CN104407268A - Abnormal electricity utilization judgment method based on abnormal analysis of electric quantity, voltage and current - Google Patents

Abnormal electricity utilization judgment method based on abnormal analysis of electric quantity, voltage and current Download PDF

Info

Publication number
CN104407268A
CN104407268A CN201410706073.2A CN201410706073A CN104407268A CN 104407268 A CN104407268 A CN 104407268A CN 201410706073 A CN201410706073 A CN 201410706073A CN 104407268 A CN104407268 A CN 104407268A
Authority
CN
China
Prior art keywords
voltage
phase
current
abnormal
user
Prior art date
Application number
CN201410706073.2A
Other languages
Chinese (zh)
Inventor
任玮蒙
许庆
谢智奕
许树实
胡斌
顾群
许伟
Original Assignee
国家电网公司
国网安徽省电力公司合肥供电公司
国网安徽省电力公司电力科学研究院
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 国家电网公司, 国网安徽省电力公司合肥供电公司, 国网安徽省电力公司电力科学研究院 filed Critical 国家电网公司
Priority to CN201410706073.2A priority Critical patent/CN104407268A/en
Publication of CN104407268A publication Critical patent/CN104407268A/en

Links

Abstract

The invention discloses an abnormal electricity utilization judgment method based on abnormal analysis of electric quantity, voltage and current. The abnormal analysis of the electric quantity comprises a fluctuation electric quantity analysis process and a zero electric quantity analysis process, wherein the abnormal analysis of voltage comprises voltage phase-failure abnormal analysis, voltage off-normal abnormal analysis and voltage unbalanced abnormal analysis; the abnormal analysis of current comprises a current loss abnormal analysis and current unbalanced abnormal analysis. By analyzing and comparing abnormal data of electric quantity, voltage and current of the users, real abnormal users or electricity stealing users can be determined. The abnormal electricity utilization judgment method based on the abnormal analysis of the electric quantity, the voltage and the current, disclosed by the invention, has the advantages that electricity information of power users can be timely grasped, the electricity stealing behavior is prevented and monitored, and the reliability of power supply is improved.

Description

Based on the abnormal electricity consumption determination methods of electricity, voltage and current anomaly analysis
Technical field
The present invention relates to a kind of abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis.
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, providing a kind of abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis, 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 of electricity, voltage and current anomaly analysis, be characterized in, described electricity anomaly analysis comprises fluctuant electricity quantity analytic process and zero coulometric analysis process;
Described fluctuant electricity quantity analytic process comprises: be analyzed the power consumption of the normal power consumer history run, search user's electricity fluctuation ratio according to fluctuation direction and exceed user's inventory of predetermined fluctuation ratio value, and then analyze that to provide may be user's inventory of abnormal electricity, by staff abnormal user analyzed and check; For abnormal user, specify the particular historical power consumption of the power consumption of certain year certain month and this user to contrast, calculate fluctuation ratio, think that when fluctuation ratio exceedes predetermined fluctuation ratio value this user belongs to abnormal electricity consumption;
Described zero coulometric analysis process comprises: analyze the abnormal conditions that the normal power consumer daily power consumption run is 0, search user's inventory that continuous many daily power consumptions are zero, be aided with multiple statistical condition and screening conditions, and then analyze that to provide may be user's inventory of abnormal electricity, by staff abnormal user analyzed and check; Described many daily power consumptions be zero user be: from the fixed time, push away forward and occur that continuously many days electricity are the user of zero; If push away forward occur continuously many days electricity be zero date exceed predetermined number of days, then think that this user belongs to abnormal electricity consumption;
Described electric voltage exception analysis comprises voltage and to break phase anomaly analysis, voltage out-of-limit anomaly analysis and Voltage unbalance anomaly analysis;
(1) the break process of phase anomaly analysis of described voltage is: first determine that user object is specially become user, 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 voltage of electric supply meter, the arbitrary phase voltage in AC phase is less than the reference voltage that K* presets, and B phase voltage is not less than the reference voltage that K* presets, then determine that voltage is disconnected abnormal mutually;
If the ammeter mode of connection of user is three-phase four-wire system, then detect the ABC three-phase voltage of electric supply meter, arbitrary phase voltage in ABC three-phase is less than K* reference voltage, and in another two phase voltages simultaneously in ABC three-phase, arbitrary phase voltage is not less than K* reference voltage, then determine that voltage is disconnected abnormal mutually;
Wherein, described K value scope is at 50-70%, and 60% is best value;
Need the phase voltage of the monitoring point monitoring more than 3 or 3 to carry out voltage in 1 day to break phase anomaly analysis, and monitor for three days on end; If the disconnected mutually abnormal analysis result of the voltage carried out in monitoring point for three days on end all determines that voltage is disconnected abnormal mutually, then finally determine that user is abnormal electricity consumption;
(2) process of voltage out-of-limit anomaly analysis is: first determine that user object is specially become user; Then, the ABC three-phase voltage of electric supply meter is detected; If arbitrary phase voltage is greater than K1* reference voltage, or arbitrary phase voltage is not less than K3* reference voltage lower than K2* reference voltage, then determine that voltage is disconnected abnormal mutually; Wherein, K1 is 110, K2 be 90%, K3 is 60%;
Need the phase voltage of the monitoring point monitoring more than 3 or 3 to carry out voltage out-of-limit anomaly analysis in 1 day, and monitor for three days on end; If the voltage out-of-limit anomaly analysis result of carrying out in monitoring point for three days on end all determines that voltage out-of-limit is abnormal, then finally determine that user is abnormal electricity consumption;
(3) process of Voltage unbalance analysis is: first, detects the ABC three-phase voltage of electric supply meter; Each phase voltage in ABC three-phase is all greater than 0, calculating voltage unbalance factor; The computing formula of described Voltage unbalance rate is:
Voltage unbalance rate=[max (Ua, Ub, Uc)-min (Ua, Ub, Uc)]/max (Ua, Ub, Uc), wherein, max (Ua, Ub, Uc) be voltage max in ABC three-phase voltage, min (Ua, Ub, Uc) is voltage minimum in ABC three-phase voltage;
If Voltage unbalance rate is greater than preset value, then think Voltage unbalance;
Need the phase voltage monitoring multiple monitoring point to carry out Voltage unbalance analysis in 1 day, and continuous many days monitor; If the Voltage unbalance analysis result carried out in monitoring point for three days on end all determines Voltage unbalance, then finally determine that user is abnormal electricity consumption;
Described current anomaly analysis comprises 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.
In described fluctuant electricity quantity analytic process, the computing method of described fluctuation ratio are: the actual power consumption of fluctuation ratio=(moon actual power consumption-contrast moon power consumption)/moon.
In described fluctuant electricity quantity analytic process, described particular historical power consumption comprises the power consumption same period last year, last time checks meter power consumption, specify power consumption and average electricity on days.
Compared with the prior art, beneficial effect of the present invention is embodied in:
Abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis of the present invention, by the abnormal data of user power utilization amount, carries out analysis contrast, then determines which user is real abnormal user, and be defined as stealing user.
Abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis 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.
Abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis 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 is the process flow diagram (containing the parameters such as ammeter index, load, line loss) of the abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis of the present invention.
Fig. 2 is the structured flowchart of the electricity anti-stealing system of the abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis of the present invention.
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 based on electricity, voltage and current anomaly analysis of the present invention, described electricity anomaly analysis comprises fluctuant electricity quantity analytic process and zero coulometric analysis process;
Described fluctuant electricity quantity analytic process comprises: be analyzed the power consumption of the normal power consumer history run, search user's electricity fluctuation ratio according to fluctuation direction and exceed user's inventory of predetermined fluctuation ratio value, and be aided with multiple statistical condition and screening conditions, statistical condition and screening conditions comprise the parameters such as electricity date, user property, affiliated circuit, affiliated transformer station, and then analyze that to provide may be user's inventory of abnormal electricity, by staff abnormal user analyzed and check; For abnormal user, specify the particular historical power consumption of the power consumption of certain year certain month and this user to contrast, calculate fluctuation ratio, think that when fluctuation ratio exceedes predetermined fluctuation ratio value this user belongs to abnormal electricity consumption;
Described zero coulometric analysis process comprises: analyze the abnormal conditions that the normal power consumer daily power consumption run is 0, search user's inventory that continuous many daily power consumptions are zero, and be aided with multiple statistical condition and screening conditions, statistical condition and screening conditions comprise the parameters such as electricity date, user property, affiliated circuit, affiliated transformer station, and then analyze that to provide may be user's inventory of abnormal electricity, by staff abnormal user analyzed and check; Described many daily power consumptions be zero user be: from the fixed time (the described fixed time, to be certain daily power consumption be 0 date, the electricity date namely arranged in above-mentioned screening conditions) start, push away forward and occur that many days electricity are the user of zero continuously; If push away forward occur continuously many days electricity be zero date exceed predetermined number of days, then think that this user belongs to abnormal electricity consumption; Predetermined number of days is such as set as 5 days or 10 days, and predetermined number of days can be arranged according to actual conditions.Run user all should be able to produce electricity every day, if continuous many days do not produce electricity, suspects its multiplexing electric abnormality.
Described electric voltage exception analysis comprises voltage and to break phase anomaly analysis, voltage out-of-limit anomaly analysis and Voltage unbalance anomaly analysis;
(1) the break process of phase anomaly analysis of described voltage is: first determine that user object is specially become user, 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 voltage of electric supply meter, the arbitrary phase voltage in AC phase is less than the reference voltage that K* presets, and B phase voltage is not less than the reference voltage that K* presets, then determine that voltage is disconnected abnormal mutually;
If the ammeter mode of connection of user is three-phase four-wire system, then detect the ABC three-phase voltage of electric supply meter, arbitrary phase voltage in ABC three-phase is less than K* reference voltage, and in another two phase voltages simultaneously in ABC three-phase, arbitrary phase voltage is not less than K* reference voltage, then determine that voltage is disconnected abnormal mutually;
Wherein, described K value scope is at 50-70%, and 60% is best value;
Need the phase voltage of the monitoring point monitoring more than 3 or 3 to carry out voltage in 1 day to break phase anomaly analysis, and monitor for three days on end; If the disconnected mutually abnormal analysis result of the voltage carried out in monitoring point for three days on end all determines that voltage is disconnected abnormal mutually, then finally determine that user is abnormal electricity consumption;
(2) process of voltage out-of-limit anomaly analysis is: first determine that user object is specially become user; Then, the ABC three-phase voltage of electric supply meter is detected; If arbitrary phase voltage is greater than K1* reference voltage, or arbitrary phase voltage is not less than K3* reference voltage lower than K2* reference voltage, then determine that voltage is disconnected abnormal mutually; Wherein, K1 is 110, K2 be 90%, K3 is 60%;
Need the phase voltage of the monitoring point monitoring more than 3 or 3 to carry out voltage out-of-limit anomaly analysis in 1 day, and monitor for three days on end; If the voltage out-of-limit anomaly analysis result of carrying out in monitoring point for three days on end all determines that voltage out-of-limit is abnormal, then finally determine that user is abnormal electricity consumption;
(3) process of Voltage unbalance analysis is: first, detects the ABC three-phase voltage of electric supply meter; Each phase voltage in ABC three-phase is all greater than 0, calculating voltage unbalance factor; The computing formula of described Voltage unbalance rate is:
Voltage unbalance rate=[max (Ua, Ub, Uc)-min (Ua, Ub, Uc)]/max (Ua, Ub, Uc), wherein, max (Ua, Ub, Uc) be voltage max in ABC three-phase voltage, min (Ua, Ub, Uc) is voltage minimum in ABC three-phase voltage;
If Voltage unbalance rate is greater than preset value, then think Voltage unbalance;
Need the phase voltage monitoring multiple monitoring point (being no less than 10 points) to carry out Voltage unbalance analysis in 1 day, and monitor continuous many days (being no less than 3 days continuously); If the Voltage unbalance analysis result carried out in monitoring point for three days on end all determines Voltage unbalance, then finally determine that user is abnormal electricity consumption;
Described current anomaly analysis comprises 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 described fluctuant electricity quantity analytic process, the computing method of described fluctuation ratio are: the actual power consumption of fluctuation ratio=(moon actual power consumption-contrast moon power consumption)/moon.Such as, certain family in January, 2014 power consumption is 3678.6 kilowatt hours, and last month, (i.e. in Dec, 2013), electricity was 59.0546 kilowatt hours, and according to formula, stability bandwidth is: (3678.6-59.0546)/3678.6=98.3%.Herein, contrast moon power consumption and be chosen as power consumption last month.
In described fluctuant electricity quantity analytic process, described particular historical power consumption comprises the power consumption same period last year, last time checks meter power consumption, specify power consumption and average electricity on days.
The important performance of another one after user's stealing is exactly that power consumption exception can occur, the situation of what electricity may occur within a period of time uprush anticlimax or zero electricity, filter out the factor such as seasonal electricity consumption, productivity electricity consumption, user's day electricity is fluctuated, zero coulometric analysis, find out the situation of continuous zero electricity, electricity unusual fluctuations, for work of electricity anti-stealing provides abnormal Electricity customers information accurately and timely.
The analysis of abnormal electricity comprises two kinds of situations: fluctuant electricity quantity analysis and zero coulometric analysis.
(1) fluctuant electricity quantity analysis: the power consumption of the normal power consumer history run is analyzed, search user's electricity fluctuation ratio according to fluctuation direction and exceed user's inventory of a certain value, and be aided with multiple statistical condition and screening conditions, and then analyze that to provide may be user's inventory of abnormal electricity, assist staff analyze these emphasis abnormal user and check.
Fluctuation ratio: the amplitude of variation referring to the power consumption of user 2 the contrast moon.Fluctuation ratio=moon actual power consumption-contrast moon power consumption/contrast power consumption.
Fluctuation direction: referring to the actual power consumption of user relative to contrasting the power consumption of the moon and being the increase in also is the reduction of, adds the stability bandwidth calculated and represents it is amplification (stability bandwidth is greater than 0), decreases the stability bandwidth calculated and represent it is subtract floating (stability bandwidth is less than 0).
Fluctuant electricity quantity method: specify the power consumption of certain year certain month and a certain power consumption of this family history to contrast, calculate fluctuation ratio, think that when fluctuation ratio exceedes certain value this fluctuation belongs to abnormal electricity consumption.The contrast of 4 kinds of fluctuant electricity quantities is had to select at present: to check meter the same period last year, last time, specify days, average electricity.
The same period last year: certain year power consumption below the moon and last year are with the difference fluction analysis of month power consumption.
Last time checks meter: the difference fluction analysis of certain year power consumption below the moon and the power consumption in this family last cycle of checking meter.
Specify days: the difference fluction analysis of the power consumption in certain year power consumption below the moon and this family certain January any.
Average electricity: certain year power consumption below the moon and the difference fluction analysis (average electricity is defaulted as the average moon power consumption of first 6 months of user) of user's average electricity in certain period.
(2) zero coulometric analyses: the abnormal conditions that the normal power consumer daily power consumption run is 0 are analyzed, according to searching user's inventory that continuous multiple daily power consumption is zero, be aided with multiple statistical condition and screening conditions, and then analyze that to provide may be user's inventory of abnormal electricity, assist staff analyze these emphasis abnormal user and check.
Fixed time, push away forward and occur that many days electricity are the user of zero continuously.
The restriction increasing the time of filing is needed when continuous zero electricity anomaly analysis is carried out to low-voltage customer.File after a certain time for low-voltage customer, we can think that continuous zero electricity of appearance is normal, and the user filed before this time occurs that continuous zero electricity thinks exception.
Electric voltage exception has three kinds of performances: electric sampling open-phase, voltage out-of-limit, Voltage unbalance.
(1) electric sampling open-phase: user object for specially to become user, and according to the difference of the ammeter mode of connection, judges that the method for electric sampling open-phase is also different:
Phase three-wire three breaks phase: in AC phase, arbitrary phase voltage is less than K* reference voltage, and another phase voltage is not less than K* reference voltage.K recommended value is 60%.
Such as: reference voltage is set as that 220, K value is decided to be 60%, reference voltage * K value=132.
This electric energy meter A phase voltage that 2:00 gathers in one day is 120<132, C phase voltage 150>132, inherent one day after multiple point there is repeatedly this situation equally, and have three days continuously at least so, just think that the exception of electric sampling open-phase has appearred in this electric energy meter.
Three-phase and four-line breaks phase: arbitrary phase voltage is less than K* reference voltage, and in another two phase voltages, arbitrary phase voltage is not less than K* reference voltage.K recommended value is 60%.
Need to monitor multiple point (3 somes acquiescence every day) in one day, and all meet data diagnosis requirement for three days on end be just judged to be exception.
(2) voltage out-of-limit: user object is the low pressure emphasis user specially becoming user or satisfy the requirements.Arbitrary phase voltage is greater than K1* reference voltage, or arbitrary phase voltage is not less than K3* reference voltage lower than K2* reference voltage.Need to monitor multiple point (3 somes acquiescence every day) in one day, and all meet data diagnosis requirement for three days on end be just judged to be exception, suggestion K1 is 110, K2 be 90%, K3 is 60%.
Such as: reference voltage is setting 380, K1=110%, K2=90%, K3=60%.Then reference voltage * K1=418, reference voltage * K2=342, reference voltage * K3=228.
Certain block electric energy meter is in A phase voltage 260 that 19:00 gathers one day (lower than 342 and be not less than 228), B phase voltage 280 (lower than 342 and be not less than 228), C phase voltage 265 (lower than 342 and be not less than 228), and there is this situation equally for three days on end afterwards, we think that this electric energy meter has occurred that voltage out-of-limit is abnormal.
(3) Voltage unbalance
When each phase voltage is all greater than 0, according to formulae discovery Voltage unbalance rate below.
Voltage unbalance rate=[max (Ua, Ub, Uc)-min (Ua, Ub, Uc)]/max (Ua, Ub, Uc)
After obtaining Voltage unbalance rate, judge that whether Voltage unbalance rate is higher than the Voltage unbalance rate limit value preset.Within one day, domestic demand monitors multiple point, and continuously monitoring is many daily meets data diagnosis requirement and just generate exception.
Such as: setting voltage unbalance factor limit value is 20%.
Certain family block table 0 A phase voltage 209.5, B phase voltage 208.5, C phase 74.9 gathered, Voltage unbalance rate calculates:
(209.5-74.9)/209.5=64.25%, 64.25% is greater than 20%.If detect that in one day 6 Voltage unbalance rates are more than 20% simultaneously, then think that this electric energy meter has occurred that Voltage unbalance is abnormal.
During concrete judgement, voltage phase anomaly analysis, voltage out-of-limit anomaly analysis and Voltage unbalance anomaly analysis three kinds of modes of breaking can judge separately, and also can be combined with each other makes a decision.
Described current anomaly analysis comprises 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.
Abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis of the present invention, by the abnormal data of user power utilization amount, voltage and current, carries out analysis contrast, then determines which user is real abnormal user, and be defined as stealing user.
Be the structured flowchart of the electricity anti-stealing system of the abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis of the present invention as Fig. 2, 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 information such as power consumption, voltage and current 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.
Electricity filching means around electric power meter is multifarious, very strange, but divide by electric energy metrical principle, its kind is also few, and electric energy meter metering watt level and following factor are remembered the electricity consumption time these four and measured about the voltage circuit voltage of: electric energy meter, current return electric current, phase relation between measuring voltage and measurement electric current.Change wherein any one factor, metering all can be caused inaccurate, thus reach the object of stealing.We are by Various types of data such as user's electric energy measurement data, operating conditions in access electricity consumption acquisition system, Real-Time Monitoring is carried out to user's electric energy meter voltage, electric current, these important parameters of load, and analyze according to the Production conditions to real-time data collection, incidence relation, determine electricity exception, electric current and voltage exception, abnormal 3 class of load 10 diagnostic analysis models, by abnormal judgement, Timeliness coverage user stealing suspicion situation.
During concrete enforcement, do not carry out the anomaly analysis of ammeter by means of only electricity, these three parameters of voltage and current.Wherein also be aided with other analytical approachs such as the monitoring of ammeter exponential anomaly, load exception monitoring, line loss anomaly analysis.As the process flow diagram that Fig. 1 is the multiplexing electric abnormality analytic process containing other Parameter analysis.
(1) exponential anomaly monitoring;
Judge that user's electric energy meter day forward is gained merit total electric energy indicating value, forward is idle total electric energy indicating value, if occur current indicating value be less than the previous day indicating value or in 2 days the difference of indicating value equal 0, then illustrate that user's electric energy meter occurs down walking or stops walking exception.
(2) load exception monitoring;
Customer charge exceeds working capacity, and whether the ratio calculating active power and working capacity exceeds limits threshold values K in mono-day and monitor repeatedly, and monitoring is judged to be abnormal (give tacit consent to every day 3 times, for three days on end, adjustable parameters configuration) for many days continuously.
(3) line loss anomaly analysis;
Line loss abnormity diagnosis model of opposing electricity-stealing is set up by the situation of change of analysis circuit, the loss of platform district, the user that circuit for loss exception can successively be traced back under this circuit becomes with public, public affairs for loss exception become the user that can trace back under this district, by zone-by-zone analysis, find stealing suspicious points.
Distribution line loss is abnormal: according to the monthly loss of circuit, carry out on year-on-year basis, the fluction analysis of chain rate, finds out the situation that line loss fluctuation is abnormal.Abnormal by the fluctuation of line loss, under can inferring this circuit, user power utilization is abnormal, more obvious for individual line subscriber meaning.
Distributing net platform region loss is abnormal: according to the monthly loss in platform district, carry out on year-on-year basis, the fluction analysis of chain rate, finds out the situation that line loss fluctuation is abnormal.Abnormal by the fluctuation of line loss, under can inferring this district, user power utilization is abnormal, is one of effective foundation of stealing judgement.
Abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis 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.
Abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis 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 (3)

1. based on the abnormal electricity consumption determination methods of electricity, voltage and current anomaly analysis, it is characterized in that, described electricity anomaly analysis comprises fluctuant electricity quantity analytic process and zero coulometric analysis process;
Described fluctuant electricity quantity analytic process comprises: be analyzed the power consumption of the normal power consumer history run, search user's electricity fluctuation ratio according to fluctuation direction and exceed user's inventory of predetermined fluctuation ratio value, and then analyze that to provide may be user's inventory of abnormal electricity, by staff abnormal user analyzed and check; For abnormal user, specify the particular historical power consumption of the power consumption of certain year certain month and this user to contrast, calculate fluctuation ratio, think that when fluctuation ratio exceedes predetermined fluctuation ratio value this user belongs to abnormal electricity consumption;
Described zero coulometric analysis process comprises: analyze the abnormal conditions that the normal power consumer daily power consumption run is 0, search user's inventory that continuous many daily power consumptions are zero, and then analyze that to provide may be user's inventory of abnormal electricity, by staff abnormal user analyzed and check; Described many daily power consumptions be zero user be: from the fixed time, push away forward and occur that continuously many days electricity are the user of zero; If push away forward occur continuously many days electricity be zero date exceed predetermined number of days, then think that this user belongs to abnormal electricity consumption;
Described electric voltage exception analysis comprises voltage and to break phase anomaly analysis, voltage out-of-limit anomaly analysis and Voltage unbalance anomaly analysis;
(1) the break process of phase anomaly analysis of described voltage is: first determine that user object is specially become user, 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 voltage of electric supply meter, the arbitrary phase voltage in AC phase is less than the reference voltage that K* presets, and B phase voltage is not less than the reference voltage that K* presets, then determine that voltage is disconnected abnormal mutually;
If the ammeter mode of connection of user is three-phase four-wire system, then detect the ABC three-phase voltage of electric supply meter, arbitrary phase voltage in ABC three-phase is less than K* reference voltage, and in another two phase voltages simultaneously in ABC three-phase, arbitrary phase voltage is not less than K* reference voltage, then determine that voltage is disconnected abnormal mutually;
Wherein, described K value scope is at 50-70%, and 60% is best value;
Need the phase voltage of the monitoring point monitoring more than 3 or 3 to carry out voltage in 1 day to break phase anomaly analysis, and monitor for three days on end; If the disconnected mutually abnormal analysis result of the voltage carried out in monitoring point for three days on end all determines that voltage is disconnected abnormal mutually, then finally determine that user is abnormal electricity consumption;
(2) process of voltage out-of-limit anomaly analysis is: first determine that user object is specially become user; Then, the ABC three-phase voltage of electric supply meter is detected; If arbitrary phase voltage is greater than K1* reference voltage, or arbitrary phase voltage is not less than K3* reference voltage lower than K2* reference voltage, then determine that voltage is disconnected abnormal mutually; Wherein, K1 is 110, K2 be 90%, K3 is 60%;
Need the phase voltage of the monitoring point monitoring more than 3 or 3 to carry out voltage out-of-limit anomaly analysis in 1 day, and monitor for three days on end; If the voltage out-of-limit anomaly analysis result of carrying out in monitoring point for three days on end all determines that voltage out-of-limit is abnormal, then finally determine that user is abnormal electricity consumption;
(3) process of Voltage unbalance analysis is: first, detects the ABC three-phase voltage of electric supply meter; Each phase voltage in ABC three-phase is all greater than 0, calculating voltage unbalance factor; The computing formula of described Voltage unbalance rate is:
Voltage unbalance rate=[max (Ua, Ub, Uc)-min (Ua, Ub, Uc)]/max (Ua, Ub, Uc), wherein, max (Ua, Ub, Uc) be voltage max in ABC three-phase voltage, min (Ua, Ub, Uc) is voltage minimum in ABC three-phase voltage;
If Voltage unbalance rate is greater than preset value, then think Voltage unbalance;
Need the phase voltage monitoring multiple monitoring point to carry out Voltage unbalance analysis in 1 day, and continuous many days monitor; If the Voltage unbalance analysis result carried out in monitoring point for three days on end all determines Voltage unbalance, then finally determine that user is abnormal electricity consumption;
Described current anomaly analysis comprises 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.
2. the abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis according to claim 1, it is characterized in that, in described fluctuant electricity quantity analytic process, the computing method of described fluctuation ratio are: the actual power consumption of fluctuation ratio=(moon actual power consumption-contrast moon power consumption)/moon.
3. the abnormal electricity consumption determination methods based on electricity, voltage and current anomaly analysis according to claim 1, it is characterized in that, in described fluctuant electricity quantity analytic process, described particular historical power consumption comprises the power consumption same period last year, last time checks meter power consumption, specify power consumption and average electricity on days.
CN201410706073.2A 2014-11-27 2014-11-27 Abnormal electricity utilization judgment method based on abnormal analysis of electric quantity, voltage and current CN104407268A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410706073.2A CN104407268A (en) 2014-11-27 2014-11-27 Abnormal electricity utilization judgment method based on abnormal analysis of electric quantity, voltage and current

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410706073.2A CN104407268A (en) 2014-11-27 2014-11-27 Abnormal electricity utilization judgment method based on abnormal analysis of electric quantity, voltage and current

Publications (1)

Publication Number Publication Date
CN104407268A true CN104407268A (en) 2015-03-11

Family

ID=52644913

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410706073.2A CN104407268A (en) 2014-11-27 2014-11-27 Abnormal electricity utilization judgment method based on abnormal analysis of electric quantity, voltage and current

Country Status (1)

Country Link
CN (1) CN104407268A (en)

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104765015A (en) * 2015-04-16 2015-07-08 国家电网公司 Method for rapidly testing measurement wiring correctness by means of data integration method
CN105005877A (en) * 2015-08-12 2015-10-28 上海申瑞继保电气有限公司 Load early warning method for user side energy management system
CN105811580A (en) * 2016-03-16 2016-07-27 国家电网公司 Electricity theft report system and method
CN106022951A (en) * 2016-05-09 2016-10-12 北京智芯微电子科技有限公司 Electricity consumption abnormity analysis method and apparatus
CN106291029A (en) * 2016-08-18 2017-01-04 卢志旭 A kind of preventing fraudulent use of electricity system based on user power utilization custom
CN106324309A (en) * 2016-08-18 2017-01-11 卢志旭 User electric power theft monitoring system based on user side
CN106373025A (en) * 2016-08-22 2017-02-01 重庆邮电大学 Outlier detection-based real-time anti-power-theft monitoring method for power utilization information acquisition system
CN106405180A (en) * 2016-08-18 2017-02-15 卢志旭 Method for preventing electricity from being stolen
CN106645935A (en) * 2016-12-27 2017-05-10 国网浙江象山县供电公司 Electricity usage monitoring method and system
CN106707099A (en) * 2016-11-30 2017-05-24 国网上海市电力公司 Monitoring and locating method based on abnormal electricity consumption detection module
CN106777244A (en) * 2016-12-27 2017-05-31 国网浙江象山县供电公司 A kind of power customer electricity consumption behavior analysis method and system
CN107024641A (en) * 2017-03-29 2017-08-08 国网上海市电力公司 A kind of platform area line loss per unit exception monitoring system
CN107167656A (en) * 2017-06-12 2017-09-15 国家电网公司 Electricity consumption monitoring method and device based on intelligent electric meter
CN107390160A (en) * 2017-08-04 2017-11-24 国网浙江省电力公司 It is a kind of that table wiring mistake determination methods are changed based on electricity fluctuation exception
CN107680368A (en) * 2017-09-06 2018-02-09 国网辽宁省电力有限公司 A kind of metering device on-line monitoring and intelligent diagnosing method based on gathered data
CN108303576A (en) * 2018-01-30 2018-07-20 国家电网公司 The method of fast automatic examination and positioning stealing and wrong wiring of electric energy meter
CN109001547A (en) * 2017-06-07 2018-12-14 广东电网有限责任公司佛山供电局 A kind of power distribution voltage imbalance judgment method based on metering centralized meter reading terminal data
CN109001548A (en) * 2017-06-07 2018-12-14 广东电网有限责任公司佛山供电局 A kind of distribution transforming current imbalance judgment method based on metering centralized meter reading terminal data
CN109063929A (en) * 2018-08-29 2018-12-21 广东电网有限责任公司 It opposes electricity-stealing analysis and early warning method, apparatus and computer readable storage medium
CN109270316A (en) * 2018-09-28 2019-01-25 国网河北省电力有限公司沧州供电分公司 A kind of power consumer electricity consumption abnormality recognition method, device and terminal device
CN109298227A (en) * 2018-08-23 2019-02-01 宁波三星医疗电气股份有限公司 A method of detection user's electricity is abnormal
CN109948669A (en) * 2019-03-04 2019-06-28 腾讯科技(深圳)有限公司 A kind of abnormal deviation data examination method and device
CN110297207A (en) * 2019-07-08 2019-10-01 国网上海市电力公司 Method for diagnosing faults, system and the electronic device of intelligent electric meter

Citations (6)

* Cited by examiner, † Cited by third party
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
US20090128157A1 (en) * 2006-02-27 2009-05-21 Kouki Moriya Abnormality Determination Device of Power Supply and Abnormality Determination Method Thereof
CN102338833A (en) * 2011-06-03 2012-02-01 厦门科华恒盛股份有限公司 Method and device for detecting abnormality of mains supply quickly
CN102403794A (en) * 2011-09-26 2012-04-04 国网信息通信有限公司 Integrated management system of intelligent power grid
CN104036357A (en) * 2014-06-12 2014-09-10 国家电网公司 Analysis method for electricity stealing behavioral mode of electricity utilization of user
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

Patent Citations (6)

* Cited by examiner, † Cited by third party
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
US20090128157A1 (en) * 2006-02-27 2009-05-21 Kouki Moriya Abnormality Determination Device of Power Supply and Abnormality Determination Method Thereof
CN102338833A (en) * 2011-06-03 2012-02-01 厦门科华恒盛股份有限公司 Method and device for detecting abnormality of mains supply quickly
CN102403794A (en) * 2011-09-26 2012-04-04 国网信息通信有限公司 Integrated management system of intelligent power grid
CN104036357A (en) * 2014-06-12 2014-09-10 国家电网公司 Analysis method for electricity stealing behavioral mode of electricity utilization of user
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

Cited By (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104765015A (en) * 2015-04-16 2015-07-08 国家电网公司 Method for rapidly testing measurement wiring correctness by means of data integration method
CN105005877A (en) * 2015-08-12 2015-10-28 上海申瑞继保电气有限公司 Load early warning method for user side energy management system
CN105005877B (en) * 2015-08-12 2020-09-01 上海卓源节能科技有限公司 Load early warning method for energy management system of user side
CN105811580A (en) * 2016-03-16 2016-07-27 国家电网公司 Electricity theft report system and method
CN105811580B (en) * 2016-03-16 2018-09-07 国家电网公司 A kind of stealing prosecution system and method
CN106022951A (en) * 2016-05-09 2016-10-12 北京智芯微电子科技有限公司 Electricity consumption abnormity analysis method and apparatus
CN106324309A (en) * 2016-08-18 2017-01-11 卢志旭 User electric power theft monitoring system based on user side
CN106405180A (en) * 2016-08-18 2017-02-15 卢志旭 Method for preventing electricity from being stolen
CN106291029A (en) * 2016-08-18 2017-01-04 卢志旭 A kind of preventing fraudulent use of electricity system based on user power utilization custom
CN106373025A (en) * 2016-08-22 2017-02-01 重庆邮电大学 Outlier detection-based real-time anti-power-theft monitoring method for power utilization information acquisition system
CN106373025B (en) * 2016-08-22 2019-07-19 重庆邮电大学 Power information acquisition system based on outlier detection anti-electricity-theft monitoring method in real time
CN106707099A (en) * 2016-11-30 2017-05-24 国网上海市电力公司 Monitoring and locating method based on abnormal electricity consumption detection module
CN106707099B (en) * 2016-11-30 2019-04-12 国网上海市电力公司 Monitoring and positioning method based on abnormal electricity consumption detection model
CN106777244A (en) * 2016-12-27 2017-05-31 国网浙江象山县供电公司 A kind of power customer electricity consumption behavior analysis method and system
CN106645935A (en) * 2016-12-27 2017-05-10 国网浙江象山县供电公司 Electricity usage monitoring method and system
CN106645935B (en) * 2016-12-27 2019-06-18 国网浙江象山县供电公司 Electricity consumption monitoring method and system
CN107024641A (en) * 2017-03-29 2017-08-08 国网上海市电力公司 A kind of platform area line loss per unit exception monitoring system
CN109001547A (en) * 2017-06-07 2018-12-14 广东电网有限责任公司佛山供电局 A kind of power distribution voltage imbalance judgment method based on metering centralized meter reading terminal data
CN109001548A (en) * 2017-06-07 2018-12-14 广东电网有限责任公司佛山供电局 A kind of distribution transforming current imbalance judgment method based on metering centralized meter reading terminal data
CN107167656A (en) * 2017-06-12 2017-09-15 国家电网公司 Electricity consumption monitoring method and device based on intelligent electric meter
CN107390160A (en) * 2017-08-04 2017-11-24 国网浙江省电力公司 It is a kind of that table wiring mistake determination methods are changed based on electricity fluctuation exception
CN107680368A (en) * 2017-09-06 2018-02-09 国网辽宁省电力有限公司 A kind of metering device on-line monitoring and intelligent diagnosing method based on gathered data
CN108303576B (en) * 2018-01-30 2019-11-29 国家电网有限公司 The method of fast automatic examination and positioning stealing and wrong wiring of electric energy meter
CN108303576A (en) * 2018-01-30 2018-07-20 国家电网公司 The method of fast automatic examination and positioning stealing and wrong wiring of electric energy meter
CN109298227A (en) * 2018-08-23 2019-02-01 宁波三星医疗电气股份有限公司 A method of detection user's electricity is abnormal
CN109063929A (en) * 2018-08-29 2018-12-21 广东电网有限责任公司 It opposes electricity-stealing analysis and early warning method, apparatus and computer readable storage medium
CN109270316A (en) * 2018-09-28 2019-01-25 国网河北省电力有限公司沧州供电分公司 A kind of power consumer electricity consumption abnormality recognition method, device and terminal device
CN109270316B (en) * 2018-09-28 2021-02-26 国网河北省电力有限公司沧州供电分公司 Power consumer power consumption abnormity identification method and device and terminal equipment
CN109948669A (en) * 2019-03-04 2019-06-28 腾讯科技(深圳)有限公司 A kind of abnormal deviation data examination method and device
CN110297207A (en) * 2019-07-08 2019-10-01 国网上海市电力公司 Method for diagnosing faults, system and the electronic device of intelligent electric meter

Similar Documents

Publication Publication Date Title
Zhang et al. Big data analytics in smart grids: a review
Yu et al. Big data analytics in power distribution systems
CN103872782B (en) A kind of power quality data integrated service system
JP5452613B2 (en) Power grid supply interruption and failure status management
US8983670B2 (en) Energy consumption disaggregation system
US8280656B2 (en) System and method for providing power distribution system information
US9194899B2 (en) Utility network and revenue assurance
CN101571563B (en) Integrative electric energy quality monitoring terminal
CN103647276B (en) A kind of quality of power supply early warning system and method thereof
CN102866321B (en) Self-adaptive stealing-leakage prevention diagnosis method
CN202929077U (en) Electricity stealing resistant device and its system
Viegas et al. Solutions for detection of non-technical losses in the electricity grid: A review
CN103197177B (en) A kind of transformer fault diagnosis analytical approach based on Bayesian network
CN103208091B (en) A kind of method of opposing electricity-stealing excavated based on power load Management System Data
Mohsenian-Rad et al. Distribution synchrophasors: Pairing big data with analytics to create actionable information
US8076910B2 (en) Power factor correction using hierarchical context of a power monitoring system
CN101958544B (en) System and method for calculating line loss rate of electric power distribution line
US7469190B2 (en) Automated system approach to analyzing harmonic distortion in an electric power system
Kargarian et al. Reactive power market management considering voltage control area reserve and system security
Alahakoon et al. Advanced analytics for harnessing the power of smart meter big data
CN102629340B (en) Energy efficiency artificial intelligence analysis system
CN106093652B (en) A kind of non-intrusive electrical load monitoring System and method for having self-learning function
CN204269811U (en) Electric energy meter remote online monitoring system
CN102879735B (en) Online electric abrasion detecting method and system of vacuum circuit breaker
EP2535997A2 (en) Systems, methods, and apparatus for evaluating load power consumption utilizing a power meter

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
C10 Entry into substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20150311

RJ01 Rejection of invention patent application after publication