CN104239670A - Automatic demand response control method based on resources and time constraints - Google Patents

Abstract

The invention provides an automatic demand response control method based on resources and time constraints. The method includes: acquiring load gap variables; selecting corresponding model algorithms according to the load gap variables; substituting appropriate variables into the corresponding model algorithms so as to reduce loss; increasing the varieties of the response measures participating in automatic demand response so as to maximize user benefits.

Description

Take into account the automatic demand response control method of resource and time-constrain

Technical field

The present invention relates to intelligent grid control field, particularly relate to a kind of happiness demand response control method based on resource and latency constraint.

Background technology

Demand response refers to and is encouraged and guided user initiatively to change traditional power mode by means such as technology, economy, administration, laws, carried out scientific and reasonable electricity consumption, to promote that electric power resource is distributed rationally, ensure the management work of power system security, reliable, economical operation.

Automatic demand response introduces intelligent terminal and automatic technology on the basis of demand response, make the participation main body of participation demand response by standard communication techniques that an is opening, general, interoperable, signal according to receiving enables the demand response strategy pre-set automatically, thus realizes robotization, the intellectuality of demand response.

The responsive measures kind that current China can participate in automatic demand response is less, cannot realize the maximization of user's benefit.

Summary of the invention

Provide hereinafter about brief overview of the present invention, to provide about the basic comprehension in some of the present invention.Should be appreciated that this general introduction is not summarize about exhaustive of the present invention.It is not that intention determines key of the present invention or pith, and nor is it intended to limit the scope of the present invention.Its object is only provide some concept in simplified form, in this, as the preorder in greater detail discussed after a while.

The invention provides a kind of automatic demand response control method taking into account resource and time-constrain, comprising:

Obtain load breach variable;

According to the corresponding model algorithm of load breach variables choice;

Select suitable variable to bring corresponding model algorithm into, make penalty values minimum.

Further, described model algorithm comprises the first model algorithm, when described load breach variable is 10%, selects described first algorithm model;

Described first algorithm model is:

$\mathrm{MaxF}=U_T\left(E_T\right)-P_T{E}_T+\underset{n=1}{\overset{24-t}{\mathrm{\Σ}}}[U_{T+n}\left(E_{T+n}\right)-P_{T+n}^{\min }{E}_{T+n}]-\mathrm{\θ\Γ}-\underset{n=1}{\overset{24-t}{\mathrm{\Σ}}}{\mathrm{\δ}}_{T+n},$

The constraint condition of described first algorithm model comprises:

$\underset{n=1}{\overset{T-1}{\mathrm{\Σ}}}{E}_n+E_T+\underset{n=1}{\overset{24-T}{\mathrm{\Σ}}}{E}_{T+n}\≥\stackrel{\‾}{E},$

$E_{T+n}=\frac{D_{t+n}+D_{t+n+1}}{2}n=0,\·\·\·\·\·\·,24-T,$

D _T+n-D _T+n+1≤r ^D，

D _T+n+1-D _T+n≤r ^U，

$D_{T+n+1}^{\min }\≤D_{T+n+1}\≤D_{T+n+1}^{\max },$

E _T+n≤X _T+n，

$\mathrm{\θ}+{\mathrm{\δ}}_{T+n}\≥(P_{T+n}^{\max }-P_{T+n}^{\min })X_{T+n},$

δ _T+n≥0，X _T+n≥0，

Wherein, u _kfor user is at the utility value of a kth time period; P _tfor the Spot Price of T period; E _kfor user is at the power consumption of k period; D _kfor the electrical energy demands of user when period k initial time; for the maximal value that T+i period forecasted electricity market price may occur; for the minimum value that T+i period forecasted electricity market price may occur; θ, δ _t+irepresent that electricity price changes the cost fluctuation brought, the cost fluctuation that the former may bring due to fixing price expectation deviation, the latter represents the cost fluctuation that the electricity price deviation that each Different periods may occur is brought; Γ is control variable, represents the price deviation whether occurring fixing; r ^dfor the peak-to-valley value of customer charge, r ^ufor the peak value of customer charge; X _t+nfor auxiliary variable.

Further, described model algorithm comprises the second model algorithm, when described load breach variable is 11%-20%, selects described second algorithm model;

Described second algorithm model is:

$\min f=\underset{i=1}{\overset{t_n}{\mathrm{\Σ}}}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_n(t,i)P_B(t,i)x(t,i),$

The constraint condition of described second algorithm model comprises:

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_n(t,i)x(t,i)\≥\mathrm{\ΔL},$

S(t+m，i)=1(m=1，……，n _d(i)-1)，

$\underset{i=1}{\overset{t_n}{\mathrm{\Σ}}}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_n(t,i)[{\mathrm{\λ}}_{i}x(t,i)+P_{m}x(t,i)-P_{B}x(t,i)]\≥0,$

P _Bx(t，i)-C(t，i，α _i)≥0，

$\underset{t=1}{\overset{t_n}{\mathrm{\Σ}}}{S}_n(t,i)t\≤n_s\left(i\right),$

|r-t|≥n _i(i)，

S _n(t-1, i)=0, S _n(t, i)=1 and S _n(r-1, i)=0, S _n(r, i)=1,

Wherein, t is time numbering, in described second algorithm model, be divided into t altogether _nthe individual time period; I is Customs Assigned Number, S _n(t, i) is 0-1 variable, represents the state of i-th user's interruptible load in the t time period; P _b(t, i) represents the unit compensation price paid in the t time period; X (t, i) represents the load that user i interrupted in the t time period; Δ L is the electric energy vacancy of system; n _di () is the interruption duration of i-th user; n _sthe i total duration of interruptible load that () can bear for user in certain hour section; n _ii () is the time interval of i-th user, twice interruptible load.

The automatic demand response control method taking into account resource and time-constrain provided by the invention, increases the responsive measures kind participated in automatic demand response, to realize the maximization of user's benefit.

Accompanying drawing explanation

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.

Fig. 1 is the process flow diagram taking into account a kind of embodiment of automatic demand response control method of resource and time-constrain provided by the invention.

Embodiment

For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.The element described in an accompanying drawing of the present invention or a kind of embodiment and feature can combine with the element shown in one or more other accompanying drawing or embodiment and feature.It should be noted that for purposes of clarity, accompanying drawing and eliminate expression and the description of unrelated to the invention, parts known to persons of ordinary skill in the art and process in illustrating.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under the prerequisite not paying creative work, all belongs to the scope of protection of the invention.

With reference to figure 1, the present embodiment provides a kind of automatic demand response control method taking into account resource and time-constrain, comprising:

Step S101, obtains load breach variable;

Step S102, according to the corresponding model algorithm of load breach variables choice;

Step S103, selects suitable variable to bring corresponding model algorithm into, makes penalty values minimum.

Further, model algorithm comprises the first model algorithm, and when described load breach variable is 10%, load is general nervous, now selects described first algorithm model;

Described first algorithm model is:

$\mathrm{MaxF}=U_T\left(E_T\right)-P_T{E}_T+\underset{n=1}{\overset{24-t}{\mathrm{\Σ}}}[U_{T+n}\left(E_{T+n}\right)-P_{T+n}^{\min }{E}_{T+n}]-\mathrm{\θ\Γ}-\underset{n=1}{\overset{24-t}{\mathrm{\Σ}}}{\mathrm{\δ}}_{T+n},$

The constraint condition of described first algorithm model comprises:

$\underset{n=1}{\overset{T-1}{\mathrm{\Σ}}}{E}_n+E_T+\underset{n=1}{\overset{24-T}{\mathrm{\Σ}}}{E}_{T+n}\≥\stackrel{\‾}{E},$

$E_{T+n}=\frac{D_{t+n}+D_{t+n+1}}{2}n=0,\·\·\·\·\·\·,24-T,$

D _T+n-D _T+n+1≤r ^D，

D _T+n+1-D _T+n≤r ^U，

$D_{T+n+1}^{\min }\≤D_{T+n+1}\≤D_{T+n+1}^{\max },$

E _T+n≤X _T+n，

$\mathrm{\θ}+{\mathrm{\δ}}_{T+n}\≥(P_{T+n}^{\max }-P_{T+n}^{\min })X_{T+n},$

δ _T+n≥0，X _T+n≥0，

Wherein, U _kfor user is at the utility value (utility value for dissimilar user also can be weighed by different indexs) of a kth time period; P _tfor the Spot Price of T period; E _kfor user is at the power consumption of k period; D _kfor the electrical energy demands (power consumption of user present period and the electrical energy demands of subsequent period be premeasuring) of user when period k initial time; for the maximal value that T+i period forecasted electricity market price may occur; for the minimum value that T+i period forecasted electricity market price may occur; θ, δ _t+irepresent that electricity price changes the cost fluctuation brought, the cost fluctuation that the former may bring due to fixing price expectation deviation, the latter represents the cost fluctuation that the electricity price deviation that each Different periods may occur is brought; Γ is control variable, represents the price deviation whether occurring fixing; r ^dfor the peak-to-valley value of customer charge, r ^ufor the peak value of customer charge; X _t+nfor auxiliary variable.

When described load breach variable is 10%, consider Spot Price responsive measures.Response model with user's maximizing the benefits for target.

Further, described model algorithm comprises the second model algorithm, and when described load breach variable is 11%-20%, load is nervous, now selects described second algorithm model;

Described second algorithm model is:

$\min f=\underset{i=1}{\overset{t_n}{\mathrm{\Σ}}}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_n(t,i)P_B(t,i)x(t,i),$

The constraint condition of described second algorithm model comprises:

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_n(t,i)x(t,i)\≥\mathrm{\ΔL},$

S(t+m，i)=1(m=1，……，n _d(i)-1)，

$\underset{i=1}{\overset{t_n}{\mathrm{\Σ}}}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_n(t,i)[{\mathrm{\λ}}_{i}x(t,i)+P_{m}x(t,i)-P_{B}x(t,i)]\≥0,$

P _Bx(t，i)-C(t，i，α _i)≥0，

$\underset{t=1}{\overset{t_n}{\mathrm{\Σ}}}{S}_n(t,i)t\≤n_s\left(i\right),$

|r-t|≥n _i(i)，

S _n(t-1, i)=0, S _n(t, i)=1 and S _n(r-1, i)=0, S _n(r, i)=1,

Wherein, t is time numbering, in described second algorithm model, be divided into t altogether _nthe individual time period; I is Customs Assigned Number, S _n(t, i) is 0-1 variable, represents the state of i-th user's interruptible load in the t time period; P _b(t, i) represents the unit compensation price of paying Subscriber Unit in t time period grid company; X (t, i) represents the load that user i interrupted in the t time period; Δ L is the electric energy vacancy of system; n _di () is the interruption duration of i-th user; n _sthe i total duration of interruptible load that () can bear for user in certain hour section; n _ii () is the time interval of i-th user, twice interruptible load.

The function that second algorithm model realizes is: benefit and effect are taken into account, and should reduce workload demand within the shorter time, can not cause huge loss simultaneously.Response model signs the cost of compensation of interruptible load contract for objective function with grid company, has considered the cost and benefit that grid company and user participate in interruptible load contract in a model.

When load breach variable is greater than 20%, be the situation that load is nervous especially, when load is nervous especially, the function of model realization is: effect is optimum, reduces workload demand, disregard loss within the shortest time.In this case, ensure that electric power netting safe running and supply order stabilize to primary goal, the principle of " five guarantees, two preferential " should be followed: ensure that resident living power utility is unaffected, ensure that agricultural production electricity consumption is unaffected, guarantee national defense industry and responsible consumer normal electricity consumption unaffected; The rational utilization of electricity demand of new and high technology of giving priority in arranging for and foreign capital affiliate.This response prediction scheme implements responsive measures according to the classification and ordination of customer charge tonicity, and emphasis ensures the electricity consumption of a type load.

State in each embodiment on the invention, the sequence number of embodiment is only convenient to describe, and does not represent the quality of embodiment.The description of each embodiment is all emphasized particularly on different fields, in certain embodiment, there is no the part described in detail, can see the associated description of other embodiments.

One of ordinary skill in the art will appreciate that: all or part of step realizing said method embodiment can have been come by the hardware that programmed instruction is relevant, aforesaid program can be stored in a computer read/write memory medium, this program, when performing, performs the step comprising said method embodiment; And aforesaid storage medium comprises: ROM (read-only memory) (Read-Only Memory, be called for short ROM), random access memory (Random Access Memory, be called for short RAM), magnetic disc or CD etc. various can be program code stored medium.

In the embodiments such as apparatus and method of the present invention, obviously, each parts or each step reconfigure after can decomposing, combine and/or decomposing.These decompose and/or reconfigure and should be considered as equivalents of the present invention.Simultaneously, above in the description of the specific embodiment of the invention, the feature described for a kind of embodiment and/or illustrate can use in one or more other embodiment in same or similar mode, combined with the feature in other embodiment, or substitute the feature in other embodiment.

Should emphasize, term " comprises/comprises " existence referring to feature, key element, step or assembly when using herein, but does not get rid of the existence or additional of one or more further feature, key element, step or assembly.

Although last it is noted that described the present invention and advantage thereof in detail above, be to be understood that and can carry out various change when not exceeding the spirit and scope of the present invention limited by appended claim, substituting and converting.And scope of the present invention is not limited only to the specific embodiment of process, equipment, means, method and step described by instructions.One of ordinary skilled in the art will readily appreciate that from disclosure of the present invention, can use perform the function substantially identical with corresponding embodiment described herein or obtain and its substantially identical result, existing and that will be developed in the future process, equipment, means, method or step according to the present invention.Therefore, appended claim is intended to comprise such process, equipment, means, method or step in their scope.

Claims (3)

1. take into account an automatic demand response control method for resource and time-constrain, it is characterized in that, comprising:

Obtain load breach variable;

According to the corresponding model algorithm of load breach variables choice;

Select suitable variable to bring corresponding model algorithm into, make penalty values minimum.

2. the automatic demand response control method taking into account resource and time-constrain according to claim 1, is characterized in that,

Described model algorithm comprises the first model algorithm, when described load breach variable is 10%, selects described first algorithm model;

Described first algorithm model is:

$\mathrm{MaxF}=U_T\left(E_T\right)-P_T{E}_T+\underset{n=1}{\overset{24-t}{\mathrm{\Σ}}}[U_{T+n}\left(E_{T+n}\right)-P_{T+n}^{\min }{E}_{T+n}]-\mathrm{\θ\Γ}-\underset{n=1}{\overset{24-t}{\mathrm{\Σ}}}{\mathrm{\δ}}_{T+n}$

The constraint condition of described first algorithm model comprises:

$\underset{n=1}{\overset{T-1}{\mathrm{\Σ}}}{E}_n+E_T+\underset{n=1}{\overset{24-T}{\mathrm{\Σ}}}{E}_{T+n}\≥\stackrel{\‾}{E},$

$E_{T+n}=\frac{D_{t+n}+D_{t+n+1}}{2}n=0,\·\·\·\·\·\·,24-T,$

D _T+n-D _T+n+1≤r ^D，

D _T+n+1-D _T+n≤r ^U，

$D_{T+n+1}^{\min }\≤D_{T+n+1}\≤D_{T+n+1}^{\max },$

E _T+n≤X _T+n，

$\mathrm{\θ}+{\mathrm{\δ}}_{T+n}\≥(P_{T+n}^{\max }-P_{T+n}^{\min })X_{T+n},$

δ _T+n≥0，X _T+n≥0，

Wherein, U _kfor user is at the utility value of a kth time period; P _tfor the Spot Price of T period; E _kfor user is at the power consumption of k period; D _kfor the electrical energy demands of user when period k initial time; for the maximal value that T+i period forecasted electricity market price may occur; for the minimum value that T+i period forecasted electricity market price may occur; θ, δ _t+irepresent that electricity price changes the cost fluctuation brought, the cost fluctuation that the former may bring due to fixing price expectation deviation, the latter represents the cost fluctuation that the electricity price deviation that each Different periods may occur is brought; Γ is control variable, represents the price deviation whether occurring fixing; r ^dfor the peak-to-valley value of customer charge, r ^ufor the peak value of customer charge; X _t+nfor auxiliary variable.

3. the automatic demand response control method taking into account resource and time-constrain according to claim 1, is characterized in that,

Described model algorithm comprises the second model algorithm, when described load breach variable is 11%-20%, selects described second algorithm model;

Described second algorithm model is:

$\min f=\underset{i=1}{\overset{t_n}{\mathrm{\Σ}}}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_n(t,i)P_B(t,i)x(t,i),$

The constraint condition of described second algorithm model comprises:

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_n(t,i)x(t,i)\≥\mathrm{\ΔL},$

S(t+m，i)＝1(m＝1，……，n _d(i)-1)，

$\underset{i=1}{\overset{t_n}{\mathrm{\Σ}}}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{S}_n(t,i)[{\mathrm{\λ}}_{i}x(t,i)+P_{m}x(t,i)-P_{B}x(t,i)]\≥0,$

P _Bx(t，i)-C(t，i，α _i)≥0，

$\underset{t=1}{\overset{t_n}{\mathrm{\Σ}}}{S}_n(t,i)t\≤n_s\left(i\right),$

|r-t|≥n _i(i)，

S _n(t-1, i)=0, S _n(t, i)=1 and S _n(r-1, i)=0, S _n(r, i)=1,

Wherein, t is time numbering, in described second algorithm model, be divided into t altogether _nthe individual time period; I is Customs Assigned Number, S _n(t, i) is 0-1 variable, represents the state of i-th user's interruptible load in the t time period; P _b(t, i) represents the unit compensation price paid in the t time period; X (t, i) represents the load that user i interrupted in the t time period; Δ L is the electric energy vacancy of system; n _di () is the interruption duration of i-th user; n _sthe i total duration of interruptible load that () can bear for user in certain hour section; n _ii () is the time interval of i-th user, twice interruptible load.