CN105069302A - Online adjustment model based scheduling method - Google Patents

Abstract

The invention provides an online adjustment model based scheduling method, comprising: constructing an online adjustment model by scheduling household appliances; and determining solar energy consumption according to the online adjustment model. According to the method, the solar energy consumption can be accurately predicted.

Description

Based on the dispatching method of on-line tuning model

Technical field

The present invention relates to intelligent appliance technology, particularly relate to a kind of dispatching method based on on-line tuning model.

Background technology

In wired home, all electrical appliances are all connected with central control unit.Household electrical appliance in wired home generally have multiple power and can select.Central control unit is selected the power in each household electrical appliance each period according to the service condition of various resource.In general, resource available in wired home comprises sun power, the energy of battery storage and from the electric energy in electrical network.Central control unit considers the storage of the concentrated energy and the factor of cost, provides electricity consumption strategy the most to one's profit.

In modern intelligent grid, time power transformation valency be a kind of electricity pricing strategy of widespread use.According to the electricity consumption situation of user, Utilities Electric Co. is that the electric energy in electrical network formulates different unit price of power, to encourage user's electricity consumption when electricity price is low, finally makes electric power loads reach balance.

The object of wired home scheduling model is as user finds best electricity consumption strategy, makes user can the electricity charge of consumes least.Meanwhile, each user, when using household electrical appliance, needs within the regular hour, complete certain task.And specific task needs the electric energy consuming specified quantitative.Consider these factors, the model of wired home scheduling is set up as shown in formula (1) to formula (8):

$\min imize:\underset{t\∈T}{\Σ}(y_u^t\×c_u^t+e_s^t\×c_s^t)+b_c+I_c---\left(1\right)$

$\underset{a\∈A}{\Σ}{x}_a^T\≤L_a^T,\∀t\∈T---\left(2\right)$

$\underset{t\∈T}{\Σ}{x}_a^T\≤E_a^T,\∀a\∈A---\left(3\right)$

$x_a^T\≤P_a,\∀a\∈A,\∀t\∈T---\left(4\right)$

$\underset{a\∈A}{\Σ}{x}_a^T=y_b^T+y_s^T+y_u^T---\left(5\right)$

$y_s^T+z_s^T\≤e_s^T---\left(6\right)$

$b_c=\underset{t\∈T}{\Σ}{z}_s^T\×b_u^T---\left(8\right)$

In above modeling, the power of household electrical appliance a at period t, demand fulfillment namely household electrical appliance meet some requirements at the power consumption of whole period.Wherein, be the sun power at period t, the generation of sun power depends on the weather situation to a great extent, has uncertainty.

Summary of the invention

Dispatching method based on on-line tuning model provided by the invention, can the consumption of Accurate Prediction sun power.

According to an aspect of the present invention, a kind of dispatching method based on on-line tuning model is provided, comprises:

Online adjustment model is built by scheduling household electrical appliance;

Consume according to described on-line tuning model determination sun power.

The dispatching method based on on-line tuning model that the embodiment of the present invention provides, builds online adjustment model by scheduling household electrical appliance, predicts the consumption of sun power according to on-line tuning model exactly.

Accompanying drawing explanation

The dispatching method process flow diagram based on on-line tuning model that Fig. 1 provides for the embodiment of the present invention;

The method flow diagram of the on-line tuning model that Fig. 2 provides for the embodiment of the present invention.

Embodiment

Below in conjunction with accompanying drawing, the dispatching method based on on-line tuning model that the embodiment of the present invention provides is described in detail.

The dispatching method process flow diagram based on on-line tuning model that Fig. 1 provides for the embodiment of the present invention.

With reference to Fig. 1, in step S101, build online adjustment model by scheduling household electrical appliance.

In step S102, consume according to described on-line tuning model determination sun power.

Further, describedly build online adjustment model comprise by scheduling household electrical appliance:

The need for electricity change of setting user and sun power contrast prediction change;

The Power supply of described household electrical appliance is determined according to the size of the difference that described sun power contrast prediction changes and described need for electricity changes.

Further, the described size according to the difference that described sun power contrast prediction changes and described need for electricity changes determines that the Power supply of described household electrical appliance comprises:

Described difference is calculated according to formula (1):

$\mathrm{\Δ}P={\mathrm{\Δe}}_s^T-{\mathrm{\Δ\Σ}}_{a\∈A}{x}_a^T---\left(1\right)$

Wherein, Δ P is described difference, for described sun power contrast prediction change, for described need for electricity changes.

Further, described method also comprises:

If described difference is greater than the first numerical value, then uses solar recharging or supply described household electrical appliance.

Here, the first numerical value can be 0, namely during Δ P > 0, then use solar recharging or supply household electrical appliance.

Further, described method also comprises:

If described difference is less than described first numerical value, then use the electric energy in battery;

If the electric energy in described battery can not supply, then use the electric energy in electrical network.

Here, during Δ P < 0, then use the electric energy in battery.

Further, described method also comprises:

If described difference equals described first numerical value, then scheduling is used to separate.

Here, during Δ P=0, then use scheduling to separate, scheduling solution is obtained by linear programming relax, and linear programming relax is the model of wired home scheduling, specifically can see formula (1)-(8).

The dispatching method based on on-line tuning model that the embodiment of the present invention provides, builds online adjustment model by scheduling household electrical appliance, predicts the consumption of sun power according to on-line tuning model exactly.

The method flow diagram of the on-line tuning model that Fig. 2 provides for the embodiment of the present invention.

With reference to Fig. 2, in step S201, the need for electricity change of setting user and sun power contrast prediction change.

In step S202, judge the size of difference according to sun power contrast prediction change and need for electricity change, if Δ P > 0, then perform step S203; If Δ P < 0, then perform step S204; If Δ P=0, then perform step S205.

In step S203, use solar recharging or supply household electrical appliance.

In step S204, use the electric energy in battery.

In step S205, scheduling is used to separate.

The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; change can be expected easily or replace, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of described claim.

Claims (6)

1. based on a dispatching method for on-line tuning model, it is characterized in that, described method comprises:

Online adjustment model is built by scheduling household electrical appliance;

Consume according to described on-line tuning model determination sun power.

2. method according to claim 1, is characterized in that, is describedly built online adjustment model comprised by scheduling household electrical appliance:

The need for electricity change of setting user and sun power contrast prediction change;

The Power supply of described household electrical appliance is determined according to the size of the difference that described sun power contrast prediction changes and described need for electricity changes.

3. method according to claim 2, is characterized in that, the described size according to the difference that described sun power contrast prediction changes and described need for electricity changes determines that the Power supply of described household electrical appliance comprises:

Described difference is calculated according to following formula:

$\mathrm{\&Delta;}P={\mathrm{\&Delta;e}}_s^T-{\mathrm{\&Delta;\&Sigma;}}_{a\&Element;A}{x}_a^T$

Wherein, Δ P is described difference, for described sun power contrast prediction change, for described need for electricity changes.

4. method according to claim 3, is characterized in that, described method also comprises:

If described difference is greater than the first numerical value, then uses solar recharging or supply described household electrical appliance.

5. method according to claim 3, is characterized in that, described method also comprises:

If described difference is less than described first numerical value, then use the electric energy in battery;

If the electric energy in described battery can not supply, then use the electric energy in electrical network.

6. method according to claim 3, is characterized in that, described method also comprises:

If described difference equals described first numerical value, then scheduling is used to separate.