CN104459249A - Abnormal electricity judgment method based on current abnormality analysis - Google Patents
Abnormal electricity judgment method based on current abnormality analysis Download PDFInfo
- Publication number
- CN104459249A CN104459249A CN201410706086.XA CN201410706086A CN104459249A CN 104459249 A CN104459249 A CN 104459249A CN 201410706086 A CN201410706086 A CN 201410706086A CN 104459249 A CN104459249 A CN 104459249A
- Authority
- CN
- China
- Prior art keywords
- current
- phase
- abnormal
- defluidization
- user
- 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
Landscapes
- Emergency Protection Circuit Devices (AREA)
Abstract
The invention discloses an abnormal electricity judgment method based on current abnormality analysis. The method comprises current loss abnormality analysis and current unbalance abnormality analysis. Phase currents of three or more monitoring points need to be monitored within one day for current loss abnormality analysis, and monitoring is continuously carried out for three days. If current loss abnormality analysis results of the three or more monitoring points in the three consecutive days all determine current loss abnormality, abnormal electricity of a user is finally determined. Phase currents of at least ten monitoring points need to be monitored within one day for current unbalance analysis, and monitoring is continuously carried out for at least three days. If current unbalance analysis results of the monitoring points in the three consecutive days all determine current unbalance, abnormal electricity of the user is finally determined. The abnormal electricity judgment method based on current abnormality analysis has the advantages that electricity information of the power user can be mastered in time, electricity stealing behaviors can be prevented and monitored, and electricity supply reliability can be improved.
Description
Technical field
The present invention relates to a kind of abnormal electricity consumption determination methods analyzed based on current anomaly.
Background technology
Along with the fast development of urban construction, the demand of industry-by-industry to electricity constantly expands.But along with the continuous increase with power consumption that develops rapidly of economy, stealing problem becomes more and more outstanding, reversal connection, cross-over connection, forgery lead sealing, use fall to show device etc., and stealing technology is day by day intelligent, and electricity filching behavior is more hidden, makes power supply enterprise's electricity heavy losses.Stealing problem not only have impact on electric power enterprise and supplies electricity consumption order normally, has also had a strong impact on economic development construction and social stability.Therefore, only have and improve Prevention Stealing Electricity Technology level better, thoroughly blocking stealing leak, create good in electricity consumption order, could better for the fast development of society escorts.
At present, electric power system has carried out measure of opposing electricity-stealing in a large number and relevant preventive measure, but existing traditional measure cannot catch up with the stealing mode day by day changed, and is difficult to Timeliness coverage electricity filching behavior simultaneously.Existing electricity anti-stealing system mainly contains following defect.
(1) although the on-the-spot form of expression of electricity filching behavior is varied, the measure of opposing electricity-stealing of the existing enforcement for various concrete stealing mode cannot adapt to novel electricity filching behavior.
(2) due to when carrying out opposing electricity-stealing inspection, do not effectively integrate the power information of Electricity customers, making to oppose electricity-stealing checks that specific aim is poor.
(3) can not Timeliness coverage user electricity filching behavior, often just finding part electricity filching behavior when carrying out generally investigating or circuit line loss is abnormal, checking for resisting, the situation of destroy evidence, electricity filching behavior is difficult to find.
Summary of the invention
The present invention is for avoiding the weak point that exists in above-mentioned prior art, provides a kind of abnormal electricity consumption determination methods analyzed based on current anomaly, to grasp the power information of power consumer, prevention monitor electricity filching behavior in time.
The present invention be technical solution problem by the following technical solutions.
Based on the abnormal electricity consumption determination methods that current anomaly is analyzed, be characterized in, current anomaly analysis comprises two kinds of analytical approachs: electric current defluidization anomaly analysis and current imbalance anomaly analysis;
The process of described electric current defluidization anomaly analysis is:
First, determine that the voltage range of ammeter is 0.7 to 0.9 rated voltage (ABC three-phase voltage is all to meet this voltage range), then judge that the ammeter mode of connection of user is three-phase three-wire system or three-phase four-wire system;
If the ammeter mode of connection of user is three-phase three-wire system, then detect the ABC three-phase current of electric supply meter, if arbitrary phase current is less than 0.5% rated current and B phase current is not less than 5% rated current in AC phase, then determine that ammeter electric current defluidization is abnormal;
If the ammeter mode of connection of user is three-phase four-wire system, then detect the ABC three-phase current of electric supply meter, if arbitrary phase current is less than 0.5% rated current and in another two-phase, at least one phase current is not less than 10% rated current in ABC three-phase current, then determine that ammeter electric current defluidization is abnormal;
Need the phase current of the monitoring point monitoring more than 3 or 3 to carry out electric current defluidization anomaly analysis in 1 day, and monitor for three days on end; If the electric current defluidization anomaly analysis result that the monitoring point for three days on end more than 3 or 3 is carried out all determines that electric current defluidization is abnormal, then finally determine that user is abnormal electricity consumption;
The process of current imbalance analysis is: first, and eliminating is the situation of electric current defluidization and detects the ABC three-phase current of electric supply meter; Each phase current in ABC three-phase is all greater than 0, calculating current unbalance factor; The computing formula of described current imbalance rate is:
Current imbalance rate=[max (Ia, Ib, Ic)-min (Ia, Ib, Ic)]/max (Ia, Ib, Ic), wherein, max (Ia, Ib, Ic) be current maxima in ABC three-phase current, min (Ia, Ib, Ic) is current minimum in ABC three-phase current;
If current imbalance rate is greater than preset value, then think current imbalance;
Need to monitor at least 10 monitoring points in 1 day and (within one day, 96 points can be monitored at most, monitoring point scope is 10-96) phase current carry out current imbalance analysis, and at least 3 days continuously (this number of days can be more than or equal to 3 days, such as can be decided to be 5 days according to actual conditions, 7 days or 10 days etc.) monitor; If the current imbalance analysis result carried out in monitoring point for three days on end all determines current imbalance, then finally determine that user is abnormal electricity consumption.
Compared with the prior art, beneficial effect of the present invention is embodied in:
The abnormal electricity consumption determination methods analyzed based on current anomaly of the present invention, comprises electric current defluidization anomaly analysis and current imbalance anomaly analysis; Need the phase current of the monitoring point monitoring more than 3 or 3 to carry out electric current defluidization anomaly analysis in 1 day, and monitor for three days on end; If the electric current defluidization anomaly analysis result that the monitoring point for three days on end more than 3 or 3 is carried out all determines that electric current defluidization is abnormal, then finally determine that user is abnormal electricity consumption.Need the phase current monitoring at least 10 monitoring points to carry out current imbalance analysis in 1 day, and within least 3 days, monitor continuously; If the current imbalance analysis result carried out in monitoring point for three days on end all determines current imbalance, then finally determine that user is abnormal electricity consumption.
During concrete judgement, electric current defluidization anomaly analysis and current imbalance anomaly analysis two kinds of modes can judge separately, and also can be combined with each other makes a decision.
The abnormal electricity consumption determination methods analyzed based on current anomaly of the present invention, have can grasp power consumer in time power information, prevention monitor electricity filching behavior, improve the advantage such as power supply reliability.
Accompanying drawing explanation
Fig. 1 be the abnormal electricity consumption determination methods analyzed based on current anomaly of the present invention the structured flowchart of judgement system.
Below by way of embodiment, and the invention will be further described by reference to the accompanying drawings.
Embodiment
See Fig. 1, the abnormal electricity consumption determination methods analyzed based on current anomaly of the present invention, described current anomaly analysis comprises two kinds of analytical approachs: electric current defluidization anomaly analysis and current imbalance anomaly analysis;
The process of described electric current defluidization anomaly analysis is:
First, determine that the voltage range of ammeter is 0.7 to 0.9 rated voltage (ABC three-phase voltage is all to meet this voltage range), then judge that the ammeter mode of connection of user is three-phase three-wire system or three-phase four-wire system;
If the ammeter mode of connection of user is three-phase three-wire system, then detect the ABC three-phase current of electric supply meter, if arbitrary phase current is less than 0.5% rated current and B phase current is not less than 5% rated current in AC phase, then determine that ammeter electric current defluidization is abnormal;
If the ammeter mode of connection of user is three-phase four-wire system, then detect the ABC three-phase current of electric supply meter, if arbitrary phase current is less than 0.5% rated current and in another two-phase, at least one phase current is not less than 10% rated current in ABC three-phase current, then determine that ammeter electric current defluidization is abnormal;
Need the phase current of the monitoring point monitoring more than 3 or 3 to carry out electric current defluidization anomaly analysis in 1 day, and monitor for three days on end; If the electric current defluidization anomaly analysis result that the monitoring point for three days on end more than 3 or 3 is carried out all determines that electric current defluidization is abnormal, then finally determine that user is abnormal electricity consumption;
The process of current imbalance analysis is: first, and eliminating is the situation of electric current defluidization and detects the ABC three-phase current of electric supply meter; Each phase current in ABC three-phase is all greater than 0, calculating current unbalance factor; The computing formula of described current imbalance rate is:
Current imbalance rate=[max (Ia, Ib, Ic)-min (Ia, Ib, Ic)]/max (Ia, Ib, Ic), wherein, max (Ia, Ib, Ic) be current maxima in ABC three-phase current, min (Ia, Ib, Ic) is current minimum in ABC three-phase current;
If current imbalance rate is greater than preset value, then think current imbalance;
Need to monitor at least 10 monitoring points in 1 day and (within one day, 96 points can be monitored at most, monitoring point scope is 10-96) phase current carry out current imbalance analysis, and at least 3 days continuously (this number of days can be more than or equal to 3 days, such as can be decided to be 5 days according to actual conditions, 7 days or 10 days etc.) monitor; If the current imbalance analysis result carried out in monitoring point for three days on end all determines current imbalance, then finally determine that user is abnormal electricity consumption.
In abnormal electricity consumption determination methods based on current anomaly analysis of the present invention, comprise two kinds of analytical approachs: electric current defluidization anomaly analysis and current imbalance anomaly analysis.
Current anomaly has two kinds of performances, electric current defluidization, current imbalance.
(1) electric current defluidization:
Need meet voltage range is 0.7 to 0.9 rated voltage.Phase three-wire three defluidization: in AC phase, arbitrary phase current is less than 0.5% specified (substantially) electric current, another phase current is not less than 5% specified (substantially) electric current.Three-phase and four-line defluidization: arbitrary phase current is less than 0.5% specified (substantially) electric current, in another two-phase, at least one phase current is not less than 10% specified (substantially) electric current.
Such as: connection box of electric energy meter mode phase three-wire three, rated voltage 320, rated current 4.4A, then 4.4*0.5%=0.022,4.4*0.5%=0.22.
Monitor A phase current 0.956, B phase current 0.001, C phase current 0.002.BC biphase current is all less than 0.022, and A phase current is greater than 0.956 and is greater than 0.22, and monitors analogue in one day and exceeded 3 times, then think on the same day, this electric energy meter had occurred that electric current defluidization was abnormal.
There is defluidization event as monitored electric energy meter, and in one day, monitor at least one point, just generate electric current defluidization abnormal, otherwise at least need monitor multiple point (3 somes acquiescence every day) and just generate exception.
(2) current imbalance
When each phase current is all greater than 0, according to formula calculating current unbalance factor below.
Current imbalance rate=[max (Ia, Ib, Ic)-min (Ia, Ib, Ic)]/max (Ia, Ib, Ic), wherein, max (Ia, Ib, Ic) be current maxima in ABC three-phase current, min (Ia, Ib, Ic) is current minimum in ABC three-phase current.
Such as: current imbalance rate preset standard value is 20%.
Certain family block table 0 A phase current 0.023 gathered, B phase current 0.001, C phase current 0.021, Voltage unbalance rate calculates: (0.023-0.001)/0.023=95.65%, if detect that in one day 6 primary current unbalance factors are more than 20% simultaneously, then think that this electric energy meter has occurred that current imbalance is abnormal.
By current imbalance, judge whether out-of-limit.First need get rid of electric current defluidization abnormal conditions.Within one day, domestic demand monitors multiple point, and continuously monitoring is many daily meets data and judge to require just to generate and extremely (give tacit consent to 10 somes every day, for three days on end).
During concrete judgement, electric current defluidization anomaly analysis and current imbalance anomaly analysis two kinds of modes can judge separately, and also can be combined with each other makes a decision.
Be the structured flowchart of the electricity anti-stealing system of the abnormal electricity consumption determination methods based on current anomaly analysis of the present invention as Fig. 1, comprise data module, stealing diagnostic analysis module, stealing judge module and abnormal alarm module.Described data module, stealing diagnostic analysis module, stealing judge module are connected successively with abnormal alarm module.First the current information of user is gathered by data module, then stealing diagnostic analysis module adopts method of the present invention to carry out data analysis, judge which user is as abnormal electricity consumption user, and the result of analysis is transferred to stealing judge module, judge which abnormal electricity consumption user is stealing user by stealing judge module further according to the result of data analysis, finally provide warning message by abnormal alarm module, which is stealing user to notify staff, is carried out verifying and processing to stealing scene by staff.
During specific works, staff can carry out anomaly analysis and obtain abnormal user pond from on-line monitoring, user's electricity, line loss, history electricity filching behavior 4 aspects, need with that to set up a stealing judgment rule, regularly carry out user's stealing possibility to judge, quantize the stealing possibility of user, decision rule is as follows:
1, abnormal rank judges
For various exception, carry out rank setting, rank is divided into three kinds: I level, II level, IV level abnormal.Simultaneously also can to the abnormal setting carrying out " whether participating in stealing suspicion to judge ".
I level is abnormal: occur in the judgement cycle that abnormal number of days is more than A days;
II level is abnormal: occur in the judgement cycle that abnormal number of days is more than B days;
IV level is abnormal: occur in the judgement cycle that abnormal number of days is more than C days.Wherein, A>B>C, A, B, C are preset value, are positive integer.
2, stealing suspicion judges
According to abnormal kind, abnormal rank, stealing suspicion decision rule is set flexibly.According to actual conditions, select the foundation that suspicion judges.Such as think occur simultaneously certain or several abnormal and abnormal rank reaches certain grade time, its suspicion rank is great suspicion or suspicion by we.
According to the suspicion decision rule arranged, be positioned with the user scope of great suspicion, work of electricity anti-stealing personnel receive accurately after user profile Portable power somascope rush towards scene and carry out reconnoitring and process, power utility check instrument applies up-to-date microprocessor technology and Digital Signal Processing, power frequency electric parameter measurement is realized (as voltage with direct ac sampling method, current effective value, meritorious, reactive power, applied power, work frequency, power factor, phase relation etc.) can direct display vector figure, be particularly useful for each wiring situation checking Electric Energy Telemetering System and relay protection system for electric unit.Determine this user whether necessary being electricity filching behavior according to site inspection situation, and check processing result is safeguarded in the present system, realize that work of electricity anti-stealing judges from anomaly analysis, suspicion, the closed loop management of suspicion process.
(1) data module: system data derives from power information acquisition system, negative Ore-controlling Role, SG186 marketing system, line loss management system of local electric network.We are classified to data with multi-dimensional data analytical technology by ETL technology, data center's technology, data mining technology, associate, a series for the treatment of and analysis such as exception, cluster, form scientific and reasonable behavioural characteristic data model of opposing electricity-stealing gradually.
(2) stealing diagnostic analysis module: based on business actual conditions, establishes stealing diagnostic model;
Abnormal electricity consumption on-line monitoring: the real time data according to acquisition system carries out on-line monitoring to user power utilization situation, pays close attention to the exception relevant with stealing, Timeliness coverage stealing suspicion user in all kinds of abnormal electricity consumption situation.
Abnormal electricity: pay close attention to the power consumption situation in user's period, carry out abnormal coulometric analysis, Timeliness coverage stealing suspicion user.
Line loss is abnormal: carrying out anomaly analysis to line loss, the loss of platform district, the circuit of Timeliness coverage stealing suspicion or platform district, providing strong foundation for tracking stealing user.
History electricity filching behavior: typing user history electricity filching behavior, these users, as emphasis monitor user ', prevent this kind of user from repeating crime.
(3) stealing determination module: according to stealing diagnostic model, sets up stealing and judges evaluation rule, and comprehensive analysis user stealing possibility, finally determines stealing suspicion user scope.
(4) abnormal alarm module: system is responsible for providing abnormal alarm to electric company work of electricity anti-stealing personnel, staff needs after obtaining alert notice to carry out reconnoitring to scene and processes, and is responsible for timely for result input system.
The abnormal electricity consumption determination methods analyzed based on current anomaly of the present invention, provides strong help by what find, grasp stealing information for the personnel that oppose electricity-stealing.By digitizing, informationalized technological means, line loss data, service data and management data are integrated, the power information of power consumer, prevention and monitoring electricity filching behavior can be grasped in time, reduce line loss, improve power supply reliability, investigate user's electricity filching behavior for the supervisory personnel of electricity consumption and power supply department management provides decision-making foundation.
The abnormal electricity consumption determination methods analyzed based on current anomaly of the present invention, have can grasp power consumer in time power information, prevention monitor electricity filching behavior, improve the advantage such as power supply reliability.
To those skilled in the art, obviously the invention is not restricted to the details of above-mentioned one exemplary embodiment, and when not deviating from spirit of the present invention or essential characteristic, the present invention can be realized in other specific forms.Therefore, no matter from which point, all should embodiment be regarded as exemplary, and be nonrestrictive, scope of the present invention is limited by claims instead of above-mentioned explanation, and all changes be therefore intended in the implication of the equivalency by dropping on claim and scope are included in the present invention.Any Reference numeral in claim should be considered as the claim involved by limiting.
In addition, be to be understood that, although this instructions is described according to embodiment, but not each embodiment only comprises an independently technical scheme, this narrating mode of instructions is only for clarity sake, those skilled in the art should by instructions integrally, and the technical scheme in each embodiment also through appropriately combined, can form other embodiments that it will be appreciated by those skilled in the art that.
Claims (1)
1., based on the abnormal electricity consumption determination methods that current anomaly is analyzed, it is characterized in that, current anomaly analysis comprises two kinds of analytical approachs: electric current defluidization anomaly analysis and current imbalance anomaly analysis;
The process of described electric current defluidization anomaly analysis is:
First, determine that the voltage range of ammeter is 0.7 to 0.9 rated voltage, then judge that the ammeter mode of connection of user is three-phase three-wire system or three-phase four-wire system;
If the ammeter mode of connection of user is three-phase three-wire system, then detect the ABC three-phase current of electric supply meter, if arbitrary phase current is less than 0.5% rated current and B phase current is not less than 5% rated current in AC phase, then determine that ammeter electric current defluidization is abnormal;
If the ammeter mode of connection of user is three-phase four-wire system, then detect the ABC three-phase current of electric supply meter, if arbitrary phase current is less than 0.5% rated current and in another two-phase, at least one phase current is not less than 10% rated current in ABC three-phase current, then determine that ammeter electric current defluidization is abnormal;
Need the phase current of the monitoring point monitoring more than 3 or 3 to carry out electric current defluidization anomaly analysis in 1 day, and monitor for three days on end; If the electric current defluidization anomaly analysis result that the monitoring point for three days on end more than 3 or 3 is carried out all determines that electric current defluidization is abnormal, then finally determine that user is abnormal electricity consumption;
The process of current imbalance analysis is: first, and eliminating is the situation of electric current defluidization and detects the ABC three-phase current of electric supply meter; Each phase current in ABC three-phase is all greater than 0, calculating current unbalance factor; The computing formula of described current imbalance rate is:
Current imbalance rate=[max (Ia, Ib, Ic)-min (Ia, Ib, Ic)]/max (Ia, Ib, Ic), wherein, max (Ia, Ib, Ic) be current maxima in ABC three-phase current, min (Ia, Ib, Ic) is current minimum in ABC three-phase current;
If current imbalance rate is greater than preset value, then think current imbalance;
Need the phase current monitoring at least 10 monitoring points to carry out current imbalance analysis in 1 day, and within least 3 days, monitor continuously; If the current imbalance analysis result carried out in monitoring point for three days on end all determines current imbalance, then finally determine that user is abnormal electricity consumption.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410706086.XA CN104459249A (en) | 2014-11-27 | 2014-11-27 | Abnormal electricity judgment method based on current abnormality analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410706086.XA CN104459249A (en) | 2014-11-27 | 2014-11-27 | Abnormal electricity judgment method based on current abnormality analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104459249A true CN104459249A (en) | 2015-03-25 |
Family
ID=52905632
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410706086.XA Pending CN104459249A (en) | 2014-11-27 | 2014-11-27 | Abnormal electricity judgment method based on current abnormality analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104459249A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111443226A (en) * | 2020-06-15 | 2020-07-24 | 国网江西综合能源服务有限公司 | Electricity stealing analysis method utilizing low current record of three-phase intelligent meter |
| CN114460528A (en) * | 2022-01-21 | 2022-05-10 | 清大智能（北京）科技有限公司 | Method for improving sampling precision of anti-electricity-stealing monitoring terminal |
| CN115291024A (en) * | 2022-09-28 | 2022-11-04 | 广东电网有限责任公司中山供电局 | Client abnormity identification method, system, equipment and medium |
| CN116027254A (en) * | 2023-03-22 | 2023-04-28 | 国网江苏省电力有限公司常州供电分公司 | Method for analyzing unbalanced current stealing of three-phase electric energy meter |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2690890Y (en) * | 2004-03-18 | 2005-04-06 | 刘建国 | Multifunction anti-fraudulent use of electricity three phase power monitor |
| CN102636688A (en) * | 2012-04-27 | 2012-08-15 | 武汉电力职业技术学院 | Detector for unbalance ratio of three-phase current of low-voltage line |
| CN102768301A (en) * | 2012-08-13 | 2012-11-07 | 广东电网公司中山供电局 | Method and device for on-line determining withdrawal and compensation electric quantity in three-phase four-wire two-phase current loss |
| CN202929077U (en) * | 2012-07-25 | 2013-05-08 | 国网电力科学研究院 | Electricity stealing resistant device and its system |
| CN103217560A (en) * | 2013-03-23 | 2013-07-24 | 国家电网公司 | Anti-stealing-electricity analysis meter |
| CN104076321A (en) * | 2014-07-08 | 2014-10-01 | 贵州电力试验研究院 | On-line monitoring and evaluating system and method for digital electric energy meter |
| CN104155496A (en) * | 2014-04-23 | 2014-11-19 | 国家电网公司 | Electricity larceny prevention system and method |
-
2014
- 2014-11-27 CN CN201410706086.XA patent/CN104459249A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2690890Y (en) * | 2004-03-18 | 2005-04-06 | 刘建国 | Multifunction anti-fraudulent use of electricity three phase power monitor |
| CN102636688A (en) * | 2012-04-27 | 2012-08-15 | 武汉电力职业技术学院 | Detector for unbalance ratio of three-phase current of low-voltage line |
| CN202929077U (en) * | 2012-07-25 | 2013-05-08 | 国网电力科学研究院 | Electricity stealing resistant device and its system |
| CN102768301A (en) * | 2012-08-13 | 2012-11-07 | 广东电网公司中山供电局 | Method and device for on-line determining withdrawal and compensation electric quantity in three-phase four-wire two-phase current loss |
| CN103217560A (en) * | 2013-03-23 | 2013-07-24 | 国家电网公司 | Anti-stealing-electricity analysis meter |
| CN104155496A (en) * | 2014-04-23 | 2014-11-19 | 国家电网公司 | Electricity larceny prevention system and method |
| CN104076321A (en) * | 2014-07-08 | 2014-10-01 | 贵州电力试验研究院 | On-line monitoring and evaluating system and method for digital electric energy meter |
Non-Patent Citations (1)
| Title |
|---|
| 张文霞: "三相四线制电能表失流判断方法改进及应用", 《内蒙古电力技术》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111443226A (en) * | 2020-06-15 | 2020-07-24 | 国网江西综合能源服务有限公司 | Electricity stealing analysis method utilizing low current record of three-phase intelligent meter |
| CN111443226B (en) * | 2020-06-15 | 2020-12-08 | 国网江西综合能源服务有限公司 | Electricity stealing analysis method utilizing low current record of three-phase intelligent meter |
| CN114460528A (en) * | 2022-01-21 | 2022-05-10 | 清大智能（北京）科技有限公司 | Method for improving sampling precision of anti-electricity-stealing monitoring terminal |
| CN115291024A (en) * | 2022-09-28 | 2022-11-04 | 广东电网有限责任公司中山供电局 | Client abnormity identification method, system, equipment and medium |
| CN116027254A (en) * | 2023-03-22 | 2023-04-28 | 国网江苏省电力有限公司常州供电分公司 | Method for analyzing unbalanced current stealing of three-phase electric energy meter |
| CN116027254B (en) * | 2023-03-22 | 2023-06-13 | 国网江苏省电力有限公司常州供电分公司 | Method for analyzing unbalanced current stealing of three-phase electric energy meter |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104407268A (en) | Abnormal electricity utilization judgment method based on abnormal analysis of electric quantity, voltage and current | |
| CN104391202A (en) | Abnormal electricity consumption judging method based on analysis of abnormal electric quantity | |
| Yen et al. | Effect of smart meter data collection frequency in an early detection of shorter-duration voltage anomalies in smart grids | |
| CN103229065B (en) | For monitoring system, the method and apparatus of Capacitor banks | |
| CN102170124B (en) | Early warning method of stable-state index of power quality | |
| CN101789628B (en) | Enterprise electrical energy-saving management system | |
| CN104391201A (en) | Abnormal electricity consumption judging method based on abnormal voltage analysis | |
| CN103440726B (en) | Electric fire disaster warning information processing method and system | |
| CN110806518B (en) | Transformer area line loss abnormal motion analysis module and operation method thereof | |
| CN102737287B (en) | Regional power grid on-line power supply risk assessment system | |
| CN104810923A (en) | Intelligent power distribution and use integrated terminal based on IEC61850 stipulation | |
| CN103439613A (en) | Electric power security integrated monitoring device and analyzing method thereof | |
| CN103197177A (en) | Transformer fault diagnosis analysis method based on bayesian network | |
| CN104820953A (en) | Power distribution network operation safety assessment and warning system | |
| CN104459249A (en) | Abnormal electricity judgment method based on current abnormality analysis | |
| Rasmussen et al. | A review of cyber-physical energy system security assessment | |
| KR100681538B1 (en) | System for monitoring real-time power consumption | |
| CN117977582B (en) | Real-time monitoring method for transformer substation load based on digital twin technology | |
| CN112418638A (en) | Early warning system and early warning method for operation and maintenance risks of DC power supply system for station | |
| CN106443503A (en) | Power supply quality detection method and system and air conditioner capable of detecting power supply quality | |
| CN112379161B (en) | Alarm method for judging electricity stealing behavior | |
| Eladl et al. | Optimal allocation of phasor measurement units in distribution power systems | |
| CN113376456A (en) | Cloud platform-based method for analyzing and managing electric quantity and electric charge of large electric power user | |
| CN107390592A (en) | A kind of business electrical monitoring information and mobile phone interaction communication system | |
| Ballal et al. | Online electricity theft detection and prevention scheme for smart cities |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150325 |