CN115267422A - Sensing, diagnosing and positioning method for line faults of complex power distribution network - Google Patents
Sensing, diagnosing and positioning method for line faults of complex power distribution network Download PDFInfo
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- CN115267422A CN115267422A CN202210764486.0A CN202210764486A CN115267422A CN 115267422 A CN115267422 A CN 115267422A CN 202210764486 A CN202210764486 A CN 202210764486A CN 115267422 A CN115267422 A CN 115267422A
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- 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
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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- 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
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- 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
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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Abstract
The invention provides a perception diagnosis positioning method for complex power distribution network line faults, belonging to the technical field of perception diagnosis positioning of power distribution network line faults; the technical problem to be solved is as follows: the improvement of a perception diagnosis positioning method for the line fault of the complex power distribution network is provided; the technical scheme for solving the technical problems is as follows: the method comprises the following steps: s1: acquiring static data and dynamic data of distribution lines of each node on a complex distribution network line, wherein the static data comprises a user file and graph topology data, and the dynamic data comprises a line load curve and power factor data; s2: abnormal data clustering characteristics of different faults are analyzed for the line abnormal data through an abnormal data clustering algorithm; s3: different fault repairing schemes are given according to different abnormal data clustering characteristics; the invention is applied to complex power distribution network lines.
Description
Technical Field
The invention provides a perception diagnosis positioning method for complex power distribution network line faults, and belongs to the technical field of perception diagnosis positioning of power distribution network line faults.
Background
Along with the continuous increase of the access proportion of the multi-type distributed power supply, the power electronic load and the coal-to-electricity load are increased day by day, the structure of the power distribution network is complex day by day, the trend of multi-source and power electronics is presented, and the real-time perception and positioning recognition of the distribution network fault is influenced. At present, the diagnosis and the troubleshooting of the circuit faults of the complex power distribution network mainly adopt the manual calling of data recorded by a system, and then the faults are confirmed and repaired through manual calculation or actual troubleshooting, so that the efficiency is low.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to solve the technical problems that: an improvement of a perception diagnosis positioning method for complex power distribution network line faults is provided.
In order to solve the technical problems, the invention adopts the technical scheme that: a perception diagnosis positioning method for complex power distribution network line faults comprises the following steps:
s1: acquiring static data and dynamic data of distribution lines of each node on a complex distribution network line, wherein the static data comprises a user file and graph topology data, and the dynamic data comprises a line load curve and power factor data;
s2: analyzing abnormal data clustering characteristics of different faults for the line abnormal data through an abnormal data clustering algorithm;
s3: and different fault repairing schemes are given according to different abnormal data clustering characteristics.
The data obtained in the step S1 mainly comprises user electric energy meters, acquisition terminals of distribution lines of all nodes, station area gateways and high-voltage user charging meters, and the obtained data comprises date and month line loss data of the distribution lines of all nodes on the complex distribution network lines, date and month line loss data of the public transformer station areas.
The line abnormal data comprises abnormal opening record of the electric energy meter, current out-of-limit and power abnormality.
The abnormal data clustering characteristics comprise a surface-bottom jump fault, an acquisition terminal fault and a long-term high-loss line electricity stealing fault.
And the meter bottom jump fault is obtained by performing linear regression on data of a user electric energy meter or a station gateway and a high-voltage user charging meter, and calculating abnormal data of daily jump, monthly jump, positive jump and negative jump to generate a meter bottom jump fault list.
The specific judgment logic of the table bottom jump fault is as follows:
calculating according to the classification of the metering point types, wherein the types comprise: high supply low meter, high supply high meter, low supply low meter;
when the comprehensive multiplying power of the electric meter is 1, calculating positive and negative jump of high supply low metering and low supply low metering according to the positive active power difference value and the reverse active power difference value, wherein the positive and negative jump is more than 1000;
when the comprehensive multiplying power of the electric meter is not 1, calculating positive and negative jumping of high power supply low metering and low power supply low metering according to the positive active power difference value and the reverse active power difference value which are more than 99;
when the comprehensive multiplying power is not involved, calculating positive and negative jumping of high supply and high count according to the difference value of positive active power and reverse active power being more than 36;
the logic for studying and judging the jump of the super capacity: and the measurement point capacity is multiplied by 24 hours and then multiplied by 80 percent, the measurement point capacity is compared with the daily electric quantity, the measurement point capacity is judged to be over capacity jump when the measurement point capacity is smaller than the daily electric quantity, and the monthly jump is calculated by multiplying the daily calculation logic by 30.
The method comprises the steps that collection terminal faults comprise meter changing recording errors and data analysis abnormity, the collection terminal faults extract electric energy meter freezing data, when the collection terminal cannot directly call the electric energy meter freezing data, the electric energy meter can transmit cached historical data or curve data to the collection terminal to cause jumping.
The long-term high-loss line electricity stealing fault is positioned through the cover opening record of the electric energy meter, associated users are researched and judged by combining the historical line loss rate curve and the cover opening record of users under the line, namely users with line loss curve inflection points and cover opening records matched, an early warning list is generated, or daily and monthly electricity consumption and reported capacity of high-voltage users carried under the line are compared and analyzed according to capacity-load comparison, users with ultra-large capacity-load ratios are analyzed, and meanwhile, the capacity-load ratios are jointly analyzed according to the maximum value and the average value, and abnormal users are positioned.
Compared with the prior art, the invention has the beneficial effects that: according to the sensing, diagnosing and positioning method for the line fault of the complex power distribution network, the returned information is collected for the electrical equipment in the distribution network distribution line, the workload of manual study and judgment analysis is reduced, the efficiency of line loss abnormal data treatment is improved, abnormal data clustering analysis and integration are carried out, static data such as customer files and graphic topologies and dynamic data such as load curves and power factors are provided, a set of intelligent study and judgment system for line loss abnormal monitoring, abnormal movement positioning, truth regression analysis and auxiliary decision of the distribution network line is formed, the intelligent level of line loss management is improved in an assisting mode, and the efficiency of line loss abnormal data treatment of the distribution network line is improved.
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The invention is further described below with reference to the accompanying drawings:
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
As shown in fig. 1, the sensing, diagnosing and positioning method for complex distribution network line faults of the present invention includes the following steps:
s1: the method comprises the steps of obtaining static data and dynamic data of distribution lines of all nodes on a complex distribution network line, wherein the static data comprises user files and graph topology data, and the dynamic data comprises line load curves and power factor data;
s2: abnormal data clustering characteristics of different faults are analyzed for the line abnormal data through an abnormal data clustering algorithm;
s3: and different fault repairing schemes are given according to different abnormal data clustering characteristics.
The data obtained in the step S1 mainly passes through a user electric energy meter, an acquisition terminal of each node distribution line, a platform district gateway and a high-voltage user billing meter, and the obtained data comprises distribution line date and month line loss data of each node on a complex distribution network line, and public transformer platform district date and month line loss data.
The line abnormal data comprises abnormal opening record of the electric energy meter, current out-of-limit and power abnormality.
The abnormal data clustering characteristics comprise a surface-bottom jump fault, an acquisition terminal fault and a long-term high-loss line electricity stealing fault.
And the meter bottom jump fault is obtained by performing linear regression on data of a user electric energy meter or a platform gateway and the data of a high-voltage user billing meter for a period of time, and calculating abnormal data of daily jump, monthly jump, positive jump and negative jump to generate a meter bottom jump fault list.
The specific judgment logic of the table bottom jump fault is as follows:
calculating according to the classification of the metering point types, wherein the types comprise: high supply low meter, high supply high meter, low supply low meter;
when the comprehensive multiplying power of the electric meter is 1, calculating positive and negative jump of high supply low metering and low supply low metering according to the positive active power difference value and the reverse active power difference value, wherein the positive and negative jump is more than 1000;
when the comprehensive multiplying power of the electric meter is not 1, calculating positive and negative jumping of high power supply low metering and low power supply low metering according to the positive active power difference value and the reverse active power difference value which are more than 99;
when the comprehensive multiplying power is not involved, calculating positive and negative jumping of high supply and high count according to the difference value of positive active power and reverse active power being more than 36;
the logic for judging the ultra-tolerant jump: and (4) multiplying the capacity of the metering point by 24 hours and then multiplying by 80 percent, comparing the capacity with the daily electric quantity, judging that the capacity is less than the daily electric quantity to be a super capacity jump, and calculating the monthly jump by multiplying the daily calculation logic by 30.
The method comprises the steps that the faults of the acquisition terminal comprise meter change recording errors and data analysis abnormity, the electric energy meter freezing data are extracted when the acquisition terminal fails to directly call the electric energy meter freezing data, and the electric energy meter can transmit cached historical data or curve data to the acquisition terminal to cause jumping.
The long-term high-loss line electricity stealing faults are positioned through the uncovering records of the electric energy meter, associated users are researched and judged by combining a historical line loss rate curve and the uncovering records of users under the line, namely, the inflection point of the line loss curve is matched with the uncovering records of the users, an early warning list is generated, or according to capacity-to-charge comparison, the users with overlarge capacity-to-charge ratios are analyzed by comparing and analyzing daily and monthly electricity consumption and the reported capacity of high-voltage users carried under the line, and meanwhile, the capacity-to-charge ratios are jointly analyzed according to the maximum value and the average value, and abnormal users are positioned.
The core idea of the perception diagnosis positioning method for the line fault of the complex distribution network is that abnormal data clustering analysis is carried out on line loss data of distribution lines of all nodes on the complex distribution network line in the day and the month, an intelligent research and judgment analysis strategy based on big data such as voltage, current, power factors, table codes and the like is provided, whether a computer table of a table meter for charging high-voltage users of all station area nodes in the line has problems is checked after the line has problems is researched and judged, and all station area gateways and high-voltage user charging table meters are comprehensively checked and analyzed according to the problems; in addition, aiming at the daily and monthly line loss data of the public transformer area, and combining with the static archive data of the user and the load dynamic curve, linkage analysis is carried out, intelligent judging and analyzing strategies (including but not limited to carrying out anti-electricity-stealing analysis and the like) based on uncapping record abnormal movement, current out-of-limit, power abnormity and the like are provided, and accordingly, all low-voltage users are comprehensively checked, analyzed, sensed and positioned at fault points.
Wherein the abnormal data in the abnormal data cluster analysis comprises: the voltage anomaly includes: the voltage of one phase or several phases is 0, the voltage of one phase is lower than 90% of the rated value, and the voltage of one phase is higher than 107% of the rated value; the current abnormity comprises that the current on the line is detected to be negative and is abnormal; the reverse active abnormity comprises that the reverse active total electric quantity is increased and the non-photovoltaic user is abnormal; the abnormal collection comprises that the electric quantity of a qualified line of the bottom meter of the electric energy meter is not empty, and the electric quantity of an unqualified line is empty, so that the abnormal collection is performed; and (4) eliminating abnormal data by clustering analysis of the voltage, the current, the reverse active power and the collection abnormality without retaining abnormal power factors.
The static data generally refers to a user account, specifically includes account information such as user information user name, table number, metering point, belonging line and the like, and is linked with the dynamic data to be embodied as unqualified line data on a certain day and qualified data of the account line, if the number of the metering point under the line is found to be less, the line variation of the line is normal, the line variation is reduced in abnormality, and the number of the metering point is increased in contrast.
The abnormal data clustering characteristics of the invention comprise the following contents:
(1) and (3) surface and bottom jump faults: the jump of the table bottom jump refers to the situation that the electric quantity calculation is abnormal when the table bottom is abnormally suddenly changed at the metering point. The jump is mainly determined based on the loop ratio or the geometric variation, and for example, it can be considered that the jump occurs because the value obtained by subtracting the previous day from yesterday is greatly deviated from the value obtained by subtracting the previous day from yesterday 150 today, and this deviation is large. The jump variation is divided into daily jump and monthly jump, and positive jump and negative jump need to be distinguished, the specific calculation and judgment logics are as follows (the calculation logics are calculated according to the type of the metering points, and the types comprise high supply and low supply): when the comprehensive multiplying power of the electric energy meter is 1, high power supply and low power supply are counted, and positive and negative jumping is calculated according to the positive active difference value and the reverse active difference value which are both larger than 1000. When the comprehensive multiplying power of the electric energy meter is not 1, high power supply and low power supply are counted, and positive and negative jumping are calculated according to the positive active power difference value and the reverse active power difference value of more than 99. When the comprehensive multiplying power is not involved, the high power supply and high counter are calculated, and the positive and negative jump is calculated according to the difference value of positive active power and reverse active power which is more than 36. The logic for judging the ultra-tolerant jump: and (4) multiplying the capacity of the metering point by 24 hours and then multiplying by 80 percent, comparing the capacity with the daily electric quantity, judging that the capacity is less than the daily electric quantity to be a super capacity jump, and calculating the monthly jump by multiplying the daily calculation logic by 30.
And (3) repair suggestion:
if the line loss rate of the distribution line (or the distribution area) is stable and reaches the standard except for the jumping influence day (two days before and after), the situation that the acquisition parameters are abnormal in field disposal is considered, early warning can be carried out, and a work order is not generated.
If the line loss rate of the distribution line (or the distribution area) greatly fluctuates except for the jumping influence day (two days before and after), the situation that a work order needs to be generated and the site disposal is caused due to the abnormal parameter setting of the acquisition terminal is considered.
(2) Collecting a fault of a terminal (electric energy meter): the problems mainly occur in a distribution room examination table and a high-voltage user billing table, most of the problems are caused by poor field acquisition quality, so that an acquisition terminal cannot directly call frozen data of the electric energy meter, and the cached historical data or curve data are wrongly returned. And (4) jumping measurement points appear, and after data of jumping days are eliminated, the surface bottom is continuous and stable without large fluctuation.
The specific faults are as follows: and the acquisition terminal changes the table to record errors and data analysis (transmission) abnormity.
And (3) repair suggestion:
and (4) performing linkage analysis by combining the line or the platform area, and performing early warning if the line or the platform area fluctuates greatly. If the surface bottom is lost for two or more consecutive days, a work order is generated and is distributed to a professional department for disposal.
(3) And (3) long-term high-loss line anti-electricity-stealing fault: the anti-electricity-stealing positioning analysis is performed aiming at long-term high-loss lines, especially hidden electricity-stealing cannot be judged through electric quantity information, and accurate positioning can be performed through cover opening records.
And (3) repair suggestion:
by changing a secondary circuit or an internal metering unit of the electric energy meter, abnormal uncapping records inevitably exist. Aiming at long-term high-loss lines, associated users are researched and judged by combining a historical line loss rate curve and uncapping records of users under the lines, namely users with line loss curve inflection points and uncapping records matched, an early warning list is generated, and analysis and positioning can be conveniently carried out by a front-line worker. Or the daily and monthly electricity consumption and the installation capacity of high-voltage users under the line can be compared and analyzed according to the capacity-load comparison, and users with overlarge capacity-load ratio are mainly analyzed. And simultaneously, carrying out combined analysis on the capacity-to-load ratio according to the maximum value and the average value, and positioning abnormal users.
It should be noted that, regarding the specific structure of the present invention, the connection relationship between the modules of each component adopted in the present invention is determined and can be achieved, except for the specific description in the embodiment, the specific connection relationship can bring corresponding technical effects, and the technical problem proposed by the present invention is solved on the premise of not depending on the execution of corresponding software programs, the types and connection manners of the components, modules and specific components in the present invention, except for the specific description, all belong to the prior art such as published patents, published papers and periodicals, or common general knowledge that can be acquired by the technicians in the field before the application date, and no description is needed, so that the technical solution provided by the present application is clear, complete and achievable, and the corresponding entity product can be reproduced or obtained according to the technical means.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A perception diagnosis positioning method for complex distribution network line fault is characterized in that: the method comprises the following steps:
s1: the method comprises the steps of obtaining static data and dynamic data of distribution lines of all nodes on a complex distribution network line, wherein the static data comprises user files and graph topology data, and the dynamic data comprises line load curves and power factor data;
s2: analyzing abnormal data clustering characteristics of different faults for the line abnormal data through an abnormal data clustering algorithm;
s3: and different fault repairing schemes are given according to different abnormal data clustering characteristics.
2. The method for perceptual diagnosis and location of line faults of the complex power distribution network according to claim 1, wherein the method comprises the following steps: the data obtained in the step S1 mainly passes through a user electric energy meter, an acquisition terminal of each node distribution line, a platform district gateway and a high-voltage user billing meter, and the obtained data comprises distribution line date and month line loss data of each node on a complex distribution network line, and public transformer platform district date and month line loss data.
3. The method for perception diagnosis positioning of the line fault of the complex power distribution network according to claim 1, wherein: the line abnormal data comprises abnormal opening record of the electric energy meter, current out-of-limit and power abnormality.
4. The method for perceptual diagnosis and location of line faults of the complex power distribution network according to claim 1, wherein the method comprises the following steps: the abnormal data clustering characteristics comprise a meter bottom jumping fault, a collection terminal fault and a long-term high-loss line electricity stealing fault.
5. The method for perception diagnosis and location of the line fault of the complex power distribution network according to claim 4, wherein the method comprises the following steps: and the meter bottom jump fault is obtained by performing linear regression on data of a user electric energy meter or a station gateway and a high-voltage user charging meter, and calculating abnormal data of daily jump, monthly jump, positive jump and negative jump to generate a meter bottom jump fault list.
6. The method for perceptual diagnosis and location of line faults of the complex power distribution network according to claim 5, wherein the method comprises the following steps: the specific judgment logic of the table bottom jump fault is as follows:
the calculation is carried out according to the classification of the metering point types, and the types comprise: high supply low meter, high supply high meter, low supply low meter;
when the comprehensive multiplying power of the electric meter is 1, calculating positive and negative jump of high supply low metering and low supply low metering according to the positive active power difference value and the reverse active power difference value, wherein the positive and negative jump is more than 1000;
when the comprehensive multiplying power of the electric meter is not 1, calculating positive and negative jumping of high power supply low metering and low power supply low metering according to the positive active power difference value and the reverse active power difference value which are more than 99;
when the comprehensive multiplying power is not involved, calculating positive and negative jumping of high power supply and high power supply according to the difference value of the positive active power and the reverse active power being more than 36;
the logic for studying and judging the jump of the super capacity: and (4) multiplying the capacity of the metering point by 24 hours and then multiplying by 80 percent, comparing the capacity with the daily electric quantity, judging that the capacity is less than the daily electric quantity to be a super capacity jump, and calculating the monthly jump by multiplying the daily calculation logic by 30.
7. The method for perception diagnosis and location of the line fault of the complex power distribution network according to claim 4, wherein the method comprises the following steps: the method comprises the steps that the faults of the acquisition terminal comprise meter change recording errors and data analysis abnormity, the electric energy meter freezing data are extracted when the acquisition terminal fails to directly call the electric energy meter freezing data, and the electric energy meter can transmit cached historical data or curve data to the acquisition terminal to cause jumping.
8. The method for perception diagnosis and location of the line fault of the complex power distribution network according to claim 4, wherein the method comprises the following steps: the long-term high-loss line electricity stealing fault is positioned through the cover opening record of the electric energy meter, associated users are researched and judged by combining the historical line loss rate curve and the cover opening record of users under the line, namely users with line loss curve inflection points and cover opening records matched, an early warning list is generated, or daily and monthly electricity consumption and reported capacity of high-voltage users carried under the line are compared and analyzed according to capacity-load comparison, users with ultra-large capacity-load ratios are analyzed, and meanwhile, the capacity-load ratios are jointly analyzed according to the maximum value and the average value, and abnormal users are positioned.
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| CN117216706A (en) * | 2023-11-09 | 2023-12-12 | 国网浙江省电力有限公司杭州供电公司 | Power distribution network data anomaly tracing method, system, computer equipment and medium |
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| CN117216706A (en) * | 2023-11-09 | 2023-12-12 | 国网浙江省电力有限公司杭州供电公司 | Power distribution network data anomaly tracing method, system, computer equipment and medium |
| CN117216706B (en) * | 2023-11-09 | 2024-02-09 | 国网浙江省电力有限公司杭州供电公司 | Power distribution network data anomaly tracing method, system, computer equipment and medium |
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