CN107180297A - A kind of decision-making technique for screening the user for participating in ordered electric - Google Patents
A kind of decision-making technique for screening the user for participating in ordered electric Download PDFInfo
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Abstract
The present invention relates to electric network information technical field, specifically a kind of decision-making technique for screening the user for participating in ordered electric, the present invention sets up evaluation index score-system according to the affiliated area of client, electricity consumption classification, power consumption hierarchical level, user credit grade, electricity consumption grade, important level, economic value, in conjunction with user power utilization equipment situation, the score value that user participates in ordered electric is calculated, ordered electric work should be more participated in if the score value that user participates in ordered electric is relatively low；A kind of screening that the present invention is provided participates in user's inventory that the decision-making technique of the user of ordered electric is provided with reference significance for decision-maker, rationally carries out ordered electric work.
Description
Technical field
The present invention relates to electric network information technical field, specifically a kind of decision-making party for screening the user for participating in ordered electric
Method.
Background technology
With the fast development of recent decades China economy, power industry also achieves considerable as crucial energy support
Development, even in current Period, although the overall state balance of China's power supply and demand, it is domestic especially some
Regional region property, seasonality, the phenomenon of period, structural short of electricity still can long-term existence, in annual summer peak meeting
（Winter）Period imbalance between power supply and demand often shows more prominent, and this just highlights the importance of ordered electric.
Ordered electric work is primarily referred to as tight slightly in power supply and demand, and supply of electric power occurs under the current conditions of breach, passes through
Administrative measure, economic means, technical method in accordance with the law control section need for electricity to ensure the management work of electric power netting safe running.Mesh
Preceding China has carried out numerous studies to ordered electric, and the key issue of ordered electric is the evaluation of implementation result, only
By carrying out comprehensive, scientifical evaluation to implementation result, the constantly improve of ordered electric could be promoted, coordinate economic health steady
Fixed development.Ordered electric management is overall to be built upon on ordered electric overall evaluation system, and it includes region electricity consumption value and integrated
Appraisement system, user keeps away peak priority overall evaluation system and user rations the power supply priority overall evaluation system is power consumption index
Decompose and the establishment of each special scheme provides decision support.For the electricity consumption situation of the user of 10kV distributions, various regions reference according to
According to be mostly first avoid the peak hour, after keep away peak, then ration the power supply, the sequence arrangement quantity of electricity platform finally operated a switch, but kept away for Electricity customers
How peak priority overall merit carries out, and most of power supply enterprises are still in the personal work experience development by employee at home
Link, and fail to consider the various influence factors of ordered electric comprehensively, do not set up science, effective quantization refers to
Mark the decision-making technique of the user of appraisement system or screening participation ordered electric.
The content of the invention
In order to solve the above problems, the invention provides a kind of decision-making technique for the user for screening and participating in ordered electric, tool
Body technique scheme is as follows：
A kind of decision-making technique for screening the user for participating in ordered electric comprises the following steps：
（1）The index of the information evaluation of user's ordered electric is determined, if index quantity is n, index is Zi（i=1,2,···,
n）；
（2）Reference weighted value of each index to user's ordered electric value assessment is determined, if being M with reference to weighted valuei（i=1,
2,···,n）；
（3）Obtain the value scope of each index；If the quantity of the value scope of index is k, value scope is Lij（i=1,
2,···,n；j=1,2,···,k）；
（4）Determine the corresponding evaluation of estimate of the value scope of each index of user's ordered electric；If the value model of each index system
Corresponding evaluation of estimate is enclosed for Pij（i=1,2,···,n；j=1,2,···,k）；
（5）Differentiate whether user is Very Important Person, and discriminant criterion is to look at the importance of user, if importance is A, A=1 is then said
The bright user is Very Important Person, is directly not involved in ordered electric work；If A=0, it is not Very Important Person to illustrate the user, then
It is transferred to step（6）Calculate the economic value of user；
（6）Calculate the economic value of user；The economic value is the electricity charge produced by the 4 hour users that have a power failure；If economic valency
It is worth for Ei（i=1,2,···,n）；
（7）The score value that user participates in ordered electric is calculated, is scored higher, illustrates that the user is more unsuitable and participates in ordered electric work
Make；User participates in ordered electric and evaluates score value=∑（With reference to weighted value × evaluation of estimate）+ economic value, if scoring value is F, then（i=1,2,···,n；j=1,2,···,k）；
Further, step（1）Middle index quantity n=5；The index is respectively affiliated area Z1, electricity consumption classification Z2, power consumption level
Grade Z3, user credit grade Z4, electricity consumption grade Z5。
Further, step（2）Described in reference weighted value M of the affiliated area to user's ordered electric value assessment1=
0.3；Reference weighted value M of the electricity consumption classification to user's ordered electric value assessment2=0.2；It is described power consumption hierarchical level to
The reference weighted value M of family ordered electric value assessment3=0.1；The user credit grade is to user's ordered electric value assessment
With reference to weighted value M4=0.2；Reference weighted value M of the electricity consumption grade to user's ordered electric value assessment5=0.2。
Further, step（3）Described in affiliated area Z1Value number of ranges be 5, respectively inner city L11, city
Area L12, villages within the city L13, combination area of city and country L14, suburb L15；The electricity consumption classification Z2Value number of ranges be 4, respectively occupy
People L21, general industry and commerce L22, big industry L23, agricultural production L24；The power consumption hierarchical level Z3Value number of ranges be 3,
Respectively low L31, middle L32, high L33；The user credit grade Z4Value number of ranges be 4, respectively good L41, in
L42, general L43, low L44；The electricity consumption grade Z5Value number of ranges be 4, respectively nearly three months power consumptions be more than etc.
In 40,000 kWh L51, nearly three months power consumptions be more than 40,000 kWh and less than or equal to 100,000 kWh L52, nearly three months power consumptions are more than
100000 kWh and less than or equal to 250,000 kWh L53, nearly three months power consumptions be less than 250,000 kWh L54。
Further, step（4）Middle affiliated area Z1Value scope in inner city L11Corresponding evaluation of estimate P11=8, city
Area L12Corresponding evaluation of estimate P12=6, villages within the city L13Corresponding evaluation of estimate P13=4, combination area of city and country L14Corresponding evaluation of estimate P14=2、
Suburb L15Corresponding evaluation of estimate P15=1；The electricity consumption classification Z2Value scope in resident L21Corresponding evaluation of estimate P21=8, one
As industry and commerce L22Corresponding evaluation of estimate P22=6, big industry L23Corresponding evaluation of estimate P23=4, agricultural production L24Corresponding evaluation of estimate
P24=2；The power consumption hierarchical level Z3Value scope in low L31Corresponding evaluation of estimate P31=6, middle L32Corresponding evaluation of estimate P32
=4, high L33Corresponding evaluation of estimate P33=2；The user credit grade Z4Value scope in good L41Corresponding evaluation of estimate P41
=6, middle L42Corresponding evaluation of estimate P42=4, general L43Corresponding evaluation of estimate P43=2, low L44Corresponding evaluation of estimate P44=1；It is described to use
Electric grade Z5Value scope in nearly three months power consumptions be more than or equal to 40,000 kWh L51Corresponding evaluation of estimate P51=6, nearly three
The moon, power consumption was more than 40,000 kWh and less than or equal to 100,000 kWh L52Corresponding evaluation of estimate P52=4, nearly three months power consumptions are more than 10
Ten thousand kWh and less than or equal to 250,000 kWh L53Corresponding evaluation of estimate P53=2, nearly three months power consumptions are less than 250,000 kWh L54It is corresponding
Evaluation of estimate P54=1.
Further, according to power information acquisition system, real-time remote monitoring system, Electric Power Marketing System, distribution generalized information system
Determine the index of ordered electric user profile evaluation, the corresponding value scope of index and differentiate whether user is Very Important Person.
The invention provides a kind of decision-making technique for the user for screening and participating in ordered electric, change most domestic and power
Enterprise carries out the present situation that screening participates in the user of ordered electric by the personal work experience of employee, and ordered electric is participated in for screening
User provide a kind of decision-making technique of quantization, accurate and visual screening participates in the user of ordered electric, further adds and uses
Family equipment situation, makes the more scientific rational development of ordered electric work of power distribution network.
Brief description of the drawings
Accompanying drawing 1 is a kind of flow chart for the decision-making technique for screening the user for participating in ordered electric of the present invention.
Embodiment
In order to be better understood from the present invention, the invention will be further described with specific embodiment below in conjunction with the accompanying drawings：
A kind of decision-making technique for screening the user for participating in ordered electric comprises the following steps：
（1）The index of the information evaluation of user's ordered electric is determined, if index quantity is n, index is Zi（i=1,2,···,
n）；Further, agriculture products quantity n=5；Index is respectively affiliated area Z1, electricity consumption classification Z2, power consumption hierarchical level Z3, user
Credit grade Z4, electricity consumption grade Z5；
（2）Reference weighted value of each index to user's ordered electric value assessment is determined, if being M with reference to weighted valuei（i=1,
2,···,n）；Preferably, to reference weighted value M of the affiliated area to user's ordered electric value assessment1=0.3；Electricity consumption class
The other reference weighted value M to user's ordered electric value assessment2=0.2；Hierarchical level consume energy to user's ordered electric value assessment
Reference weighted value M3=0.1；Reference weighted value M of the user credit grade to user's ordered electric value assessment4=0.2；Electricity consumption etc.
Reference weighted value M of the level to user's ordered electric value assessment5=0.2；
（3）Obtain the value scope of each index；If the quantity of the value scope of index is k, value scope is Lij（i=1,
2,···,n；j=1,2,···,k）；Preferably, affiliated area Z1Value number of ranges be 5, respectively central city
Area L11, city L12, villages within the city L13, combination area of city and country L14, suburb L15；The electricity consumption classification Z2Value number of ranges be 4,
Respectively resident L21, general industry and commerce L22, big industry L23, agricultural production L24；The power consumption hierarchical level Z3Value scope number
Measure as 3, respectively low L31, middle L32, high L33；The user credit grade Z4Value number of ranges be 4, it is respectively good
Good L41, middle L42, general L43, low L44；The electricity consumption grade Z5Value number of ranges be 4, respectively nearly three months power consumptions
More than or equal to 40,000 kWh L51, nearly three months power consumptions be more than 40,000 kWh and less than or equal to 100,000 kWh L52, nearly electricity consumption in three months
Amount is more than 100,000 kWh and less than or equal to 250,000 kWh L53, nearly three months power consumptions be less than 250,000 kWh L54；
（4）Determine the corresponding evaluation of estimate of the value scope of each index of user's ordered electric；If the value model of each index system
Corresponding evaluation of estimate is enclosed for Pij（i=1,2,···,n；j=1,2,···,k）；Preferably, affiliated area Z1Value model
Inner city L in enclosing11Corresponding evaluation of estimate P11=8, city L12Corresponding evaluation of estimate P12=6, villages within the city L13It is corresponding to evaluate
Value P13=4, combination area of city and country L14Corresponding evaluation of estimate P14=2, suburb L15Corresponding evaluation of estimate P15=1；The electricity consumption classification Z2's
Resident L in value scope21Corresponding evaluation of estimate P21=8, general industry and commerce L22Corresponding evaluation of estimate P22=6, big industry L23It is right
The evaluation of estimate P answered23=4, agricultural production L24Corresponding evaluation of estimate P24=2；The power consumption hierarchical level Z3Value scope in it is low
L31Corresponding evaluation of estimate P31=6, middle L32Corresponding evaluation of estimate P32=4, high L33Corresponding evaluation of estimate P33=2；Described user credit etc.
Level Z4Value scope in good L41Corresponding evaluation of estimate P41=6, middle L42Corresponding evaluation of estimate P42=4, general L43It is corresponding to comment
It is worth P43=2, low L44Corresponding evaluation of estimate P44=1；The electricity consumption grade Z5Value scope in nearly three months power consumptions be more than
Equal to 40,000 kWh L51Corresponding evaluation of estimate P51=6, nearly three months power consumptions are more than 40,000 kWh and less than or equal to 100,000 kWh L52It is right
The evaluation of estimate P answered52=4, nearly three months power consumptions are more than 100,000 kWh and less than or equal to 250,000 kWh L53Corresponding evaluation of estimate P53=
2nd, nearly three months power consumptions are less than 250,000 kWh L54Corresponding evaluation of estimate P54=1；
The index system of ordered electric user profile evaluation is to sum up then established, as shown in table 1：
（5）Differentiate whether user is Very Important Person, and discriminant criterion is to look at the importance of user, if importance is A, A=1 is then said
The bright user is Very Important Person, is directly not involved in ordered electric work；If A=0, it is not Very Important Person to illustrate the user, then
It is transferred to step（6）Calculate the economic value of user；
（6）Calculate the economic value of user；Economic value refers to that the electricity charge are lost, and the electricity consumption unit price of the client of different electricity consumption classifications is not
It is identical, and in the case of the monovalent identical of the electricity consumption of user, the load of the user of power failure is bigger, and power off time is longer, the warp of loss
Ji value is higher.The economic value is the electricity charge produced by the 4 hour users that have a power failure；Economic value=electricity consumption unit price * is born
Lotus * power off times；If economic value is Ei（i=1,2,···,n）；
（7）The score value that user participates in ordered electric is calculated, is scored higher, illustrates that the user is more unsuitable and participates in ordered electric work
Make；User participates in ordered electric and evaluates score value=∑（With reference to weighted value × evaluation of estimate）+ economic value, if scoring value is F, then（i=1,2,···,n；j=1,2,···,k）；
Preferably, determined according to power information acquisition system, real-time remote monitoring system, Electric Power Marketing System, distribution generalized information system
Whether the index of ordered electric user profile evaluation, the corresponding value scope of index and differentiation user are Very Important Person.
Embodiment 1：
The index system evaluated using above-mentioned ordered electric user profile, the user for calculating user participates in ordered electric evaluation point
Value, according to result of calculation, sorts by section, and screening participates in the user of ordered electric, by taking two users of A, B as an example, and table 2 is user
Information table：
The user message table of table 2
| User's name | Affiliated area | Electricity consumption classification | Energy consumption level grade | User credit grade | Electricity consumption grade |
| A | Suburb | Big industry | It is high | Well | 40000 ＜ nearly three months≤100,000 |
| B | Villages within the city | General industry and commerce | In | Typically | 40000≤nearly three months electricity |
According to step（7）Calculation formula：
Party A-subscriber participates in ordered electric and evaluates score value FA
=M1*P15+M2*P23+M3*P33+M4*P41+M5*P52
=0.3×1+0.2×4+0.1×2+0.2×6+0.2×4=3.3
Party B-subscriber participates in ordered electric and evaluates score value FB
=M1*P13+M2*P22+M3*P32+M4*P43+M5*P51
=0.3×4+0.2×6+0.1×4+0.2×2+0.2×6=4.4
FB=4.4 are more than FA=3.3, it follows that party A-subscriber should more participate in ordered electric work compared with party B-subscriber.From empirical analysis, A
User is in the big industry in suburb, although credit is good, and the economic value produced in the unit interval is higher, but should participate in order
Electricity consumption works.
The present invention is not limited to above-described embodiment, the foregoing is only the preferable case study on implementation of the present invention
, it is not intended to limit the invention, any modification for being made within the spirit and principles of the invention, equivalent substitution and changes
Enter, should be included in the scope of the protection.
Claims (6)
1. a kind of decision-making technique for screening the user for participating in ordered electric, it is characterised in that：Comprise the following steps：
（1）The index of the information evaluation of user's ordered electric is determined, if index quantity is n, index is Zi（i=1,2,···,
n）；
（2）Reference weighted value of each index to user's ordered electric value assessment is determined, if being M with reference to weighted valuei（i=1,
2,···,n）；
（3）Obtain the value scope of each index；If the quantity of the value scope of index is k, value scope is Lij（i=1,
2,···,n；j=1,2,···,k）；
（4）Determine the corresponding evaluation of estimate of the value scope of each index of user's ordered electric；If the value model of each index system
Corresponding evaluation of estimate is enclosed for Pij（i=1,2,···,n；j=1,2,···,k）；
（5）Differentiate whether user is Very Important Person, and discriminant criterion is to look at the importance of user, if importance is A, A=1 is then said
The bright user is Very Important Person, is directly not involved in ordered electric work；If A=0, it is not Very Important Person to illustrate the user, then
It is transferred to step（6）Calculate the economic value of user；
（6）Calculate the economic value of user；The economic value is the electricity charge produced by the 4 hour users that have a power failure；If economic valency
It is worth for Ei（i=1,2,···,n）；
（7）The score value that user participates in ordered electric is calculated, is scored higher, illustrates that the user is more unsuitable and participates in ordered electric work
Make；User participates in ordered electric and evaluates score value=∑（With reference to weighted value × evaluation of estimate）+ economic value, if scoring value is F, then（i=1,2,···,n；j=1,2,···,k）.
2. a kind of decision-making technique for screening the user for participating in ordered electric according to claim 1, it is characterised in that：Step
（1）Middle index quantity n=5；The index is respectively affiliated area Z1, electricity consumption classification Z2, power consumption hierarchical level Z3, user credit etc.
Level Z4, electricity consumption grade Z5。
3. a kind of decision-making technique for screening the user for participating in ordered electric according to claim 1 or 2, it is characterised in that：
Step（2）Described in reference weighted value M of the affiliated area to user's ordered electric value assessment1=0.3；The electricity consumption classification
To the reference weighted value M of user's ordered electric value assessment2=0.2；The power consumption hierarchical level is commented user's ordered electric value
The reference weighted value M estimated3=0.1；Reference weighted value M of the user credit grade to user's ordered electric value assessment4=0.2；
Reference weighted value M of the electricity consumption grade to user's ordered electric value assessment5=0.2。
4. a kind of decision-making technique for screening the user for participating in ordered electric according to claim 1 or 2, it is characterised in that：
Step（3）Described in affiliated area Z1Value number of ranges be 5, respectively inner city L11, city L12, villages within the city L13、
Combination area of city and country L14, suburb L15；The electricity consumption classification Z2Value number of ranges be 4, respectively resident L21, it is general industrial and commercial
Industry L22, big industry L23, agricultural production L24；The power consumption hierarchical level Z3Value number of ranges be 3, respectively low L31, in
L32, high L33；The user credit grade Z4Value number of ranges be 4, respectively good L41, middle L42, general L43, it is low
L44；The electricity consumption grade Z5Value number of ranges be 4, respectively nearly three months power consumptions be more than or equal to 40,000 kWh L51, it is near
Three months power consumptions are more than 40,000 kWh and less than or equal to 100,000 kWh L52, nearly three months power consumptions be more than 100,000 kWh and less than etc.
In 250,000 kWh L53, nearly three months power consumptions be less than 250,000 kWh L54。
5. a kind of screening according to claim 1 or 4 participates in the decision-making technique of the user of ordered electric, it is characterised in that：
Step（4）Middle affiliated area Z1Value scope in inner city L11Corresponding evaluation of estimate P11=8, city L12It is corresponding to evaluate
Value P12=6, villages within the city L13Corresponding evaluation of estimate P13=4, combination area of city and country L14Corresponding evaluation of estimate P14=2, suburb L15It is corresponding to comment
It is worth P15=1；The electricity consumption classification Z2Value scope in resident L21Corresponding evaluation of estimate P21=8, general industry and commerce L22Correspondence
Evaluation of estimate P22=6, big industry L23Corresponding evaluation of estimate P23=4, agricultural production L24Corresponding evaluation of estimate P24=2；The power consumption water
Equality level Z3Value scope in low L31Corresponding evaluation of estimate P31=6, middle L32Corresponding evaluation of estimate P32=4, high L33It is corresponding to comment
It is worth P33=2；The user credit grade Z4Value scope in good L41Corresponding evaluation of estimate P41=6, middle L42It is corresponding to comment
It is worth P42=4, general L43Corresponding evaluation of estimate P43=2, low L44Corresponding evaluation of estimate P44=1；The electricity consumption grade Z5Value model
Nearly three months power consumptions in enclosing are more than or equal to 40,000 kWh L51Corresponding evaluation of estimate P51=6, nearly three months power consumptions are more than 40,000
KWh and less than or equal to 100,000 kWh L52Corresponding evaluation of estimate P52=4, nearly three months power consumptions are more than 100,000 kWh and are less than or equal to
250000 kWh L53Corresponding evaluation of estimate P53=2, nearly three months power consumptions are less than 250,000 kWh L54Corresponding evaluation of estimate P54=1.
6. a kind of decision-making technique for screening the user for participating in ordered electric according to claim 1, it is characterised in that：According to
Power information acquisition system, real-time remote monitoring system, Electric Power Marketing System, distribution generalized information system determine that ordered electric user believes
Cease the index evaluated, the corresponding value scope of index and differentiate whether user is Very Important Person.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710271453.1A CN107180297A (en) | 2017-04-24 | 2017-04-24 | A kind of decision-making technique for screening the user for participating in ordered electric |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710271453.1A CN107180297A (en) | 2017-04-24 | 2017-04-24 | A kind of decision-making technique for screening the user for participating in ordered electric |
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|---|---|
| CN107180297A true CN107180297A (en) | 2017-09-19 |
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ID=59832787
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| CN201710271453.1A Pending CN107180297A (en) | 2017-04-24 | 2017-04-24 | A kind of decision-making technique for screening the user for participating in ordered electric |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114154661A (en) * | 2021-12-07 | 2022-03-08 | 深圳供电局有限公司 | Distribution network first-aid repair operation priority evaluation method, system, equipment and medium |
| CN115952918A (en) * | 2023-02-03 | 2023-04-11 | 国网江苏省电力有限公司营销服务中心 | Ordered power utilization scheme generation method and system for novel power load management |
-
2017
- 2017-04-24 CN CN201710271453.1A patent/CN107180297A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114154661A (en) * | 2021-12-07 | 2022-03-08 | 深圳供电局有限公司 | Distribution network first-aid repair operation priority evaluation method, system, equipment and medium |
| CN115952918A (en) * | 2023-02-03 | 2023-04-11 | 国网江苏省电力有限公司营销服务中心 | Ordered power utilization scheme generation method and system for novel power load management |
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