CN109783541B - Method for troubleshooting and applying resident meter-matching electricity price industrial and commercial power users - Google Patents

Method for troubleshooting and applying resident meter-matching electricity price industrial and commercial power users Download PDF

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CN109783541B
CN109783541B CN201910026295.2A CN201910026295A CN109783541B CN 109783541 B CN109783541 B CN 109783541B CN 201910026295 A CN201910026295 A CN 201910026295A CN 109783541 B CN109783541 B CN 109783541B
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electricity
resident
electricity price
users
consumption
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CN109783541A (en
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王立斌
安世华
张晶
袁翰青
王生伟
梅晓辉
高冰
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State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
Hengshui 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
Hengshui Power Supply Co of State Grid Hebei Electric Power Co Ltd
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    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The invention discloses a method for checking industrial and commercial power users applying resident combined meter electricity price, which belongs to the technical field of electric power big data application, and accurately identifies the industrial and commercial power users applying resident combined meter electricity price based on the difference of the electricity utilization rules of the power users executing resident combined meter electricity price and the industrial and commercial power users, so that a power supply company avoids economic loss and maintains the order of an electric power market; the invention only analyzes the data in the electricity utilization information acquisition system without additional equipment investment; the whole analysis process does not need manual intervention, so that a large amount of human resources are saved, and meanwhile, the accuracy of a troubleshooting result is improved; the electricity utilization rules of the power users and the industrial and commercial users for executing the resident meter closing electricity price are fully utilized, and the established algorithm is simple and practical.

Description

Method for troubleshooting and applying resident meter-matching electricity price industrial and commercial power users
Technical Field
The invention relates to a method for troubleshooting and applying resident combined meter electricity price industrial and commercial power users, and belongs to the technical field of power big data application.
Background
The resident electricity price on the meter is different from the stepped electricity price, and when the electricity consumption amount of the electricity consumer who performs the resident electricity price on the meter is large, the execution electricity price is still low. In order to earn benefits, some industrial and commercial power users can apply electricity prices of residents according to the users, so that economic losses are caused to power supply companies, and the order of the power market is disturbed. Because the number of power consumers is huge and the concealment of the behavior is high, the requirement of actual work is difficult to meet by using the traditional manual checking mode.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for accurately and efficiently checking industrial and commercial power users applying resident combined meter electricity price, and the industrial and commercial power users applying resident combined meter electricity price can be accurately identified. The technical scheme of the invention comprises the following steps:
step 1, selecting a statistical range;
step 2, calculating the monthly average power consumption of the ordinary resident power users within the statistical range;
step 3, screening out all the electric power users executing the resident electricity price combination within the statistical range according to the electric power user files;
step 4, selecting the power users of the executed resident electricity price on account of one user from the screening results in the step 3, and calculating the monthly average power consumption of the power users of the executed resident electricity price on account
Figure BDA0001942609440000011
And judging whether it satisfies the following formula (1):
Figure BDA0001942609440000012
wherein the content of the first and second substances,
Figure BDA0001942609440000013
monthly average electricity consumption of electricity price power consumers for the executive residentsAn amount;
Figure BDA0001942609440000014
monthly average power consumption of ordinary resident power consumers;
calculating the monthly average power consumption of the electricity consumers performing the resident meter closing in the step 4 by using the following method
Figure BDA0001942609440000015
Figure BDA0001942609440000016
Wherein E isiAnd closing the electricity price for the executing resident to meter the electricity consumption of the electricity consumer in the ith month in one year.
Calculating the monthly average power consumption of the ordinary resident power consumers in the step 4 by using the following method
Figure BDA0001942609440000021
Figure BDA0001942609440000022
Wherein E isjiThe power consumption of the jth ordinary resident power consumer in the statistical range in the ith month in one year is calculated, and N is the total number of the ordinary resident power consumers in the statistical range.
If yes, entering step 5; if not, entering step 8;
step 5, calculating the monthly average power consumption of the resident electricity price closing electric power user in the heating load peak period and the monthly average power consumption of the air conditioner load peak period, and calculating the monthly power consumption set E of the resident electricity price closing electric power user in the resident electricity valley periodLChecking whether E is presentl∈ELSo that the following formula (4) holds:
Figure BDA0001942609440000023
wherein the content of the first and second substances,
Figure BDA0001942609440000024
closing the monthly average power consumption of the electricity price power users at the peak period of the heating load for the executing residents;
Figure BDA0001942609440000025
closing the monthly average power consumption of the electricity price power consumer during the peak period of the air conditioner load for the executing residents;
Elthe electricity consumption of the electricity user who closes the meter for the executed residents in a certain month of the electricity consumption valley period of the residents; if yes, entering step 6; if not, entering step 8;
calculating the monthly average power consumption of the resident electricity price closing electric power user in the step 5 in the peak period of the heating load by using the following method
Figure BDA0001942609440000026
Figure BDA0001942609440000027
Wherein E iswiClosing the electricity rate of the electricity consumers in the ith heating load peak period month for the executing residents, nwThe number of months during peak heating load.
Calculating the monthly average power consumption of the resident electricity price closing power consumer in the step 5 in the peak period of the air conditioner load by using the following method
Figure BDA0001942609440000028
Figure BDA0001942609440000029
Wherein E issiThe electricity consumption of the electricity consumer in the ith air-conditioning load peak period month, nsThe number of months during peak air conditioning load.
Step 6, checking the user name of the user who executes the resident to close the electricity price, checking whether the user name includes characters of school, corridor lighting, water well and electric heating, and entering step 8 if the user name includes characters of school, corridor lighting, water well and electric heating; if not, go to step 7;
step 7, judging that the executed resident electricity price combination power consumer is an industrial and commercial electricity consumer suspected of applying the resident electricity price combination, and executing step 9;
step 8, judging that the executed resident electricity price electricity consumer is a normal resident electricity price electricity consumer, and executing step 9;
step 9, judging whether the investigation of all the residents who execute the electricity price power users of the meter combination in the screening result of the step 3 is finished or not; if yes, ending the flow; if not, returning to continue to execute the step 4.
The invention has the following beneficial effects:
the invention provides a method for checking industrial and commercial power users applying resident combined electricity price based on the difference of electricity utilization rules of the power users executing the resident combined electricity price and the industrial and commercial power users.
The invention only analyzes the data in the electricity utilization information acquisition system without additional equipment investment.
The whole analysis process of the invention does not need manual intervention, saves a large amount of human resources, and simultaneously improves the accuracy of the investigation result.
The invention fully utilizes the electricity utilization rules of the power users and the industrial and commercial users who execute the resident meter combination electricity price, and the established algorithm is simple and practical.
The electricity information acquisition system basically realizes full coverage and full acquisition, so the invention has strong popularization.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of the operation of the present invention.
FIG. 2 is a graph of annual power consumption of industrial and commercial power consumers suspected of using the electricity rates of residential and commercial applications in the example.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
As shown in fig. 1, the embodiment relates to a method for troubleshooting a residential meter-integrated electricity price, industrial and commercial electricity user, which comprises the following specific implementation steps:
step 1, selecting a statistical range;
step 2, calculating the monthly average power consumption of the ordinary resident power users within the statistical range;
step 3, screening out all the electric power users executing the resident electricity price combination within the statistical range according to the electric power user files;
step 4, selecting the power users of the executed resident electricity price on account of one user from the screening results in the step 3, and calculating the monthly average power consumption of the power users of the executed resident electricity price on account
Figure BDA0001942609440000041
And judging whether it satisfies the following formula (1):
Figure BDA0001942609440000042
wherein the content of the first and second substances,
Figure BDA0001942609440000043
closing monthly average electricity consumption of electricity price electricity consumers for the executing residents;
Figure BDA0001942609440000044
monthly average power consumption of ordinary resident power consumers;
calculating the monthly average power consumption of the electricity consumers performing the resident meter closing in the step 4 by using the following method
Figure BDA0001942609440000045
Figure BDA0001942609440000046
Wherein E isiAnd closing the electricity price for the executing resident to meter the electricity consumption of the electricity consumer in the ith month in one year.
Calculating the monthly average power consumption of the ordinary resident power consumers in the step 4 by using the following method
Figure BDA0001942609440000047
Figure BDA0001942609440000048
Wherein E isjiThe power consumption of the jth ordinary resident power consumer in the statistical range in the ith month in one year is calculated, and N is the total number of the ordinary resident power consumers in the statistical range.
If yes, entering step 5; if not, entering step 8;
step 5, calculating the monthly average power consumption of the resident electricity price closing electric power user in the heating load peak period and the monthly average power consumption of the air conditioner load peak period, and calculating the monthly power consumption set E of the resident electricity price closing electric power user in the resident electricity valley periodLChecking whether E is presentl∈ELSo that the following formula (4) holds:
Figure BDA0001942609440000051
wherein the content of the first and second substances,
Figure BDA0001942609440000052
closing the monthly average power consumption of the electricity price power users at the peak period of the heating load for the executing residents;
Figure BDA0001942609440000053
closing the monthly average power consumption of the electricity price power consumer during the peak period of the air conditioner load for the executing residents;
Elthe electricity consumption of the electricity user who closes the meter for the executed residents in a certain month of the electricity consumption valley period of the residents; if yes, entering step 6; if not, entering step 8;
calculating the monthly average power consumption of the resident electricity price closing electric power user in the step 5 in the heating load peak period by using the following method
Figure BDA0001942609440000054
Figure BDA0001942609440000055
Wherein E iswiClosing the electricity rate of the electricity consumers in the ith heating load peak period month for the executing residents, nwThe number of months during peak heating load.
Calculating the monthly average power consumption of the resident electricity price closing power consumer in the step 5 in the peak period of the air conditioner load by using the following method
Figure BDA0001942609440000056
Figure BDA0001942609440000057
Wherein E issiThe electricity consumption of the electricity consumer in the ith air-conditioning load peak period month, nsThe number of months during peak air conditioning load.
Step 6, checking the user name of the user who executes the resident to close the electricity price, checking whether the user name includes characters of school, corridor lighting, water well and electric heating, and entering step 8 if the user name includes characters of school, corridor lighting, water well and electric heating; if not, go to step 7;
step 7, judging that the executed resident electricity price combination power consumer is an industrial and commercial electricity consumer suspected of applying the resident electricity price combination, and executing step 9;
step 8, judging that the executed resident electricity price electricity consumer is a normal resident electricity price electricity consumer, and executing step 9;
step 9, judging whether the investigation of all the residents who execute the electricity price power users of the meter combination in the screening result of the step 3 is finished or not; if yes, ending the flow; if not, returning to continue to execute the step 4.
The basic working principle of the embodiment is as follows:
the electricity consumer who performs the resident's closing electricity prices generally has the following features:
(1) the electricity consumption is generally lower than that of industrial and commercial electricity consumers;
(2) the power consumption in the heating load peak period or the air-conditioning load peak period is obviously higher than that in the residential electricity consumption valley period;
(3) the user name comprises characters such as school, corridor lighting, well, electric heating and elevator. Based on the above features, the present embodiment employs the following determination conditions:
(1) the monthly average power consumption is 20 times larger than that of ordinary resident power consumers;
(2) the electricity consumption of residents in the low ebb period is also larger, and the electricity consumption in the heating load peak period or the air-conditioning load peak period is not obviously increased compared with the electricity consumption of residents in the low ebb period;
(3) the user name does not include characters such as school, corridor lighting, water well, electric heating and the like.
And if the conditions are simultaneously met in all the power users executing the resident electricity price combination, determining to apply the resident electricity price combination to the industrial and commercial power users.
Wherein condition (1) is characterized by formula (1):
Figure BDA0001942609440000061
in the formula (I), the compound is shown in the specification,
Figure BDA0001942609440000062
the monthly average power consumption of the electricity consumers for closing the electricity prices of the executing residents can be calculated according to the formula (2);
Figure BDA0001942609440000063
the monthly average power consumption of the ordinary resident power consumer can be calculated according to the formula (3).
Figure BDA0001942609440000064
In the formula, EiAnd closing the electricity price for the executing resident to meter the electricity consumption of the electricity consumer in the ith month in one year.
Figure BDA0001942609440000065
In the formula, EjiThe power consumption of the jth ordinary resident power consumer in the statistical range in the ith month in one year is calculated, and N is the total number of the ordinary resident power consumers in the statistical range.
In the condition (2), the low ebb period of the resident electricity consumption refers to a period of low electricity consumption of the resident in spring and autumn. Suppose ELFor the resident who should execute the monthly electricity collection of the electricity user with the meter closing price in the low valley period of the resident electricity consumption, if E existsl∈ELIf the formula (4) is satisfied, it means that the electricity consumption is large in the low-valley period of the residential electricity consumption and the heating load is high or the air conditioning load is highThe electricity consumption in the peak period is not obviously increased compared with the electricity consumption in the low valley period of the residential use.
Figure BDA0001942609440000071
In the formula (I), the compound is shown in the specification,
Figure BDA0001942609440000072
the monthly average power consumption of the electricity consumers with the electricity prices for the executed residents in the heating load peak period can be calculated according to the formula (5);
Figure BDA0001942609440000073
the monthly average power consumption of the electricity consumers in the peak period of the air conditioner load for the executed residents to close the meter can be calculated according to the formula (6).
Figure BDA0001942609440000074
In the formula, EwiClosing the electricity rate of the electricity consumers in the ith heating load peak period month for the executing residents, nwThe number of months during peak heating load.
Figure BDA0001942609440000075
In the formula, EsiThe electricity consumption of the electricity consumer in the ith air-conditioning load peak period month, nsThe number of months during peak air conditioning load.
According to the method of the embodiment, the electricity consumption of 2017 by all the electricity users who execute the resident electricity price on the electricity supply company in a certain county in Hebei is analyzed. The heating load peak period is counted according to 1 month, 2 months and 12 months, the air conditioning load peak period is counted according to 7 months and 8 months, and the residential electricity consumption valley period is counted according to 4 months, 5 months, 9 months and 10 months.
Through calculation and analysis, 3 suspected industrial and commercial power users applying resident combined meter electricity prices are searched, and the monthly average electricity consumption is shown in table 1:
TABLE 1 monthly average power consumption of industrial and commercial power consumers suspected of using resident combined electric price
User name Monthly electricity consumption (kWh)
Flying toy 5423.97
Xue' yang 4368.21
Flare light 7954.46
Monthly average power consumption of ordinary residential users 174.51
The annual power consumption curve of the 3 households is shown in fig. 2.
As can be seen from fig. 2, the electricity consumption of the 3 households in the low-ebb period of the residential electricity is also large, and the increase of the electricity consumption is not obvious in the peak period of the heating load or the peak period of the air-conditioning load.
And 3, all the users are industrial and commercial power users applying the resident combined electricity price through field verification.
The technical scheme of the invention is described in detail in the above with reference to the accompanying drawings, and the steps in the invention can be sequentially adjusted, combined and deleted according to actual requirements.
Although the present invention has been disclosed in detail with reference to the accompanying drawings, it is to be understood that such description is merely illustrative of and not restrictive on the application of the present invention. The scope of the invention is defined by the appended claims and may include various modifications, adaptations and equivalents of the invention without departing from its scope and spirit.

Claims (5)

1. A method for checking and applying resident meter-matching electricity price industrial and commercial power users is characterized by comprising the following steps:
step 1, selecting a statistical range;
step 2, calculating the monthly average power consumption of the ordinary resident power users within the statistical range;
step 3, screening out all the electric power users executing the resident electricity price combination within the statistical range according to the electric power user files;
step 4, selecting the power users of the executed resident electricity price on account of one user from the screening results in the step 3, and calculating the monthly average power consumption of the power users of the executed resident electricity price on account
Figure FDA0002587730490000011
And judging whether it satisfies the following formula (1):
Figure FDA0002587730490000012
wherein the content of the first and second substances,
Figure FDA0002587730490000013
closing monthly average electricity consumption of electricity price electricity consumers for the executing residents;
Figure FDA0002587730490000014
monthly average power consumption of ordinary resident power consumers;
if yes, entering step 5; if not, entering step 8;
step 5, calculating the monthly average power consumption of the electricity consumer performing the resident meter combination in the heating load peak period and the monthly average power consumption of the air conditioner load peak period, and calculating the resident performing electricity consumptionMonthly electricity consumption set E of electricity consumers with electricity prices in the low-ebb period of resident electricity consumptionLChecking whether or not there is
Figure FDA0002587730490000018
So that the following equation (4) holds:
Figure FDA0002587730490000015
wherein the content of the first and second substances,
Figure FDA0002587730490000016
closing the monthly average power consumption of the electricity price power users at the peak period of the heating load for the executing residents;
Figure FDA0002587730490000017
closing the monthly average power consumption of the electricity price power consumer during the peak period of the air conditioner load for the executing residents;
Figure FDA0002587730490000019
the electricity consumption of the electricity user who closes the meter for the executed residents in a certain month of the electricity consumption valley period of the residents;
if yes, entering step 6; if not, entering step 8;
step 6, checking the user name of the user who executes the resident to close the electricity price, checking whether the user name includes characters of school, corridor lighting, water well and electric heating, and entering step 8 if the user name includes characters of school, corridor lighting, water well and electric heating; if not, go to step 7;
step 7, judging that the executed resident electricity price combination power consumer is an industrial and commercial electricity consumer suspected of applying the resident electricity price combination, and executing step 9;
step 8, judging that the executed resident electricity price electricity consumer is a normal resident electricity price electricity consumer, and executing step 9;
step 9, judging whether the investigation of all the residents who execute the electricity price power users of the meter combination in the screening result of the step 3 is finished or not; if yes, ending the flow; if not, returning to continue to execute the step 4.
2. The method for troubleshooting the resident electricity price on the industrial and commercial power users according to claim 1, wherein the monthly average power consumption of the resident electricity price on the business is calculated in the step 4 by using the following method
Figure FDA0002587730490000021
Figure FDA0002587730490000022
Wherein E isiAnd closing the electricity price for the executing resident to meter the electricity consumption of the electricity consumer in the ith month in one year.
3. The method for troubleshooting the residential electricity price on-board electricity business electric power users as claimed in claim 1, wherein the monthly average power consumption of the ordinary residential electricity users in the step 4 is calculated by using the following method
Figure FDA0002587730490000023
Figure FDA0002587730490000024
Wherein E isjiThe power consumption of the jth ordinary resident power consumer in the statistical range in the ith month in one year is calculated, and N is the total number of the ordinary resident power consumers in the statistical range.
4. The method for troubleshooting the resident electricity price on the industrial and commercial power users according to claim 1, wherein the monthly average power consumption of the resident electricity price on the power users performing the resident electricity price on the table in the step 5 is calculated by the following method
Figure FDA0002587730490000025
Figure FDA0002587730490000026
Wherein E iswiClosing the electricity rate of the electricity consumers in the ith heating load peak period month for the executing residents, nwThe number of months during peak heating load.
5. The method for troubleshooting the resident electricity price on the industrial and commercial power users according to claim 1, wherein the monthly average power consumption of the resident electricity price on the industrial and commercial power users in the step 5 is calculated by the following method
Figure FDA0002587730490000027
Figure FDA0002587730490000028
Wherein E issiThe electricity consumption of the electricity consumer in the ith air-conditioning load peak period month, nsThe number of months during peak air conditioning load.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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CN103293354A (en) * 2013-05-31 2013-09-11 国家电网公司 Electricity larceny prevention system
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