CN107831379A - Judge the abnormal method of line loss based on collection electricity unusual fluctuations - Google Patents

Judge the abnormal method of line loss based on collection electricity unusual fluctuations Download PDF

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Publication number
CN107831379A
CN107831379A CN201710825095.4A CN201710825095A CN107831379A CN 107831379 A CN107831379 A CN 107831379A CN 201710825095 A CN201710825095 A CN 201710825095A CN 107831379 A CN107831379 A CN 107831379A
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China
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line loss
electricity
collection
per unit
abnormal
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CN201710825095.4A
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CN107831379B (en
Inventor
杨顺尧
刘玉璞
张旭东
李亚楠
张云鹏
王晓甜
孙钊
董旭
赵奇
张铁军
宋国维
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State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
Shijiazhuang Power Supply Co of State Grid Hebei Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
Shijiazhuang Power Supply Co of State Grid Hebei Electric Power Co Ltd
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Priority to CN201710825095.4A priority Critical patent/CN107831379B/en
Publication of CN107831379A publication Critical patent/CN107831379A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere

Abstract

The present invention relates to judge the abnormal method of line loss based on collection electricity unusual fluctuations,Belong to technical field of electric power,Comprehensive analysis quickly is carried out to collection electricity using this method,From collection electricity mutation,Low-load,Capacity change electricity fluctuation,Collection electricity, which fluctuates and gathered five directions of electricity and the negatively correlated fluctuation of line loss per unit with line loss per unit positive correlation, seeks the influence to caused by line loss,By gathering SOC values and undulating value,SOC values at full capacity,Gather the electricity upper limit,Multiple qualifications such as affiliated taiwan area or the line loss per unit section of circuit and undulating value are as basis for estimation,Shown by gathering electricity with line loss per unit wave patternization,Can precisely it filter out due to gathering electricity unusual fluctuations caused by connection box of electric energy meter mistake or artificial stealing etc.,Judge whether it is that collection electricity unusual fluctuations cause line loss abnormal,Strong data supporting is provided for field check personnel,Improve the operating efficiency of line loss improvement.

Description

Judge the abnormal method of line loss based on collection electricity unusual fluctuations
Technical field
The invention belongs to technical field of electric power, is related to the method for judging that line loss is abnormal, and in particular to different based on collection electricity The dynamic method for judging that line loss is abnormal of ordinary wave.
Background technology
Line loss is abnormal single according to condition when existing technology judges, i.e., a unusual fluctuations occurs in the gathered data of electricity It is assumed that it is abnormal for collection electricity, not by exception and SOC values at full capacity, the collection electricity upper limit, affiliated taiwan area or circuit The many factors such as line loss per unit section and undulating value consider, and the most of exception for causing to filter out does not influence line loss per unit, Gather electricity and line loss per unit be relatively independent, line loss analyzing personnel can not intuitive judgment its corresponding relation, to professional standards and more Specialty fusion requires high, adds field check personnel's workload, reduces the operating efficiency of professional.
The content of the invention
Instant invention overcomes the shortcomings that prior art, there is provided one kind judges line loss exception based on collection electricity unusual fluctuations Method, this method can precisely filter out due to caused by connection box of electric energy meter mistake or artificial stealing etc. gather electricity extraordinary wave It is dynamic, strong data supporting is provided for field check personnel, improves the operating efficiency of line loss improvement.
The present invention concrete technical scheme be:
Judge the abnormal method of line loss based on collection electricity unusual fluctuations, this method be the wrong critical point of filtering collection, The energy data of user, exclude due to the exceptional sample of harvester failure, exclude to exist and tear table open, change the user data of surface low journey And by checking metering method, rated voltage electric current, the mode of connection of electric energy meter in User Profile information, exclude files on each of customers Carried out on the basis of the problem of typing mistake, key point is that described method judges using collection electricity mutation parameter The abnormal judgement operation of line loss, the judgement operating procedure are as follows:
A1, if specially becoming or the public collection electric quantity data become, then skip to step A2;If low-voltage single-phase electric energy table Electric quantity data is gathered, then skips to step A3;If the collection electric quantity data of low voltage three-phase electric energy meter, then skip to step A4;It is no Then, step A5 is skipped to;
A2, specially change or public change:The collection electric quantity data specially become or public affairs become is analyzed, if collection day electricity is more than two The electricity at full capacity of individual consecutive days, and be more than 50000 kilowatt hours, then it is judged as that gathering electricity mutation causes line loss abnormal;Otherwise, Skip to step A5;
A3, low-voltage single-phase electric energy table:Low-voltage single-phase electric energy table collection electric quantity data is analyzed, if collection day electricity More than the electricity at full capacity of two consecutive days, and it is more than 2000 kilowatt hours, then is judged as that gathering electricity mutation causes line loss abnormal; Otherwise, step A5 is skipped to;
A4, low voltage three-phase electric energy meter:Low voltage three-phase electric energy meter collection electric quantity data is analyzed, if collection day electricity More than the electricity at full capacity of two consecutive days, and it is more than 10000 kilowatt hours, then is judged as that gathering electricity mutation causes line loss different Often;Otherwise, step A5 is skipped to;
A5, line loss are without exception, and operation terminates.
Described method also operates using the abnormal judgement of low-load parameter decision line loss, and the operation is:To specially becoming Or the public collection electric quantity data that becomes is analyzed, if collection moon electricity is less than the electricity at full capacity of three consecutive days, at the same it is affiliated Taiwan area line loss per unit is not in 0-9% sections or affiliated circuit line loss per unit is not in 0-5% sections, that is, is judged as that low-load causes Line loss is abnormal.
Described method also causes the abnormal judgement of line loss to operate using capacity change electricity fluctuation, judgement operation For:If the collection electric quantity data that specially change or public affairs become, then carry out step 31);If the collection electric quantity data of low-voltage customer, Then carry out step 32);Otherwise, step 33) is skipped to;
31), specially become or public affairs become:The collection electric quantity data specially become or public affairs become is analyzed, line side new clothes, increase-volume, subtracted Hold specially change or public circuit line loss per unit become and affiliated not in 0-5% sections, that is, be judged as that capacity change electricity fluctuation causes Line loss is abnormal;Otherwise, judge that line loss is without exception, skip to step 33);
32), user:To user gather electric quantity data analyze, taiwan area user side new clothes, increase-volume, volume reduction and it is affiliated Taiwan area line loss per unit is judged as that capacity change electricity fluctuation causes line loss abnormal not in 0-9% sections;Otherwise, line is judged Damage without exception, skip to step 33);
33) operation terminates.
Described method, which also includes collection electricity and line loss per unit positive correlation fluctuation, causes the abnormal judgement of line loss to operate, the behaviour As:Specially change or public affairs are become or low-voltage customer collection electric quantity data is analyzed, if collection electricity increases or reduction 10%, and Affiliated circuit or taiwan area line loss per unit, which were accordingly raised and lowered in 3%, and 40 consecutive days, to be occurred more than 8 times, that is, is judged as adopting Collection electricity causes line loss abnormal with line loss per unit positive correlation fluctuation.
Described method, which also includes collection electricity and the negatively correlated fluctuation of line loss per unit, causes the abnormal judgement of line loss to operate, the behaviour It is as follows to make step:
51), the change of exclusion dual power supply user total electricity is less than 30% data first, afterwards if what special change or public affairs became Electric quantity data is gathered, then carries out step 52);If the collection electric quantity data of low-voltage customer, then step 53) is carried out;
52), to specially becoming or the public collection electric quantity data become is analyzed, if collection electricity is decreased or increased 33%, and Affiliated circuit line loss per unit is accordingly raised and lowered 5%, while affiliated circuit line loss per unit is judged as not in 0-5% sections Collection electricity causes line loss abnormal with the negatively correlated fluctuation of line loss per unit;Skip to step 54);
53), the collection electric quantity data to user is analyzed, if collection electricity is decreased or increased 33%, and affiliated platform Area's line loss per unit is accordingly raised and lowered 5%, while affiliated taiwan area line loss per unit is judged as collection electricity not in 0-9% sections Amount causes line loss abnormal with the negatively correlated fluctuation of line loss per unit;Skip to step 54);
54), terminate.
Described method also includes collection electricity and the graphical representation of line loss per unit fluctuation operates, and the operation includes will be special Become, public become gathers electricity and affiliated circuit line loss per unit and be patterned displaying according to the trend of time change;And will be low Single-phase electric energy meter, three-phase electric energy meter collection electricity and affiliated taiwan area line loss per unit and the trend according to time change are pressed, carries out figure Shapeization is shown.
The beneficial effects of the invention are as follows:The present invention will gather SOC values by carrying out comprehensive analysis to collection electricity And undulating value, SOC values, the collection electricity upper limit, affiliated taiwan area or the line loss per unit section of circuit and undulating value etc. are multiple at full capacity Qualifications are as basis for estimation, from collection electricity mutation, low-load, the fluctuation of capacity change electricity, collection electricity and line loss per unit Positive correlation is fluctuated and the influence to caused by line loss is sought in five directions of collection electricity and the negatively correlated fluctuation of line loss per unit, while by adopting Collect electricity and show that this method can be filtered out precisely due to connection box of electric energy meter mistake or artificial stealing with line loss per unit wave patternization Electricity unusual fluctuations are gathered Deng caused by, strong data supporting is provided for field check personnel, improve the work of line loss improvement Make efficiency.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of method in the present invention.
Embodiment
Collection electricity unusual fluctuations are an important components in aggregation of data analysis platform, aggregation of data analysis platform It is framed in power information acquisition system, sales service application system, the data mining on the electric energy system of critical point and analysis system. The gathered data provided using power information acquisition system and critical point electric energy system, is become with reference to sales service application system neutral Relation, become family relation, critical point and files on each of customers and operation flow modification information, by electric energy meter current voltage, collecting device Etc. monitored on-line, comprehensive analysis and intelligent diagnostics, can position accurately, in time metering device failure, the circuit that stealing triggers, Taiwan area line loss is abnormal, and raising business is ageing, reduces operating loss, reduces customer complaint risk.
The present invention relates to the abnormal method of line loss is judged based on collection electricity unusual fluctuations, this method is wrong in filtering collection Critical point, the energy data of user, exclude due to the exceptional sample of harvester failure, exclude to exist and tear table open, change surface low journey by mistake User data and through inspection User Profile information in electric energy meter metering method, rated voltage electric current, the mode of connection, row Except what is carried out on the basis of the problem of files on each of customers typing mistake, described method judges using collection electricity mutation parameter The abnormal judgement operation of line loss.
Specific embodiment, as shown in figure 1, carrying out data inspection first and removing wrong data, then gathered for user Data are analyzed, and are judged whether it is that data acquisition device breaks down, if there is failure, are then terminated sentencing for line loss exception It is disconnected, if do not broken down, customer service flow and archives are checked, judge whether flow or archives problem, if it is, Then terminate the abnormal judgement of line loss, if it is not, then being acquired electricity unusual fluctuations causes the abnormal judgement of line loss, the judgement Operation from collection electricity mutation, low-load, the fluctuation of capacity change electricity, collection electricity and line loss per unit positive correlation fluctuation and is adopted respectively Seek the influence to caused by line loss in five directions of collection electricity and the negatively correlated fluctuation of line loss per unit.
(1) it is as follows from the abnormal operating procedure of collection electricity mutation walking direction line loss:
A1, if specially becoming or the public collection electric quantity data become, then skip to step A2;If low-voltage single-phase electric energy table Electric quantity data is gathered, then skips to step A3;If the collection electric quantity data of low voltage three-phase electric energy meter, then skip to step A4;It is no Then, step A5 is skipped to;
A2, specially change or public change:The collection electric quantity data specially become or public affairs become is analyzed, if collection day electricity is more than two The electricity at full capacity of individual consecutive days, and be more than 50000 kilowatt hours, then it is judged as that gathering electricity mutation causes line loss abnormal;Otherwise, Skip to step A5;Table 1 is to use line loss abnormal user quantity pair under different Rule of judgment to specially change or the public collection electric quantity data that becomes Compare table;
Table 1
As shown in Table 1, impose a condition and be more than the electricity at full capacity of two consecutive days and more than 40,000,000 for collection day electricity During watt-hour, it is more to filter out line loss abnormal user quantity, through spot check, find wherein redundancy it is more (i.e. it is actual be line loss just Often), accuracy is low;Impose a condition and be more than the electricity at full capacity of two consecutive days for collection day electricity and be more than 60000 kilowatt hours When, it is more to filter out line loss abnormal user quantity, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), Accuracy is low;Impose a condition and be more than the electricity at full capacity of a consecutive days and when being more than 50000 kilowatt hour for collection day electricity, sieve It is more to select line loss abnormal user quantity, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy It is low;Impose a condition and be more than the electricity at full capacity of a consecutive days and when being more than 50000 kilowatt hour for collection day electricity, screening outlet It is more to damage abnormal user quantity, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy is low;If When fixed condition is more than the electricity at full capacity of two consecutive days for collection day electricity and is more than 50000 kilowatt hour, it is different to filter out line loss Normal number of users is normal, and through spot check, discovery is line loss abnormal user, and accuracy is high;
A3, low-voltage single-phase electric energy table:Low-voltage single-phase electric energy table collection electric quantity data is analyzed, if collection day electricity More than the electricity at full capacity of two consecutive days, and it is more than 2000 kilowatt hours, then is judged as that gathering electricity mutation causes line loss abnormal; Otherwise, step A5 is skipped to;Table 2 is using different judgement parameter bars when analyzing low-voltage single-phase electric energy table collection electric quantity data Line loss abnormal user quantitative comparison's table under part:
Table 2
As shown in Table 2, impose a condition and be more than the electricity at full capacity of two consecutive days and more than 1,000,000 for collection day electricity During watt-hour, it is more to filter out line loss abnormal user quantity, through spot check, find wherein redundancy it is more (i.e. it is actual be line loss just Often), accuracy is low;Impose a condition and be more than the electricity at full capacity of two consecutive days for collection day electricity and be more than 3000 kilowatt hours When, it is more to filter out line loss abnormal user quantity, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), Accuracy is low;Impose a condition and be more than the electricity at full capacity of a consecutive days and when being more than 2000 kilowatt hour for collection day electricity, sieve It is more to select line loss abnormal user quantity, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy It is low;Impose a condition and be more than the electricity at full capacity of three consecutive days and when being more than 2000 kilowatt hour for collection day electricity, screening outlet It is more to damage abnormal user quantity, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy is low;If When fixed condition is more than the electricity at full capacity of two consecutive days for collection day electricity and is more than 2000 kilowatt hour, line loss exception is filtered out Number of users is normal, and through spot check, discovery is line loss abnormal user, and accuracy is high;
A4, low voltage three-phase electric energy meter:Low voltage three-phase electric energy meter collection electric quantity data is analyzed, if collection day electricity More than the electricity at full capacity of two consecutive days, and it is more than 10000 kilowatt hours, then is judged as that gathering electricity mutation causes line loss different Often;Otherwise, step A5 is skipped to;Table 3 is using different judgement parameter bars when electricity data analysis is gathered to low voltage three-phase electric energy meter Line loss abnormal user quantitative comparison's table under part:
Table 3
As shown in Table 3, impose a condition and be more than the electricity at full capacity of two consecutive days and more than 9,000,000 for collection day electricity During watt-hour, it is more to filter out line loss abnormal user quantity, through spot check, find wherein redundancy it is more (i.e. it is actual be line loss just Often), accuracy is low;Impose a condition and be more than the electricity at full capacity of two consecutive days for collection day electricity and be more than 11000 kilowatt hours When, it is more to filter out line loss abnormal user quantity, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), Accuracy is low;Impose a condition and be more than the electricity at full capacity of a consecutive days and when being more than 10000 kilowatt hour for collection day electricity, sieve It is more to select line loss abnormal user quantity, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy It is low;Impose a condition and be more than the electricity at full capacity of three consecutive days and when being more than 10000 kilowatt hour for collection day electricity, screening outlet It is more to damage abnormal user quantity, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy is low;If When fixed condition is more than the electricity at full capacity of two consecutive days for collection day electricity and is more than 10000 kilowatt hour, it is different to filter out line loss Normal number of users is normal, and through spot check, discovery is line loss abnormal user, and accuracy is high.
A5, line loss are without exception, and operation terminates.
(2) operated by the abnormal judgement of low-load parameter decision line loss, the operation is:Electricity is gathered to specially change or public become Data are analyzed, if collection moon electricity is less than the electricity at full capacity of three consecutive days, while affiliated taiwan area line loss per unit does not exist In 0-9% sections or affiliated circuit line loss per unit is not in 0-5% sections, that is, is judged as that low-load causes line loss abnormal;Table 4 is Line loss exception under different Rule of judgment is used to use specially change or the public collection electricity data analysis that becomes when low-load parameter decision operates Amount amount contrast table;
Table 4
As shown in Table 4, impose a condition for collection moon electricity be less than 4 consecutive days electricity at full capacity when, filter out line loss Abnormal user quantity is more, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy is low;Setting When condition is less than the electricity at full capacity of 4 consecutive days for collection moon electricity, it is more to filter out line loss abnormal user quantity, is taken out through scene Look into, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy is low;Impose a condition and be less than 3 for collection moon electricity During the electricity at full capacity of consecutive days, it is normal to filter out line loss abnormal user quantity, and through spot check, discovery is that line loss is used extremely Family, accuracy are high.
(3) changing electricity fluctuation by capacity causes the abnormal judgement of line loss to operate, and judgement operation is:If specially become Or the public collection electric quantity data become, then carry out step 31);If the collection electric quantity data of low-voltage customer, then carry out step 32);Otherwise, step 33) is skipped to;
31), specially become or public affairs become:The collection electric quantity data specially become or public affairs become is analyzed, line side new clothes, increase-volume, subtracted Hold specially change or public circuit line loss per unit become and affiliated not in 0-5% sections, that is, be judged as that capacity change electricity fluctuation causes Line loss is abnormal;Otherwise, judge that line loss is without exception, skip to step 33);
32), user:To user gather electric quantity data analyze, taiwan area user side new clothes, increase-volume, volume reduction and it is affiliated Taiwan area line loss per unit is judged as that capacity change electricity fluctuation causes line loss abnormal not in 0-9% sections;Otherwise, line is judged Damage without exception, skip to step 33);
33) operation terminates.
(4) the abnormal judgement of line loss is caused to operate by gathering electricity and line loss per unit positive correlation fluctuation, the operation is:To special Become or public affairs become or low-voltage customer collection electric quantity data is analyzed, if the increase of collection electricity or reduction 10%, and affiliated circuit Or taiwan area line loss per unit is accordingly raised and lowered in 3%, and 40 consecutive days and occurred more than 8 times, that is, be judged as gathering electricity and Line loss per unit positive correlation fluctuation causes line loss abnormal;Table 5 is to carry out judgement operation by gathering electricity and line loss per unit positive correlation fluctuation When to specially becoming or public becoming or low-voltage customer collection electric quantity data uses line loss abnormal user quantitative comparison's table under different Rule of judgment:
Table 5
As shown in Table 5, impose a condition for collection electricity increase or reduce 20% line loss per unit be accordingly raised and lowered 3% when, It is more to filter out line loss abnormal user quantity, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accurately Spend low;Impose a condition for collection electricity increase or reduce 10% line loss per unit be accordingly raised and lowered 5% when, filter out line loss exception Number of users is more, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy is low;Impose a condition For the increase of collection electricity or when reducing 10% line loss per unit and being accordingly raised and lowered 3%, it is normal to filter out line loss abnormal user quantity, Through spot check, discovery is line loss abnormal user, and accuracy is high.
(5) the abnormal judgement of line loss is caused to operate by gathering the negatively correlated fluctuation of electricity and line loss per unit, the operating procedure is such as Under:
51), the change of exclusion dual power supply user total electricity is less than 30% data first, afterwards if what special change or public affairs became Electric quantity data is gathered, then carries out step 52);If the collection electric quantity data of low-voltage customer, then step 53) is carried out;
52), to specially becoming or the public collection electric quantity data become is analyzed, if collection electricity is decreased or increased 33%, and Affiliated circuit line loss per unit is accordingly raised and lowered 5%, while affiliated circuit line loss per unit is judged as not in 0-5% sections Collection electricity causes line loss abnormal with the negatively correlated fluctuation of line loss per unit;Skip to step 54);Table 6 is by gathering electricity and line loss per unit Negatively correlated fluctuation judges to use line loss exception under different Rule of judgment to use specially change or the public collection electricity data analysis that becomes during operation Amount amount contrast table;
Table 6
As shown in Table 6, impose a condition when 30% line loss per unit is decreased or increased for electricity being accordingly raised and lowered 5%, screening It is more to go out line loss abnormal user taiwan area quantity, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accurately Spend low;Impose a condition when 35% line loss per unit is decreased or increased for electricity being accordingly raised and lowered 5%, filter out line loss abnormal user Taiwan area quantity is more, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy is low;Impose a condition When 33% line loss per unit is decreased or increased for electricity being accordingly raised and lowered 4%, it is more to filter out line loss abnormal user taiwan area quantity, warp Spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy is low;Impose a condition and reduce for electricity or increase When big 33% line loss per unit is accordingly raised and lowered 5%, it is more to filter out line loss abnormal user taiwan area quantity, through spot check, finds Wherein redundancy is more (i.e. actual is that line loss is normal), and accuracy is low;Impose a condition and 33% line loss per unit is decreased or increased for electricity It is corresponding when being raised and lowered 5%, filter out that line loss abnormal user taiwan area quantity is normal, and through spot check, discovery is that line loss is different Conventional family taiwan area, accuracy are high;
53), the collection electric quantity data to low-voltage customer is analyzed, if collection electricity is decreased or increased 33%, and institute Category taiwan area line loss per unit is accordingly raised and lowered 5%, while affiliated taiwan area line loss per unit is judged as adopting not in 0-9% sections Collection electricity causes line loss abnormal with the negatively correlated fluctuation of line loss per unit;Skip to step 54);Table 7 is to be born by gathering electricity with line loss per unit Correlated fluctuations judge to use line loss abnormal user number under different Rule of judgment to low-voltage customer collection electricity data analysis during operation Measure contrast table;
As shown in Table 7, impose a condition when 30% line loss per unit is decreased or increased for electricity being accordingly raised and lowered 5%, screening It is more to go out line loss abnormal user quantity, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy It is low;Impose a condition when 35% line loss per unit is decreased or increased for electricity being accordingly raised and lowered 5%, filter out line loss abnormal user number Amount is more, through spot check, it is found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy is low;Impose a condition as electricity When 33% line loss per unit is decreased or increased accordingly being raised and lowered 4%, it is more to filter out line loss abnormal user quantity, through spot check, It was found that wherein redundancy is more (i.e. actual is that line loss is normal), accuracy is low;Impose a condition and 33% line is decreased or increased for electricity When loss rate is accordingly raised and lowered 6%, it is more to filter out line loss abnormal user quantity, through spot check, find wherein redundancy compared with More (i.e. actual is that line loss is normal), accuracy is low;Impose a condition and 33% line loss per unit accordingly rise or drop is decreased or increased for electricity When low 5%, it is normal to filter out line loss abnormal user quantity, and through spot check, discovery is line loss abnormal user, and accuracy is high;
54), terminate.
In addition, collection electricity is also shown that specific operation process is as follows with line loss per unit wave patternization in the inventive method:
A. specially become or public affairs become.Special change, public become are gathered into electricity and affiliated circuit line loss per unit and becoming according to time change Gesture, displaying is patterned, can intuitively check collection electric quantity curve and the corresponding relation that line loss per unit curve changes over time, thus Search special change, public change collection electricity exception, line loss exception caused by fast positioning metering device failure or stealing;
B. taiwan area.By low-voltage single-phase electric energy table, three-phase electric energy meter collection electricity and affiliated taiwan area line loss per unit and according to when Between the trend that changes, be patterned displaying, can intuitively check collection electric quantity curve and pair that line loss per unit curve changes over time It should be related to, thus search low -voltage Watt -hour meter collection electricity exception, line loss caused by fast positioning metering device failure or stealing is different Often.
Method in the present invention quickly can carry out comprehensive analysis to collection electricity, from collection electricity mutation, low-load, appearance The fluctuation of quantitative change more electricity, collection electricity and line loss per unit positive correlation fluctuation and collection electricity and five directions of the negatively correlated fluctuation of line loss per unit Seek influenceed to caused by line loss, it is specified that collection SOC values and undulating value, at full capacity SOC values, the collection electricity upper limit, Multiple qualifications such as affiliated taiwan area or the line loss per unit section of circuit and undulating value are as basis for estimation, by gathering electricity and line Loss rate wave patternization is shown, can precisely be filtered out different due to gathering electricity caused by connection box of electric energy meter mistake or artificial stealing etc. Ordinary wave is moved, and strong data supporting is provided for field check personnel, improves the operating efficiency of line loss improvement.

Claims (6)

1. judging the abnormal method of line loss based on collection electricity unusual fluctuations, this method is at the critical point of filtering collection mistake, used The energy data at family, exclude due to the exceptional sample of harvester failure, exclude to exist tear open table, change the user data of surface low journey with And by checking metering method, rated voltage electric current, the mode of connection of electric energy meter in User Profile information, exclude files on each of customers record Carried out on the basis of the problem of entering mistake, it is characterised in that:Described method judges using collection electricity mutation parameter The abnormal judgement operation of line loss, the judgement operating procedure are as follows:
A1, if specially becoming or the public collection electric quantity data become, then skip to step A2;If the collection of low-voltage single-phase electric energy table Electric quantity data, then skip to step A3;If the collection electric quantity data of low voltage three-phase electric energy meter, then skip to step A4;Otherwise, jump To step A5;
A2, specially change or public change:Specially change or the public collection electric quantity data become are analyzed, if collection day electricity is more than two certainly The electricity at full capacity of right day, and be more than 50000 kilowatt hours, then it is judged as that gathering electricity mutation causes line loss abnormal;Otherwise, skip to Step A5;
A3, low-voltage single-phase electric energy table:Low-voltage single-phase electric energy table collection electric quantity data is analyzed, if collection day electricity is more than The electricity at full capacity of two consecutive days, and be more than 2000 kilowatt hours, then it is judged as that gathering electricity mutation causes line loss abnormal;It is no Then, step A5 is skipped to;
A4, low voltage three-phase electric energy meter:Low voltage three-phase electric energy meter collection electric quantity data is analyzed, if collection day electricity is more than The electricity at full capacity of two consecutive days, and be more than 10000 kilowatt hours, then it is judged as that gathering electricity mutation causes line loss abnormal;It is no Then, step A5 is skipped to;
A5, line loss are without exception, and operation terminates.
2. according to claim 1 judge the abnormal method of line loss based on collection electricity unusual fluctuations, it is characterised in that:Institute The method stated also operates using the abnormal judgement of low-load parameter decision line loss, and the operation is:Specially change or public become are gathered Electric quantity data is analyzed, if collection moon electricity is less than the electricity at full capacity of three consecutive days, while affiliated taiwan area line loss per unit Not in 0-9% sections or affiliated circuit line loss per unit is not in 0-5% sections, that is, is judged as that low-load causes line loss abnormal.
3. according to claim 1 judge the abnormal method of line loss based on collection electricity unusual fluctuations, it is characterised in that:Institute The method stated also causes the abnormal judgement of line loss to operate using capacity change electricity fluctuation, and judgement operation is:If Specially change or the public collection electric quantity data become, then carry out step 31);If the collection electric quantity data of low-voltage customer, then walked It is rapid 32);Otherwise, step 33) is skipped to;
31), specially become or public affairs become:The collection electric quantity data specially become or public affairs become is analyzed, line side new clothes, increase-volume, volume reduction are special Become or public circuit line loss per unit become and affiliated is not in 0-5% sections, that is, be judged as that capacity change electricity fluctuation causes line loss It is abnormal;Otherwise, judge that line loss is without exception, skip to step 33);
32), user:To user electric quantity data is gathered to analyze, taiwan area user side new clothes, increase-volume, volume reduction and affiliated taiwan area Line loss per unit is judged as that capacity change electricity fluctuation causes line loss abnormal not in 0-9% sections;Otherwise, judge line loss without It is abnormal, skip to step 33);
33) operation terminates.
4. according to claim 1 judge the abnormal method of line loss based on collection electricity unusual fluctuations, it is characterised in that:Institute The method stated, which also includes collection electricity and line loss per unit positive correlation fluctuation, causes the abnormal judgement of line loss to operate, and the operation is:To special Become or public affairs become or low-voltage customer collection electric quantity data is analyzed, if the increase of collection electricity or reduction 10%, and affiliated circuit Or taiwan area line loss per unit is accordingly raised and lowered in 3%, and 40 consecutive days and occurred more than 8 times, that is, be judged as gathering electricity and Line loss per unit positive correlation fluctuation causes line loss abnormal.
5. according to claim 1 judge the abnormal method of line loss based on collection electricity unusual fluctuations, it is characterised in that:Institute The method stated, which also includes collection electricity and the negatively correlated fluctuation of line loss per unit, causes the abnormal judgement of line loss to operate, and the operating procedure is such as Under:
51) data of the dual power supply user total electricity change less than 30%, are excluded first, afterwards if specially change or the public collection become Electric quantity data, then carry out step 52);If the collection electric quantity data of low-voltage customer, then step 53) is carried out;
52), the collection electric quantity data specially become or public affairs become is analyzed, if collection electricity is decreased or increased 33%, and it is affiliated Circuit line loss per unit is accordingly raised and lowered 5%, while affiliated circuit line loss per unit is judged as gathering not in 0-5% sections Electricity causes line loss abnormal with the negatively correlated fluctuation of line loss per unit;Skip to step 54);
53), the collection electric quantity data to low-voltage customer is analyzed, if collection electricity is decreased or increased 33%, and affiliated platform Area's line loss per unit is accordingly raised and lowered 5%, while affiliated taiwan area line loss per unit is judged as collection electricity not in 0-9% sections Amount causes line loss abnormal with the negatively correlated fluctuation of line loss per unit;Skip to step 54);
54), terminate.
6. according to claim 1 judge the abnormal method of line loss based on collection electricity unusual fluctuations, it is characterised in that:Institute The method stated also operates including collection electricity and the graphical representation that line loss per unit fluctuates, and the operation will be including will specially become, public become gathers Electricity and affiliated circuit line loss per unit and it is patterned displaying according to the trend of time change;And by low-voltage single-phase electric energy Table, three-phase electric energy meter collection electricity and affiliated taiwan area line loss per unit and the trend according to time change, are patterned displaying.
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