CN108446834A - A kind of residential electricity consumption boot policy Potentials method based on fuzzy evaluation - Google Patents
A kind of residential electricity consumption boot policy Potentials method based on fuzzy evaluation Download PDFInfo
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Abstract
The residential electricity consumption boot policy Potentials method based on fuzzy evaluation that the invention discloses a kind of, includes the following steps：It determines and judges object, object will be judged and be divided into different brackets and determine different factors of evaluation；It determines each factor of evaluation membership vector, obtains the matrix of fuzzy evaluation；Fuzzy set is synthesized；The evaluation result of each class parameter is calculated.The advantage of the invention is that：It is based on to user power utilization various dimensions boot policy Potentials, and then different user power utilization business is formulated according to its potential value, this method greatly improves sale of electricity company sale of electricity ability, and targetedly different clients are proposed with different electricity consumption strategies according to different subscriber policy guiding potential values.
Description
Method field
The present invention relates to residential electricity consumption strategy Potentials technical fields, and in particular to a kind of resident based on fuzzy evaluation
Electricity consumption boot policy Potentials method.
Background method
With the all-round construction of intelligent grid, user is increasingly paid attention in sale of electricity side, and the status of user is obviously improved.Sale of electricity
Side can formulate different sale of electricity strategies after being fully understood to the electricity consumption behavior of user according to different users.This personalized sells
The interaction between people's net can be well realized in electric service.
Since the electricity consumption of user every day all has a certain difference, mainly daily electricity consumption and load curve are all
It is different, so if simple slave user power consumption, user characteristics and user credit judges that the electricity consumption boot policy of user is latent
Force value has some limitations.There is an urgent need for a kind of Fuzzy Assessment Analysis in the market provides most intuitive data for sale of electricity company
It supports.
Invention content
Present invention aim in view of the deficiencies of the prior art, provide a kind of residential electricity consumption based on fuzzy evaluation to draw
Lead tactful Potentials method, the electricity consumption based on user, three dimensions of credit grade of user power utilization characteristic and user
Exact evaluation is carried out to user power utilization boot policy room for promotion.
To achieve the above object, a kind of residential electricity consumption boot policy potentiality based on fuzzy evaluation according to the present invention point
Analysis method, includes the following steps：
Step 1：It determines and judges object, object will be judged and be divided into different brackets and determine different factors of evaluation；
Step 2：It determines each factor of evaluation membership vector, obtains the matrix of fuzzy evaluation；
Step 3：Fuzzy set is synthesized；
Step 4：The evaluation result of each class parameter is calculated.
Further, it in the step 1, is as follows：
The calculation formula of the evaluation object U and the opinion rating V of each factor is：
U={ u1,u2,L,umV={ v1,v2,L,vn}
In formula：M indicates that the evaluation index number of evaluation object U, n indicate the number of opinion rating V.
Further, further include following steps in the step 2：
Step 2.1：Single factor test is judged；
Step 2.2：It calculates and selects the degree of membership of grade to judge collection single factor test；
Step 2.3：Obtain fuzzy relation matrix；
Step 2.4：The fuzzy subset being introduced into evaluation object calculates flexible strategy allocation set, you can reflection is to each factor
Tradeoff.
As preference, in the step 2.2, the single factor test is：
ui(i=1,2, L, m)
Single factor test uiFor selecting grade vjDegree of membership be rij, i-th of factor u can be obtainediThe judgement collection of single factor test is：
rij={ ri1,ri2,L,rin}。
As preference, in the step 2.3, each described criterion is determined from evaluation index U to the one of opinion rating V
A fuzzy relationship matrix r is：
As preference, described to be introduced into fuzzy subset A in U in the step 2.4, fuzzy subset A is referred to as flexible strategy distribution
Collection, the flexible strategy allocation set are：
A={ a1,a2,L,an}
Wherein：ai＞ 0, and ∑ ai=1.
Further, in step 3, the specific method that the fuzzy set is synthesized is：
Two kinds of blurring mapping is fuzzy to obtain fuzzy evaluation collection B=A*R, then fuzzy evaluation is：
B={ b1,b2,L,bn}
Wherein：0 ＜ bj＜ 1, ∑ bj=1, if last result cannot be satisfied equation, to its normalized.
Further, in the step 4, the method for the evaluation result is：
The column vector F for first introducing parameter, then can obtain the evaluation result value B of each class parameter：
The column vector F is：
F={ f1,f2,L,fn}T
The calculation formula of the comprehensive evaluation result p is：
B*F=p.
The advantage of the invention is that：It is based on to user power utilization various dimensions boot policy Potentials, and then latent according to it
Force value formulates different user power utilization business, and this method greatly improves sale of electricity company sale of electricity ability, according to different subscriber policies
Guiding potential value targetedly proposes different clients different electricity consumption strategies.
Description of the drawings
Fig. 1 is the work flow diagram of the present invention.
Specific implementation mode
The present invention is described in further detail in the following with reference to the drawings and specific embodiments：
Such as Fig. 1, a kind of residential electricity consumption boot policy Potentials method based on fuzzy evaluation includes the following steps：
Step 1：It determines and judges object, object will be judged and be divided into different brackets and determine different factors of evaluation：
The calculation formula of the evaluation object U and the opinion rating V of each factor is：
U={ u1,u2,L,umV={ v1,v2,L,vn}
In formula：M indicates that the evaluation index number of evaluation object U, n indicate the number of opinion rating V.
Step 2：It determines each factor of evaluation membership vector, obtains the matrix of fuzzy evaluation：
Step 2.1：Single factor test is judged；
Step 2.2：It calculates and selects the degree of membership of grade to judge collection single factor test：
The single factor test is：
ui(i=1,2, L, m)
Single factor test uiFor selecting grade vjDegree of membership be rij, i-th of factor u can be obtainediThe judgement collection of single factor test is：
rij={ ri1,ri2,L,rin}。
Step 2.3：Obtain fuzzy relation matrix：
Each described criterion determines that a fuzzy relationship matrix r from evaluation index U to opinion rating V is：
Step 2.4：The fuzzy subset being introduced into evaluation object calculates flexible strategy allocation set, you can reflection is to each factor
Tradeoff：
Described to be introduced into fuzzy subset A in U, fuzzy subset A is referred to as flexible strategy allocation set, and the flexible strategy allocation set is：
A={ a1,a2,L,an}
Wherein：ai＞ 0, and ∑ ai=1.
Step 3：Fuzzy set is synthesized：
The specific method that the fuzzy set is synthesized is：
Two kinds of blurring mapping is fuzzy to obtain fuzzy evaluation collection B=A*R, then fuzzy evaluation is：
B={ b1,b2,L,bn}
Wherein：0 ＜ bj＜ 1, ∑ bj=1, if last result cannot be satisfied equation, to its normalized.
Step 4：The evaluation result of each class parameter is calculated：
The method of the evaluation result is：
The column vector F for first introducing parameter, then can obtain the evaluation result value B of each class parameter：
The column vector F is：
F={ f1,f2,L,fn}T
The calculation formula of the comprehensive evaluation result p is：
B*F=p.
Embodiment：
The present invention provides a kind of residential electricity consumption boot policy Potentials method based on fuzzy evaluation, including following step
Suddenly：
Step 1：From the use electrical characteristics of user, three dimensions of electricity consumption and user credit evaluate user power utilization boot policy
Adjustment space.Its specific evaluation index is as shown in table 1.
1 user power utilization boot policy room for promotion evaluation index of table
Evaluation indice U is expressed as：
U={ user power utilization characteristic, electricity consumption, credit grade }
It is given a mark to the weight of each factor by 10 professional persons, if total score is 10 points, then to the marking of these three dimensions
Situation is as shown in table 2.
The marking situation of 2 three dimensions of table
After it is normalized, the weighted value of three factors is respectively { 0.36,0.28,0.42 } A=.
Step 2：In first kind working clan, the average electricity consumption number of days that 68 users meet peak electricity consumption is 205 days, secondary to meet peak electricity consumption
Average time is 30 days, and a small amount of peak electricity consumption average time of meeting is 105 days, remaining 25 days are atypical electricity consumption type, then
It can obtain R1：
R1={ 0.56,0.08,0.29,0.07 }.
In first kind working clan user, its 12 months electricity consumption in 68 users is counted, show that each user is average
Electricity consumption is that the month accounting of 200~400kWh/ months is 0.26, and each user is averaged the moon that electricity consumption is 100~200kWh/ months
Part accounting is 0.74.Thus R is obtained2：
R2={ 0,0.24,0.76,0 }.
As shown in Table 1, there are four the credit grades of user, the credit of default user is fine herein, then user credit etc.
Grade is R3：
R3={ 1,0,0,0 }.
Thus show that the fuzzy matrix of first kind user is
Step 3：Then basisOperator can be calculated：
Step 4, a comprehensive analysis conclusion is done to B vectors, the opinion rating of each index is：
{ very well, good, generally, poor },
The amplitude of each grade is：
F=(4,3,2,1)T
Then the average aggregate of first kind user is scored at：
P=BF=3.435.
The electricity consumption boot policy room for promotion value of the second class user, third class user and the 4th class user can be similarly obtained,
The results are shown in Table 3 for it.
3 four class user power utilization boot policy room for promotion value of table
It can be obtained by table 3, the electricity consumption boot policy lifting values of first kind user are maximum, and there is larger electricity consumption guiding to carry
Between lift-off, the second class user and third class user are business resident respectively in the elderly, equally also there is larger room for promotion, but
The electricity consumption room for promotion value bigger of business resident is a bit.4th class user belongs to vacant room, and room for promotion can almost be ignored not
Meter.
Finally it is pointed out that above example is only the more representational example of the present invention.It is clear that the invention is not restricted to
Above-described embodiment, acceptable there are many deformations.All methods according to the present invention are substantially made to the above embodiment any simple
Modification, equivalent variations and modification, are considered as belonging to the scope of protection of the present invention.
Claims (8)
1. a kind of residential electricity consumption boot policy Potentials method based on fuzzy evaluation, it is characterised in that：Include the following steps：
Step 1：It determines and judges object, object will be judged and be divided into different brackets and determine different factors of evaluation；
Step 2：It determines each factor of evaluation membership vector, obtains the matrix of fuzzy evaluation；
Step 3：Fuzzy set is synthesized；
Step 4：The evaluation result of each class parameter is calculated.
2. a kind of residential electricity consumption boot policy Potentials method based on fuzzy evaluation according to claim 1, special
Sign is：In the step 1, it is as follows：
The calculation formula of the evaluation object U and the opinion rating V of each factor is：
U={ u1,u2,L,umV={ v1,v2,L,vn}
In formula：M indicates that the evaluation index number of evaluation object U, n indicate the number of opinion rating V.
3. a kind of residential electricity consumption boot policy Potentials method based on fuzzy evaluation according to claim 1, special
Sign is：Further include following steps in the step 2：
Step 2.1：Single factor test is judged；
Step 2.2：It calculates and selects the degree of membership of grade to judge collection single factor test；
Step 2.3：Obtain fuzzy relation matrix；
Step 2.4：The fuzzy subset being introduced into evaluation object calculates flexible strategy allocation set, you can tradeoff of the reflection to each factor.
4. a kind of residential electricity consumption boot policy Potentials method based on fuzzy evaluation according to claim 3, special
Sign is：In the step 2.2, the single factor test is：
ui(i=1,2, L, m)
Single factor test uiFor selecting grade vjDegree of membership be rij, i-th of factor u can be obtainediThe judgement collection of single factor test is：
rij={ ri1,ri2,L,rin}。
5. a kind of residential electricity consumption boot policy Potentials method based on fuzzy evaluation according to claim 3, special
Sign is：In the step 2.3, each described criterion determines a fuzzy relation square from evaluation index U to opinion rating V
Battle array R be：
6. a kind of residential electricity consumption boot policy Potentials method based on fuzzy evaluation according to claim 3, special
Sign is：Described to be introduced into fuzzy subset A in U in the step 2.4, fuzzy subset A is referred to as flexible strategy allocation set, the flexible strategy point
It is with collection：
A={ a1,a2,L,an}
Wherein：ai＞ 0, and ∑ ai=1.
7. a kind of residential electricity consumption boot policy potentiality based on fuzzy evaluation according to any one of claims 1 to 3
Analysis method, it is characterised in that：In step 3, the specific method that the fuzzy set is synthesized is：
Two kinds of blurring mapping is fuzzy to obtain fuzzy evaluation collection B=A*R, then fuzzy evaluation is：
B={ b1,b2,L,bn}
Wherein：0 ＜ bj＜ 1, ∑ bj=1, if last result cannot be satisfied equation, to its normalized.
8. a kind of residential electricity consumption boot policy Potentials method based on fuzzy evaluation according to claim 7, special
Sign is：In the step 4, the method for the evaluation result is：
The column vector F for first introducing parameter, then can obtain the evaluation result value B of each class parameter：
The column vector F is：
F={ f1,f2,L,fn}T
The calculation formula of the comprehensive evaluation result p is：
B*F=p.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110008981A (en) * | 2019-01-11 | 2019-07-12 | 国网浙江省电力有限公司 | The electricity-water-gas use for obscuring matrix model based on vector can substitute bootable evaluation method |
| CN110189020A (en) * | 2019-05-30 | 2019-08-30 | 重庆跃途科技有限公司 | A kind of colleges and universities' Intelligent campus construction level evaluation method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102400902A (en) * | 2010-09-15 | 2012-04-04 | 中国石油天然气股份有限公司 | Method for evaluating reliability of performance state of reciprocating compressor |
| CN103955868A (en) * | 2014-04-28 | 2014-07-30 | 国家电网公司 | Demand response effect evaluation method based on fuzzy comprehensive analysis |
| CN105243609A (en) * | 2015-11-04 | 2016-01-13 | 中国南方电网有限责任公司电网技术研究中心 | User ordered power utilization decision method based on fuzzy hierarchical analysis |
| CN106372775A (en) * | 2016-08-19 | 2017-02-01 | 国网冀北电力有限公司电力科学研究院 | Assessment method and system of comprehensive value of power grid client |
-
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- 2018-03-02 CN CN201810175852.2A patent/CN108446834A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102400902A (en) * | 2010-09-15 | 2012-04-04 | 中国石油天然气股份有限公司 | Method for evaluating reliability of performance state of reciprocating compressor |
| CN103955868A (en) * | 2014-04-28 | 2014-07-30 | 国家电网公司 | Demand response effect evaluation method based on fuzzy comprehensive analysis |
| CN105243609A (en) * | 2015-11-04 | 2016-01-13 | 中国南方电网有限责任公司电网技术研究中心 | User ordered power utilization decision method based on fuzzy hierarchical analysis |
| CN106372775A (en) * | 2016-08-19 | 2017-02-01 | 国网冀北电力有限公司电力科学研究院 | Assessment method and system of comprehensive value of power grid client |
Non-Patent Citations (1)
| Title |
|---|
| 董如: "供电企业CRM中的客户价值评估模型研究", 《中国优秀硕士学位论文全文数据库·经济与管理科学辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110008981A (en) * | 2019-01-11 | 2019-07-12 | 国网浙江省电力有限公司 | The electricity-water-gas use for obscuring matrix model based on vector can substitute bootable evaluation method |
| CN110008981B (en) * | 2019-01-11 | 2023-08-08 | 国网浙江省电力有限公司 | Electric-water gas energy-consumption alternative guidable evaluation method based on vector fuzzy matrix model |
| CN110189020A (en) * | 2019-05-30 | 2019-08-30 | 重庆跃途科技有限公司 | A kind of colleges and universities' Intelligent campus construction level evaluation method |
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