CN111008778A - Method and system for diagnosing abnormity of metering points of transformer area - Google Patents
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Abstract
The invention relates to a method for diagnosing the abnormity of a metering point of a distribution room, which is characterized by comprising the following steps: the method comprises the following steps: (1) collecting and processing mass data in an application system; (2) establishing a platform area metering point abnormity diagnosis model, and finding out the attribution of platform area metering abnormity; (3) and establishing an evaluation model, and evaluating the health condition of the diagnosis result of the abnormal metering point of the transformer area. According to the method, the abnormal diagnosis model of the station measurement point is established by determining the station measurement abnormal index system, so that the one-key type intelligent health check-up of the station measurement is realized, and the customer requirements and problems are quickly and accurately responded.
Description
Technical Field
The invention belongs to the technical field of abnormal treatment of transformer areas, and particularly relates to a transformer area metering point abnormity diagnosis method and system.
Background
The electricity utilization information acquisition system covered by the national network at the end of 2014 has realized the comprehensive coverage of all power users and gateways, realizes the online monitoring of metering devices and the real-time acquisition of important information such as user load, electric quantity, voltage and the like, can timely, completely and accurately provide basic data for advanced analysis and assistant decision research of related systems, and provides a solid information foundation for realizing intelligent bidirectional interaction of electric energy meters.
The current situation that the number of the current low-voltage transformer areas is large and the construction conditions are uneven causes that the transformer areas face a plurality of problems to be solved urgently in the process of improving the management level, and the problems of abnormal electricity stealing of the transformer areas, error of comprehensive multiplying power, overlarge transformer transformation ratio, error of a clock, error of an electric energy meter, unbalanced three phases, wiring error and the like exist.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method and a system for diagnosing the abnormity of a metering point of a distribution room.
The technical problem to be solved by the invention is realized by adopting the following technical scheme:
a method for diagnosing the abnormality of a metering point of a distribution room comprises the following steps:
(1) collecting and processing mass data in an application system;
(2) establishing a platform area metering point abnormity diagnosis model, and finding out the attribution of platform area metering abnormity;
(3) and establishing an evaluation model, and evaluating the health condition of the diagnosis result of the abnormal metering point of the transformer area.
Moreover, the application system comprises a marketing service application system, a PMS system, a collection system and a GIS system.
Moreover, the data content collected in the marketing business application system comprises station area information, line information, station area gateway metering information, station area line relation information, user metering point information, transformer information, line loss calculation information, metering box archive information, acquisition information, table change records and distributed power supply archives; the data content collected in the PMS system comprises line information and public change file information; the data content collected in the acquisition system comprises current information, table bottom freezing data and low-voltage user electric quantity information; the data content package collected in the GIS system comprises low-voltage line operation information, transformer access point metering box relation information and line transformation relation information.
Moreover, the data processing includes: performing overrun check on the data, and adopting a strategy of filtering according to a threshold value and deleting abnormal data; checking the feature validity, and adopting a strategy of eliminating invalid features; and (4) checking the null value of the data, wherein a strategy of deleting the features missing in a large batch or in a large proportion is adopted, and the rest features are interpolated or replaced according to the meaning of feature services.
Moreover, the station area metering point abnormity diagnosis model comprises a suspected electricity stealing related abnormity diagnosis model and is used for diagnosing suspected electricity stealing conditions of the station area; the comprehensive magnification error related abnormity diagnosis model is used for extracting data characteristics which possibly cause the comprehensive magnification error in the daily freezing data; the summary transformer transformation ratio overlarge correlation abnormity diagnosis model is used for automatic contrast processing of batch data; the clock error related abnormity diagnosis model is used for recording clock error abnormity characteristics into a clock error metering point knowledge base and realizing automatic comparison processing of batch data by utilizing the clock error metering point knowledge base; the user variable relation error diagnosis model is used for realizing automatic comparison processing of batch data by utilizing a user variable relation error metering point knowledge base; the electric energy meter error out-of-tolerance related anomaly diagnosis model is used for realizing automatic comparison processing of batch data by utilizing an electric energy meter error out-of-tolerance metering point knowledge base; the three-phase imbalance related abnormity diagnosis model is used for realizing automatic comparison processing of batch data by utilizing a three-phase imbalance metering point knowledge base; and the line error related abnormity diagnosis model is used for realizing automatic comparison processing of batch data by utilizing a wiring error metering point knowledge base.
The method for evaluating the health condition of the diagnosis result of the abnormal measuring point of the transformer area comprises the following steps:
(1) summarizing the metering problem in the daily work of the platform area;
(2) determining a station area metering abnormal index according to the summarized metering problem;
(3) determining the weight of each single index according to a pairwise comparison judgment matrix by adopting an expert judgment matrix method according to the determined station area metering abnormal index;
(4) collecting basic information data and professional associated data of the transformer area through a data warehouse, carrying out physical examination single index calculation through a transformer area metering point model, and carrying out single index scoring according to a calculated single index result;
(5) multiplying the single index score of the station area metering point by the single index weight correspondingly, accumulating and summing to obtain the health physical examination score of the station area metering point,
the station measurement point health physical examination score ═ Σ (single index score ═ single index weight).
And the metering problems comprise the problems of electricity stealing of users in a transformer area, comprehensive multiplying power errors, overlarge transformer transformation ratio, clock errors, electric energy meter error overproof, three-phase imbalance and wiring errors.
The invention has the advantages and positive effects that:
the abnormal diagnosis method for the metering points of the transformer area comprises the steps that all levels of equipment such as a transformer and a line of a low-voltage transformer area form organs and veins of the transformer area, a big data technology is utilized, professional mass data such as marketing and operation inspection are fused, dimensions such as abnormal electricity stealing diagnosis, comprehensive multiplying power error diagnosis, transformer transformation ratio oversize diagnosis, clock error diagnosis, electric energy meter error overproof diagnosis, three-phase unbalance diagnosis and wiring error diagnosis are carried out from the transformer area, the abnormal metering point diagnosis method for the transformer area is constructed, one-key intelligent health check of the metering of the transformer area is achieved, and customer demands and problems are responded quickly and accurately.
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FIG. 1 is a flow chart of the present invention.
Detailed Description
The embodiments of the invention are described in further detail below with reference to the following figures:
a method for diagnosing the abnormality of a metering point of a distribution room is innovative in that: the method comprises the following steps:
1. district metering data collection and processing
(1) Data set collection
The feature extraction data mainly come from four application systems: marketing business application system, PMS system, collection system, GIS system.
(2) Data processing
At present, in the business data accumulation process, the business data accumulation process is extremely easy to be invaded by noise, lost data and inconsistent data, the quantity is too large, and the business data accumulation process mostly comes from a plurality of heterogeneous data sources, so that the data quality is low, the low-quality data can cause the result of data analysis to be inaccurate, and therefore before model training, data quality analysis and preprocessing are needed.
The data preprocessing is mainly developed from the aspects of characteristic factor quantization, missing value processing, invalid value processing and the like. The specific rules for processing each check direction according to the corresponding processing strategy are as follows:
2. abnormal diagnosis model for measuring points of transformer area
And the abnormal diagnosis model of the metering point of the transformer area is prepared from corresponding data of the marketing service system, the PMS system, the power utilization acquisition system and the GIS system respectively. The data of the correlation system can support different analysis models to perform corresponding data analysis, a metering abnormity diagnosis model is constructed through big data analysis, the metering abnormity attribution of the transformer area is quickly found through a metering point diagnosis model, quick problem data processing support is provided for a transformer area manager, and the transformer area abnormity diagnosis model mainly comprises the following components:
1) suspected electricity stealing related abnormity diagnosis model
When electricity stealing occurs in a transformer area, line loss of the transformer area is increased, deviation of calculation results of the operation error model is large, and a suspected electricity stealing related abnormity diagnosis model needs to be constructed to diagnose suspected electricity stealing conditions of the transformer area.
And establishing a judgment rule for each electricity stealing type based on the abnormal event information, the daily freezing information and the voltage and current information and combining an error analysis result, inputting the judgment rule into a suspected electricity stealing metering point knowledge base, and realizing automatic comparison processing of batch data through the suspected electricity stealing metering point knowledge base to obtain an analysis conclusion. And (4) carrying out on-site check analysis on the result output by the knowledge base, and correcting the logic of the knowledge base according to the check result.
2) Comprehensive rate error related anomaly diagnosis model
When an electric energy meter and a mutual inductor are newly installed/replaced, a comprehensive multiplying power and CT (computed tomography) logging error situation may occur at a metering point, and when the power consumption of the metering point in a transformer area is large, the operation error model calculation result is greatly influenced. And constructing a comprehensive magnification error related abnormity diagnosis model, extracting data characteristics possibly causing comprehensive magnification errors in the daily freezing data, and realizing automatic processing of batch data.
3) Correlation abnormity diagnosis model for overlarge transformation ratio of general meter mutual inductor
The too big secondary side current that can lead to of summary table mutual-inductor transformation ratio is little, and when the load factor was crossed lowly, summary table mutual-inductor ratio difference was negative for the summary table is little to measure, and during extreme condition, user power consumption and line loss were greater than platform district summary table measurement power supply volume under the platform district, and the platform district is total for the negative line loss. According to the obtained daily freezing information of the electric meter and the daily light load point proportion analysis model of the mutual inductor, the minimum current, the average current, the maximum current and the respective frequency of the mutual inductor are calculated, a correlation abnormity diagnosis model for overlarge transformation ratio of the mutual inductor of the general meter is constructed, automatic comparison processing of batch data is realized, and an analysis conclusion is obtained.
4) Clock error related anomaly diagnostic model
The daily freezing data required by the operation error analysis model may not be the same time due to clock error abnormality, the establishment of the energy conservation equation is affected, and the calculation of the station area cannot be performed due to serious errors. And analyzing curve rules of the same time period by combining data curves of daily freezing data and voltage and current data of the power utilization acquisition system, constructing a clock error related abnormity diagnosis model, inputting clock error abnormity characteristics into a clock error metering point knowledge base, and realizing batch data automatic comparison processing by using the clock error metering point knowledge base to obtain an analysis conclusion.
5) User variable relation error diagnosis model
Based on information such as station terminal user files, daily freezing data and the like of a power consumption acquisition system and a marketing service system, performing product difference analysis on correlation between user power consumption and station line loss, constructing a user-variant relation error diagnosis model, recording a product difference analysis result into a user-variant relation error metering point knowledge base, and realizing batch data automatic comparison processing by using the user-variant relation error metering point knowledge base to obtain an analysis conclusion.
6) Electric energy meter error out-of-tolerance related anomaly diagnosis model
The conditions of measuring point error over tolerance are caused, the conditions influencing the measuring point over tolerance need to be collected and analyzed, meanwhile, correlation analysis is carried out by combining abnormal events reported by the electric energy meter, relevant abnormal types which do not belong to the electric energy meter error over tolerance are eliminated, the analysis result is recorded into an electric energy meter error over tolerance measuring point knowledge base, automatic comparison processing of batch data is realized by utilizing the electric energy meter error over tolerance measuring point knowledge base, and an analysis conclusion is obtained.
7) Three-phase imbalance related anomaly diagnosis model
The method comprises the steps of judging whether a metering point is out of tolerance based on an operation error analysis model, collecting 96-point current data of the electric energy meter at high frequency, combining with specification information of the electric energy meter, constructing a three-phase imbalance related abnormity diagnosis model, extracting three-phase imbalance current characteristics of the electric energy meter, inputting the characteristics into a three-phase imbalance metering point knowledge base, and achieving automatic comparison processing of batch data by using the three-phase imbalance metering point knowledge base to obtain an analysis conclusion.
8) Wiring error related anomaly diagnostic model
The wiring errors of the metering points mainly occur at the transformer side, and for the diagnosis of the abnormal types, the following types of the common wrong wiring errors exist:
1)1CT is connected reversely
2)2CT is connected reversely
3)3CT is connected reversely
4) Two elements with different voltage and current phases
5) Three elements all having different phases of current and voltage
6) One-phase voltage disconnection
7) Two-phase voltage disconnection
8) Three-phase voltage broken wire
And constructing a wiring error related abnormity diagnosis model through daily freezing data, voltage and current data and abnormal event data, extracting power utilization characteristics of wiring errors, inputting the characteristics into a wiring error metering point knowledge base, realizing batch data automatic comparison processing by using the wiring error metering point knowledge base, and obtaining an analysis conclusion.
3. Distribution room metering point health assessment
Collecting basic information data and professional associated data of the transformer area through a data warehouse, carrying out physical examination single index calculation through a transformer area metering point model, and carrying out single index scoring according to a calculated single index result;
and finally, multiplying the single-index score of the station measurement point by the single-index weight correspondingly, and accumulating and summing to obtain the health physical examination score of the station measurement point.
Distribution room measuring point health physical examination score ═ sigma (single index score ═ single index weight)
The weight of each large index is evaluated by a plurality of parties such as clients and experts. Before weight setting, a pairwise comparison judgment matrix needs to be constructed. Such as: after pairwise comparison is carried out between the indexes, the relative quality sequence of the evaluation indexes is arranged according to the 9-division ratio, and a judgment matrix of the evaluation indexes is constructed in sequence. The following table is an indication table of selecting part of constructed expert judgment matrixes from characteristic indexes extracted from the aspects of station line loss, station power supply working conditions and station open capacity. All characteristic indexes need to be included in an expert judgment matrix for calculation in actual modeling.
And calculating the weight of each alternative element according to a certain standard. And finally, adding expert experience into the weight for readjustment, thereby helping the weight to be more in line with the actual situation.
After the weights of all indexes are obtained, the scores of the single indexes, the health detection values of the metering points of the transformer area and the causes of problems can be continuously calculated.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A method for diagnosing the abnormality of a metering point of a distribution room is characterized by comprising the following steps: the method comprises the following steps:
acquiring data in an application system;
establishing an abnormal diagnosis model of the station area metering points according to the data, and determining the attribution of the station area metering abnormality according to the abnormal diagnosis model;
and establishing an evaluation model, and evaluating the health condition of the diagnosis result attributed to the station area metering abnormality.
2. The method for diagnosing abnormality of a station area measurement point according to claim 1, characterized in that: the application system comprises a marketing service application system, a PMS system, a collection system and a GIS system.
3. The method for diagnosing abnormality of a station area measurement point according to claim 2, characterized in that: the data content collected in the marketing business application system comprises station area information, line information, station area gateway metering information, station area line relation information, user metering point information, transformer information, line loss calculation information, metering box file information, acquisition information, table change records and distributed power supply files; the data content collected in the PMS system comprises line information and public change file information; the data content collected in the acquisition system comprises current information, table bottom freezing data and low-voltage user electric quantity information; the data content collected in the GIS system comprises low-voltage line operation information, transformer access point metering box relation information and line transformation relation information.
4. The method for diagnosing abnormality of a station area measurement point according to claim 1, characterized in that: the method also comprises the steps of processing the data, and processing the data after the data in the application system are acquired, wherein the data processing comprises the following steps: performing overrun check on the data, and adopting a strategy of filtering according to a threshold value and deleting abnormal data; checking the feature validity, and adopting a strategy of eliminating invalid features; and (4) checking the null value of the data, wherein a strategy of deleting the features missing in a large batch or in a large proportion is adopted, and the rest features are interpolated or replaced according to the meaning of feature services.
5. The method for diagnosing abnormality of a station area measurement point according to claim 1, characterized in that: the transformer area metering point abnormity diagnosis model comprises a suspected electricity stealing related abnormity diagnosis model and is used for diagnosing suspected electricity stealing conditions of the transformer area; the comprehensive magnification error related abnormity diagnosis model is used for extracting data characteristics which possibly cause the comprehensive magnification error in the daily freezing data; the summary transformer transformation ratio overlarge correlation abnormity diagnosis model is used for automatic contrast processing of batch data; the clock error related abnormity diagnosis model is used for recording clock error abnormity characteristics into a clock error metering point knowledge base and realizing automatic comparison processing of batch data by utilizing the clock error metering point knowledge base; the user variable relation error diagnosis model is used for realizing automatic comparison processing of batch data by utilizing a user variable relation error metering point knowledge base; the electric energy meter error out-of-tolerance related anomaly diagnosis model is used for realizing automatic comparison processing of batch data by utilizing an electric energy meter error out-of-tolerance metering point knowledge base; the three-phase imbalance related abnormity diagnosis model is used for realizing automatic comparison processing of batch data by utilizing a three-phase imbalance metering point knowledge base; and the line error related abnormity diagnosis model is used for realizing batch data comparison processing by utilizing a wiring error metering point knowledge base.
6. The method for diagnosing abnormality of a station area measurement point according to claim 1, characterized in that: the method for evaluating the health condition of the diagnosis result of the abnormal metering point of the transformer area comprises the following steps:
(1) summarizing the metering problem in the daily work of the platform area;
(2) determining a station area metering abnormal index according to the summarized metering problem;
(3) determining the weight of each single index according to a pairwise comparison judgment matrix by adopting an expert judgment matrix method according to the determined station area metering abnormal index;
(4) collecting basic information data and professional associated data of the transformer area through a data warehouse, carrying out physical examination single index calculation through a transformer area metering point model, and carrying out single index scoring according to a calculated single index result;
(5) multiplying the single index score of the station area metering point by the single index weight correspondingly, accumulating and summing to obtain the health physical examination score of the station area metering point,
the station measurement point health physical examination score ═ Σ (single index score ═ single index weight).
7. The method for diagnosing abnormality of a station area measurement point according to claim 1, characterized in that: the metering problems comprise the problems of electricity stealing of users in a transformer area, comprehensive multiplying power errors, overlarge transformer transformation ratio, clock errors, electric energy meter error overproof errors, three-phase unbalance and wiring errors.
8. A platform district measurement point anomaly diagnostic system characterized by: the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring data in an application system;
the measurement abnormity attribution determining module is used for establishing a platform area measurement point abnormity diagnosis model according to the data and determining platform area measurement abnormity attribution according to the abnormity diagnosis model;
and the health evaluation module is used for evaluating the health condition of the diagnosis result attributed to the abnormal metering in the transformer area.
9. The system of claim 8, wherein the system further comprises: the application system comprises a marketing service application system, a PMS system, a collection system and a GIS system.
10. The system for diagnosing abnormality of a station measurement point according to claim 9, characterized in that: the data content collected in the marketing business application system comprises station area information, line information, station area gateway metering information, station area line relation information, user metering point information, transformer information, line loss calculation information, metering box file information, acquisition information, table change records and distributed power supply files; the data content collected in the PMS system comprises line information and public change file information; the data content collected in the acquisition system comprises current information, table bottom freezing data and low-voltage user electric quantity information; the data content collected in the GIS system comprises low-voltage line operation information, transformer access point metering box relation information and line transformation relation information.
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| CN111817299A (en) * | 2020-07-21 | 2020-10-23 | 南京工程学院 | Fuzzy reasoning-based intelligent identification method for line loss rate abnormal cause of power distribution station |
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| CN113655425A (en) * | 2021-07-16 | 2021-11-16 | 国网浙江省电力有限公司营销服务中心 | Metering point operation error monitoring method and system suitable for 10KV wiring line |
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| CN115049232A (en) * | 2022-05-31 | 2022-09-13 | 云南电网有限责任公司 | Method and system for judging station area abnormity |
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| CN114462833A (en) * | 2022-01-21 | 2022-05-10 | 深圳市和讯华谷信息技术有限公司 | Project research and development capability diagnosis method and system |
| CN114638554A (en) * | 2022-05-18 | 2022-06-17 | 国网浙江省电力有限公司 | Marketing business health index evaluation joint control method and system |
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