CN109509071A - A kind of selection method and device of user's combination - Google Patents
A kind of selection method and device of user's combination Download PDFInfo
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- 238000006116 polymerization reaction Methods 0.000 claims abstract description 50
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Abstract
This application discloses a kind of selection methods of user combination, comprising: S1, combines preference pattern as the user of target according to acquisition to total peak capacity of peak regulation, the current quotes of user and to polymerize quotient's cost minimization, determines the active user's combination for participating in peak regulation；The actual price that S2, the Offer Model for receiving each user in active user's combination are determined according to its corresponding sub- capacity of peak regulation, and calculate active user by actual price and user's combination preference pattern and combine corresponding polymerization quotient's cost；S3, judge to polymerize whether quotient's cost is less than preset cost, if, then determine that active user's group is combined into peak regulation user combination, if not, the current quotes and return step S1 of user are updated according to all actual prices, until active user combines corresponding polymerization quotient's cost and is less than preset cost, and are peak regulation user combination by the current user group cooperation, the technical issues of solving how under the premise of meeting peak capacity, choosing the active user's combination for participating in demand response.
Description
Technical field
The selection method and device combined this application involves electricity market technical field more particularly to a kind of user.
Background technique
With the continuous improvement of national life level, extensive heating-cooling equipment is widely used, so that
Demand to electric energy constantly increases, and the imbalance between supply and demand of electric power increasingly sharpens, and the peak-valley difference of network load constantly increases, much
Area even will appear electric power vacancy in peak times of power consumption, it has to power cuts to limit consumption.Therefore, have for formulating reasonable measures to regulate rush-hour traffic
There is important meaning.
Demand response is to guide user to improve power load by demand response measure, has reached the effect of peak regulation.Load
It polymerize the user of the polymerizable medium and small peak capacity of quotient, participates in peak regulation after certain peak capacity to be achieved, however in practical peak regulation
Polymerization quotient and user are that the interests of oneself consider the interests without both tradeoffs respectively, so that final choice participates in working as peak regulation
Preceding user's combination may not be optimal.
Therefore, how under the premise of meeting peak capacity, choosing and participating in active user's combination of demand response is ability
Field technique personnel technical problem urgently to be resolved.
Summary of the invention
In view of this, solving how to meet peak regulation this application provides the selection method and device of a kind of user combination
Under the premise of capacity, choose participate in demand response active user combination the technical issues of.
The application first aspect provides a kind of selection method of user's combination, comprising:
S1, according to acquisition to total peak capacity of peak regulation, the current quotes of user and to polymerize quotient's cost minimization as mesh
Target user combines preference pattern, determines that the active user's combination for participating in peak regulation, user's combination include User ID and each user couple
The sub- capacity of the peak regulation answered；
What S2, the Offer Model for receiving each user in active user's combination were determined according to its corresponding sub- capacity of peak regulation
Actual price, and the preference pattern calculating active user is combined by the actual price and the user and combines corresponding gather
Shang Chengben is closed, the Offer Model is up to target with user's self benefits；
S3, judge whether the polymerization quotient cost is less than preset cost, if so, determining that active user's group is combined into tune
Peak user combination, if it is not, the current quotes and return step S1 of user are updated according to all actual prices, until current use
Family combines corresponding polymerization quotient's cost and is less than the preset cost, and is the peak regulation user group by the current user group cooperation
It closes.
Preferably, the user combines preference pattern specifically:
Wherein, N is total user's number；PEiFor the actual price of user i；BiIt is compensated for the excitation of user i；μiFor user i
User Status in combination, μi∈ { 0,1 }, μi=1 participates in peak regulation, μ for user is selectedi=0 participates in for user is not selected
Peak regulation；di0-diThe sub- capacity of peak regulation of peak regulation, d are participated in for user iiElectricity needs after implementing demand response for user i,di0For the initial electrical demand of user i,It is needed for the electric power of user i
Ask-coefficient of elasticity, PEi0The initial bid of user i.
Preferably, the current quotes for updating user according to all actual prices specifically include:
The actual price for enabling each user in active user's combination is current quotes, remaining user maintains current quotes
It is constant.
Preferably, the current quotes of user are updated according to all actual prices and return step S2 is specifically included:
The current quotes of user are updated according to all actual prices；
Preference pattern is combined according to the current quotes of updated each user, the peak regulation total capacity, the adjustment user
In each user electricity needs after implementing demand response of User Status and user, obtain the new user combination for participating in peak regulation,
And the new user group is enabled to be combined into active user's combination.
Preferably, the method also includes:
According to the electric power vacancy of electricity needs, total peak capacity is determined.
Preferably, the electric power vacancy according to electricity needs determines that the total peak capacity for participating in peak regulation specifically includes:
The electric power vacancy for determining electricity needs is held some electrical power vacancy in the electric power vacancy as total peak regulation
Amount.
Preferably, Offer Model described in the Offer Model is based on DR-Shapley value, is up to user's self benefits
Target, and specifically:
Wherein, PEiFor the actual price of user i,α be user to itself study because
Son, β are Studying factors of the user to other users；BiIt is compensated for the excitation of user i；di0-diThe peak regulation of peak regulation is participated in for user i
Sub- capacity, diElectricity needs after implementing demand response for user i,di0For user i
Initial electrical demand,For electricity needs-coefficient of elasticity of user i；M is the active user's group for participating in peak regulation
The set of conjunction；N is total user's number；S is to choose the active user's combination for participating in peak regulation；| S | for the use in active user's combination S
Family number；(|S|-1)！For the arrangement number in combination S not including user i；(N-|S|)！For the arrangement number of combination (M-S)；
N！For the arrangement number of N number of user；The probability occurred for active user's combination S；V (S) is the income of combination S
Function, v (S)-v (S- { i }) are contributrion margin of the user i to active user's combination S.
The application second aspect provides a kind of selection device of user's combination, comprising:
First unit, for according to acquisition to total peak capacity of peak regulation, the current quotes of user and with polymerize quotient at
The user of this minimum target combines preference pattern, determines that the active user's combination for participating in peak regulation, user's combination include User ID
And the corresponding sub- capacity of peak regulation of each user；
Second unit, for receiving the Offer Model of each user in active user's combination according to its corresponding peak regulation
The actual price that capacity determines, and preference pattern is combined by the actual price and the user and calculates active user's group
Corresponding polymerization quotient's cost is closed, the Offer Model is up to target with user's self benefits；
Third unit, for judging whether the polymerization quotient cost is less than preset cost, if so, determining the current use
Family group is combined into peak regulation user combination, if it is not, updating current quotes and the retriggered institute of user according to all actual prices
First unit is stated, until active user combines corresponding polymerization quotient's cost less than the preset cost, and by the current user group
Cooperation is that the peak regulation user combines.
Preferably, the user combines preference pattern specifically:
Wherein, N is total user's number；PEiFor the actual price of user i；BiIt is compensated for the excitation of user i；μiFor user i
User Status in combination, μi∈ { 0,1 }, μi=1 participates in peak regulation, μ for user is selectedi=0 participates in for user is not selected
Peak regulation；di0-diThe sub- capacity of peak regulation of peak regulation, d are participated in for user iiElectricity needs after implementing demand response for user i,di0For the initial electrical demand of user i,It is needed for the electric power of user i
Ask-coefficient of elasticity, PEi0The initial bid of user i.
Preferably, described specifically to be wrapped according to the current quotes and return step S2 of all actual prices update users
It includes:
The current quotes of user are updated according to all actual prices；
Preference pattern is combined according to the current quotes of updated each user, the peak regulation total capacity, the adjustment user
In each user electricity needs after implementing demand response of User Status and user, obtain the new user combination for participating in peak regulation,
And the new user group is enabled to be combined into active user's combination.
As can be seen from the above technical solutions, the embodiment of the present application has the advantage that
This application provides a kind of selection methods of user combination, comprising: S1, is held according to total peak regulation to peak regulation of acquisition
Amount, the current quotes of user and preference pattern is combined as the user of target to polymerize quotient cost minimization, determines that participating in peak regulation works as
Preceding user's combination, user's combination include User ID and the sub- capacity of the corresponding peak regulation of each user；S2, active user's combination is received
In each user the actual price that is determined according to the sub- capacity of its corresponding peak regulation of Offer Model, and pass through the actual price and institute
It states user and combines the corresponding polymerization quotient's cost of preference pattern calculating active user's combination, the Offer Model is with user itself
Income Maximum is target；S3, judge whether the polymerization quotient cost is less than preset cost, if so, determining the active user
Group is combined into peak regulation user combination, if it is not, updating the current quotes and return step S1 of user according to all actual prices, directly
Corresponding polymerization quotient's cost is combined to active user and is less than the preset cost, and is the peak regulation by the current user group cooperation
User's combination.
In the application, first according to total peak capacity, under the constraint condition for considering polymerization quotient's cost minimization, adjusted according to total
The determining active user's combination for participating in peak regulation of current quotes of peak capacity, user, then the Offer Model of user is received based on itself
Under the maximum constraint condition of benefit, the quotation of each user in active user's combination is determined, polymerize quotient according to active user's combination die
The active user of determination in type at this time combines corresponding polymerization quotient's cost, if polymerization quotient's cost less than preset cost, at this time when
Preceding user's combination is to participate in active user's combination of peak regulation, if actual cost polymerization quotient's cost is not less than preset cost, more
Active user's combination is redefined after the current quotes of new user, until polymerization quotient's cost is less than preset cost, because user exists
It is to be carried out based on oneself Income Maximum when quotation, then polymerize the cost that quotient considers oneself further according to the quotation of user,
The income of user is comprehensively considered in whole process and polymerize the cost of quotient, is selected optimal active user and is combined participation peak regulation,
It to guarantee power supply reliability, solves how under the premise of meeting peak capacity, chooses the active user for participating in demand response
The technical issues of combination.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the first embodiment of the selection method of user's combination in the embodiment of the present application；
Fig. 2 is a kind of flow diagram of the second embodiment of the selection method of user's combination in the embodiment of the present application；
Fig. 3 is a kind of structural schematic diagram of the selection device of user's combination in the embodiment of the present application.
Specific embodiment
The embodiment of the present application provides the selection method and device of a kind of user's combination, solves how to meet peak capacity
Under the premise of, choose participate in demand response active user combination the technical issues of.
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only this
Apply for a part of the embodiment, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art exist
Every other embodiment obtained under the premise of creative work is not made, shall fall in the protection scope of this application.
Referring to Fig. 1, a kind of process signal of the first embodiment of the selection method of user's combination in the embodiment of the present application
Figure, comprising:
Step 101, according to acquisition to total peak capacity of peak regulation, the current quotes of user and to polymerize quotient's cost minimization
Preference pattern is combined for the user of target, determines the active user's combination for participating in peak regulation.
It should be noted that user's combination includes User ID and the sub- capacity of the corresponding peak regulation of each user.
Step 102, the Offer Model for receiving each user in active user's combination are determined according to its corresponding sub- capacity of peak regulation
Actual price, and preference pattern combined by actual price and user calculate active user and combine corresponding polymerization quotient's cost.
It should be noted that Offer Model is up to target with user's self benefits.It is understood that active user's group
In conjunction the sub- capacity of peak regulation the sum of it is equal with total peak capacity.
Step 103 judges to polymerize whether quotient's cost is less than preset cost, if so then execute step 104, if otherwise executing step
Rapid 105.
It should be noted that judging to polymerize after obtaining active user by step 102 and combining corresponding polymerization quotient's cost
Whether quotient's cost is less than preset cost, if then combining active user's combination as peak regulation user, if it is not, then updating current use
Active user's combination is redefined after the quotation of family, until active user combines corresponding polymerization quotient's cost and is less than preset cost.
Step 104 determines that active user's group is combined into peak regulation user combination.
Step 105, the current quotes and return step 101 that user is updated according to all actual prices, until active user
Corresponding polymerization quotient's cost is combined less than preset cost, and is peak regulation user combination by the current user group cooperation.
In the present embodiment, first according to total peak capacity, under the constraint condition for considering polymerization quotient's cost minimization, according to total
The determining active user's combination for participating in peak regulation of current quotes of peak capacity, user, then the Offer Model of user is based on itself
Under the constraint condition of Income Maximum, the quotation of each user in active user's combination is determined, polymerization quotient combines according to active user
The active user of determination at this time in model combines corresponding polymerization quotient's cost, if polymerization quotient's cost is less than preset cost, at this time
Active user's combination is to participate in active user's combination of peak regulation, if actual cost polymerization quotient's cost is not less than preset cost,
Active user's combination is redefined after updating the current quotes of user, until polymerization quotient's cost is less than preset cost, because of user
Quotation when be is carried out based on oneself Income Maximum, then polymerize quotient further according to user quotation consideration oneself at
This, comprehensively considers the income of user and polymerize the cost of quotient in whole process, select optimal active user and combine participation tune
Peak solves how under the premise of meeting peak capacity to guarantee power supply reliability, chooses the current use for participating in demand response
The technical issues of family is combined.
The above are a kind of first embodiments of the selection method of user's combination provided by the embodiments of the present application, and the following are this Shens
Please embodiment provide a kind of user combination selection method second embodiment.
Referring to Fig. 2, a kind of process signal of the second embodiment of the selection method of user's combination in the embodiment of the present application
Figure, comprising:
Step 201, the electric power vacancy according to electricity needs, determine total peak capacity.
It should be noted that step 201 is specifically as follows: determine the electric power vacancy of electricity needs, it will be in electric power vacancy
Some electrical power vacancy is as the total peak capacity for participating in peak regulation.The electric power vacancy of electricity needs may be biggish data, be more than
It polymerize the ability to bear of quotient, therefore polymerizeing quotient can be according to the ability of oneself using some electrical power vacancy in electric power vacancy as participation
Total peak capacity of peak regulation.It is understood that polymerization quotient can be according to region, obtaining in the region that each user is a certain amount of can
Control load, the basis of this controllable burden i.e. the sub- capacity of back peak regulation, the maximum controllable burden of all users and i.e. this is poly-
Close the ability to bear of quotient.
Step 202, according to acquisition to total peak capacity of peak regulation, the current quotes of user and to polymerize quotient's cost minimization
Preference pattern is combined for the user of target, determines the active user's combination for participating in peak regulation.
It should be noted that user's combination includes User ID and the sub- capacity of the corresponding peak regulation of each user.
User combines preference pattern to polymerize quotient's cost minimization as target, further specifically:
Wherein, N is total user's number；PEiFor the actual price of user i；BiIt is compensated for the excitation of user i；μiFor user i
User Status in combination, μi∈ { 0,1 }, μi=1 participates in peak regulation, μ for user is selectedi=0 participates in for user is not selected
Peak regulation；di0-diThe sub- capacity of peak regulation of peak regulation, d are participated in for user iiElectricity needs after implementing demand response for user i,di0For the initial electrical demand of user i,It is needed for the electric power of user i
Ask-coefficient of elasticity, PEi0The initial bid of user i.
Step 203, the Offer Model for receiving each user in active user's combination are determined according to its corresponding sub- capacity of peak regulation
Actual price, and preference pattern combined by actual price and user calculate active user and combine corresponding polymerization quotient's cost.
It should be noted that Offer Model is up to target with user's self benefits, specifically:
Wherein, PEiFor the actual price of user i,α be user to itself study because
Son, β are Studying factors of the user to other users；BiIt is compensated for the excitation of user i；di0-diThe peak regulation of peak regulation is participated in for user i
Sub- capacity, diElectricity needs after implementing demand response for user i,di0For user i
Initial electrical demand,For electricity needs-coefficient of elasticity of user i；M is the active user's group for participating in peak regulation
The set of conjunction；N is total user's number；S is to choose the active user's combination for participating in peak regulation；| S | for the use in active user's combination S
Family number；(|S|-1)！For the arrangement number in combination S not including user i；(N-|S|)！For the arrangement number of combination (M-S)；
N！For the arrangement number of N number of user；The probability occurred for active user's combination S；V (S) is the income of combination S
Function, v (S)-v (S- { i }) are contributrion margin of the user i to active user's combination S, and S- { i } indicates to remove the residual set of user i
Close all users in S.It is understood that v (S) be active user's combination S in user income and.
Step 204 judges to polymerize whether quotient's cost is less than preset cost, if so, 205 are thened follow the steps, if it is not, then executing
Step 206.
Step 204 is identical as the content of step 103 in the application first embodiment, and specific descriptions may refer to the first implementation
The content of example step 104, details are not described herein.
Step 205 determines that active user's group is combined into peak regulation user combination.
Step 206, the current quotes that user is updated according to all actual prices, and return step 202, active user's combination
Corresponding polymerization quotient's cost is less than preset cost, and is peak regulation user combination by the current user group cooperation.
It should be noted that updating the current quotes of user according to all actual prices specifically: active user is enabled to combine
In each user actual price be current quotes, remaining user maintain current quotes it is constant.
It should be noted that according to the current quotes of all actual prices update user, simultaneously return step 102 is specifically included:
The current quotes that user is updated according to all actual prices according to the current quotes of updated each user, peak regulation total capacity, are adjusted
Whole user combines the electricity needs of the User Status and user of each user in preference pattern after implementing demand response, is participated in
The new user of peak regulation combines, and new user group is enabled to be combined into active user's combination.
It is understood that the User Status and user in adjustment user's combination preference pattern are after implementing demand response
Electricity needs, obtains the new user combination for participating in peak regulation, and active user's combination before new user's combination is compared can be adjustment
The sub- capacity of peak regulation, can be and have adjusted User ID, can also both be adjusted, it is to be understood that obtaining it is new
(User ID and the sub- capacity of user's peak adjusting in active user's combination are determined) when combination, and the principle followed is PSO algorithm, tool
Body are as follows: the number in setting SwarmSize (Population Size number)=active user combination, ParticleSize (particle dimension)
=1, ParticleScope (range that a particle is respectively tieed up in operation) respond potentiality setting, Yong Huxu according to user demand
Response potentiality are asked to be obtained according to the historic demand response speed of user and the historic demand response quautity of user, AdaptFunc (is adapted to
Spend function) it is that user combines preference pattern, Studying factors c1=c2=2, inertia weight w=0.7, when iteration: (1) initial beginningization
Population basic parameter, including particle dimension, Studying factors, Inertia Weight etc.；(2) based on the initial of primary condition setting particle
Position and speed, and according to the fitness of objective function calculating primary；(3) speed of more new particle and position calculate grain
The target function value of son, and the individual extreme value of more new particle and the global extremum of group；(4) it checks whether to meet polymerization quotient's cost
The smallest condition exports the combination if meeting, otherwise goes to step (3).
Simultaneously, it should be noted that by new user group cooperation be active user combine, at this time active user combination in it is each
The Offer Model of user is offered again, it is to be understood that user is during offering, according to quotation Studying factors pair
Quotation is adjusted, and α and β above-mentioned have respective value range, corresponding in adjusting range when being adjusted
α and/or β are adjusted, to be offered, it is to be understood that when general adjustment, the principle deferred to be user gradually it is few to
Oneself study, and analyze other people quotation more, when the quotation of oneself is apparently higher than other people quotation, the regularized learning algorithm factor
The quotation of oneself is reduced, to promote the market competitiveness of oneself, when the quotation of oneself is significantly lower than other people quotation, is adjusted
Whole Studying factors promote the quotation of oneself, with additional income.
In the present embodiment, first according to total peak capacity, under the constraint condition for considering polymerization quotient's cost minimization, according to total
The determining active user's combination for participating in peak regulation of current quotes of peak capacity, user, then the Offer Model of user is based on itself
Under the constraint condition of Income Maximum, the quotation of each user in active user's combination is determined, polymerization quotient combines according to active user
The active user of determination at this time in model combines corresponding polymerization quotient's cost, if polymerization quotient's cost is less than preset cost, at this time
Active user's combination is to participate in active user's combination of peak regulation, if actual cost polymerization quotient's cost is not less than preset cost,
Active user's combination is redefined after updating the current quotes of user, until polymerization quotient's cost is less than preset cost, because of user
Quotation when be is carried out based on oneself Income Maximum, then polymerize quotient further according to user quotation consideration oneself at
This, comprehensively considers the income of user and polymerize the cost of quotient in whole process, select optimal active user and combine participation tune
Peak solves how under the premise of meeting peak capacity to guarantee power supply reliability, chooses the current use for participating in demand response
The technical issues of family is combined.
The above are a kind of second embodiments of the selection method of user's combination provided by the embodiments of the present application, and the following are this Shens
Please embodiment provide a kind of user combination selection device embodiment.
Referring to Fig. 3, a kind of example structure schematic diagram of the selection device of user's combination, packet in the embodiment of the present application
It includes:
First unit 301, for according to acquisition to total peak capacity of peak regulation, the current quotes of user and to polymerize quotient
Cost minimization is that the user of target combines preference pattern, determines that the active user's combination for participating in peak regulation, user's combination include user
ID and the sub- capacity of the corresponding peak regulation of each user；
Second unit 302, for receiving the Offer Model of each user in active user's combination according to its corresponding peak regulation
The actual price that capacity determines, and preference pattern is combined by actual price and user and calculates the corresponding polymerization of active user's combination
Quotient's cost, Offer Model are up to target with user's self benefits；
Third unit 303 polymerize whether quotient's cost is less than preset cost for judging, if so, determining active user's group
It is combined into peak regulation user combination, if it is not, updating the current quotes and retriggered first unit of user according to all actual prices
301, it until active user combines corresponding polymerization quotient's cost and is less than preset cost, and is peak regulation use by the current user group cooperation
Family combination.
Further, user combines preference pattern specifically:
Wherein, N is total user's number；PEiFor the actual price of user i；BiIt is compensated for the excitation of user i；μiFor user i
User Status in combination, μi∈ { 0,1 }, μi=1 participates in peak regulation, μ for user is selectedi=0 participates in for user is not selected
Peak regulation；di0-diThe sub- capacity of peak regulation of peak regulation, d are participated in for user iiElectricity needs after implementing demand response for user i,di0For the initial electrical demand of user i,It is needed for the electric power of user i
Ask-coefficient of elasticity, PEi0The initial bid of user i.
Further, the current quotes of user are updated according to all actual prices and return step S2 is specifically included:
The current quotes of user are updated according to all actual prices；
Each user in preference pattern is combined according to the current quotes of updated each user, peak regulation total capacity, adjustment user
Electricity needs after implementing demand response of User Status and user, obtain the new user combination for participating in peak regulation, and enable new use
Family group is combined into active user's combination.
In the present embodiment, first according to total peak capacity, under the constraint condition for considering polymerization quotient's cost minimization, according to total
The determining active user's combination for participating in peak regulation of current quotes of peak capacity, user, then the Offer Model of user is based on itself
Under the constraint condition of Income Maximum, the quotation of each user in active user's combination is determined, polymerization quotient combines according to active user
The active user of determination at this time in model combines corresponding polymerization quotient's cost, if polymerization quotient's cost is less than preset cost, at this time
Active user's combination is to participate in active user's combination of peak regulation, if actual cost polymerization quotient's cost is not less than preset cost,
Active user's combination is redefined after updating the current quotes of user, until polymerization quotient's cost is less than preset cost, because of user
Quotation when be is carried out based on oneself Income Maximum, then polymerize quotient further according to user quotation consideration oneself at
This, comprehensively considers the income of user and polymerize the cost of quotient in whole process, select optimal active user and combine participation tune
Peak solves how under the premise of meeting peak capacity to guarantee power supply reliability, chooses the current use for participating in demand response
The technical issues of family is combined.
It is apparent to those skilled in the art that for convenience and simplicity of description, the device of foregoing description
It with the specific work process of unit, can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
The description of the present application and term " first " in above-mentioned attached drawing, " second ", " third ", " the 4th " etc. are (if deposited
) it is to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that use in this way
Data are interchangeable under appropriate circumstances, so that embodiments herein described herein for example can be in addition to illustrating herein
Or the sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that
Cover it is non-exclusive include, for example, containing the process, method, system, product or equipment of a series of steps or units need not limit
In step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, produce
The other step or units of product or equipment inherently.
It should be appreciated that in this application, " at least one (item) " refers to one or more, and " multiple " refer to two or two
More than a."and/or" indicates may exist three kinds of relationships, for example, " A and/or B " for describing the incidence relation of affiliated partner
It can indicate: only exist A, only exist B and exist simultaneously tri- kinds of situations of A and B, wherein A, B can be odd number or plural number.Word
Symbol "/" typicallys represent the relationship that forward-backward correlation object is a kind of "or"." at least one of following (a) " or its similar expression, refers to
Any combination in these, any combination including individual event (a) or complex item (a).At least one of for example, in a, b or c
(a) can indicate: a, b, c, " a and b ", " a and c ", " b and c ", or " a and b and c ", and wherein a, b, c can be individually, can also
To be multiple.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the unit, only
Only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can be tied
Another system is closed or is desirably integrated into, or some features can be ignored or not executed.Another point, it is shown or discussed
Mutual coupling, direct-coupling or communication connection can be through some interfaces, the INDIRECT COUPLING or logical of device or unit
Letter connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, the technical solution of the application is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the application
Portion or part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (full name in English: Read-Only
Memory, english abbreviation: ROM), random access memory (full name in English: Random Access Memory, english abbreviation:
RAM), the various media that can store program code such as magnetic or disk.
The above, above embodiments are only to illustrate the technical solution of the application, rather than its limitations；Although referring to before
Embodiment is stated the application is described in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of selection method of user's combination characterized by comprising
S1, according to acquisition to total peak capacity of peak regulation, the current quotes of user and to polymerize quotient's cost minimization as target
User combines preference pattern, determines that the active user's combination for participating in peak regulation, user's combination include that User ID and each user are corresponding
The sub- capacity of peak regulation；
The reality that S2, the Offer Model for receiving each user in active user's combination are determined according to its corresponding sub- capacity of peak regulation
Quotation, and preference pattern is combined by the actual price and the user and calculates the corresponding polymerization quotient of active user's combination
Cost, the Offer Model are up to target with user's self benefits；
S3, judge whether the polymerization quotient cost is less than preset cost, if so, determining that active user's group is combined into peak regulation use
Family combination, if it is not, the current quotes and return step S1 of user are updated according to all actual prices, until active user's group
Corresponding polymerization quotient's cost is closed less than the preset cost, and is peak regulation user combination by the current user group cooperation.
2. the selection method of user's combination according to claim 1, which is characterized in that the user combines preference pattern tool
Body are as follows:
Wherein, N is total user's number；PEiFor the actual price of user i；BiIt is compensated for the excitation of user i；μiIt is being combined for user i
In User Status, μi∈ { 0,1 }, μi=1 participates in peak regulation, μ for user is selectedi=0 participates in peak regulation for user is not selected；
di0-diThe sub- capacity of peak regulation of peak regulation, d are participated in for user iiElectricity needs after implementing demand response for user i,di0For the initial electrical demand of user i,It is needed for the electric power of user i
Ask-coefficient of elasticity, PEi0The initial bid of user i.
3. the selection method of user's combination according to claim 2, which is characterized in that described according to all practical reports
The current quotes that valence updates user specifically include:
The actual price for enabling each user in active user's combination is current quotes, remaining user maintains current quotes not
Become.
4. the selection method of user's combination according to claim 2, which is characterized in that more according to all actual prices
The current quotes and return step S2 of new user specifically include:
The current quotes of user are updated according to all actual prices；
It is combined according to the current quotes of updated each user, the peak regulation total capacity, the adjustment user each in preference pattern
Electricity needs of the User Status and user of user after implementing demand response obtains the new user combination for participating in peak regulation, and enables
The new user group is combined into active user's combination.
5. the selection method of user's combination according to claim 1, which is characterized in that the method also includes:
According to the electric power vacancy of electricity needs, total peak capacity is determined.
6. the selection method of user's combination according to claim 5, which is characterized in that the electric power according to electricity needs
Vacancy determines that the total peak capacity for participating in peak regulation specifically includes:
The electric power vacancy for determining electricity needs, using some electrical power vacancy in the electric power vacancy as total peak capacity.
7. the selection method of user's combination according to claim 1, which is characterized in that mould of offering described in the Offer Model
Type is based on DR-Shapley value, is up to target with user's self benefits, and specifically:
Wherein, PEiFor the actual price of user i,α is Studying factors of the user to itself, β
It is user to the Studying factors of other users；BiIt is compensated for the excitation of user i；di0-diHold for user i peak regulation for participating in peak regulation
Amount, diElectricity needs after implementing demand response for user i,di0For the first of user i
Beginning electricity needs,For electricity needs-coefficient of elasticity of user i；M is that the active user of participation peak regulation combines
Set；N is total user's number；S is to choose the active user's combination for participating in peak regulation；| S | for the user in active user's combination S
Number；(|S|-1)！For the arrangement number in combination S not including user i；(N-|S|)！For the arrangement number of combination (M-S)；N！For N
The arrangement number of a user；The probability occurred for active user's combination S；V (S) is the revenue function of combination S,
V (S)-v (S- { i }) is contributrion margin of the user i to active user's combination S.
8. a kind of selection device of user's combination characterized by comprising
First unit, for according to acquisition to total peak capacity of peak regulation, the current quotes of user and to polymerize quotient's cost most
Small user's combination preference pattern for target, the determining active user's combination for participating in peak regulation, user's combination is including User ID and respectively
The sub- capacity of the corresponding peak regulation of user；
Second unit, for receiving the Offer Model of each user in active user's combination according to its corresponding sub- capacity of peak regulation
Determining actual price, and preference pattern is combined by the actual price and the user and calculates active user's combination pair
The polymerization quotient's cost answered, the Offer Model are up to target with user's self benefits；
Third unit, for judging whether the polymerization quotient cost is less than preset cost, if so, determining active user's group
Be combined into peak regulation user combination, if it is not, according to all actual prices update users current quotes and retriggered described in the
Unit one, until active user combines corresponding polymerization quotient's cost less than the preset cost, and by the current user group cooperation
For peak regulation user combination.
9. the selection device of user's combination according to claim 8, which is characterized in that the user combines preference pattern tool
Body are as follows:
Wherein, N is total user's number；PEiFor the actual price of user i；BiIt is compensated for the excitation of user i；μiIt is being combined for user i
In User Status, μi∈ { 0,1 }, μi=1 participates in peak regulation, μ for user is selectedi=0 participates in peak regulation for user is not selected；
di0-diThe sub- capacity of peak regulation of peak regulation, d are participated in for user iiElectricity needs after implementing demand response for user i,di0For the initial electrical demand of user i,It is needed for the electric power of user i
Ask-coefficient of elasticity, PEi0The initial bid of user i.
10. the selection device of user's combination according to claim 8, which is characterized in that described according to all reality
Quotation updates the current quotes of user and return step S2 is specifically included:
The current quotes of user are updated according to all actual prices；
It is combined according to the current quotes of updated each user, the peak regulation total capacity, the adjustment user each in preference pattern
Electricity needs of the User Status and user of user after implementing demand response obtains the new user combination for participating in peak regulation, and enables
The new user group is combined into active user's combination.
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| CN201811565204.4A CN109509071A (en) | 2018-12-20 | 2018-12-20 | A kind of selection method and device of user's combination |
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| CN201811565204.4A CN109509071A (en) | 2018-12-20 | 2018-12-20 | A kind of selection method and device of user's combination |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112381474A (en) * | 2021-01-14 | 2021-02-19 | 南方电网数字电网研究院有限公司 | Method for participating in electric power auxiliary peak shaving by user side resource aggregation |
| CN114071527A (en) * | 2020-08-05 | 2022-02-18 | 中国电信股份有限公司 | Energy-saving method and device for base station and base station |
-
2018
- 2018-12-20 CN CN201811565204.4A patent/CN109509071A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114071527A (en) * | 2020-08-05 | 2022-02-18 | 中国电信股份有限公司 | Energy-saving method and device for base station and base station |
| CN114071527B (en) * | 2020-08-05 | 2024-02-06 | 中国电信股份有限公司 | Energy saving method and device of base station and base station |
| CN112381474A (en) * | 2021-01-14 | 2021-02-19 | 南方电网数字电网研究院有限公司 | Method for participating in electric power auxiliary peak shaving by user side resource aggregation |
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