CN111047226A - Intelligent analysis method for abnormal loss of power distribution network line - Google Patents
Intelligent analysis method for abnormal loss of power distribution network line Download PDFInfo
- Publication number
- CN111047226A CN111047226A CN202010174390.XA CN202010174390A CN111047226A CN 111047226 A CN111047226 A CN 111047226A CN 202010174390 A CN202010174390 A CN 202010174390A CN 111047226 A CN111047226 A CN 111047226A
- Authority
- CN
- China
- Prior art keywords
- distribution network
- network line
- loss
- distribution
- abnormal
- 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.)
- Pending
Links
- 230000002159 abnormal effect Effects 0.000 title claims abstract description 59
- 238000004458 analytical method Methods 0.000 title claims abstract description 49
- 238000005259 measurement Methods 0.000 claims description 21
- 238000000034 method Methods 0.000 claims description 18
- 230000005856 abnormality Effects 0.000 claims description 15
- 230000000875 corresponding effect Effects 0.000 claims description 13
- 230000009466 transformation Effects 0.000 claims description 13
- 230000002596 correlated effect Effects 0.000 claims description 6
- 230000002354 daily effect Effects 0.000 description 39
- 230000005611 electricity Effects 0.000 description 7
- 230000008901 benefit Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- 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
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to an intelligent analysis method for power distribution network line loss abnormity, which comprises the following steps: s1, acquiring distribution transformer ledger data of distribution network line power supply; s2, acquiring the electric quantity data of the distribution transformer and the electric quantity data of the supply end of the distribution network line; s3, calculating the loss of the distribution network line according to the distribution network line electric quantity data and the distribution transformer electric quantity data of S2; s4, carrying out intelligent analysis on loss abnormity and giving an abnormal reason analysis result; s5, analyzing and counting the abnormal distribution network line loss condition, outputting the distribution network line loss condition of the whole power supply enterprise, and providing support for distribution network line loss management. The intelligent analysis method for the loss abnormity of the power distribution network line can realize intelligent analysis of the reason of the loss abnormity of the power distribution network line, replaces the traditional manual line loss abnormity analysis, and has the characteristics of high working efficiency, high accuracy and the like.
Description
Technical Field
The invention relates to the field of operation management of a power distribution network, in particular to an intelligent analysis method for abnormal loss of a power distribution network line.
Background
The power distribution network is directly responsible for supplying power to users of the power grid, and as the tail end of the whole power grid, the operation management level of the power distribution network directly influences the power supply reliability of the users and the benefit of power supply enterprises. The distribution network line is used as one of key equipment in the distribution network, one end of the distribution network line is connected with a transformer substation to be connected with a power supply, and the other end of the distribution network line is connected with a distribution transformer to supply power to the distribution transformer. Distribution network line can produce the electric quantity loss in daily operation because of having resistance, simultaneously because table meter error and other management problems also can produce the electric quantity loss of management. The method has the advantages that the resistance loss of the line is reduced by optimizing the operation mode of the power grid, the operation management level is improved, the power consumption generated by management is reduced, and the method has important significance for improving the benefits of power supply enterprises.
The distribution network line loss of the current distribution network is generally based on a distribution transformer for analyzing the connection relation of distribution network lines, electric quantity data are respectively acquired from a metering automatic system according to meter information of the distribution transformer for supplying power, and line loss statistics is carried out on the electric quantity data and the meter information of the distribution network line supply end. For the line with abnormal line loss, the reason of the abnormal line loss can be obtained only by manually analyzing the line with abnormal line loss in multiple aspects through field and multi-system data. Due to the fact that the distribution network line is large in scale, manual analysis has the problems of large workload, low working efficiency and the like, and analysis of line loss reasons of the distribution network line seriously restricts the operation management level of power supply enterprises.
Based on the analysis, a technical method capable of realizing intelligent analysis of abnormal reasons of the line loss of the distribution network is urgently needed, the traditional manual work of analyzing the line loss of the distribution network is replaced, and the current urgent solution requirement is met.
Disclosure of Invention
The invention provides an intelligent analysis method for the loss abnormity of the power distribution network, aiming at overcoming the defects of low analysis efficiency and low accuracy rate of the loss abnormity of the power distribution network in the prior art.
The method comprises the following steps:
s1: and acquiring the distribution transformer ledger data for power supply of the distribution network line.
S2: the power data of the distribution transformer and the power data of the supply end of the distribution network line are obtained according to the distribution transformer of S1.
S3: and calculating the loss of the distribution network line according to the distribution network line electric quantity data of S2 and the electric quantity data of the distribution transformer.
S4: and carrying out intelligent analysis on loss abnormity according to the distribution network line loss calculated by S3, and giving an abnormal reason analysis result.
S5: according to the analysis reason of the distribution network line loss abnormity analyzed by the S4, the distribution network line loss abnormity condition is analyzed and counted, the distribution network line loss condition of the whole power supply enterprise is output, and support is provided for distribution network line loss management.
Preferably, S1 is specifically:
the method comprises the steps of establishing a data interface with a power grid asset management system, obtaining the information of the distribution transformer supplied with power by each loop of distribution network line, and using the distribution transformer ID obtained by the power grid asset management system as a unique identifier to participate in the association of the information of the distribution transformer in other systems.
Preferably, the S2 obtains the power information of the distribution network line and the distribution transformer by establishing a data interface with the metering automation system, and includes the following steps:
s2.1: the ID of the distribution network line is correlated with the ID of the metering point of the distribution network line in the metering automation system, the ID of the measuring point of the distribution network line is analyzed based on the ID of the metering point, and the daily electric quantity data of the supply end of the distribution network line is further acquired according to the ID of the measuring point of the distribution network line.
S2.2: the user number of the distribution transformer in the metering automation system is correlated through the distribution transformer ID, the metering point ID of the distribution transformer is analyzed based on the distribution transformer user number, meanwhile, the measuring point ID of the distribution transformer is analyzed based on the metering point ID, and distribution and transformation day electric quantity data are further obtained according to the distribution transformer measuring point ID.
Preferably, the S3 calculates indexes such as daily power loss and line loss of the distribution network line, where the distribution network line loss calculation formula in S3 is:
the line loss D of the distribution network line = the daily loss electric quantity A of the distribution network line/the daily electric quantity B of the feed end of the distribution network line;
the daily power loss A of the distribution network line = daily power loss B of the supply end of the distribution network line-the sum C of the daily power loss of the distribution transformer supplied by the distribution network line.
Preferably, S4 is specifically: judging whether the loss of the distribution network line is abnormal or not, if the line loss D of the distribution network line is more than or equal to-2% and less than or equal to 80%, determining that the loss of the distribution network line is normal, and outputting a judgment result; otherwise, carrying out loss anomaly analysis on the loss of the distribution network line and giving an anomaly reason analysis result.
Preferably, the distribution network line loss anomaly analysis in S4 includes: judging whether the meter code acquisition is abnormal, judging whether the measurement point is abnormal, judging whether the meter has an error, judging whether the topology of the distribution network line is abnormal, and judging whether the loss abnormality of the distribution network line is the loss of electric quantity generated by management.
Preferably, the cause of the abnormal loss of the distribution network line in S4 is determined and analyzed according to the following rule steps:
s4.1: judge whether the strapping table sign indicating number gathers unusually, if join in marriage net twine way or distribution transformer and have the strapping table sign indicating number to do not exist in measurement automation system, lead to electrical quantity data can't obtain the condition, then judge that the strapping table sign indicating number gathers unusually to output joins in marriage net twine way loss anomaly result: the meter code acquisition and uploading fails; otherwise, entering S4.2;
judging whether the measurement point is abnormal or not, if the distribution network line does not have a measurement point ID in the measurement automation system or the measurement point ID is not matched with a corresponding measurement point ID, the electric quantity of the distribution network line supply end cannot be acquired; or the distribution transformer does not have a metering point ID in the metering automation system or cannot match the corresponding measuring point ID through the metering point ID, so that the electric quantity of the distribution transformer cannot be acquired, the abnormal measuring point is judged, and the abnormal loss result of the distribution network line is output: the equipment measuring points are missing or the subordination relation does not correspond; otherwise, entering S4.2;
s4.2: judging whether the meter has errors, if the daily electric quantity B of the supply end of the distribution network line is less than or equal to 2000kWh, and the sum C of the daily electric quantities of the distribution and transformation supplied by the distribution network line is less than or equal to 2000kWh, judging that the meter has errors, and outputting a distribution network line loss abnormal result: a gauge error; otherwise, entering S4.4;
s4.3: judging whether the topology of the distribution network line is abnormal or not, if the daily highest current E of the distribution network line is obtained through the automatic master station system, the daily highest current E of the distribution network line is not less than 10A, and the sum C of the daily electric quantities of the distribution and transformation supplied by the distribution network line is equal to zero; or the daily maximum current E of the distribution network line is less than or equal to 1A, and the sum C of the daily electric quantities of the distribution and transformation supplied by the distribution network line is greater than or equal to 1000kWh, judging that the topology of the distribution network line is abnormal, and outputting a distribution network line loss abnormal result: the power supply topology of the distribution network line has problems; otherwise, entering S4.4;
s4.4: and when the loss of the distribution network line is abnormal and does not satisfy S4.1, S4.2 and S4.3, judging that the loss of the distribution network line is abnormal due to the electric quantity loss generated by management, and outputting an abnormal result of the loss of the distribution network line: other numbers of lines and corresponding line ratios.
Preferably, S5 includes:
s5.1: the method is characterized in that the loss of the distribution network line is counted to be normal by dimensions of a city, a district and a power supply station, the acquisition and uploading of meter codes fails, the equipment measurement points are missing or the dependency relationship does not correspond, the error of a meter is measured, the power supply topology of the distribution network line has problems, the number of other lines is counted, and the corresponding line proportion is calculated.
S5.2: and respectively counting the normal line loss proportion of each unit distribution network line according to dimensions of a city, a district and a power supply station.
Preferably, the normal proportion of line loss of each unit distribution network line is as follows: dividing the number of lines with the line loss D of the distribution network line being more than or equal to 2% and less than or equal to 80% by the total number of lines of the distribution network of the unit.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that: the intelligent analysis method for the loss abnormity of the power distribution network line can realize intelligent analysis of the reason of the loss abnormity of the power distribution network line, replaces the traditional line loss abnormity analysis in the manual aspect, and has the characteristics of high working efficiency, high accuracy and the like; and support is provided for enterprises to implement lean management.
The intelligent analysis of the abnormal loss of the distribution network line realizes the real-time monitoring of the loss condition of the distribution network line every day, the abnormal loss of the distribution network line can be rapidly monitored, the power consumption cost is reduced, and the economic benefit of a power supply enterprise is improved.
The abnormal intelligent analysis of the loss of the distribution network line can find out the service loss in the daily operation management, for example, the problems of metering error of a meter or inconsistency of a distribution transformer for power supply of the distribution network line with the actual condition exist, so that the closed-loop management of the daily service is realized, and the operation management level of the distribution network is greatly improved.
Drawings
Fig. 1 is a schematic diagram of an intelligent analysis method for power distribution network line loss anomaly in embodiment 1.
Fig. 2 is a flow chart of an intelligent analysis method for power distribution network line loss anomaly in embodiment 1.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent;
for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product;
it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The technical solution of the present invention is further described below with reference to the accompanying drawings and examples.
Example 1
The embodiment provides an intelligent analysis method for loss abnormality of a power distribution network line, as shown in fig. 1, fig. 1 is a working method process principle of the method, power distribution transformer account data acquisition for power supply of the power distribution network line is realized through a power grid asset management system, and meanwhile, the power distribution network line and power distribution transformer data acquisition for power supply of the power distribution network line are realized through a metering automation system. And (2) calculating the loss of the distribution network line after acquiring the account data and the electric quantity data (daily loss electric quantity A of the distribution network line = daily electric quantity B of the distribution network line at the supply end-C of the distribution transformer, and line loss D of the distribution network line = daily loss electric quantity A of the distribution network line/daily electric quantity B of the distribution network line at the supply end), and then judging whether the loss of the distribution network line is abnormal or not, if the line loss D of the distribution network line is more than or equal to-2% and less than or equal to 80%, determining that the line loss of the distribution network line is normal, and if the line loss D of the distribution network line is not in the range, determining that the loss. For the distribution network line with abnormal line loss, meter code acquisition abnormity analysis is carried out according to whether the electricity meter code of the distribution network line or a distribution transformer exists or not, the abnormity analysis of a measuring point is carried out according to whether the measuring point ID exists or not, the metering error analysis is carried out according to the daily electricity quantity B at the feeding end of the distribution network line which is not more than 2000kWh and the sum C of the daily electricity quantity of distribution and transformation supplied by the distribution network line which is not more than 2000kWh, and the topological abnormity analysis of the distribution network line is carried out by acquiring the daily highest current of the distribution network line from an automatic master station system and combining the sum C of the daily electricity quantity of distribution and transformation supplied by. For the distribution network line with abnormal line loss, if the abnormality does not exist, the reason of the abnormal distribution network line loss is judged to be other, and the abnormal distribution network line loss is mainly caused by electric quantity loss generated by management, such as electricity stealing and meter metering error. And finally, outputting the abnormal loss result of the distribution network line, and counting the distribution network line loss as normal, meter code acquisition and uploading failure, equipment measurement point loss or no correspondence of subordination, meter error, distribution network line power supply topology problems, other line returns and corresponding line proportion by using dimensions of a city, a district and a power supply station respectively.
Referring to fig. 2, the specific implementation process of the intelligent analysis method for distribution network line loss abnormality is as follows:
a1: and (4) intelligently analyzing the abnormal loss of the distribution network line, and entering A2.
A2: and (5) carrying out statistics on distribution transformer ledger data. The method comprises the steps of establishing a data interface with a power grid asset management system, obtaining the information of the distribution transformer supplied with power by each loop of distribution network line, and using the ID of the distribution transformer obtained by the power grid asset management system as a unique identifier to participate in the association of the information of the distribution transformer in other subsequent systems. Enter a 3.
A3: and (5) counting the electric quantity data of the equipment. The ID of the distribution network line is correlated with the ID of the metering point of the distribution network line in the metering automation system, the ID of the measuring point of the distribution network line is analyzed based on the ID of the metering point, and the daily electric quantity data of the supply end of the distribution network line is further acquired according to the ID of the measuring point of the distribution network line. The user number of the distribution transformer in the metering automation system is correlated through the distribution transformer ID, the metering point ID of the distribution transformer is analyzed based on the distribution transformer user number, meanwhile, the measuring point ID of the distribution transformer is analyzed based on the metering point ID, and distribution and transformation day electric quantity data are further obtained according to the distribution transformer measuring point ID. Enter a 4.
A4: and calculating the loss of the distribution network line. And calculating the daily power loss and line loss indexes of the distribution network line. The daily power loss A of the distribution network line = daily power loss B of the supply end of the distribution network line-the sum C of the daily power loss of the distribution transformer supplied by the distribution network line. And D = daily loss electric quantity A of the distribution network line/daily supply electric quantity B of the distribution network line. Enter a 5.
A5: and judging whether the loss of the distribution network line is abnormal or not. If the line loss D of the distribution network line is more than or equal to-2% and less than or equal to 80%, the distribution network line loss is determined to be normal, and the method enters A10. If the distribution network line loss D is not in the range, the distribution network line loss is determined to be abnormal, and the process enters A6.
A6: and judging whether the meter code acquisition is abnormal or not. If distribution network line or distribution transformer have the electricity meter code to exist in measurement automation system and do not exist, lead to the unable circumstances of acquireing of electric quantity data, then distribution network line loss anomaly reason judges: the uploading of the meter code acquisition fails and the A10 is entered. Otherwise, go to a 7.
And judging whether the measuring point is abnormal or not. If the distribution network line does not have a metering point ID in the metering automation system or the metering point ID is not matched with a corresponding measuring point ID, the electric quantity of a supply end of the distribution network line cannot be acquired; or the distribution transformer does not have a metering point ID in the metering automation system or cannot match a corresponding measuring point ID through the metering point ID, so that the electric quantity of the distribution transformer cannot be acquired, and the line loss reason of the distribution network line is determined as follows: the device measurement points are missing or the dependencies do not correspond, and a10 is entered. Otherwise, go to a 7.
A7: and judging whether the meter has errors or not. If the daily electric quantity B at the feeding end of the distribution network line is less than or equal to 2000kWh and the sum C of the daily electric quantities of the distribution and transformation supplied by the distribution network line is less than or equal to 2000kWh, the reason of the line loss of the distribution network line is judged as follows: meter error, and simultaneously enter a 10. Otherwise, go to A8.
A8: and judging whether the topology of the distribution network line is abnormal or not. If the daily highest current E of the distribution network line is obtained through the automatic master station system, if the daily highest current E of the distribution network line is more than or equal to 10A, and the sum C of the daily electric quantities of the distribution and transformation supplied by the distribution network line is equal to zero; or the daily maximum current E of the distribution network line is less than or equal to 1A, and the sum C of the daily electric quantities of the distribution transformer supplied by the distribution network line is greater than or equal to 1000kWh, the reason of the line loss of the distribution network line is judged as follows: the distribution network line power supply topology is in problem and the process goes to S10. Otherwise, go to a 9.
A9: when the loss of the line of the distribution network is abnormal and does not meet the requirements of A5, A6, A7 and A8, the loss of the line of the distribution network is mainly caused by the loss of electric quantity generated by management, such as electricity stealing, meter metering error and the like. Distribution network line loss anomaly reason: other numbers of lines and corresponding line ratios. And enters a 10.
A10: and outputting a loss result of the distribution network line.
A11: and analyzing and counting the abnormal loss condition of the distribution network line.
The method is characterized in that the loss of the distribution network line is counted to be normal by dimensions of a city, a district and a power supply station, the acquisition and uploading of meter codes fails, the equipment measurement points are missing or the dependency relationship does not correspond, the error of a meter is measured, the power supply topology of the distribution network line has problems, the number of other lines is counted, and the corresponding line proportion is calculated. And respectively counting the normal line loss proportion of each unit distribution network line according to dimensions of a city, a district and a power supply station. And the line loss condition of the distribution network line of the whole power supply enterprise is output, and support is provided for the line loss management of the distribution network.
The normal proportion of line loss of each unit distribution network line: dividing the number of lines with the line loss D of the distribution network line being more than or equal to 2% and less than or equal to 80% by the total number of lines of the distribution network of the unit.
The normal line loss proportion of each unit distribution network line is used for reflecting the abnormal condition of each unit line loss, and the measurement reflects the line loss management level of one unit.
The terms describing positional relationships in the drawings are for illustrative purposes only and are not to be construed as limiting the patent;
it should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (10)
1. An intelligent analysis method for power distribution network line loss abnormity is characterized by comprising the following steps:
s1: acquiring distribution transformer ledger data for power supply of a distribution network line;
s2: acquiring the electric quantity data of the distribution transformer and the electric quantity data of the supply end of the distribution network line according to the distribution transformer of S1;
s3: according to the distribution network line electric quantity data and the distribution transformer electric quantity data of S2, calculating the distribution network line loss;
s4: carrying out intelligent analysis on loss abnormity according to the distribution network line loss calculated by S3, and giving an abnormal reason analysis result;
s5: according to the analysis reason of the distribution network line loss abnormity analyzed by the S4, the distribution network line loss abnormity condition is analyzed and counted, the distribution network line loss condition of the whole power supply enterprise is output, and support is provided for distribution network line loss management.
2. The intelligent analysis method for the power distribution network line loss abnormality according to claim 1, wherein S1 specifically includes:
the method comprises the steps of establishing a data interface with a power grid asset management system, obtaining the information of the distribution transformer supplied with power by each loop of distribution network line, and using the distribution transformer ID obtained by the power grid asset management system as a unique identifier to participate in the association of the information of the distribution transformer in other systems.
3. The intelligent analysis method for the power distribution network line loss abnormality according to claim 2, wherein the S2 includes the following steps:
s2.1: the method comprises the steps that a metering point ID of a distribution network line in a metering automation system is correlated through the distribution network line ID, meanwhile, the measuring point ID of the distribution network line is analyzed based on the metering point ID, and further daily electric quantity data of a distribution network line supply end are obtained according to the distribution network line measuring point ID;
s2.2: the user number of the distribution transformer in the metering automation system is correlated through the distribution transformer ID, the metering point ID of the distribution transformer is analyzed based on the distribution transformer user number, meanwhile, the measuring point ID of the distribution transformer is analyzed based on the metering point ID, and distribution and transformation day electric quantity data are further obtained according to the distribution transformer measuring point ID.
4. The intelligent analysis method for the power distribution network line loss abnormality according to claim 3, wherein a calculation formula of the power distribution network line loss in S3 is as follows:
and D = daily loss electric quantity A of the distribution network line/daily supply electric quantity B of the distribution network line.
5. The intelligent analysis method for power distribution network line loss abnormality according to claim 4,
the daily power loss A of the distribution network line = daily power loss B of the supply end of the distribution network line-the sum C of the daily power loss of the distribution transformer supplied by the distribution network line.
6. The intelligent analysis method for the power distribution network line loss abnormality according to claim 5, wherein S4 specifically includes: judging whether the loss of the distribution network line is abnormal or not, if the line loss D of the distribution network line is more than or equal to-2% and less than or equal to 80%, determining that the loss of the distribution network line is normal, and outputting a judgment result; otherwise, carrying out loss anomaly analysis on the loss of the distribution network line and giving an anomaly reason analysis result.
7. The intelligent analysis method for the loss abnormality of the power distribution network line according to claim 6, wherein the analysis for the loss abnormality of the power distribution network line in the step S4 includes: judging whether the meter code acquisition is abnormal, judging whether the measurement point is abnormal, judging whether the meter has an error, judging whether the topology of the distribution network line is abnormal, and judging whether the loss abnormality of the distribution network line is the loss of electric quantity generated by management.
8. The intelligent analysis method for the loss abnormality of the power distribution network line according to claim 7, wherein the reason for the loss abnormality of the power distribution network line in the step S4 is judged and analyzed according to the following rule steps:
s4.1: judge whether the strapping table sign indicating number gathers unusually, if join in marriage net twine way or distribution transformer and have the strapping table sign indicating number to do not exist in measurement automation system, lead to electrical quantity data can't obtain the condition, then judge that the strapping table sign indicating number gathers unusually to output joins in marriage net twine way loss anomaly result: the meter code acquisition and uploading fails; otherwise, entering S4.2;
judging whether the measurement point is abnormal or not, if the distribution network line does not have a measurement point ID in the measurement automation system or the measurement point ID is not matched with a corresponding measurement point ID, the electric quantity of the distribution network line supply end cannot be acquired; or the distribution transformer does not have a metering point ID in the metering automation system or cannot match the corresponding measuring point ID through the metering point ID, so that the electric quantity of the distribution transformer cannot be acquired, the abnormal measuring point is judged, and the abnormal loss result of the distribution network line is output: the equipment measuring points are missing or the subordination relation does not correspond; otherwise, entering S4.2;
s4.2: judging whether the meter has errors, if the daily electric quantity B of the supply end of the distribution network line is less than or equal to 2000kWh, and the sum C of the daily electric quantities of the distribution and transformation supplied by the distribution network line is less than or equal to 2000kWh, judging that the meter has errors, and outputting a distribution network line loss abnormal result: a gauge error; otherwise, entering S4.4;
s4.3: judging whether the topology of the distribution network line is abnormal or not, if the daily highest current E of the distribution network line is obtained through the automatic master station system, the daily highest current E of the distribution network line is not less than 10A, and the sum C of the daily electric quantities of the distribution and transformation supplied by the distribution network line is equal to zero; or the daily maximum current E of the distribution network line is less than or equal to 1A, and the sum C of the daily electric quantities of the distribution and transformation supplied by the distribution network line is greater than or equal to 1000kWh, judging that the topology of the distribution network line is abnormal, and outputting a distribution network line loss abnormal result: the power supply topology of the distribution network line has problems; otherwise, entering S4.4;
s4.4: and when the loss of the distribution network line is abnormal and does not satisfy S4.1, S4.2 and S4.3, judging that the loss of the distribution network line is abnormal due to the electric quantity loss generated by management, and outputting an abnormal result of the loss of the distribution network line: other numbers of lines and corresponding line ratios.
9. The method for intelligently analyzing the line loss abnormality of the power distribution network according to claim 8, wherein the step S5 includes:
s5.1: respectively counting the loss of the distribution network line as normal, the acquisition and uploading failure of meter codes, the missing of equipment measurement points or the non-correspondence of the subordinate relationship, the error of a meter, the existence of problems in the distribution network line power supply topology, the number of other lines and the corresponding line proportion by the dimensions of a city, a regional bureau and a power supply station;
s5.2: and respectively counting the normal line loss proportion of each unit distribution network line according to dimensions of a city, a district and a power supply station.
10. The intelligent analysis method for the abnormal loss of the power distribution network lines according to claim 9, wherein the normal proportion of the line loss of each unit of the power distribution network lines is as follows: dividing the number of lines with the line loss D of the distribution network line being more than or equal to 2% and less than or equal to 80% by the total number of lines of the distribution network of the unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010174390.XA CN111047226A (en) | 2020-03-13 | 2020-03-13 | Intelligent analysis method for abnormal loss of power distribution network line |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010174390.XA CN111047226A (en) | 2020-03-13 | 2020-03-13 | Intelligent analysis method for abnormal loss of power distribution network line |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111047226A true CN111047226A (en) | 2020-04-21 |
Family
ID=70231048
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010174390.XA Pending CN111047226A (en) | 2020-03-13 | 2020-03-13 | Intelligent analysis method for abnormal loss of power distribution network line |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111047226A (en) |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111579928A (en) * | 2020-05-25 | 2020-08-25 | 国网江苏省电力有限公司无锡供电分公司 | Distribution line loss analysis method and analysis device |
| CN111654102A (en) * | 2020-05-15 | 2020-09-11 | 国网上海市电力公司 | Intelligent diagnosis system for abnormal state of spare power automatic switching of 10kV power distribution station |
| CN112152213A (en) * | 2020-11-09 | 2020-12-29 | 江苏智臻能源科技有限公司 | Line loss-based topology identification rate judgment method |
| CN113109658A (en) * | 2021-06-16 | 2021-07-13 | 广东电网有限责任公司佛山供电局 | Line loss analysis method and device |
| CN113205431A (en) * | 2021-07-07 | 2021-08-03 | 广东电网有限责任公司佛山供电局 | Multi-source account data abnormity monitoring system and method for distribution network line |
| CN113282594A (en) * | 2021-07-26 | 2021-08-20 | 广东电网有限责任公司佛山供电局 | Automatic extraction and analysis method and system for basic data of distribution transformer |
| CN113283096A (en) * | 2021-05-31 | 2021-08-20 | 广东电网有限责任公司 | Method for acquiring distribution network line account data and analyzing abnormal data and related device |
| CN113313422A (en) * | 2021-06-24 | 2021-08-27 | 广东电网有限责任公司 | Topological structure-based power distribution network line loss calculation method and related device |
| CN114167200A (en) * | 2021-11-04 | 2022-03-11 | 合肥中能电力科技有限公司 | Intelligent studying and judging algorithm applied to energy management |
| CN114236283A (en) * | 2021-12-15 | 2022-03-25 | 广东电网有限责任公司 | Method and device for determining line loss reason of power supply network |
| CN114325495A (en) * | 2021-12-20 | 2022-04-12 | 山东汇能电气有限公司 | Operation protection method for distribution transformer based on loss comparison |
| CN114387125A (en) * | 2021-12-23 | 2022-04-22 | 国网天津市电力公司营销服务中心 | Line loss analysis and management system for power equipment |
| CN114441892A (en) * | 2021-12-27 | 2022-05-06 | 国网江西省电力有限公司电力科学研究院 | 10kV line abnormal line loss distribution transformer positioning method |
| CN114528951A (en) * | 2022-04-24 | 2022-05-24 | 广东电网有限责任公司佛山供电局 | Distribution network line single line diagram abnormity diagnosis and analysis method, system and device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107039970A (en) * | 2017-03-13 | 2017-08-11 | 广东电网有限责任公司信息中心 | Gong Biantai areas line loss per unit abnormal cause detection method and system |
| CN109977535A (en) * | 2019-03-22 | 2019-07-05 | 南方电网科学研究院有限责任公司 | A kind of line loss abnormality diagnostic method, device, equipment and readable storage medium storing program for executing |
| CN110442625A (en) * | 2019-06-18 | 2019-11-12 | 国网甘肃省电力公司电力科学研究院 | A kind of same period line loss comparative analysis method based on theoretical line loss caluclation |
-
2020
- 2020-03-13 CN CN202010174390.XA patent/CN111047226A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107039970A (en) * | 2017-03-13 | 2017-08-11 | 广东电网有限责任公司信息中心 | Gong Biantai areas line loss per unit abnormal cause detection method and system |
| CN109977535A (en) * | 2019-03-22 | 2019-07-05 | 南方电网科学研究院有限责任公司 | A kind of line loss abnormality diagnostic method, device, equipment and readable storage medium storing program for executing |
| CN110442625A (en) * | 2019-06-18 | 2019-11-12 | 国网甘肃省电力公司电力科学研究院 | A kind of same period line loss comparative analysis method based on theoretical line loss caluclation |
Non-Patent Citations (2)
| Title |
|---|
| 林卓琼: "《线损精细化计算与评估方法的应用研究》", 《中国优秀硕士论文全文数据库 工程科技II辑》 * |
| 王圣竹: "《基于计量自动化系统的10kV分线线损异常自动排查应用研究》", 《中国优秀硕士论文全文数据库 工程科技II辑》 * |
Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111654102A (en) * | 2020-05-15 | 2020-09-11 | 国网上海市电力公司 | Intelligent diagnosis system for abnormal state of spare power automatic switching of 10kV power distribution station |
| CN111654102B (en) * | 2020-05-15 | 2024-03-29 | 国网上海市电力公司 | 10 kilovolt distribution station spare power automatic switching abnormal state intelligent diagnosis system |
| CN111579928B (en) * | 2020-05-25 | 2022-03-15 | 国网江苏省电力有限公司无锡供电分公司 | Distribution line loss analysis method and analysis device |
| CN111579928A (en) * | 2020-05-25 | 2020-08-25 | 国网江苏省电力有限公司无锡供电分公司 | Distribution line loss analysis method and analysis device |
| CN112152213B (en) * | 2020-11-09 | 2022-02-18 | 江苏智臻能源科技有限公司 | Line loss-based topology identification rate judgment method |
| CN112152213A (en) * | 2020-11-09 | 2020-12-29 | 江苏智臻能源科技有限公司 | Line loss-based topology identification rate judgment method |
| CN113283096A (en) * | 2021-05-31 | 2021-08-20 | 广东电网有限责任公司 | Method for acquiring distribution network line account data and analyzing abnormal data and related device |
| CN113283096B (en) * | 2021-05-31 | 2023-01-24 | 广东电网有限责任公司 | Method for acquiring distribution network line account data and analyzing abnormal data and related device |
| CN113109658A (en) * | 2021-06-16 | 2021-07-13 | 广东电网有限责任公司佛山供电局 | Line loss analysis method and device |
| CN113313422A (en) * | 2021-06-24 | 2021-08-27 | 广东电网有限责任公司 | Topological structure-based power distribution network line loss calculation method and related device |
| CN113313422B (en) * | 2021-06-24 | 2023-03-14 | 广东电网有限责任公司 | Topological structure-based power distribution network line loss calculation method and related device |
| CN113205431A (en) * | 2021-07-07 | 2021-08-03 | 广东电网有限责任公司佛山供电局 | Multi-source account data abnormity monitoring system and method for distribution network line |
| CN113282594B (en) * | 2021-07-26 | 2021-12-10 | 广东电网有限责任公司佛山供电局 | Automatic extraction and analysis method and system for basic data of distribution transformer |
| CN113282594A (en) * | 2021-07-26 | 2021-08-20 | 广东电网有限责任公司佛山供电局 | Automatic extraction and analysis method and system for basic data of distribution transformer |
| CN114167200A (en) * | 2021-11-04 | 2022-03-11 | 合肥中能电力科技有限公司 | Intelligent studying and judging algorithm applied to energy management |
| CN114236283B (en) * | 2021-12-15 | 2024-02-13 | 广东电网有限责任公司 | Method and device for determining line loss reason of power supply network |
| CN114236283A (en) * | 2021-12-15 | 2022-03-25 | 广东电网有限责任公司 | Method and device for determining line loss reason of power supply network |
| CN114325495B (en) * | 2021-12-20 | 2022-09-13 | 山东汇能电气有限公司 | Operation protection method for distribution transformer based on loss comparison |
| CN114325495A (en) * | 2021-12-20 | 2022-04-12 | 山东汇能电气有限公司 | Operation protection method for distribution transformer based on loss comparison |
| CN114387125A (en) * | 2021-12-23 | 2022-04-22 | 国网天津市电力公司营销服务中心 | Line loss analysis and management system for power equipment |
| CN114441892A (en) * | 2021-12-27 | 2022-05-06 | 国网江西省电力有限公司电力科学研究院 | 10kV line abnormal line loss distribution transformer positioning method |
| CN114528951A (en) * | 2022-04-24 | 2022-05-24 | 广东电网有限责任公司佛山供电局 | Distribution network line single line diagram abnormity diagnosis and analysis method, system and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111047226A (en) | Intelligent analysis method for abnormal loss of power distribution network line | |
| CN102928809B (en) | Electric energy metering device remote monitoring diagnostic system and working method thereof | |
| CN105915398B (en) | Rural power grid fault based rapid detection and power restoration system and concentrator detection method thereof | |
| US20050116836A1 (en) | Method and apparatus for monitoring power consumption on power distribution circuits for centralized analysis | |
| CN112346000B (en) | Intelligent electric energy meter operation error data statistical processing system and method | |
| CN113283096B (en) | Method for acquiring distribution network line account data and analyzing abnormal data and related device | |
| CN109001579A (en) | Measurement data acquisition equipment, method and apparatus | |
| CN111027026A (en) | Meter reading data abnormity intelligent diagnosis system | |
| CN109828229A (en) | Electric energy data transmits consistency desired result method between a kind of multiservice system | |
| CN113205431A (en) | Multi-source account data abnormity monitoring system and method for distribution network line | |
| CN108776856A (en) | A kind of electric power account data verification method and device based on the relationship of tracing to the source | |
| CN112560214A (en) | Transformer substation bus balance fault diagnosis method, system, equipment and storage medium | |
| CN105207836A (en) | Method for quickly testing consistency of PQDIF (Power Quality Data Interchange Format) files | |
| CN112505614B (en) | Intelligent electric energy meter online monitoring system and method | |
| CN109443395B (en) | Method and system for judging whether energy consumption intensity multipoint measurement difference value exceeds limit value | |
| CN113570076B (en) | On-line operation and maintenance management platform for gateway metering device of unified power plant | |
| CN113824109B (en) | Regional topology network power consumption data consistency accounting method | |
| CN110942236B (en) | Abnormal user identification method for comprehensive power failure record and power consumption data | |
| JP5878141B2 (en) | Power charge calculation device and power charge calculation program | |
| CN111478340A (en) | Distribution network line reactive compensation condition analysis method | |
| CN216013521U (en) | Main network transformer substation electric energy data abnormity monitoring system | |
| CN109146710B (en) | Method and system for judging abnormal state of energy price parameter of metering equipment | |
| CN115951297A (en) | Method and system for identifying abnormal data acquisition state of user ammeter | |
| CN109283880B (en) | Method and system for judging overlarge energy supply flow difference value | |
| CN117691543B (en) | Active single-phase ground fault alarm feedback method and device |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200421 |