CN102751724A - Prediction-based three-phase load scheduling method and device responding to demand side - Google Patents

Abstract

The invention discloses a prediction-based three-phase load scheduling method and a device responding to a demand side. The device comprises a fine granularity prediction module, a comparison module and an analysis module, wherein the fine granularity prediction module is used for defining unbalance degree of three phases of loads and for performing the fine granularity prediction respectively for the three phases of loads according to the historical power load data; the comparison module is used for comparing a prediction result sum of the three phases of loads with a current power limitation index and for establishing a corresponding optimization model; and the analysis module is used for solving comprehensive optimum power limitation and compensation data of each phase according to the established optimization model so as to adjust the scheduling and complete the load scheduling.

Description

A kind of towards threephase load dispatching method and the device of Demand Side Response based on prediction

Technical field

The present invention relates to the power scheduling field, particularly be directed against a kind of towards the threephase load dispatching method and the device of Demand Side Response based on prediction.

Background technology

Along with China's constant development of economy, electricity needs grows with each passing day.Because limited, the factors such as the soil is nervous, transportation bottleneck restriction of fund, make to rely on extensive the construction to send out power supply facilities to alleviate the situation of shortage of electric power no longer actual.In addition, the influence of reasons such as the raw material that generated electricity are in short supply, environmental pollution relies on constantly the increase electric power method of production capacity of traditional generation mode more hard to carry on merely.Yet; Generation of electricity by new energy such as wind power generation, solar power generation technology is still immature; Can't solve problems such as energy energy density is low, generating hourage capable of using is few, wayward, cause emerging generation mode still can not substitute conventional power supply and remedy the electric power breach.But; When, electricity consumption electric load breach deficient at electric power resource increased, load factor constantly descended in the electrical network, and the load curve fluctuation obviously; Appearance peak times of power consumption resource anxiety and the energy waste of low power consumption phase and the phenomenon of depositing demand urgently adopting new mechanism to improve power consumption efficiency.Therefore, Demand Side Response mechanism is operated and is given birth to, and it disposes with the adjustment electric power resource, thereby reach the purpose that improves power consumption efficiency and guarantee the electrical power services low cost movement with price mechanism and incentive mechanism guiding Demand Side user rational utilization of electricity, science electricity consumption.

Yet, adopt Demand Side Response mechanism to carry out electric load and regulate, when improving power consumption efficiency, introduced extra electric load regulating measure, brought the threephase load imbalance problem for traditional electrical network.When threephase load is in the non-equilibrium state operation for a long time; Not only can reduce power supply quality; More can increase the loss of controller switching equipment and power circuit; Possibly cause the transmission line temperature too high and damage insulating barrier or cause the overheated equipment burnout that causes of distribution transformer when serious, threaten equipment and personal safety.

Therefore, the present invention combines the characteristic of Demand Side Response, proposes under a kind of Demand Side Response condition based on threephase load dispatching method and the device predicted; According to overall ration the power supply index and threephase load predicted value; Adopt different Optimization Model that threephase load is dispatched, draw concrete three-phase Demand Side Response index and each item scheduling strategy, when realizing minimizing degree of unbalance; Increase power consumption efficiency as far as possible, to reach the purpose of three-phase load optimization configuration.

Summary of the invention

Problem to be solved by this invention is to propose under a kind of Demand Side Response the threephase load dispatching method based on prediction, to overcome traditional three-phase dispatching method real-time difference and can't improve the deficiency of power consumption efficiency.This method has been taken all factors into consideration ageing, the threephase load power consumption efficiency and the tri-phase unbalance factor problem of scheduling, adopts to add the mode that dummy load and discrete type cut down to electrical network and carry out load dispatch.When improving power consumption efficiency, both reduced the threephase load degree of unbalance, can reasonably allocate controlled smart machine again.

The present invention disclose a kind of towards Demand Side Response based on the prediction the threephase load dispatching method, it is characterized in that, comprising:

Step 1, definition threephase load degree of unbalance according to historical electric load data, is carried out the fine granularity prediction to threephase load respectively;

Step 2 compares predict the outcome summation and the current index of rationing the power supply of threephase load, sets up corresponding Optimization Model;

Step 3 is found the solution each phase COMPREHENSIVE OPTIMAL based on the Optimization Model of being set up and is rationed the power supply and supplementary data, accomplishes the threephase load scheduling thereby dispatch adjustment.

Described towards the threephase load dispatching method of Demand Side Response based on prediction, said step 1 also comprises:

Being defined as of threephase load degree of unbalance

$\frac{\underset{n}{\mathrm{Max}}\left(L_n\right)-\underset{n}{\mathrm{Min}}\left(L_n\right)}{\underset{n}{\mathrm{Max}}\left(L_n\right)}\×100\%$

L wherein _nBe n phase load value in the threephase load,

Be load value maximum in the threephase load,

Be load value minimum in the threephase load.

Described towards the threephase load dispatching method of Demand Side Response based on prediction, said step 2 also comprises:

Step 31, when all three-phase power load prediction value summations constantly all less than correspondence rationing the power supply during index constantly, replenish the mode balanced three-phase load and maximization power consumption efficiency of forward dummy load, set up the Optimization Model of oneself;

Step 32, when all three-phase power load prediction value summations constantly all greater than correspondence rationing the power supply during index constantly, the reduction ratio of discrete type is regulated and control threephase load and power consumption efficiency, sets up the Optimization Model of oneself;

Step 33, when segmentation three-phase power load prediction value summation constantly when rationing the power supply index, the mode of segment processing is optimized load balance and power consumption efficiency with rationing the power supply constantly.

Described towards the threephase load dispatching method of Demand Side Response based on prediction, said step 33 also comprises:

Step 41 when prediction three-phase load summation does not surpass when rationing the power supply index, adopts step 31;

Step 42 adopts step 32 to be optimized and exceed the index of rationing the power supply constantly, wherein adopts the regulation and control time that prolongs reduction type DR strategy, prevents the generation of the pernicious growth phenomenon of load after the DR response finishes.

Described towards the threephase load dispatching method of Demand Side Response based on prediction, said step 3 also comprises:

Step 51 when execution in step 31, uses variable-metric method to be optimized object solving;

Step 52 when execution in step 32, is used the method for traversal, solves to satisfy the three-phase reduction index that degree of unbalance requires and power consumption efficiency is the highest;

Step 53, when execution in step 33, employing is used step 31,32 to find the solution mode respectively the mode of scheduling slot segment processing and is found the solution.

The present invention discloses a kind of towards the threephase load dispatching device of Demand Side Response based on prediction, comprising:

The fine granularity prediction module is used to define the threephase load degree of unbalance, according to historical electric load data, respectively the fine granularity prediction is carried out in threephase load;

The contrast module is used for predict the outcome summation and the current index of rationing the power supply of threephase load compared, and sets up corresponding Optimization Model;

Parsing module is used for finding the solution each phase COMPREHENSIVE OPTIMAL based on the Optimization Model of being set up and rations the power supply and supplementary data, accomplishes the threephase load scheduling thereby dispatch adjustment.

Described towards the threephase load dispatching device of Demand Side Response based on prediction, said fine granularity prediction module also comprises:

Being defined as of threephase load degree of unbalance

$\frac{\underset{n}{\mathrm{Max}}\left(L_n\right)-\underset{n}{\mathrm{Min}}\left(L_n\right)}{\underset{n}{\mathrm{Max}}\left(L_n\right)}\×100\%$

L wherein _nBe n phase load value in the threephase load,

Be load value maximum in the threephase load,

Be load value minimum in the threephase load.

Described towards the threephase load dispatching device of Demand Side Response based on prediction, said contrast module also comprises:

The dummy load module, be used for when all three-phase power load prediction value summations constantly all less than correspondence rationing the power supply during index constantly, replenish the mode balanced three-phase load and maximization power consumption efficiency of forward dummy load, set up the Optimization Model of oneself;

The discrete type module, be used for when all three-phase power load prediction value summations constantly all greater than correspondence rationing the power supply during index constantly, the reduction ratio of discrete type is regulated and control threephase load and power consumption efficiency, sets up the Optimization Model of oneself;

Segmentation is processing module constantly, be used for when segmentation three-phase power load prediction value summation constantly when rationing the power supply index, the mode of the moment segment processing of rationing the power supply is optimized load balance and power consumption efficiency.

Described towards the threephase load dispatching device of Demand Side Response based on prediction, said segmentation analysis module constantly also comprises:

The module that do not exceed standard is used for not surpassing when rationing the power supply index when prediction three-phase load summation, adopts the dummy load module;

The module that exceeds standard is used to exceed the index of rationing the power supply and adopts the discrete type module to be optimized constantly, wherein adopts the regulation and control time that prolongs reduction type DR strategy, prevents the generation of the pernicious growth phenomenon of load after the DR response finishes.

Described towards the threephase load dispatching device of Demand Side Response based on prediction, said parsing module also comprises:

The optimization aim module is used for when carrying out the dummy load module, uses variable-metric method to be optimized object solving;

Spider module is used for when carrying out the discrete type module, using the method for traversal, solves to satisfy the three-phase reduction index that degree of unbalance requires and power consumption efficiency is the highest;

The segment processing module is used for when execution segmentation moment processing module, adopting and using dummy load module, discrete type module to find the solution mode and find the solution respectively the mode of scheduling slot segment processing.

Beneficial effect of the present invention is:

Adopt the present invention to carry out the electric load scheduling, can effectively solve the power consumption efficiency that the threephase load imbalance problem can guarantee threephase load again, and adopt prediction data threephase load to be dispatched truly feasible through the experiment proof.

Description of drawings

Fig. 1 dispatches three-phase load actual value and predicted value contrast;

Fig. 2 strategy 1 scheduling back degree of unbalance scheduling result;

Fig. 3 strategy 1 scheduling back power consumption efficiency scheduling result;

Fig. 4 strategy 2 scheduling back degree of unbalance scheduling result;

Fig. 5 strategy 2 scheduling back power consumption efficiency scheduling result;

Fig. 6 index and prediction data contrast of rationing the power supply;

Fig. 7 strategy 3 scheduling back degree of unbalance scheduling result;

Fig. 8 strategy 3 scheduling back power consumption efficiency scheduling result;

Fig. 9 is that the present invention is towards the threephase load scheduling flow figure of Demand Side Response based on prediction.

Embodiment

Provide embodiment of the present invention below, the present invention has been made detailed description in conjunction with accompanying drawing.

The main feature of this dispatching method is following:

For guaranteeing feasibility, foresight and the actual effect of dispatching method, dispatching method is all based on the high-precision forecast data.This dispatching method has been optimized two electric load indexs of power consumption efficiency and tri-phase unbalance factor simultaneously through index and the prediction data result relatively that rations the power supply.And this method configuration scheduling cycle is 1 day, thereby has not only guaranteed the stable operation of electrical network but also can effectively reduce the accumulated error of load prediction.In addition, because the dummy load of in electrical network, adding can turn to controlled smart machine by actual physics, so dispatching method has more practical significance.

This dispatching method may further comprise the steps:

Step 1 carries out the fine granularity high-precision forecast to threephase load respectively according to the electric load data of history.High-precision forecast is the basis of scheduling just, and three strategies in the invention are to use prediction data to dispatch.

Step 2 is with threephase load summation and the current index contrast of rationing the power supply that predicts the outcome; When each constantly predicted value summation when rationing the power supply index; Adopt scheduling strategy 1, use dummy load that threephase load is replenished, to reach the optimization power consumption efficiency and to minimize the optimization aim of degree of unbalance.And adopt strategy 2 during index less than rationing the power supply of current time when predicted value; Use the efficiency rank (as: reducing by 10%, 20%, 30% electricity consumption) of discrete type; Produce the DR order (being three-phase electric load reduction separately) after dispatching,, reach load balance to cut down threephase load.And when the index of rationing the power supply has only certain several moment to be lower than the prediction power load, adopt strategy 3, the scheduling slot segment processing is carried out scheduling strategy.

Step 3 carries out model solution according to the Optimization Model of setting up

1. when strategy 1 is adopted, use variable-metric method to be optimized object solving

2. when tactful 2 are adopted, use the method for traversal, solve and satisfy the three-phase reduction index that degree of unbalance requires and power consumption efficiency is the highest

When strategy 3 when being adopted, adopt with the mode of scheduling slot segment processing respectively the mode of finding the solution of usage policy 1,2 find the solution

Threephase load degree of unbalance of the present invention defines as follows:

$\frac{\underset{n}{\mathrm{Max}}\left(L_n\right)-\underset{n}{\mathrm{Min}}\left(L_n\right)}{\underset{n}{\mathrm{Max}}\left(L_n\right)}\×100\%$

L wherein _nBe n phase load value in the threephase load,

Be load value maximum in the threephase load,

Be load value minimum in the threephase load, n is the phase sequence number of three-phase electricity, and n=1 represents first phase, and n=2 represents second phase, and n=3 represents third phase.

At first, when all three-phase power load prediction value summations constantly all less than correspondence rationing the power supply during index constantly;

Adopt strategy 1, in three phase network, replenish the mode balanced three-phase load and maximization power consumption efficiency of forward dummy load.Optimization Model is following:

$\min \underset{i=1}{\overset{T}{\mathrm{\Σ}}}\{P(t+i)-\underset{n=1}{\overset{3}{\mathrm{\Σ}}}(L_n^{t+i}+{\mathrm{\ΔL}}_n^t)\}$

$\min \underset{i=1}{\overset{T}{\mathrm{\Σ}}}\frac{\underset{n}{\mathrm{Max}}(L_n^{t+i}+{\mathrm{\ΔL}}_n^t)-\underset{n}{\mathrm{Min}}(L_n^{t+i}+{\mathrm{\ΔL}}_n^t)}{\underset{n}{\mathrm{Max}}(L_n^{t+1}+{\mathrm{\ΔL}}_n^t)}\×100\%$

$\begin{array}{cc}s.t.& \underset{n=1}{\overset{3}{\mathrm{\Σ}}}(L_n^{t+i}+{\mathrm{\ΔL}}_n^t)\≤P(t+i)\end{array}$

$\begin{array}{cc}s.t.& {\mathrm{\ΔL}}_n^t\≥0\end{array}$

T is the current time value; T is the load balance scheduling cycle; T only needs to get final product greater than 0 theoretically; But for guaranteeing the precision of prediction data; Usually the T value is unsuitable excessive; In the subsequent experimental of the present invention, when the cycle value is T=24, the t+i threephase load constantly that produces for the applied load prediction algorithm;

is the virtual threephase load of system call, and P (t+i) is (t+i) index of rationing the power supply constantly.Model constrained condition must not surpass the corresponding index of constantly rationing the power supply for each total load constantly and dummy load summation; In addition; Because dummy load is the variable that is taken out by controlled power consumption equipment, thus its value for just, wherein i is the moment sequence number 0≤i≤T among T dispatching cycle.

Secondly, when all three-phase power load prediction value summations constantly all greater than correspondence rationing the power supply during index constantly

Adopt the reduction ratio (as: reducing by 10%, 20%, 30% electric weight) of tactful 2 discrete types that threephase load and power consumption efficiency are regulated and control, Optimization Model is following:

$\min \underset{i=1}{\overset{T}{\mathrm{\Σ}}}\{P(t+i)-L_n^{t+i}\×(1-R_n^t)\}$

$\min \underset{i=1}{\overset{T}{\mathrm{\Σ}}}\frac{\underset{n}{\mathrm{Max}}[L_n^{t+i}\×(1-R_n^t)]-\underset{n}{\mathrm{Min}}[L_n^{t+i}\×(1-R_n^t)]}{\underset{n}{\mathrm{Max}}[L_n^{t+i}\×(1-R_n^t)]}\×100\%$

$\begin{array}{cc}s.t.& \underset{n=1}{\overset{3}{\mathrm{\Σ}}}[L_n\×(1-R_n^t)]\≤P(t+i)\end{array}$

is the reduction percentage of n phase in the formula.

At last, when having only some three-phase power load prediction value summation constantly when rationing the power supply index;

Adopt strategy 3, the mode of the moment segment processing of rationing the power supply is optimized load balance and power consumption efficiency.When prediction three-phase load summation does not surpass when rationing the power supply index, adopt strategy 1, adopt strategy 2 to be optimized constantly and exceed the index of rationing the power supply.For stability, foresight and the feasibility that guarantees electrical network, the present invention adopts the regulation and control time that prolongs reduction type DR strategy (i.e. strategy 2), prevents the generation of the pernicious phenomenon of load after the DR response finishes.

Model solution

When strategy 1 is used, comprise a plurality of optimization aim in the Optimization Model, the present invention takes the main target method, and the power consumption efficiency optimization aim is converted into constraints, makes it need greater than 80%.In addition; Also use max function in the Optimization Model; And it is too high that model exists the mode of directly utilization traversal of three-dimensional unknown number

or grid search to seek global optimum's time complexity; Therefore the present invention reduces the Constraint Anchored Optimization that multidimensional nonlinear is planned with Optimization Model, adopts variable-metric method and feasible direction method solving-optimizing function.Because variable-metric method is to begin progressively to search for optimizing by the initial point of setting, so select suitable initial point that Optimization result is had very big influence.Therefore the present invention disperses feasible zone according to accuracy requirement and is K ³Individual initialization points is optimized optimizing, is absorbed in the possibility of local optimum to avoid single initialization points.

In addition, algorithm model is the Optimization Model that has constraints, and the present invention uses feasible direction method to be optimized object solving.Feasible method regulation, in the iterative process of calculation optimization function, initialization points is necessary for feasible point, and set out thus the next optimized point that obtains also need in feasible zone, can guarantee that so then optimize results is in also feasible zone.

To find the solution false code following for tactful 1 scheduling model among the present invention:

Calculate feasible zone, and be K3 initialization points, L [K3] [3] with feasible zone is discrete

1, initialization:

ε: parameter, expression algorithmic statement criterion

The gradient of gm: function f m (x)

Hm: breathe out gloomy matrix, expression formula is suc as formula (17)

I3: constant, represent 3 rank unit matrixs

2, input: the data point L [K3] [3] under three loads

3, output: arg x{opt f (x) }

4, algorithmic procedure:

Take the reduction ratio of discrete type that threephase load is regulated and control in the strategy 2, adopt the main target method to find the solution multiple-objection optimization equally, the degree of unbalance target is converted into restrictive condition, regulation degree of unbalance summation can not be greater than 15%, and solution procedure is following:

1, initialization: minp=∞, R={r1, r2, r3|ri=0:0.1:1}

2, input: Ln

3, export: opt (r1, r2, r3)

4, algorithmic procedure:

Strategy 3 is combined strategies of strategy 1 and strategy 2.For preventing that reduction type Demand Side Response from finishing the malice rebound phenomena of afterload, the present invention takes respectively prolonging a moment point before and after reduction type scheduling strategy (the i.e. strategy 2) scheduling constantly.

The present invention uses certain sub-district data one day to carry out the balance scheduling, and sketch map is as shown in Figure 1 as a result for scheduling three-phase data prediction.

The scheduling strategy when index of rationing the power supply all is higher than the prediction load value

If each index of rationing the power supply constantly all is higher than corresponding threephase load predicted value constantly, then adopt the mode balanced three-phase load and the adjustment power consumption efficiency that add dummy load.Adopt 1 pair of prediction data of strategy to dispatch, scheduling result is like table 1, shown in 2.

Table 2 uses the data of unscheduled and compares based on the scheduling result of predicting, can draw from comparing result, and scheduling back degree of unbalance has on average reduced by 5.9%, and power consumption efficiency has promoted 25.83% before then dispatching.When rationing the power supply index when each all is higher than three-phase prediction load summation constantly, usage policy 1 scheduling threephase load can significantly promote the power consumption efficiency of three-phase load and the degree of unbalance of reduction threephase load in theory.

In fact, because the scheduler object of strategy 1 is the dummy load in the three phase network, Demand Side user need not make any response, only needs energy storage device or charging device to make respective reaction and gets final product, and scheduling strategy can't have influence on the user power utilization level.Therefore the present invention uses the Demand Side electricity consumption real data of unscheduled, and scheduling strategy is verified.Use the actual three-phase power load of this day unscheduled to add the scheduling load that usage policy 1 draws; Compare with using the scheduling result under the prediction data ideal situation; The result is like table 2 and Fig. 2, shown in 3; No-schedule wherein: if for not using any scheduling strategy, this day True Data the electricity consumption situation.

The result shows, when the index of rationing the power supply during greater than the threephase load summation, the basically identical as a result behind the data dispatch of prediction data and unscheduled uses prediction data to carry out the threephase load balance thus and the power consumption efficiency optimized dispatching is feasible.

Table 1 usage policy 1 carries out load scheduling

Table 2 usage policy 1 scheduling result

* the SBP representative is based on the scheduling of prediction data, and SBF stand for schedule based on fact data representative uses actual electricity consumption data to dispatch

The scheduling strategy when index of rationing the power supply all is lower than the prediction load value

When each index of rationing the power supply constantly all greater than three-phase predicted value summation, then 2 pairs of prediction data of usage policy are dispatched, the result is as shown in table 3, total contrast is as shown in table 4 before and after the scheduling.

From table 4, draw,, adopt strategy 2 to dispatch, under the ideal situation, can when reducing degree of unbalance, power consumption efficiency dropped in 100% when the index of rationing the power supply during all less than the threephase load summation.Suppose that the Demand Side user rings according to response policy, the result is like table 4 and Fig. 4, shown in 5.

The result shows, when ration the power supply index each constantly all greater than the situation of predicting the threephase load summation under, usage policy 2 can effectively reduce the threephase load degree of unbalance, power consumption efficiency then can reach more than 90%.When the Demand Side Response user really according to the electricity consumption behavior of reduction ratio adjustment self, can receive good dispatching effect, verified the feasibility of using prediction data scheduling threephase load.

Table 3 usage policy 2 carries out load scheduling

Table 4 usage policy 2 scheduling result

The scheduling strategy when index of rationing the power supply is interspersed with the prediction load value

When the index of rationing the power supply had only some to surpass threephase load prediction total value constantly, the method that the present invention adopts strategy 3 that data sementation is handled was dispatched threephase load.The index of rationing the power supply and prediction data relation are as shown in Figure 6.

The mode that the present invention takes to prolong tactful 3 scheduling times reduces because the pernicious rebound phenomena that prediction data error and DR scheduling back electric power data produce.To cut down and respectively prolong 1 moment point before and after the period and dispatch, scheduling result table 5, shown in 6.

Can find out that from scheduling front and back correction data strategy 3 is remarkable in effect aspect the reduction threephase load degree of unbalance; But have influence on the raising of the power consumption efficiency after the scheduling owing to the prolongation reduction of taking is machine-processed; But estimate power consumption efficiency from the angle of each moment point; Then exceed the load of the index of rationing the power supply before the scheduling, dropped under the index of rationing the power supply.

Likewise, the present invention supposes the Demand Side Response user, and cut down constantly can the order of automatic or manual response Demand Side Response rationing the power supply, and then scheduling result is to such as table 6 and Fig. 7, shown in 8.

Can draw from Fig. 7, after usage policy 3 scheduling, all moment point degree of unbalance are all less than 15%, and most of moment point scheduling back degree of unbalance is less than the preceding moment point degree of unbalance of scheduling.Can draw from Fig. 8 in addition; Though it is very few that the total power consumption efficiency in scheduling back promotes, the electricity consumption data of all moment point of scheduling back have not only reduced the electricity consumption degree of unbalance all less than the index of rationing the power supply; And when promoting power consumption efficiency, guaranteed the even running of electrical network.If Demand Side user can respond according to the DR order, then can reach the prediction dispatching effect, verified and used prediction data to carry out the feasibility of threephase load scheduling.

Table 5 usage policy 3 carries out load dispatch

Table 6 usage policy 3 scheduling result

Experimental result shows, adopts the method for this patent to carry out the electric load scheduling, can effectively solve the power consumption efficiency that the threephase load imbalance problem can guarantee threephase load again, and adopt prediction data threephase load to be dispatched truly feasible through the experiment proof.

As shown in Figure 9, the present invention discloses a kind of towards the threephase load dispatching device of Demand Side Response based on prediction, comprising:

Fine granularity prediction module 10 is used to define the threephase load degree of unbalance, according to historical electric load data, respectively the fine granularity prediction is carried out in threephase load;

Contrast module 20 is used for predict the outcome summation and the current index of rationing the power supply of threephase load compared, and sets up corresponding Optimization Model;

Parsing module 30 is used for finding the solution each phase COMPREHENSIVE OPTIMAL based on the Optimization Model of being set up and rations the power supply and supplementary data, accomplishes the threephase load scheduling thereby dispatch adjustment.

Described towards the threephase load dispatching device of Demand Side Response based on prediction, said fine granularity prediction module also comprises:

Being defined as of threephase load degree of unbalance

$\frac{\underset{n}{\mathrm{Max}}\left(L_n\right)-\underset{n}{\mathrm{Min}}\left(L_n\right)}{\underset{n}{\mathrm{Max}}\left(L_n\right)}\×100\%$

L wherein _nBe n phase load value in the threephase load,

Be load value maximum in the threephase load,

Be load value minimum in the threephase load.

Described towards the threephase load dispatching device of Demand Side Response based on prediction, said contrast module also comprises:

The dummy load module, be used for when all three-phase power load prediction value summations constantly all less than correspondence rationing the power supply during index constantly, replenish the mode balanced three-phase load and maximization power consumption efficiency of forward dummy load, set up the Optimization Model of oneself;

The discrete type module, be used for when all three-phase power load prediction value summations constantly all greater than correspondence rationing the power supply during index constantly, the reduction ratio of discrete type is regulated and control threephase load and power consumption efficiency, sets up the Optimization Model of oneself;

Segmentation is processing module constantly, be used for when segmentation three-phase power load prediction value summation constantly when rationing the power supply index, the mode of the moment segment processing of rationing the power supply is optimized load balance and power consumption efficiency.

Described towards the threephase load dispatching device of Demand Side Response based on prediction, said segmentation analysis module constantly also comprises:

The module that do not exceed standard is used for not surpassing when rationing the power supply index when prediction three-phase load summation, adopts the dummy load module;

The module that exceeds standard is used to exceed the index of rationing the power supply and adopts the discrete type module to be optimized constantly, wherein adopts the regulation and control time that prolongs reduction type DR strategy, prevents the generation of the pernicious phenomenon of load after the DR response finishes.

Described towards the threephase load dispatching device of Demand Side Response based on prediction, said parsing module also comprises:

The optimization aim module is used for when carrying out the dummy load module, uses variable-metric method to be optimized object solving;

Spider module is used for when carrying out the discrete type module, using the method for traversal, solves to satisfy the three-phase reduction index that degree of unbalance requires and power consumption efficiency is the highest;

The segment processing module is used for when execution segmentation moment processing module, adopting and using dummy load module, discrete type module to find the solution mode and find the solution respectively the mode of scheduling slot segment processing.

Those skilled in the art can also carry out various modifications to above content under the condition that does not break away from the definite the spirit and scope of the present invention of claims.Therefore scope of the present invention is not limited in above explanation, but confirm by the scope of claims.

Claims (10)

1. One kind towards Demand Side Response based on the prediction the threephase load dispatching method, it is characterized in that, comprising:

   Step 1, definition threephase load degree of unbalance according to historical electric load data, is carried out the fine granularity prediction to threephase load respectively;

   Step 2 compares predict the outcome summation and the current index of rationing the power supply of threephase load, sets up corresponding Optimization Model;

   Step 3 is found the solution each phase COMPREHENSIVE OPTIMAL based on the Optimization Model of being set up and is rationed the power supply and supplementary data, accomplishes the threephase load scheduling thereby dispatch adjustment.
2. 2. as claimed in claim 1 towards the threephase load dispatching method of Demand Side Response based on prediction, it is characterized in that said step 1 also comprises:

   Being defined as of threephase load degree of unbalance

   $\frac{\underset{n}{\mathrm{Max}}\left(L_n\right)-\underset{n}{\mathrm{Min}}\left(L_n\right)}{\underset{n}{\mathrm{Max}}\left(L_n\right)}\×100\%$

   L wherein _nBe n phase load value in the threephase load, Be load value maximum in the threephase load,

   

   Be load value minimum in the threephase load.
3. 3. as claimed in claim 1 towards the threephase load dispatching method of Demand Side Response based on prediction, it is characterized in that said step 2 also comprises:

   Step 31, when all three-phase power load prediction value summations constantly all less than correspondence rationing the power supply during index constantly, replenish the mode balanced three-phase load and maximization power consumption efficiency of forward dummy load, set up the Optimization Model of oneself;

   Step 32, when all three-phase power load prediction value summations constantly all greater than correspondence rationing the power supply during index constantly, the reduction ratio of discrete type is regulated and control threephase load and power consumption efficiency, sets up the Optimization Model of oneself;

   Step 33, when segmentation three-phase power load prediction value summation constantly when rationing the power supply index, the mode of segment processing is optimized load balance and power consumption efficiency with rationing the power supply constantly.
4. 4. as claimed in claim 3 towards the threephase load dispatching method of Demand Side Response based on prediction, it is characterized in that said step 33 also comprises:

   Step 41 when prediction three-phase load summation does not surpass when rationing the power supply index, adopts step 31;

   Step 42 adopts step 32 to be optimized and exceed the index of rationing the power supply constantly, wherein adopts the regulation and control time that prolongs reduction type DR strategy, prevents the generation of the pernicious phenomenon of load after the DR response finishes.
5. 5. as claimed in claim 4 towards the threephase load dispatching method of Demand Side Response based on prediction, it is characterized in that said step 3 also comprises:

   Step 51 when execution in step 31, uses variable-metric method to be optimized object solving;

   Step 52 when execution in step 32, is used the method for traversal, solves to satisfy the three-phase reduction index that degree of unbalance requires and power consumption efficiency is the highest;

   Step 53, when execution in step 33, employing is used step 31,32 to find the solution mode respectively the mode of scheduling slot segment processing and is found the solution.
6. One kind towards Demand Side Response based on the prediction the threephase load dispatching device, it is characterized in that, comprising:

   The fine granularity prediction module is used to define the threephase load degree of unbalance, according to historical electric load data, respectively the fine granularity prediction is carried out in threephase load;

   The contrast module is used for predict the outcome summation and the current index of rationing the power supply of threephase load compared, and sets up corresponding Optimization Model;

   Parsing module is used for finding the solution each phase COMPREHENSIVE OPTIMAL based on the Optimization Model of being set up and rations the power supply and supplementary data, accomplishes the threephase load scheduling thereby dispatch adjustment.
7. 7. as claimed in claim 1 towards the threephase load dispatching device of Demand Side Response based on prediction, it is characterized in that said fine granularity prediction module also comprises:

   Being defined as of threephase load degree of unbalance

   $\frac{\underset{n}{\mathrm{Max}}\left(L_n\right)-\underset{n}{\mathrm{Min}}\left(L_n\right)}{\underset{n}{\mathrm{Max}}\left(L_n\right)}\×100\%$

   L wherein _nBe n phase load value in the threephase load,

   

   Be load value maximum in the threephase load,

   

   Be load value minimum in the threephase load.
8. 8. as claimed in claim 1 towards the threephase load dispatching device of Demand Side Response based on prediction, it is characterized in that said contrast module also comprises:

   The dummy load module, be used for when all three-phase power load prediction value summations constantly all less than correspondence rationing the power supply during index constantly, replenish the mode balanced three-phase load and maximization power consumption efficiency of forward dummy load, set up the Optimization Model of oneself;

   The discrete type module, be used for when all three-phase power load prediction value summations constantly all greater than correspondence rationing the power supply during index constantly, the reduction ratio of discrete type is regulated and control threephase load and power consumption efficiency, sets up the Optimization Model of oneself;

   Segmentation is processing module constantly, be used for when segmentation three-phase power load prediction value summation constantly when rationing the power supply index, the mode of the moment segment processing of rationing the power supply is optimized load balance and power consumption efficiency.
9. 9. as claimed in claim 8ly it is characterized in that towards the threephase load dispatching device of Demand Side Response said segmentation analysis module constantly also comprises based on prediction:

   The module that do not exceed standard is used for not surpassing when rationing the power supply index when prediction three-phase load summation, adopts the dummy load module;

   The module that exceeds standard is used to exceed the index of rationing the power supply and adopts the discrete type module to be optimized constantly, wherein adopts the regulation and control time that prolongs reduction type DR strategy, prevents the generation of the pernicious phenomenon of load after the DR response finishes.
10. 10. as claimed in claim 9 towards the threephase load dispatching device of Demand Side Response based on prediction, it is characterized in that said parsing module also comprises:

    The optimization aim module is used for when carrying out the dummy load module, uses variable-metric method to be optimized object solving;

    Spider module is used for when carrying out the discrete type module, using the method for traversal, solves to satisfy the three-phase reduction index that degree of unbalance requires and power consumption efficiency is the highest;

    The segment processing module is used for when execution segmentation moment processing module, adopting and using dummy load module, discrete type module to find the solution mode and find the solution respectively the mode of scheduling slot segment processing.

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