CN104459475A - Method for managing power utilization user behaviors based on power grid on-line monitoring information - Google Patents
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract
The invention relates to the field of power grid monitoring management. Based on power grid on-line monitoring information, a method for managing power utilization user behaviors can be popularized in the power grid supervision automation field. According to the management method, power utilization information data are processed with a specific analysis method, on-line judgment management is accordingly carried out on the user behaviors, and users with the power stealing behaviors are screened. The method includes the following four parts including meter voltage loss transaction monitoring, meter cutoff transaction monitoring, daily capacity exceeding transaction monitoring and zero-degree user current transaction monitoring. By means of the method, the above four parts are integrated organically, so that the judgment accuracy of the power stealing phenomena is accordingly improved, and the human cost input is reduced.
Description
Technical field
The invention belongs to power network monitoring management domain, based on intelligent grid on-line monitoring information, automatic field can be supervised at electrical network and be popularized.
Background technology
Along with social development constantly progress, have more people utilizing resource, electric energy, as special secondary energy, is more and more applied in the life of the people with in the production of enterprise.Electric energy, as the very large a kind of commodity of value, is also considered as stealing object by a lot of stealing molecules.Current this situation still can not get improving, and stealing molecule is also more and more unbridled.This not only causes serious economic loss to power supply enterprise, also causes harmful effect to society simultaneously.Result shows after deliberation: controlled links such as client's Business Process System, power utility check and daily operation managements, serious investigation promise breaking electricity consumption and electricity filching behavior, be safeguard normally for electricity consumption order, improve the necessary means of management in power supply enterprise benefit, economic benefit and social benefit.
For effectively reducing loss and the prevention user electricity filching behavior of Utilities Electric Co.'s basic charge as per installed capacity, carrying out the online management of user behavior based on power information automated collection systems, the electricity filching behavior of stealing that may exist being processed in time, reduces the loss.
Summary of the invention
The object of the invention is to the above-mentioned deficiency overcoming prior art, provide a kind of and process power information data by specific analytical approach, thus management is judged online to user behavior, filter out the management method existing and steal electricity filching behavior user.The present invention adopts following technical scheme:
A kind ofly based on powernet monitoring information, four parts are specifically comprised to the method that electricity consumption user behavior manages: table meter decompression unusual fluctuation monitoring, table meter cutout unusual fluctuation monitoring, day be super holds unusual fluctuation monitoring, the monitoring of zero degree family current anomaly; Wherein, table meter decompression unusual fluctuation monitoring is the three-phase voltage data that application power information acquisition system special secondary school becomes user's one-level table, the unusual fluctuation of monitoring three-phase voltage, consider phase three-wire three or the different mode of connection of three-phase and four-line, get rid of the situations such as unsuccessful, the equipment power failure of checking meter, screening and filtering goes out the unusual fluctuation of table meter decompression; Table meter cutout unusual fluctuation monitoring is the three-phase current data that application power information acquisition system special secondary school becomes user's one-level table, calculate the deviation of three-phase current, consider phase three-wire three or the different mode of connection of three-phase and four-line, get rid of unsuccessful, equipment power-off condition of checking meter, screening and filtering goes out to stop unusual fluctuation; Day super hold on-line monitoring be application power information gather special secondary school become user's one-level table daily power consumption, day low ebb electricity and day maximum demand, calculates super capacity rate, consider that super appearances of maximum demand waits unusual fluctuation judgement business rule, screening and filtering goes out to surpass appearance unusual fluctuation day; The current anomaly monitoring of zero degree family is electricity and the three-phase current data that application power information acquisition system special secondary school becomes user's one-level table, day electricity is judged to abnormal zero degree family for zero at the beginning of the non-vanishing user of current value, get rid of situation such as metering acquisition abnormity, stoichiometric point type etc., screening and filtering goes out the electric current unusual fluctuation of zero degree family.
A kind of described method electricity consumption user behavior managed based on powernet monitoring information, described table meter decompression unusual fluctuation monitoring comprises following several step:
Step 1: carry out screening and getting rid of unusual fluctuation according to the mode of connection; When user adopts the phase three-wire three mode of connection, B phase voltage should be zero, A, C phase not should be zero, should be 100V; When user adopts three-phase and four-line wiring, three-phase all should have voltage, and should be 220V or 57.7V; According to this rule, to the exception item that using electricity system filters out, carry out examination in conjunction with power information acquisition system voltage curve;
Step 2: in conjunction with current curve, locking has the no-voltage abnormal problem of electric current; For the table meter decompression abnormal problem shown in system, in conjunction with electricity consumption Information Monitoring system power curve, check the current conditions of this user's decompression phase, no-voltage is had to the situation of electric current, lock real decompression abnormal;
Step 3: the relevant information utilizing sales service acquisition system to obtain user is screened, in conjunction with the flag information that has a power failure in client comprehensive information, the decompression situation that eliminating plan, fault outage cause, locks this unusual fluctuation user for table meter decompression problem user.
A kind of described method electricity consumption user behavior managed based on powernet monitoring information, described table meter cutout unusual fluctuation monitoring comprises following several step:
Step 1: judge that whether time point electric current is abnormal according to the mode of connection, when the stoichiometric point mode of connection is phase three-wire three, during the following condition of a certain time point data fit, be judged as this time point current anomaly: a phase current in A, C two-phase, must be had to be greater than X, just alarm when the small or electric current of other phase current is less than Y; When the stoichiometric point mode of connection is three-phase and four-line, during the following condition of a certain time point data fit, be judged as this time point current anomaly: a phase current in A, B, C three-phase, must be had to be greater than X, just alarm when the small or electric current of other phase current is less than Y; Wherein X, Y are threshold value, can revise; X is defaulted as 0.5A, and Y is 15mA;
Step 2: utilize power information acquisition system, the three-phase current information of being inquired about before and after this user three days by measurement point current curve is examined, and judges in conjunction with the flag information that has a power failure in client comprehensive information, and locking this unusual fluctuation user is cutout problem user.
A kind of described method electricity consumption user behavior managed based on powernet monitoring information, the super appearance unusual fluctuation monitoring of described day need be monitored following state value:
State value 1: full-time electricity surpasses capacity rate, low ebb surpasses capacity rate and maximum demand surpasses early warning value and the warning value of capacity rate; First full-time electricity load factor and low ebb electricity load factor is calculated;
Day_Prl＝(Day_UsePower/24)×100％/OC
Lst_Prl＝(Day_LstPower/8)×100％/OC
In formula, Day_Prl is full-time electricity load factor, and Day_Usepower is user power utilization amount on the same day, and OC is working capacity, and Lst_Prl is low ebb electricity load factor, and Day_Lstpower is user's valley power consumption amount on the same day; Solve load factor more further;
LF＝Day_MP×100％/OC
In formula, LF is load factor, and Day_MP is user's maximum demand value on the same day;
Judge load factor size, if certain load factor is greater than 100%, calculate its super capacity rate;
It is the part that full-time electricity load factor Day_Prl exceeds 100% that full-time electricity surpasses capacity rate Day_Prc;
It is the part that low ebb electricity load factor Lst_Prl exceeds 100% that low ebb surpasses capacity rate Lst_Prl;
It is the part that load factor LF exceeds 100% that maximum demand surpasses capacity rate Day_MPc;
Finally, specify early warning range as shown in the formula:
0＜max(Day_Prc,Lst_Prl,Day_MPc)＜10％
Alarm scope as shown in the formula:
10％＜max(Day_Prc,Lst_Prl,Day_MPc)
In formula, max represents Day_Prc, the maximal value of three super capacity rates such as Lst_Prl, Day_MPc.
State value 2: if the instantaneous super capacity rate of transformer is more than 20%, and run more than 1 hour continuously, then this observation station should be paid close attention to.
A kind of described method electricity consumption user behavior managed based on powernet monitoring information, described zero degree family current anomaly monitoring need judge electricity zero degree when performing, when table quantity calculation is 0, judge that electricity is as zero degree, wherein show quantity calculation and refer to summary table institute quantity calculation, time overstepping one's bounds, show institute's quantity calculation; When A phase, B phase or C phase current values are more than or equal to 15mA, Cutoff current value is non-zero, and wherein 15mA is default threshold, can revise; When a certain moment electricity reading or the existence of three-phase current reading are checked meter unsuccessful, judge now as erroneous judgement, this situation of system automatic rejection; Freezing electricity his-and-hers watches meter day is zero, but electric current is non-vanishing and electric current is greater than 0.5A time, system need do selective analysis process to this user.
Patent of the present invention has following beneficial effect:
This invention covers table meter decompression unusual fluctuation monitoring, shows to count four kinds of monitoring technology such as cutout unusual fluctuation monitoring, day super appearance unusual fluctuation monitoring, the current anomaly monitoring of zero degree family, and carries out organic combination to these four kinds of technology, thus improves the accuracy of judgement degree to stealing electricity phenomenon.Meanwhile, the method automaticity is higher, reduces human cost preferably and drops into, be that a kind of accuracy is high, good reliability, management method easily and effectively.
Accompanying drawing explanation
Fig. 1: method module composition frame chart electricity consumption user behavior managed based on powernet monitoring information;
Fig. 2: four monitoring modular structure flow charts in management method;
A () is table meter decompression unusual fluctuation monitoring of structures process flow diagram;
B () is table meter cutout unusual fluctuation monitoring of structures process flow diagram;
C () holds unusual fluctuation monitoring of structures process flow diagram for day is super;
D () is zero degree family current anomaly monitoring of structures process flow diagram:
Embodiment
Below in conjunction with drawings and Examples, the embodiment of patent of the present invention is described in further detail.Following examples for illustration of patent of the present invention, but are not used for limiting the scope of patent of the present invention.
What invention provided a kind ofly specifically comprises four parts based on powernet monitoring information to the method that electricity consumption user behavior manage: table meter decompression unusual fluctuation monitoring, table meter cutout unusual fluctuation monitoring, day be super holds unusual fluctuation monitoring, zero degree family current anomaly is monitored, and its component relationship as shown in Figure 1.The concrete function of modules will be elaborated below.
One, table meter decompression unusual fluctuation monitoring is the three-phase voltage data that application power information acquisition system special secondary school becomes user's one-level table, the unusual fluctuation of monitoring three-phase voltage, consider phase three-wire three or the different mode of connection of three-phase and four-line, get rid of the situations such as unsuccessful, the equipment power failure of checking meter, screening and filtering goes out the unusual fluctuation of table meter decompression.
Table meter decompression unusual fluctuation monitoring concrete structure process flow diagram is as shown in Fig. 2 (a), and it comprises following step:
Step 1: carry out screening and getting rid of unusual fluctuation according to the mode of connection; When user adopts the phase three-wire three mode of connection, B phase voltage should be zero, A, C phase not should be zero, should be 100V; When user adopts three-phase and four-line wiring, three-phase all should have voltage, and should be 220V or 57.7V, the concrete mode of connection and magnitude of voltage corresponding relation as shown in table 1; According to this rule, to the exception item that using electricity system filters out, carry out examination in conjunction with power information acquisition system voltage curve;
The corresponding normal voltage value of the different mode of connection of table 1
Step 2: in conjunction with current curve, locking has the no-voltage abnormal problem of electric current; For the table meter decompression abnormal problem shown in system, in conjunction with electricity consumption Information Monitoring system power curve, check the current conditions of this user's decompression phase, no-voltage is had to the situation of electric current, lock real decompression abnormal;
Step 3: the relevant information utilizing sales service acquisition system to obtain user is screened, in conjunction with the flag information that has a power failure in client comprehensive information, the decompression situation that eliminating plan, fault outage cause, locks this unusual fluctuation user for table meter decompression problem user.
Two, table meter cutout unusual fluctuation monitoring is the three-phase current data that application power information acquisition system special secondary school becomes user's one-level table, calculate the deviation of three-phase current, consider phase three-wire three or the different mode of connection of three-phase and four-line, get rid of unsuccessful, equipment power-off condition of checking meter, screening and filtering goes out to stop unusual fluctuation.
The structure flow chart of table meter cutout unusual fluctuation monitoring is as shown in Fig. 2 (b), and it specifically comprises following several step:
Step 1: judge that whether time point electric current is abnormal according to the mode of connection, when the stoichiometric point mode of connection is phase three-wire three, during the following condition of a certain time point data fit, be judged as this time point current anomaly: a phase current in A, C two-phase, must be had to be greater than X, just alarm when the small or electric current of other phase current is less than Y; When the stoichiometric point mode of connection is three-phase and four-line, during the following condition of a certain time point data fit, be judged as this time point current anomaly: a phase current in A, B, C three-phase, must be had to be greater than X, just alarm when the small or electric current of other phase current is less than Y; Wherein X, Y are threshold value, can revise; X is defaulted as 0.5A, and Y is 15mA; The mode of connection and current value corresponding relation as shown in table 2.
Table 2 different mode of connection normal electrical flow valuve
Step 2: utilize power information acquisition system, the three-phase current information of being inquired about before and after this user three days by measurement point current curve is examined, and judges in conjunction with the flag information that has a power failure in client comprehensive information, and locking this unusual fluctuation user is cutout problem user.
Three, surpass day hold on-line monitoring be application power information gather special secondary school become user one-level table daily power consumption, day low ebb electricity and day maximum demand, calculates super capacity rate, consider that super appearances of maximum demand waits unusual fluctuation judgement business rule, screening and filtering goes out to surpass appearance unusual fluctuation day.
The structure flow chart of day super appearance unusual fluctuation monitoring is as shown in Fig. 2 (c), and this module need be monitored following state value:
State value 1: full-time electricity surpasses capacity rate, low ebb surpasses capacity rate and maximum demand surpasses early warning value and the warning value of capacity rate; First full-time electricity load factor and low ebb electricity load factor is calculated;
Day_Prl＝(Day_UsePower/24)×100％/OC
Lst_Prl＝(Day_LstPower/8)×100％/OC
In formula, Day_Prl is full-time electricity load factor, and Day_Usepower is user power utilization amount on the same day, and OC is working capacity, and Lst_Prl is low ebb electricity load factor, and Day_Lstpower is user's valley power consumption amount on the same day; Solve load factor more further;
LF＝Day_MP×100％/OC
In formula, LF is load factor, and Day_MP is user's maximum demand value on the same day;
Judge load factor size, if certain load factor is greater than 100%, calculate its super capacity rate;
It is the part that full-time electricity load factor Day_Prl exceeds 100% that full-time electricity surpasses capacity rate Day_Prc;
It is the part that low ebb electricity load factor Lst_Prl exceeds 100% that low ebb surpasses capacity rate Lst_Prl;
It is the part that load factor LF exceeds 100% that maximum demand surpasses capacity rate Day_MPc;
Finally, specify early warning range as shown in the formula:
0＜max(Day_Prc,Lst_Prl,Day_MPc)＜10％
Alarm scope as shown in the formula:
10％＜max(Day_Prc,Lst_Prl,Day_MPc)
In formula, max represents Day_Prc, the maximal value of three super capacity rates such as Lst_Prl, Day_MPc.
State value 2: if the instantaneous super capacity rate of transformer is more than 20%, and run more than 1 hour continuously, then this observation station should be paid close attention to.
Four, current anomaly monitoring in zero degree family is electricity and the three-phase current data that application power information acquisition system special secondary school becomes user's one-level table, day electricity is judged to abnormal zero degree family for zero at the beginning of the non-vanishing user of current value, get rid of situation such as metering acquisition abnormity, stoichiometric point type etc., screening and filtering goes out the electric current unusual fluctuation of zero degree family.
The structure flow chart of zero degree family current anomaly monitoring is as shown in Fig. 2 (d).This module need judge electricity zero degree when performing, and when table quantity calculation is 0, judges that electricity is as zero degree, wherein shows quantity calculation and refer to summary table institute quantity calculation, show institute's quantity calculation time overstepping one's bounds; When A phase, B phase or C phase current values are more than or equal to 15mA, Cutoff current value is non-zero, and wherein 15mA is default threshold, can revise; When a certain moment electricity reading or the existence of three-phase current reading are checked meter unsuccessful, judge now as erroneous judgement, this situation of system automatic rejection; Freezing electricity his-and-hers watches meter day is zero, but electric current is non-vanishing and electric current is greater than 0.5A time, system need do selective analysis process to this user.
Claims (5)
1. one kind specifically comprises four parts based on powernet monitoring information to the method that electricity consumption user behavior manages: the unusual fluctuation of table meter decompression is monitored, show meter cutout unusual fluctuation monitoring, surpass appearance unusual fluctuation monitoring, the monitoring of zero degree family current anomaly day; Wherein, table meter decompression unusual fluctuation monitoring is the three-phase voltage data that application power information acquisition system special secondary school becomes user's one-level table, the unusual fluctuation of monitoring three-phase voltage, consider phase three-wire three or the different mode of connection of three-phase and four-line, get rid of the situations such as unsuccessful, the equipment power failure of checking meter, screening and filtering goes out the unusual fluctuation of table meter decompression; Table meter cutout unusual fluctuation monitoring is the three-phase current data that application power information acquisition system special secondary school becomes user's one-level table, calculate the deviation of three-phase current, consider phase three-wire three or the different mode of connection of three-phase and four-line, get rid of unsuccessful, equipment power-off condition of checking meter, screening and filtering goes out to stop unusual fluctuation; Day super hold on-line monitoring be application power information gather special secondary school become user's one-level table daily power consumption, day low ebb electricity and day maximum demand, calculates super capacity rate, consider that super appearances of maximum demand waits unusual fluctuation judgement business rule, screening and filtering goes out to surpass appearance unusual fluctuation day; The current anomaly monitoring of zero degree family is electricity and the three-phase current data that application power information acquisition system special secondary school becomes user's one-level table, day electricity is judged to abnormal zero degree family for zero at the beginning of the non-vanishing user of current value, get rid of situation such as metering acquisition abnormity, stoichiometric point type etc., screening and filtering goes out the electric current unusual fluctuation of zero degree family.
2. a kind of method managed electricity consumption user behavior based on powernet monitoring information according to claim 1, is characterized in that, described table meter decompression unusual fluctuation monitoring comprises following several step:
Step 1: carry out screening and getting rid of unusual fluctuation according to the mode of connection; When user adopts the phase three-wire three mode of connection, B phase voltage should be zero, A, C phase not should be zero, should be 100V; When user adopts three-phase and four-line wiring, three-phase all should have voltage, and should be 220V or 57.7V; According to this rule, to the exception item that using electricity system filters out, carry out examination in conjunction with power information acquisition system voltage curve;
Step 2: in conjunction with current curve, locking has the no-voltage abnormal problem of electric current; For the table meter decompression abnormal problem shown in system, in conjunction with electricity consumption Information Monitoring system power curve, check the current conditions of this user's decompression phase, no-voltage is had to the situation of electric current, lock real decompression abnormal;
Step 3: the relevant information utilizing sales service acquisition system to obtain user is screened, in conjunction with the flag information that has a power failure in client comprehensive information, the decompression situation that eliminating plan, fault outage cause, locks this unusual fluctuation user for table meter decompression problem user.
3. a kind of method managed electricity consumption user behavior based on powernet monitoring information according to claim 1, is characterized in that, described table meter cutout unusual fluctuation monitoring comprises following several step:
Step 1: judge that whether time point electric current is abnormal according to the mode of connection, when the stoichiometric point mode of connection is phase three-wire three, during the following condition of a certain time point data fit, be judged as this time point current anomaly: a phase current in A, C two-phase, must be had to be greater than X, just alarm when the small or electric current of other phase current is less than Y; When the stoichiometric point mode of connection is three-phase and four-line, during the following condition of a certain time point data fit, be judged as this time point current anomaly: a phase current in A, B, C three-phase, must be had to be greater than X, just alarm when the small or electric current of other phase current is less than Y; Wherein X, Y are threshold value, can revise; X is defaulted as 0.5A, and Y is 15mA;
Step 2: utilize power information acquisition system, the three-phase current information of being inquired about before and after this user three days by measurement point current curve is examined, and judges in conjunction with the flag information that has a power failure in client comprehensive information, and locking this unusual fluctuation user is cutout problem user.
4. a kind of method managed electricity consumption user behavior based on powernet monitoring information according to claim 1, is characterized in that, the super appearance unusual fluctuation monitoring of described day need be monitored following state value:
State value 1: full-time electricity surpasses capacity rate, low ebb surpasses capacity rate and maximum demand surpasses early warning value and the warning value of capacity rate; First full-time electricity load factor and low ebb electricity load factor is calculated;
Day_Prl＝(Day_UsePower/24)×100％/OC
Lst_Prl＝(Day_LstPower/8)×100％/OC
In formula, Day_Prl is full-time electricity load factor, and Day_Usepower is user power utilization amount on the same day, and OC is working capacity, and Lst_Prl is low ebb electricity load factor, and Day_Lstpower is user's valley power consumption amount on the same day; Solve load factor more further;
LF＝Day_MP×100％/OC
In formula, LF is load factor, and Day_MP is user's maximum demand value on the same day;
Judge load factor size, if certain load factor is greater than 100%, calculate its super capacity rate;
It is the part that full-time electricity load factor Day_Prl exceeds 100% that full-time electricity surpasses capacity rate Day_Prc;
It is the part that low ebb electricity load factor Lst_Prl exceeds 100% that low ebb surpasses capacity rate Lst_Prl;
It is the part that load factor LF exceeds 100% that maximum demand surpasses capacity rate Day_MPc;
Finally, specify early warning range as shown in the formula:
0＜max(Day_Prc,Lst_Prl,Day_MPc)＜10％
Alarm scope as shown in the formula:
10％＜max(Day_Prc,Lst_Prl,Day_MPc)
In formula, max represents Day_Prc, the maximal value of three super capacity rates such as Lst_Prl, Day_MPc.
State value 2: if the instantaneous super capacity rate of transformer is more than 20%, and run more than 1 hour continuously, then this observation station should be paid close attention to.
5. a kind of method electricity consumption user behavior managed based on powernet monitoring information according to claim 1, it is characterized in that, described zero degree family current anomaly monitoring need judge electricity zero degree when performing, when table quantity calculation is 0, judge that electricity is as zero degree, wherein show quantity calculation and refer to summary table institute quantity calculation, time overstepping one's bounds, show institute's quantity calculation; When A phase, B phase or C phase current values are more than or equal to 15mA, Cutoff current value is non-zero, and wherein 15mA is default threshold, can revise; When a certain moment electricity reading or the existence of three-phase current reading are checked meter unsuccessful, judge now as erroneous judgement, this situation of system automatic rejection; Freezing electricity his-and-hers watches meter day is zero, but electric current is non-vanishing and electric current is greater than 0.5A time, system need do selective analysis process to this user.
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| CN112288594A (en) * | 2020-10-23 | 2021-01-29 | 国网辽宁省电力有限公司信息通信分公司 | Data quality transaction processing method and system based on real-time event triggering |
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