CN112152213A - Line loss-based topology identification rate judgment method - Google Patents
Line loss-based topology identification rate judgment method Download PDFInfo
- Publication number
- CN112152213A CN112152213A CN202011235603.1A CN202011235603A CN112152213A CN 112152213 A CN112152213 A CN 112152213A CN 202011235603 A CN202011235603 A CN 202011235603A CN 112152213 A CN112152213 A CN 112152213A
- Authority
- CN
- China
- Prior art keywords
- line loss
- loss rate
- meter box
- branch
- rate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to a line loss-based topology identification rate judgment method, which belongs to the technical field of intelligent power grids and comprises the steps of obtaining an automatic topology identification result of a distribution transformer area, and dividing the topology result according to the hierarchy of a distribution transformer, a line outlet cabinet, a branch box and a meter box; acquiring electric quantity data of a low-voltage side of a distribution transformer, outgoing lines of an outgoing line cabinet and incoming lines of a meter box; calculating the line loss rate from the low-voltage side of the distribution transformer to the meter box, calculating the line loss rate from the outgoing line of the line cabinet to the meter box, judging whether the current line loss is in a preset range, if so, judging whether all branch lines are completely judged, and if so, calculating the accuracy of topology identification; if the line loss rate exceeds the preset range, judging the abnormal situation, classifying and judging the abnormal situation of the line loss rate, and recording the topological situation. The method is directly used for judging whether the low-voltage distribution area topology is accurate or not, and provides important basis and scientific support for identifying whether the low-voltage distribution area automatic topology is accurate or not.
Description
Technical Field
The invention relates to a line loss-based topology identification rate judgment method, and belongs to the technical field of intelligent power grids.
Background
At present, the information automation level and the management level of a high-voltage power grid in China are higher, and compared with the prior art, the low-voltage power distribution network has the problems of more types of electric equipment, complex electricity utilization behaviors of users, low information automation level and the like. The file management confusion of the power distribution and utilization equipment is mainly reflected in that: (1) the relation between the distribution transformer and the meter box is wrong, and the meter box is divided into districts which do not belong to the distribution transformer, so that file errors are caused; (2) the house line variable relationship is not clear, and which branch the meter box belongs to cannot be clear. Automatic topology identification can automatically identify distribution transformer-meter boxes and the branch relationships to which the meter boxes belong, but a method for verifying whether the automatic topology identification is accurate is lacking.
Therefore, it is highly desirable to develop a technique capable of reversely verifying the accuracy of topology identification.
Disclosure of Invention
In order to solve the technical problems, the invention provides a line loss-based topology identification rate judgment method, which is used for calculating the line loss from the low-voltage side of a distribution transformer in a low-voltage transformer area to a meter box and the line loss from an outgoing line cabinet to the meter box based on the result of automatic topology identification and reversely verifying the accuracy rate of topology identification according to the line loss, and the specific technical scheme is as follows:
a topology identification rate judging method based on line loss comprises the following steps,
step 1: acquiring a result of automatic topology identification of a distribution transformer area, and dividing the topology result according to the hierarchy of a distribution transformer, an outlet cabinet, a branch box and a meter box;
step 2: acquiring electric quantity data of a low-voltage side of a distribution transformer, outgoing lines of an outgoing line cabinet and incoming lines of a meter box;
and step 3: the line loss rate of the low-voltage side of the distribution transformer to the meter box is calculated, the line loss rate of the outgoing line of the line cabinet to the meter box is calculated, the calculation formula is as follows,
and 4, step 4: judging whether the current line loss is within a preset range, and turning to the step 6 if the current line loss is within the preset range; if the current situation exceeds the preset range, judging the situation to be abnormal, and turning to the step 5;
and 5: classifying and judging the abnormal condition of the line loss rate, and recording the topological condition;
step 6: judging whether all branch circuits are judged completely, and if so, turning to the step 7; otherwise, turning to the step 4, and judging the line loss of the next branch;
and 7: and (5) calculating the accuracy of the topology identification according to the result analyzed by the data in the steps 5 and 6.
Further, the preset range in the step 4 is that the daily total electric quantity range is 100 kWh-300 kWh, and the reasonable range of the line loss rate is-10% < the line loss rate < 10%; the daily total electric quantity is beyond 100 kWh-300 kWh, the reasonable range of the line loss rate is-10% <15%,
the abnormal conditions are that the line loss rate is less than-10%, the line loss rate is greater than 15%, the daily total electric quantity range is 100-300 kWh, and the line loss rate is greater than 10%, and the three conditions are judged to be abnormal conditions.
Further, the classification judgment in the step 5 is specifically that if the line loss from the low-voltage side of the power distribution to the meter box is abnormal, the line loss rate is less than-10%, which indicates that the meter box not belonging to the distribution area is identified to the distribution area; the daily total electric quantity ranges from 100kWh to 300kWh, the line loss rate is greater than 10%, the daily total electric quantity is out of 100kWh to 300kWh, and the line loss rate is greater than 15%, which indicates that the transformer area has unidentified meter boxes;
if the line loss from the outgoing line cabinet to the meter box is abnormal, the line loss rate is less than-10%, which indicates that the meter box not belonging to the branch is identified to the branch; the daily total electric quantity ranges from 100kWh to 300kWh, the line loss rate is more than 10%, the daily total electric quantity is out of 100kWh to 300kWh, and the line loss rate is more than 15%, which indicates that the branch has an unidentified meter box.
Further, the process of calculating the accuracy of the topology identification in step 7 is that the accuracy is(ii) a The accuracy rate is in the range of 0,1]The more accurate theA high representation indicates that the higher the topology recognition rate of the station area,
in the formula (I), the compound is shown in the specification,the number of meter boxes identified by the station area,the number of branches of the station area, for branch i,number of identified boxes under branch, recording condition of unidentified boxesOtherwiseRecording the case where a meter box not belonging to the branch is identified to the branchOtherwise,,。
The invention has the beneficial effects that:
the invention constructs a quantitative and easy-to-operate judgment method for functional suitability, can be directly used for judging whether the low-voltage distribution area topology is accurate or not, and provides important basis and scientific support for automatic topology identification of the low-voltage distribution area.
Drawings
Figure 1 is a schematic diagram of the topology identification junction of the present invention,
fig. 2 is a flow chart of the present invention.
Detailed Description
The invention will now be described in further detail with reference to figures 1 and 2.
The line loss-based topology identification rate judgment method comprises the following specific steps (see fig. 2):
step 1: and acquiring the automatic topology identification result of the distribution transformer area, and dividing the topology result according to the hierarchy of the distribution transformer, the branch box and the meter box. Fig. 1 shows an illustration, and the identification result is distribution transformer, outlet cabinet, branch box, meter box, and topology identification result is shown in fig. 1.
Step 2: the method comprises the steps of obtaining the electric quantity of a branch node, wherein the branch node comprises electric quantity data of a low-voltage side of a distribution transformer, an outgoing line of an outgoing line cabinet and an incoming line of a meter box, and the electric quantity data collected by each node are shown in a table 1.
TABLE 1
And step 3: the line loss calculation module calculates the line loss rate from the low-voltage side of the distribution transformer to the meter box, calculates the line loss rate from the line cabinet to the meter box, and the line loss rate calculation result is shown in an attached table 2.
TABLE 2
And 4, step 4: and judging whether the current line loss is in a reasonable range. If the range is in a reasonable range, go to step 6; and if the normal range is exceeded, the step 5 is carried out.
And judging the situation that the line loss rate is less than-10%, the daily total electric quantity range is 100-300 kWh, the line loss rate is more than 10%, the daily total electric quantity range is other ranges, and the line loss rate is more than 15% as the abnormal situation.
And 5: and (4) classifying and judging the abnormal condition of the line loss rate, and recording the topological condition.
If the line loss from the low-voltage side of the power distribution to the meter box is abnormal, the line loss rate is less than-10%, and the meter box which does not belong to the distribution area is identified to the distribution area; the daily total electric quantity range is 100-300 kWh, the line loss rate is larger than 10%, the daily total electric quantity range is other ranges, the line loss rate is larger than 15%, and the fact that the table area is provided with an unidentified meter box is indicated.
If the line loss from the outgoing line cabinet to the meter box is abnormal, the line loss rate is less than-10%, which indicates that the meter box not belonging to the branch is identified to the branch; the daily total electric quantity range is 100-300 kWh, the line loss rate is larger than 10%, the daily total electric quantity range is other ranges, and the line loss rate is larger than 15%, and the branch is provided with an unidentified meter box.
Step 6: and judging whether all the branch lines are judged completely. If the judgment is finished, turning to the step 7; otherwise, turning to the step 4, and judging the line loss of the next branch.
And 7: and calculating the accuracy of the topology identification according to the analyzed result. According to the step 5, the outgoing line cabinet where the branch box 3 is located is led out to the branch of the meter box, the line loss rate is 15.35% and is more than 10%, and the meter box which is not identified is shown below the branch box 3; the outgoing line cabinet where the branch box 4 is located is led out to a branch of the meter box, the line loss rate is-31.37% and is less than 0, and the fact that one of the meter box 8, the meter box 9 and the meter box 10 does not belong to the branch box 4 is shown.
In light of the foregoing description of the preferred embodiment of the present invention, many modifications and variations will be apparent to those skilled in the art without departing from the spirit and scope of the invention. The technical scope of the present invention is not limited to the content of the specification, and must be determined according to the scope of the claims.
Claims (4)
1. A topology identification rate judgment method based on line loss is characterized in that: comprises the following steps of (a) carrying out,
step 1: acquiring a result of automatic topology identification of a distribution transformer area, and dividing the topology result according to the hierarchy of a distribution transformer, an outlet cabinet, a branch box and a meter box;
step 2: acquiring electric quantity data of a low-voltage side of a distribution transformer, outgoing lines of an outgoing line cabinet and incoming lines of a meter box;
and step 3: the line loss rate of the low-voltage side of the distribution transformer to the meter box is calculated, the line loss rate of the outgoing line of the line cabinet to the meter box is calculated, the calculation formula is as follows,
and 4, step 4: judging whether the current line loss is within a preset range, and turning to the step 6 if the current line loss is within the preset range; if the current situation exceeds the preset range, judging the situation to be abnormal, and turning to the step 5;
and 5: classifying and judging the abnormal condition of the line loss rate, and recording the topological condition;
step 6: judging whether all branch circuits are judged completely, and if so, turning to the step 7; otherwise, turning to the step 4, and judging the line loss of the next branch;
and 7: and (5) calculating the accuracy of the topology identification according to the result analyzed by the data in the steps 5 and 6.
2. The method for determining a topology identification rate based on line loss according to claim 1, wherein: in the step 4, the preset range is that the daily total electric quantity range is 100-300 kWh, and the reasonable range of the line loss rate is-10% < 10%; the daily total electric quantity is beyond 100 kWh-300 kWh, the reasonable range of the line loss rate is-10% <15%,
the abnormal conditions are that the line loss rate is less than-10%, the line loss rate is greater than 15%, the daily total electric quantity range is 100-300 kWh, and the line loss rate is greater than 10%, and the three conditions are judged to be abnormal conditions.
3. The method for determining a topology identification rate based on line loss according to claim 1, wherein: the classification judgment in the step 5 is specifically that if the line loss from the low-voltage side of the power distribution to the meter box is abnormal, the line loss rate is less than-10%, which indicates that the meter box not belonging to the distribution area is identified to the distribution area; the daily total electric quantity ranges from 100kWh to 300kWh, the line loss rate is greater than 10%, the daily total electric quantity is out of 100kWh to 300kWh, and the line loss rate is greater than 15%, which indicates that the transformer area has unidentified meter boxes;
if the line loss from the outgoing line cabinet to the meter box is abnormal, the line loss rate is less than-10%, which indicates that the meter box not belonging to the branch is identified to the branch; the daily total electric quantity ranges from 100kWh to 300kWh, the line loss rate is more than 10%, the daily total electric quantity is out of 100kWh to 300kWh, and the line loss rate is more than 15%, which indicates that the branch has an unidentified meter box.
4. The method for determining a topology identification rate based on line loss according to claim 1, wherein: the process of calculating the accuracy of the topology identification in the step 7 is that the accuracy is(ii) a The accuracy rate is in the range of 0,1]The higher the accuracy rate is, the higher the topology identification rate of the station area is represented,
in the formula (I), the compound is shown in the specification,the number of meter boxes identified by the station area,the number of branches of the station area, for branch i,number of identified boxes under branch, recording condition of unidentified boxesOtherwiseTo the existence or not ofThe meter box of a branch is identified to record the condition of the branchOtherwise,,。
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011235603.1A CN112152213B (en) | 2020-11-09 | 2020-11-09 | Line loss-based topology identification rate judgment method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011235603.1A CN112152213B (en) | 2020-11-09 | 2020-11-09 | Line loss-based topology identification rate judgment method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112152213A true CN112152213A (en) | 2020-12-29 |
CN112152213B CN112152213B (en) | 2022-02-18 |
Family
ID=73887184
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011235603.1A Active CN112152213B (en) | 2020-11-09 | 2020-11-09 | Line loss-based topology identification rate judgment method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112152213B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113113911A (en) * | 2021-03-31 | 2021-07-13 | 国网湖南省电力有限公司 | Intelligent measurement switch with topology identification function and topology identification method |
CN113270866A (en) * | 2021-06-09 | 2021-08-17 | 国网湖南省电力有限公司 | Low-voltage distribution network topology identification system and identification method |
CN114256839A (en) * | 2021-12-21 | 2022-03-29 | 青岛鼎信通讯股份有限公司 | Accurate line loss analysis method based on platform area electrical topology |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108063493A (en) * | 2017-12-25 | 2018-05-22 | 光科技股份有限公司 | A kind of method and system of quick positioning low-voltage platform area line loss |
US20180356449A1 (en) * | 2015-12-17 | 2018-12-13 | HYDRO-QUéBEC | Updating a topology of a distribution network by successive reallocation of the meters |
CN109633328A (en) * | 2018-12-25 | 2019-04-16 | 国网湖南省电力有限公司 | A kind of fixed line loss monitoring and analyzing system |
CN111047226A (en) * | 2020-03-13 | 2020-04-21 | 广东电网有限责任公司佛山供电局 | Intelligent analysis method for abnormal loss of power distribution network line |
CN111509706A (en) * | 2020-04-24 | 2020-08-07 | 广东电网有限责任公司东莞供电局 | Power supply topology information correction method, system, device and storage medium |
-
2020
- 2020-11-09 CN CN202011235603.1A patent/CN112152213B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180356449A1 (en) * | 2015-12-17 | 2018-12-13 | HYDRO-QUéBEC | Updating a topology of a distribution network by successive reallocation of the meters |
CN108063493A (en) * | 2017-12-25 | 2018-05-22 | 光科技股份有限公司 | A kind of method and system of quick positioning low-voltage platform area line loss |
CN109633328A (en) * | 2018-12-25 | 2019-04-16 | 国网湖南省电力有限公司 | A kind of fixed line loss monitoring and analyzing system |
CN111047226A (en) * | 2020-03-13 | 2020-04-21 | 广东电网有限责任公司佛山供电局 | Intelligent analysis method for abnormal loss of power distribution network line |
CN111509706A (en) * | 2020-04-24 | 2020-08-07 | 广东电网有限责任公司东莞供电局 | Power supply topology information correction method, system, device and storage medium |
Non-Patent Citations (1)
Title |
---|
夏澍 等: "电缆配电网的线-变-表拓扑异常辨识方法", 《电力***保护与控制》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113113911A (en) * | 2021-03-31 | 2021-07-13 | 国网湖南省电力有限公司 | Intelligent measurement switch with topology identification function and topology identification method |
CN113270866A (en) * | 2021-06-09 | 2021-08-17 | 国网湖南省电力有限公司 | Low-voltage distribution network topology identification system and identification method |
CN113270866B (en) * | 2021-06-09 | 2023-08-22 | 国网湖南省电力有限公司 | Topology identification system and identification method for distribution network in low-voltage transformer area |
CN114256839A (en) * | 2021-12-21 | 2022-03-29 | 青岛鼎信通讯股份有限公司 | Accurate line loss analysis method based on platform area electrical topology |
Also Published As
Publication number | Publication date |
---|---|
CN112152213B (en) | 2022-02-18 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112152213B (en) | Line loss-based topology identification rate judgment method | |
CN111817291B (en) | Low-voltage transformer area household relation identification method based on voltage correlation characteristics | |
CN111505433B (en) | Low-voltage transformer area indoor variable relation error correction and phase identification method | |
WO2020252785A1 (en) | Abnormal electricity use recognition method and device, and computer readable storage medium | |
CN107340492A (en) | Electric power meter failure analysis methods with scene anticipation are excavated based on big data | |
CN110321919A (en) | It is a kind of for the single-phase clustering method with the identification of phase relation in every family of low pressure | |
CN102522819A (en) | Record wave pattern modeling method for fault record device of intelligent transformer substation | |
CN104376371B (en) | A kind of distribution based on topology is layered load forecasting method | |
CN104537271B (en) | A kind of power distribution network bad data recognition method based on quality tab | |
CN113189418B (en) | Topological relation identification method based on voltage data | |
CN110687361A (en) | Method and system for identifying phase sequence of low-voltage distribution network area | |
CN112198375B (en) | Phase identification method, device, equipment and storage medium for single-phase user | |
CN111241656B (en) | Distribution transformer outlet voltage abnormal point detection algorithm | |
CN112366690A (en) | Low-voltage transformer area transverse node relation identification method based on strong synchronous voltage feature matching | |
CN112615428A (en) | Line loss analysis and treatment system and method | |
CN111835006A (en) | Low-voltage transformer area topology identification method based on voltage curve and least square | |
CN116845971A (en) | Automatic identification method for topological structure of photovoltaic grid-connected low-voltage transformer area | |
CN111474513A (en) | HP L C module with voltage measurement function and meter voltage error judgment method | |
CN111651448B (en) | Low-voltage topology identification method based on noise reduction differential evolution | |
CN112182499B (en) | Low-voltage distribution network topological structure identification method based on time sequence electric quantity data | |
CN117154716B (en) | Planning method and system for accessing distributed power supply into power distribution network | |
CN112132631A (en) | Label electricity utilization management method based on power customer portrait | |
CN115733258A (en) | Control method of all-indoor intelligent substation system based on Internet of things technology | |
CN113806899B (en) | Power distribution network topological relation identification method and device and mobile terminal | |
Wagner et al. | A Heuristic Process for an Automated Evaluation of Distribution Grid Expansion Planning Approaches |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |