value of the selected region according to the regional user density score value and the regional capacity density score value.
2. The method for evaluating a regional characteristic of a user according to claim 1, wherein the method further comprises, after the step S4:
and step S5, according to the total user area characteristic evaluation value of the selected area, inquiring the mapping relation between the predetermined total user area characteristic evaluation value and the user area characteristic category, and determining the user area characteristic category of the selected area.
3. The user regional feature evaluation method according to claim 1, wherein the step S3 further comprises:
evaluating the user density score of the selected area according to the number of the users of the unit line to obtain the regional user density score of the selected area, wherein the method specifically comprises the following steps:
when the number of the unit line users is greater than or equal to a first set value:
the regional user density score value is equal to a first set value;
when the number of the users of the unit line is less than a first set value:
the regional user density score value is equal to the number of the unit line users;
obtaining a regional capacity density score of the selected region according to the capacity of the unit line to the capacity density evaluation score of the selected region, wherein the regional capacity density score specifically comprises:
when the unit line capacity is greater than or equal to a second set value:
the area capacity density score value is a third set value;
when the unit line capacity is smaller than a second set value:
and the area capacity density score value is the unit line capacity/a second set value and a third set value.
4. The method according to claim 1, wherein in step S4, obtaining the total user regional characteristic evaluation value of the selected area according to the regional user density score value and the regional capacity density score value specifically includes:
and the total user regional characteristic evaluation value is equal to the sum of the regional user density scoring value and the regional capacity density scoring value.
5. The user region characteristic evaluation method according to claim 2, wherein the user region characteristic category is a category classification of the user region according to a level of a power supply reliability requirement.
6. The user regional characteristic evaluation method according to claim 2 or 5, wherein the user regional characteristic category includes downtown, town, country.
7. The user regional characteristic evaluation method according to claim 1, wherein the step S1 further comprises:
and cleaning the acquired data, and eliminating abnormal data with the line length of 0 in the data.
8. The user regional characteristic evaluation method according to claim 1, wherein the method performs step S6 after performing the step S2, and the step S6 includes:
and respectively carrying out regional user density classification and regional capacity density classification on the selected region according to the number of the unit line users and the unit line capacity.
9. A user regional characteristic evaluation system, comprising:
the acquisition unit is used for acquiring related data of the medium-voltage line in the selected area, wherein the data comprises the line length, the number of users and the distribution transformer capacity of each medium-voltage line;
a calculation unit for calculating the number of unit line users and the unit line capacity in the selected area, wherein,
the number of users in a unit line is equal to the number of users/the length of the line;
unit line capacity is the carried distribution capacity/line length;
the scoring unit is used for respectively evaluating the user density and the capacity density of the selected area according to the number of the unit line users and the unit line capacity, and correspondingly obtaining the region user density scoring value and the region capacity density scoring value of the selected area;
and the user regional characteristic evaluation unit is used for obtaining a user regional characteristic evaluation total value of the selected region according to the regional user density score value and the regional capacity density score value.
10. The user regional characteristic evaluation system of claim 9, wherein the system further comprises:
and the classification unit is used for inquiring the mapping relation between the predetermined total user area characteristic evaluation value and the user area characteristic category according to the total user area characteristic evaluation value of the selected area, and determining the user area characteristic category of the selected area.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103632203A (en) * | 2013-09-23 | 2014-03-12 | 国家电网公司 | Distribution network power supply area division method based on comprehensive evaluation |
| CN103778573A (en) * | 2014-02-26 | 2014-05-07 | 国家电网公司 | Classification method for areas with power supplied by power distribution network |
| CN105023195A (en) * | 2015-05-29 | 2015-11-04 | 江苏省电力公司常州供电公司 | Distributed photovoltaic power distribution network reliability evaluating method |
| CN105426994A (en) * | 2015-11-13 | 2016-03-23 | 国家电网公司 | Optimization selection method of power distribution network alternative construction projects |
| CN106203867A (en) * | 2016-07-19 | 2016-12-07 | 国家电网公司 | Grid division methods based on power distribution network assessment indicator system and cluster analysis |
| CN107767067A (en) * | 2017-10-31 | 2018-03-06 | 国网福建省电力有限公司 | Power distribution network management and running evaluation index system construction method based on big data |
| CN108205716A (en) * | 2017-12-29 | 2018-06-26 | 国网山东省电力公司日照供电公司 | Distribution transforming attaching capacity prediction methods and system |
| CN108521124A (en) * | 2018-04-26 | 2018-09-11 | 福建积微科技有限公司 | A kind of visual distribution network failure section partition method |
| CN109615175A (en) * | 2018-11-13 | 2019-04-12 | 广东电网有限责任公司 | A kind of 10kV medium-voltage line automation segmentation Rationality Assessment method |
| CN110266000A (en) * | 2019-06-17 | 2019-09-20 | 国网江苏省电力有限公司 | A kind of out-of-limit analysis of causes method of distribution network voltage, system and storage medium |
| CN110751388A (en) * | 2019-10-14 | 2020-02-04 | 国网山东省电力公司泰安供电公司 | Method and system for calculating distribution variable capacity index of residential power distribution network |
-
2021
- 2021-11-29 CN CN202111429856.7A patent/CN114091947A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103632203A (en) * | 2013-09-23 | 2014-03-12 | 国家电网公司 | Distribution network power supply area division method based on comprehensive evaluation |
| CN103778573A (en) * | 2014-02-26 | 2014-05-07 | 国家电网公司 | Classification method for areas with power supplied by power distribution network |
| CN105023195A (en) * | 2015-05-29 | 2015-11-04 | 江苏省电力公司常州供电公司 | Distributed photovoltaic power distribution network reliability evaluating method |
| CN106600139A (en) * | 2015-05-29 | 2017-04-26 | 江苏省电力公司常州供电公司 | Reliability evaluation method of power distribution network |
| CN105426994A (en) * | 2015-11-13 | 2016-03-23 | 国家电网公司 | Optimization selection method of power distribution network alternative construction projects |
| CN106203867A (en) * | 2016-07-19 | 2016-12-07 | 国家电网公司 | Grid division methods based on power distribution network assessment indicator system and cluster analysis |
| CN107767067A (en) * | 2017-10-31 | 2018-03-06 | 国网福建省电力有限公司 | Power distribution network management and running evaluation index system construction method based on big data |
| CN108205716A (en) * | 2017-12-29 | 2018-06-26 | 国网山东省电力公司日照供电公司 | Distribution transforming attaching capacity prediction methods and system |
| CN108521124A (en) * | 2018-04-26 | 2018-09-11 | 福建积微科技有限公司 | A kind of visual distribution network failure section partition method |
| CN109615175A (en) * | 2018-11-13 | 2019-04-12 | 广东电网有限责任公司 | A kind of 10kV medium-voltage line automation segmentation Rationality Assessment method |
| CN110266000A (en) * | 2019-06-17 | 2019-09-20 | 国网江苏省电力有限公司 | A kind of out-of-limit analysis of causes method of distribution network voltage, system and storage medium |
| CN110751388A (en) * | 2019-10-14 | 2020-02-04 | 国网山东省电力公司泰安供电公司 | Method and system for calculating distribution variable capacity index of residential power distribution network |
Non-Patent Citations (2)
| Title |
|---|
| 刘树森: "《配电网规划设计技术》", 31 May 2017, 沈阳：辽宁大学出版社, pages: 273 * |
| 新疆维吾尔自治区石河子水利水电学会: "《石河子水利水电科技文集 第1集》", 31 January 1999, 乌鲁木齐：新疆科技卫生出版社, pages: 446 * |
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