CN104809294B - Method for building up of the user to the responsiveness model of tou power price - Google Patents
Method for building up of the user to the responsiveness model of tou power price Download PDFInfo
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- CN104809294B CN104809294B CN201510215305.9A CN201510215305A CN104809294B CN 104809294 B CN104809294 B CN 104809294B CN 201510215305 A CN201510215305 A CN 201510215305A CN 104809294 B CN104809294 B CN 104809294B
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000004043 responsiveness Effects 0.000 title claims abstract description 11
- 230000005611 electricity Effects 0.000 claims abstract description 37
- 230000004044 response Effects 0.000 claims abstract description 29
- 230000000638 stimulation Effects 0.000 claims abstract description 9
- 230000008859 change Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 4
- 230000000694 effects Effects 0.000 description 2
- 230000031016 anaphase Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000012886 linear function Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
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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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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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Abstract
A kind of method for building up the invention discloses user to the responsiveness model of tou power price,This method is used on the premise of basic security electricity consumption is met,Realized using electricity price between peak and valley for peak load shifting,Wherein electricity price between peak and valley is bigger,The enthusiasm of user's peak load shifting can more be stimulated,When electricity price between peak and valley increases to certain threshold value,Stimulation to user reaches a limiting value,That is the response of user has also reached saturation,User will not be responded with the further increase of electricity price between peak and valley,The present invention is by establishing the peak-valley electric energy of user than the functional relation with electrical price pattern,The foundation for the science that electricity price provides is formulated for grid company,Pass through the functional relation,Grid company and the business efficiency of user can effectively be protected,And can carries out the adjustment of electrical price pattern according to the actual electricity consumption situation of user,Maximization ensure that grid company and the business efficiency of user.
Description
Technical field
A kind of method for building up the present invention relates to user to the responsiveness model of tou power price, belongs to electric power network technique field.
Background technology
After the division of tou power price period is completed, grid company to peak valley price difference than be set as that its is crucial, if peak valley
Price difference ratio is too low, and user does not almost respond to or responded very little to tou power price, does not reach the purpose of tou power price setting, if
Than too low too high, the business efficiency of meeting harm users significantly, prior art is typically all set peak valley price difference by the way of experience
Peak valley price difference ratio, this method is scientific and anaphase effect is all poor, it is difficult to meet current demand.
The content of the invention
The purpose of the present invention is：A kind of the defects of for prior art, there is provided responsiveness model of user to tou power price
Method for building up, can the objective response for showing user to tou power price of science, provide foundation for Scientific Establishment peak valley price difference ratio,
With overcome the deficiencies in the prior art.
Technical scheme
For a kind of user to the method for building up of the responsiveness model of tou power price, this method, which uses, is meeting basic security electricity consumption
On the premise of, realize that wherein electricity price between peak and valley is bigger for peak load shifting using electricity price between peak and valley, more user's peak clipping can be stimulated to fill out
The enthusiasm of paddy, when electricity price between peak and valley increases to certain threshold value, the stimulation to user reaches a limiting value, the i.e. response of user
Also saturation has been reached, user will not be responded with the further increase of electricity price between peak and valley；The specific mould of the responsiveness
Type is as follows：
Wherein, k1Represent electrical price pattern；k2Represent peak-valley electric energy ratio；
Work as k1min=1, that is, when tou power price is not carried out, k2maxFor the initial peak-valley electric energy ratio of power consumer, user that is to say
The initial threshold of response；With k1Increase, into the linear zone of load responding, user starts to respond tou power price,
Transfer takes place in load, and corresponding load peak-valley electric energy compares k2Constantly reduce；As the certain threshold value k of arrival1maxWhen, user rings
Saturation should be tended to, user no longer will change with the change of electricity price, i.e., peak-valley electric energy than k2 no longer with k1 increase
And reduce, k2 has also reached corresponding saturation value k2min。
A kind of foregoing user is in the method for building up of the responsiveness model of tou power price, the parameter of customer response model
k1max、k2maxAnd k2minAcquiring method is；
First, k2maxWhat is represented is peak-valley electric energy ratio of the user when tou power price is not carried out on initial user load curve,
The initial threshold of response model is that is to say, this parameter can be according to directly being asked on the load curve of user；
2nd, k2minWhat is represented is maximum peak-valley electric energy of the user when peak load transfer can occur after implementing tou power price
Than, different user particularly industrial user because the mode of production of industry, technological process difference are often when carrying out load transfer
There will be a limiting value, when this limit value is reached, no matter electricity price stimulation is big again, and user also will no longer respond,
k2minCorresponding k1 is exactly k1max, that is to say electrical price pattern when user no longer responds to electricity price, wherein k2minWith
k1maxIt is bad directly to quantify to determine, parameter Estimation is carried out using least square method, i.e. the peak-trough electricity after tou power price is implemented in setting
Measure the minimum object function of quadratic sum of the estimate of ratio and the difference of measured value：
Wherein, k2i be ith implement tou power price after user peak-valley electric energy than estimate；K2i ' is implemented for ith
After tou power price user's peak-valley electric energy than measured value, in order that object function reaches minimum, a most young waiter in a wineshop or an inn is used to object function
Multiplication carries out seeking extreme value to carry out parameter Estimation.
By adopting the above-described technical solution, compared with prior art, the peak-valley electric energy ratio of the invention by establishing user
With the functional relation of electrical price pattern, the foundation for the science that electricity price provides is formulated for grid company, can by the functional relation
Effectively protection grid company and the business efficiency of user, and can carry out the tune of electrical price pattern according to the actual electricity consumption situation of user
Whole, maximization ensure that grid company and the business efficiency of user.
Brief description of the drawings
Accompanying drawing 1 is the effect degree model schematic of the present invention.
Embodiment
Below in conjunction with the accompanying drawings to the present invention with being described in further detail, but not as any limitation of the invention.
Embodiments of the invention：Degree should wait responsiveness model of the n user to tou power price
The mathematical modeling of one, user responses
User is to close phases such as the part throttle characteristics of the responsiveness of tou power price and user, industry characteristic, the modes of production
Closing, the power consumer of areal is also different to the load responding curve of tou power price, still, the base of different user response
This principle is consistent, i.e., is all that electricity price between peak and valley is bigger on the premise of basic security electricity consumption is met, more can stimulate user
The enthusiasm of peak load shifting.
When the electricity price between peak and valley of tou power price is smaller, the stimulation to user is also smaller, and user does not almost have to tou power price
There are response or response very little, when electricity price between peak and valley increases, the stimulation to user also increases therewith, and user is to tou power price
Response also gradually enhancing, when electricity price between peak and valley increases to certain threshold value, the stimulation to user reaches a limiting value, i.e. user
Response has also reached saturation, and user will not be responded with the further increase of electricity price between peak and valley.For simplified model,
This response process can be represented with a piecewise linear function, as shown in Figure 1.
Wherein, k1 represents electrical price pattern；K2 represents peak-valley electric energy ratio.
When k1min=1（Tou power price is not carried out）When, k2max is the initial peak-valley electric energy ratio of power consumer, that is to say use
The initial threshold of family response；With k1 increase, into the linear zone of load responding, user starts to ring tou power price
Should, transfer, corresponding load peak-valley electric energy reduction more continuous than k2 takes place in load；When reaching certain threshold value k1max, use
Family response tend to saturation, user no longer will change with the change of electricity price, i.e., peak-valley electric energy than k2 no longer with k1's
Increase and reduce, k2 has also reached corresponding saturation value k2min.
The parameter of two, customer response models is asked for
Although for all power consumers, k1min=1 all represents the phase that electrical price pattern is 1 when tou power price is not carried out
Same condition, but the response curve of different power consumers is differentiated, is reflected in linear slope over 10, the saturation region of response curve
The value of the difference of threshold value, i.e. k1max, k2max, k1min is different, and the reasonable value degree of these three parameters will directly embody use
The really degree of family response curve.
What k2max was represented is peak-valley electric energy ratio of the user when tou power price is not carried out on initial user load curve,
It is the initial threshold of response model, this parameter can be according to the load curve for being divided in user of the timesharing period set
On directly asked for.
What k2min was represented is maximum peak-valley electric energy of the user when peak load transfer can occur after implementing tou power price
Than, different user particularly industrial user because the mode of production of industry, technological process difference are often when carrying out load transfer
There will be a limiting value, when this limit value is reached, no matter electricity price stimulation is big again, and user also will no longer respond.
K1 corresponding to k2min is exactly k1max, that is to say electrical price pattern when user no longer responds to electricity price.
In three above parameter in addition to k2max directly can quantify to ask for, k2min and the bad directly quantizations of k1max determine,
Need constantly to be fitted response curve, can just be asked for after Approach by inchmeal.Least square method can be used to carry out parameter Estimation,
I.e. setting implement tou power price after peak-valley electric energy than estimate and measured value difference the minimum object function of quadratic sum：
Wherein, k2i be ith implement tou power price after user peak-valley electric energy than estimate；K2i ' is implemented for ith
After tou power price user's peak-valley electric energy than measured value.In order that object function reaches minimum, a most young waiter in a wineshop or an inn is used to object function
Multiplication carries out seeking extreme value to carry out parameter Estimation.
When implementation number is more, the sample measured value observed is also more, and the estimate of function parameter is also just closer
Actual value, the really degree of the fitting of user response curve is also higher, also can more react the true response condition of user.
Claims (1)
1. a kind of user is to the method for building up of the responsiveness model of tou power price, it is characterised in that：This method, which uses, is meeting base
On the premise of safety electricity consumption, realize that wherein electricity price between peak and valley is bigger for peak load shifting using electricity price between peak and valley, can more stimulate
The enthusiasm of user's peak load shifting, when electricity price between peak and valley increases to certain threshold value, the stimulation to user reaches a limiting value, i.e.,
The response of user has also reached saturation, and user will not be responded with the further increase of electricity price between peak and valley；The response
The concrete model of degree is as follows：
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Wherein, k1Represent electrical price pattern；k2Represent peak-valley electric energy ratio；
Work as k1min=1, that is, when tou power price is not carried out, k2maxFor user when tou power price is not carried out initial user load curve
On peak-valley electric energy ratio, that is to say the initial threshold of user response；With k1Increase, into the linear zone of load responding, use
Family starts to respond tou power price, and transfer takes place in load, and corresponding load peak-valley electric energy compares k2Constantly reduce；When to
Up to certain threshold value k1maxWhen, user response tends to saturation, and user no longer will change with the change of electricity price, i.e. peak valley
Electricity ratio k2 no longer reduces with k1 increase, and k2 has also reached corresponding saturation value k2min；
The parameter k of specific customer response model1max、k2maxAnd k2minAcquiring method is；
First, k2maxWhat is represented is peak-valley electric energy ratio of the user when tou power price is not carried out on initial user load curve, be that is to say
The initial threshold of response model, this parameter can be according to directly being asked on the load curve of user；
2nd, k2minThe maximum peak-valley electric energy ratio for being user when peak load can occur after implementing tou power price and shift represented, work
Industry user because the mode of production, the technological process difference of industry often can all have a limiting value when carrying out load transfer, when
When reaching this limiting value, no matter electricity price stimulation is big again, and user also will no longer respond, k2minCorresponding k1 is exactly k1max,
It that is to say electrical price pattern when user no longer responds to electricity price, wherein k2minAnd k1maxIt is bad directly to quantify to determine, use
Least square method carries out parameter Estimation, i.e., setting implement the peak-valley electric energy after tou power price than estimate and measured value difference
The minimum object function of quadratic sum：
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Wherein, k2i be ith implement tou power price after user peak-valley electric energy than estimate；K2i ' is that ith implements timesharing
After electricity price user's peak-valley electric energy than measured value, in order that object function reaches minimum, least square method is used to object function
Carry out seeking extreme value to carry out parameter Estimation：
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Priority Applications (1)
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| CN201510215305.9A CN104809294B (en) | 2015-04-30 | 2015-04-30 | Method for building up of the user to the responsiveness model of tou power price |
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Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107516151A (en) * | 2017-09-04 | 2017-12-26 | 云南电网有限责任公司电力科学研究院 | A kind of electric appliance optimization method and system |
| CN111242702B (en) * | 2020-02-29 | 2021-08-06 | 贵州电网有限责任公司 | Method for formulating power grid peak-valley time-of-use electricity price considering minimum system peak-valley difference |
| CN111784409B (en) * | 2020-07-13 | 2024-04-26 | 南方电网能源发展研究院有限责任公司 | Model construction method, device, equipment and medium for configuring peak clipping measures |
| CN112862535B (en) * | 2021-02-25 | 2022-10-04 | 国网河北省电力有限公司营销服务中心 | Method for determining power price responsiveness of power-dedicated transformer client and terminal equipment |
| CN113268932B (en) * | 2021-06-15 | 2022-07-19 | 贵州大学 | Landslide displacement prediction method based on Gaussian process regression and neural network |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008107984A (en) * | 2006-10-24 | 2008-05-08 | Toshiba Corp | Electricity transaction contract price inspection method and system |
| CN104156581A (en) * | 2014-08-01 | 2014-11-19 | 重庆大学 | Peak-valley time-of-use power price determining method taking both system reliability and power purchase risk into consideration |
| CN104574138A (en) * | 2014-12-15 | 2015-04-29 | 河海大学常州校区 | Double-loop power supply differential electricity pricing method and control system |
| CN104573313A (en) * | 2014-10-29 | 2015-04-29 | 广东电网有限责任公司电力调度控制中心 | Acquisition method and acquisition system of customer response model under peak-valley time-of-use price |
-
2015
- 2015-04-30 CN CN201510215305.9A patent/CN104809294B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008107984A (en) * | 2006-10-24 | 2008-05-08 | Toshiba Corp | Electricity transaction contract price inspection method and system |
| CN104156581A (en) * | 2014-08-01 | 2014-11-19 | 重庆大学 | Peak-valley time-of-use power price determining method taking both system reliability and power purchase risk into consideration |
| CN104573313A (en) * | 2014-10-29 | 2015-04-29 | 广东电网有限责任公司电力调度控制中心 | Acquisition method and acquisition system of customer response model under peak-valley time-of-use price |
| CN104574138A (en) * | 2014-12-15 | 2015-04-29 | 河海大学常州校区 | Double-loop power supply differential electricity pricing method and control system |
Non-Patent Citations (3)
| Title |
|---|
| 峰谷分时电价下的用户响应行为研究;阮文骏 等;《电网技术》;20120731;第36卷(第7期);第86-93页 * |
| 峰谷分时电价对用户满意度影响的系统动力学分析;李树杰 等;《水电能源科学》;20121031;第30卷(第10期);第166-179页 * |
| 峰谷分时电价设计的优化模型;刘严 等;《中国管理科学》;20051031;第13卷(第5期);第87-92页 * |
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