CN103325009A - Control and charge calculation method for power grid power load peak shift in short supply situation - Google Patents

Abstract

The invention relates to a control and charge calculation method for power grid power load peak shift in a short supply situation, and belongs to the technical field of power grid power control. The control and charge calculation method for the power grid power load peak shift in the short supply situation comprises the steps that power consumers submit data of power consuming curves and data of peak shift quotation curves to a power grid company; the power grid company builds a power load peak shift optimizing model according to the data, submitted by the power consumers, of the power consuming curves and the data, submitted by the power consumers, of the peak shift quotation curves; the power load peak shift optimizing model is solved to obtain an optimum control plan of the power consumer peak shift, and peak shift control signals are sent to all the power consumers; the power consumers carry out load peak shift according to the peak shift control signals sent by the power grid company; after power load peak shift is completed, charges of the power consumers involved in the peak shift are shared by power consumers not involved in the peak shift. The control and charge calculation method for the power grid power load peak shift in the short supply situation can improve evenness of the spatial and temporal distribution of power load, and thus power resources are made to be utilized more sufficiently. Precision control of the power grid company over the power consumer peak shift according to needs can be achieved, and the control and charge calculation method for the power grid power load peak shift in the short supply situation has important practical significance and good application prospects.

Description

Electric load moves the peak in electrical network supply falls short of demand the situation control and expense computing method

Technical field

The invention belongs to grid power control technology field, control and expense computing method that particularly electric load moves the peak in electrical network supply falls short of demand the situation.

Background technology

Demand Side Management (Demand side management, DSM) refer to electric power enterprise for the power mode that affects power consumer, improve the homogeneity of electric load spatial and temporal distributions and planning and the measure of formulating.20 century 70s, the U.S. begins to take to suppress the control measures of energy-consuming in order to tackle energy crisis, develop into gradually the duty control method of peak load shifting to the eighties.By 1984, American Electric Power research institute (EPRI) clearly proposed first dsm concept (Clark W G.Then and now:The perspective of the man who coined theterm'DSM'[J] .Energy Policy, 1996,24 (4), 285-288), caused the attention of various circles of society.

The main forms of power consumer participation dsm mainly is divided into peak clipping, fills out paddy and peak load shifting three major types as shown in Figure 1.Peak clipping is mainly initiatively cut down need for electricity to reduce the electrical network peak load by power consumer in the peak load period, shown in Fig. 1-a, the highest electric load is cut down to dotted line.Fill out paddy and usually adopt various energy storage technologies, the electric energy of storage load valley period can also utilize the measure of price equal excitation to satisfy the electricity needs of peak load period, encourages power consumer to increase the electricity consumption of load valley period, shown in Fig. 1-b, minimum electric load is lifted to more than the dotted line.Peak load shifting is peak clipping and the combination of filling out paddy, the method is transferred to low-valley interval with the load of part peak load period, on the basis that does not affect the power consumer power consumption, make grid load curve milder, reduce the electric load peak-valley difference, thereby promote security and the economy of operation of power networks, shown in Fig. 1-c, electric load more than load dotted line peak period is transferred to low-valley interval, thereby the electric load of low-valley interval is lifted to more than the dot-and-dash line.

In existing dsm, most of control method is based on price signal and Load demand elasticity coefficient.Existing research (David A K, intersegmental factor is on the impact of Spot Price during Li Y Z.Effect of inter-temporal factors on the real time pricing of electricity() .IEEE Transactions on Power Systems, 1993,8 (1): 44-52) propose a kind of duty control method based on the customer charge Demand Elasticity Coefficient, the method comprises three modules: optimal load flow (Optimal Power Flow, OPF) computing module, the electricity price computing module is based on the load adjustment module of customer charge Demand Elasticity Coefficient.This control method is at first determined generating and load by the optimal load flow module, then calculates electricity price according to the balance of generating and load, then based on customer charge Demand Elasticity Coefficient adjustment load, feeds back to the optimal load flow computing module.This control method need to through the iteration between three computing modules, easily cause the vibration of control effect.Kirschen D S(Kirschen D S, Strbac G, Cumperayot P, et al.Factoring the elasticity of demand in electricity prices(decomposes elasticity of demand in electricity price) .IEEETransactions on Power Systems, 2000,15 (2): 612-617) on the basis of David A K research work, a kind of duty control method based on the customer charge Demand Elasticity Coefficient is proposed, the method comprises three modules: Unit Combination (Unit Commitment, UC) computing module, the electricity price computing module is based on the load adjustment module of customer charge Demand Elasticity Coefficient.This control method is at first determined generating and load by the Unit Combination module, then calculates electricity price according to the balance of generating and load, then based on customer charge Demand Elasticity Coefficient adjustment load, feeds back to the Unit Combination computing module.The maximum difference of the control method that this control method and David A K propose is that the optimal load flow computing module is replaced with the Unit Combination module, and in addition, electricity price is based on that the actual rule of Britain's electricity market calculates.The advantage of this class control method is can explicitly to express the relation between workload demand and the price.Yet, the difficulty of this class control method is: (1) control effect depends on the accuracy of customer charge Demand Elasticity Coefficient, and the difficult Load demand elasticity coefficient that accurately obtains power consumer in practice generally can only obtain by a large amount of investigation statistics; (2) result of this class control method has certain uncertainty, overregulating and the less stress joint of electric load may occur, easily causes the vibration of control effect, is unfavorable for realizing the accurate control of electric load; What (3) this class control method was difficult to realize power consumer that the electricity consumption curve shape is fixing moves peak control effect.

In the traditional demand Side Management of China, method commonly used comprises: ordered electric, time-of-use tariffs etc.In the ordered electric method, grid company often rule of thumb, be in arrears with simply the situation such as electricity payment according to classification of power customers, power consumer and formulate the scheme of rationing the power supply, and assign enforcement in the mode of administrative decree, do not take into full account power consumer self electricity consumption wish and electricity consumption constraint, this usually causes power consumer to the discontented mood that power supply enterprise rations the power supply, and is unfavorable for making up harmonious power supply environment.In the time-of-use tariffs method, grid company is made no exception to all power consumers, and the electricity consumption wish of different power consumers is different, and the ability of bearing price change is different, all power consumers are adopted unified price, be unfavorable for encouraging the user initiatively to participate in dsm.

In the situation that electric power supply falls short of demand, form price if rely on the electric energy supplydemand relationship fully, then the Generation Side administered price of will having the ability causes electricity price to raise up.Existing research (Xia Ye, Kang Chongqing, Ningbo etc. power consumer side interactive model issues the electricity consumption integrated scheduling plan. Automation of Electric Systems .2012,36 (1): 17-23) proposed the interactive model that the power consumer side participates in power generation dispatching, moved peak quotation and settlement method for what dsm provided a kind of power consumer.The peak expense of moving of power consumer is born by grid company in the method, and power consumer will tend to high quoting, and this will cause the peak quotation of moving of power consumer to depart from it and move really the peak cost; And power consumer truly move the private information that the peak cost is power consumer, grid company can't be known.In the situation that have information asymmetry between grid company and the power consumer, the method can't solve power consumer and move the peak quotation and truly move the problem that the peak cost deviates from.

Therefore, the current demand Side Management of China is in the urgent need to finding a kind of electric load moves the peak in electrical network supply falls short of demand situation control and expense computing method, the grid company power consumer that moves the peak that lets on is received more tangible benefits, allow the power consumer that does not participate in moving the peak pay for, thereby for a kind of practicable method is found in the interaction of supporting intelligent grid, to advancing the enforcement of Electricity Demand side management and energy-saving and emission-reduction policy, the gross domestic product (GDP) generation vital role of creating improving China's unit of electrical energy.

Summary of the invention

The present invention is intended to improve the homogeneity of electric load spatial and temporal distributions for the problems referred to above provide electrical network supply falls short of demand control and the expense computing method that electric load moves the peak in the situation, and electric power energy is utilized more fully; And implementing load for grid company moves the peak science, efficient, the rational method of moving the peak quotation of submitting to of excitation power consumer is provided.

The control method that electric load moves the peak in the electrical network that the present invention proposes supply falls short of demand the situation is characterized in that, may further comprise the steps:

S1. power consumer a few days ago according to next day control cycle production schedule arrangement and load move the cost that the peak needs are additionally paid, the data of submitting the electricity consumption curve to and moving the peak offer curve to grid company;

S2. grid company is set up the Optimized model that power consumer moves the peak according to power consumer the electricity consumption curve of submitting to and the data of moving the peak offer curve, and this Optimized model is comprised of objective function and constraint condition, comprises the steps:

1) make up the objective function that power consumer moves the peak Optimized model, expression formula is as follows:

$\min \underset{h=1}{\overset{H}{\mathrm{\Σ}}}\underset{t=1}{\overset{T}{\mathrm{\Σ}}}({\mathrm{\α}}_{h,t}{F}_{h,t}+{\mathrm{\π}}_t{D}_{h,t})$

Wherein, h is the subscript of power consumer, and H is the power consumer number, and t is the subscript of control time, hop count when T is control cycle, α _{H, t}Be power consumer h whether since the 0-1 integer variable of period t electricity consumption, F _{H, t}What be power consumer h since period t electricity consumption moves peak expense, π _tThe tou power price of period t, D _{H, t}Be the electric power of power consumer h period t, α _{H, t}And D _{H, t}It is the control variable of this Optimized model;

2) establish the constraint condition that power consumer moves the peak Optimized model, expression formula is as follows:

(I) fixedly electricity consumption curve shape constraint, namely

$D_{h,t}=\underset{\mathrm{\τ}=1}{\overset{W_h}{\mathrm{\Σ}}}{D}_h\left(\mathrm{\τ}\right){\mathrm{\α}}_{h,t-\mathrm{\τ}+1}$

Wherein, W _hBe the electricity consumption curve duration of power consumer h; D _h(τ), τ=1,2 ..., W _hBe the electricity consumption Curve Sequences of power consumer h, suspension points represents from 2 to W _hBetween natural number; But this constraint condition characterizes the electricity consumption curve translation of power consumer, and the electricity consumption curve shape remains unchanged in the translation process;

(II) electricity consumption curve integrity constraint, namely

$\underset{t=T-W_h+1}{\overset{T}{\mathrm{\Σ}}}{\mathrm{\α}}_{h,t}=0$

S3. the described power consumer of solution procedure S2 moves the peak Optimized model, obtains the control variable α of all power consumers all periods in control cycle T in the electrical network _{H, t}And D _{H, t}Optimal value;

S4. grid company is with control variable α _{H, t}And D _{H, t}Optimal value as the goal of regulation and control value, issue the control signal that power consumer moves the peak to power consumer, implement electrical network supply falls short of demand the optimal control that electric load moves the peak in the situation;

S5. each power consumer moves the peak control signal according to what grid company issued, adjusts in real time self electricity consumption plan, and with the electricity consumption curvilinear translation to the period of moving peak control signal indication.

The present invention also proposes to utilize the electric load of said method to move the computing method of peak expense, it is characterized in that, may further comprise the steps:

S1. power consumer according to grid company issue move the peak control signal finish move the peak after, the peak expense of moving that participates in moving the power consumer at peak is born by having neither part nor lot in the power consumer that moves the peak; According to all power consumption pro rata distributions that has neither part nor lot in the power consumer that moves the peak, comprise the steps:

1) determines that the limit moves peak quotation

Move in the power consumer at peak in all participations, the maximal value of moving the peak quotation is defined as the limit moves the peak quotation, be labeled as C _m

2) statistics participate in moving the peak power consumer move peak expense summation C:

C＝nC _m

Wherein, n is the number that participation moves the power consumer at peak;

3) calculate each and have neither part nor lot in the peak expense of moving that the power consumer that moves the peak need to be shared

If having neither part nor lot in the power consumption that moves peak power consumer h is D _h, having neither part nor lot in the power consumption sum of moving the peak power consumer is D, and the peak expense sum of moving that all participations move the peak power consumer is C, and then having neither part nor lot in the peak expense of moving that the power consumer h that moves the peak need to share is C _h, expression formula is as follows:

$C_h=C\·\frac{D_h}{D}$

S2. have neither part nor lot in the power consumer that moves the peak according to step S1, the peak expense of moving that payment need to be shared; The power consumer that participation moves the peak obtains numerical value moves the peak quotation for the limit economic compensation.

Technical characterstic of the present invention and beneficial effect mainly comprise following two aspects:

On the one hand, the inventive method can assist grid company to determine that according to grid power vacancy power consumer moves the peak control program, realizes the accurate control that electric load is moved the peak.Traditional electric load moves the vibration that effect easily appears controlling in the peak control method, and its basic reason is the electricity consumption behavior that traditional control method passes through electricity price effect of signals power consumer, adopts the mechanism of iterative feedback to realize that electric load moves the purpose of peak control.In the inventive method, the data that power consumer is submitted the electricity consumption curve to and moved the peak offer curve to grid company; Grid company makes up the Optimized model that electric load moves the peak according to power consumer the electricity consumption curve of submitting to and the data of moving the peak offer curve; Find the solution this model, obtain the optimum control scheme that power consumer moves the peak, and will move the peak control signal and be issued to each power consumer; Power consumer moves the peak according to the peak control signal enforcement load that moves that grid company issues, thereby improves the homogeneity of electric load spatial and temporal distributions, and electric power energy is utilized more fully.The oscillatory occurences that the inventive method has occurred when having avoided adopting electricity price signal controlling power consumer to move the peak, simultaneously, can move the shape of guaranteeing the user power utilization curve in the peak process at power consumer and remain unchanged, workable in practical power systems, have significant beneficial effect.

On the other hand, participate in moving the peak expense of moving of power consumer at peak by the method that has neither part nor lot in the power consumer payment that moves the peak, can guide power consumer rational submit self to move the peak quotation.

(1) rational power consumer submit to be lower than that it truly moves the peak cost move peak quotation power shortage; Power consumer as a rational faculty, can truly not move the peak Cost Offer by being lower than self, because in case this power consumer participates in moving the peak, and the limit move that the peak quotation is lower than this power consumer truly move the peak cost, then the economic compensation that obtains of this power consumer will be not enough to remedy it and truly move the peak cost;

(2) rational power consumer submit to be higher than that it truly moves the peak cost move peak quotation risk; In the situation that power consumer has a mind to participate in moving the peak, if the power consumer high quoting will face the risk of two aspects; On the one hand, because quotation is too high, can't be chosen by grid company and participate in moving the peak; On the other hand, if can not participate in moving the peak because quotation is high, need to move the peak quotation according to the limit, to the certain peak expense of moving of power consumer payment that participates in moving the peak; In the situation that having no intention, power consumer participates in moving the peak, the power consumer high quoting of also being unwilling, because if these power consumers are declared high price, promoted the space that appreciates then for other power consumers, may raise the limit and move the peak quotation, so just make these users face the higher peak expense of moving of payment.

In the method that the present invention proposes, the power consumer high quoting not only possibly can't participate in moving the peak, pay the risk that the power consumer that participates in moving the peak necessarily moves the peak expense but also will face, so rational power consumer can not made a false report high price, thereby make power consumer be tending towards rational, submit to its peak that moves that truly moves the peak cost of reflection to offer.The method that the present invention proposes can solve the problem that power consumer in the information asymmetry situation moves peak quotation authenticity.

The present invention is intended to for the problems referred to above provide electrical network supply falls short of demand control and the expense computing method that electric load moves the peak in the situation, and the grid company power consumer that moves the peak that lets on is received more tangible benefits, and allows the power consumer that does not participate in moving the peak pay for.Generally, the actual power consumer that moves the peak only occupies the minority, most of power consumer does not need to participate in moving the peak, the method that the present invention proposes not only can be strong for moving peak energy power, and there is the power consumer that moves the peak wish to create the space of getting a profit, and do not cause again and have neither part nor lot in the overweight payment of power consumer that moves the peak, this is few because move the number of users at peak, most of users do not move the peak, must form most users with most users compensation a few users sits light on, the general layout that a few users income is abundant, significantly promote the enthusiasm that user's participation moves the peak, can effectively encourage power consumer to participate in interactive, thereby for advancing the enforcement of Electricity Demand side management and energy-saving and emission-reduction policy, the gross domestic product (GDP) generation vital role of creating improving China's unit of electrical energy demonstrates the important realistic meaning of the present invention and good application prospect.

Description of drawings

Fig. 1 is three kinds of form of expression schematic diagram that power consumer participates in demand Side Management; Fig. 1-a represents peak clipping; Paddy is filled out in Fig. 1-b representative; Fig. 1-c represents peak load shifting;

Fig. 2 is that electric load moves the process flow diagram of the control method at peak in electrical network of the present invention supply falls short of demand the situation;

Fig. 3 adopts the electric load of control method of the present invention to move the process flow diagram of the computing method of peak expense;

Fig. 4 is that power consumer is submitted electricity consumption curve and the schematic diagram that moves the peak offer curve to grid company in the example of the present invention;

Fig. 5 is power consumer electricity consumption curve synoptic diagram in the example of the present invention;

Fig. 6 is that power consumer moves peak offer curve schematic diagram in the example of the present invention;

Fig. 7 is that grid company issues the schematic diagram that moves the peak control signal in the example of the present invention to power consumer;

Fig. 8 be the embodiment of the invention a power consumer a the electricity consumption curve and move the peak offer curve;

Fig. 9 be the embodiment of the invention a power consumer b the electricity consumption curve and move the peak offer curve;

Figure 10 be the embodiment of the invention a power consumer c the electricity consumption curve and move the peak offer curve;

Figure 11 is the peak scheme of moving of a power consumer a of the embodiment of the invention;

Figure 12 is the peak scheme of moving of a power consumer b of the embodiment of the invention;

Figure 13 is the peak scheme of moving of a power consumer c of the embodiment of the invention.

Embodiment

The present invention is further detailed explanation below in conjunction with drawings and the embodiments.Should be appreciated that embodiment described herein can be in order to explaining the present invention, but do not limit the present invention.

The invention provides electrical network supply falls short of demand the control method that electric load moves the peak in the situation, as shown in Figure 2, the specific embodiment of the present invention comprises the steps:

S1. power consumer a few days ago according to next day control cycle production schedule arrangement and load move the cost that the peak needs are additionally paid, the data of submitting the electricity consumption curve to and moving the peak offer curve to grid company;

The signal that power consumer is submitted the electricity consumption curve to and moved the peak offer curve to grid company as shown in Figure 4; Power consumer is crossed data communication network with electricity consumption curve and the data communication device that moves the peak offer curve, is committed to grid company;

The signal of power consumer electricity consumption curve as shown in Figure 5; The electricity consumption curve duration of this power consumer is 8 hours, and the maximum power consumption load is 7466 kilowatts;

The example that power consumer moves the peak offer curve as shown in Figure 6; Certain is put corresponding Y value and represents this power consumer and put corresponding horizontal ordinate constantly the time, the cost that this power consumer need to additionally be paid with moving to zero hour of load curve this on this curve; Such as this power consumer zero hour of load curve is moved to 4:00 in morning, the cost that this power consumer need to additionally be paid is 50,000 yuan;

S2. grid company is set up power consumer and is moved the peak Optimized model according to power consumer the electricity consumption curve of submitting to and the data of moving the peak offer curve, and this Optimized model is comprised of objective function and constraint condition, comprises the steps:

1) make up the objective function that power consumer moves the peak Optimized model, expression formula is as follows:

$\min \underset{h=1}{\overset{H}{\mathrm{\Σ}}}\underset{t=1}{\overset{T}{\mathrm{\Σ}}}({\mathrm{\α}}_{h,t}{F}_{h,t}+{\mathrm{\π}}_t{D}_{h,t})$

Wherein, h is the subscript of power consumer, and H is the power consumer number, and t is the subscript of control time, hop count when T is control cycle, α _{H, t}Be power consumer h whether since the 0-1 integer variable of period t electricity consumption, F _{H, t}What be power consumer h since period t electricity consumption moves peak expense, π _tThe tou power price of period t, D _{H, t}Be the electric power of power consumer h period t, α _{H, t}And D _{H, t}It is the control variable of this Optimized model;

2) establish the constraint condition that power consumer moves the peak Optimized model, expression formula is as follows:

(I) fixedly electricity consumption curve shape constraint, namely

$D_{h,t}=\underset{\mathrm{\τ}=1}{\overset{W_h}{\mathrm{\Σ}}}{D}_h\left(\mathrm{\τ}\right){\mathrm{\α}}_{h,t-\mathrm{\τ}+1}$

Wherein, W _hBe the electricity consumption curve duration of power consumer h; D _h(τ), τ=1,2 ..., W _hBe the electricity consumption Curve Sequences of power consumer h, suspension points represents from 2 to W _hBetween natural number; D _hSignal (τ) as shown in Figure 5, τ is that in Fig. 5, the numerical value on the corresponding electricity consumption curve in τ=1 is 7200 kilowatts for the period subscript of describing the electricity consumption Curve Sequences; But this constraint condition characterizes the electricity consumption curve translation of power consumer, and the electricity consumption curve shape remains unchanged in the translation process;

(II) electricity consumption curve integrity constraint, namely

$\underset{t=T-W_h+1}{\overset{T}{\mathrm{\Σ}}}{\mathrm{\α}}_{h,t}=0$

S3. the described power consumer of solution procedure S2 moves the peak Optimized model, obtains the control variable α of all power consumers all periods in control cycle T in the electrical network _{H, t}And D _{H, t}Optimal value;

It is a mixed-integer programming model that contains the 0-1 variable that the described power consumer of step S2 moves the peak Optimized model, can adopt the methods such as existing branch and bound method, branch's cutting-plane method to find the solution;

S4. grid company is with control variable α _{H, t}And D _{H, t}Optimal value as the goal of regulation and control value, issue the control signal that power consumer moves the peak to power consumer, to implement electrical network supply falls short of demand the optimal control that electric load moves the peak in the situation;

As shown in Figure 7, the peak control signal of moving of grid company is passed through data communication network, is issued to each power consumer;

S5. each power consumer moves the peak control signal according to what grid company issued, adjusts in real time self electricity consumption plan, and with the electricity consumption curvilinear translation to the period of moving peak control signal indication.

The present invention is based on the computing method of moving the peak expense such as the electric load of above-mentioned method, as shown in Figure 3, the specific embodiment of the present invention comprises the steps:

S1. power consumer according to grid company issue move the peak control signal finish move the peak after, the peak expense of moving that participates in moving the power consumer at peak is born by having neither part nor lot in the power consumer that moves the peak; According to all power consumption pro rata distributions that has neither part nor lot in the power consumer that moves the peak, comprise the steps:

1) determines that the limit moves peak quotation

Move in the power consumer at peak in all participations, the maximal value of moving the peak quotation is defined as the limit moves the peak quotation, be labeled as C _m

2) statistics participate in moving the peak power consumer move peak expense summation C:

C＝nC _m

Wherein, n is the number that participation moves the power consumer at peak;

3) calculate each and have neither part nor lot in the peak expense of moving that the power consumer that moves the peak need to be shared

If having neither part nor lot in the power consumption that moves peak power consumer h is D _h, having neither part nor lot in the power consumption sum of moving the peak power consumer is D, and the expense sum that all participations move the peak power consumer is C, and then having neither part nor lot in the peak expense of moving that the power consumer h that moves the peak need to share is C _h, expression formula is as follows:

$C_h=C\·\frac{D_h}{D}$

S2. have neither part nor lot in the power consumer that moves the peak according to step S1, the peak expense of moving that payment need to be shared; The power consumer that participation moves the peak obtains numerical value moves the peak quotation for the limit economic compensation.

By above implementation step as seen, electric load moves the control at peak and expense computing method and can realize that grid company moves the peak to power consumer as required and precisely control in the electrical network that the present invention proposes supply falls short of demand the situation, can guide the rational data of moving the peak offer curve of submitting to of power consumer.

It is emphasized that the peak offer curve that moves in the implementation step that this method proposes can flexible choice and customization.Therefore, the above implementation step unrestricted technical scheme of the present invention in order to explanation only.Any modification or partial replacement that does not break away from spirit and scope of the invention all should be encompassed in the middle of the claim scope of the present invention.

Embodiment:

Take IEEE-3 node electrical network as example, if this electrical network comprises 210 power consumers, the electricity consumption curve duration of each power consumer is 8 hours, and the time that each power consumer begins electricity consumption produces at random according to the principle that is evenly distributed between the 9:00 to 12:00 in the morning; The peak load period can be moved the peak load and is 13.86MW, can not move the peak load and be 269.61MW, can move the peak load and account for 4.89% of this electrical network total load.For a certain reason, supply falls short of demand at load peak period (17:00) for this electrical network, and power shortage is 1.386MW.Control cycle T is at 24 hours next day, take 1 hour as separating, control cycle is divided into 24 control times.

The invention provides electrical network supply falls short of demand the control method that electric load moves the peak in the situation, as shown in Figure 2, the specific embodiment of the present invention comprises the steps:

S1. power consumer a few days ago according to next day control cycle production schedule arrangement and load move the cost that the peak needs are additionally paid, the data of submitting the electricity consumption curve to and moving the peak offer curve to grid company;

Take power consumer a, b and c as example, the electricity consumption curve of power consumer and move the peak offer curve such as Fig. 8 to shown in Figure 10, among the figure, histogram graph representation user's electricity consumption curve represents that with the line of diamond indicia point the user's moves the peak offer curve;

S2. grid company is set up power consumer and is moved the peak Optimized model according to power consumer the electricity consumption curve of submitting to and the data of moving the peak offer curve, and this Optimized model is comprised of objective function and constraint condition, may further comprise the steps:

1) make up the objective function that power consumer moves the peak Optimized model, expression formula is as follows:

$\min \underset{h=1}{\overset{H}{\mathrm{\Σ}}}\underset{t=1}{\overset{T}{\mathrm{\Σ}}}({\mathrm{\α}}_{h,t}{F}_{h,t}+{\mathrm{\π}}_t{D}_{h,t})$

Wherein, h is the subscript of power consumer, and H is the power consumer number, and t is the subscript of control time, hop count when T is control cycle, α _{H, t}Be power consumer h whether since the 0-1 integer variable of period t electricity consumption, F _{H, t}What be power consumer h since period t electricity consumption moves peak expense, π _tThe tou power price of period t, D _{H, t}Be the electric power of power consumer h period t, α _{H, t}And D _{H, t}It is the control variable of this Optimized model;

In the present embodiment, H=210, T=24, the data of tou power price are as shown in table 1; Take power consumer a, b and c as example, the electricity consumption curve of power consumer and move the peak offer curve such as Fig. 8 to shown in Figure 10, among the figure, histogram graph representation user's electricity consumption curve represents that with the line of diamond indicia point the user's moves the peak offer curve;

Table 1

Unit: unit/megawatt hour

2) establish the constraint condition that power consumer moves the peak Optimized model, expression formula is as follows:

(I) fixedly electricity consumption curve shape constraint, namely

$D_{h,t}=\underset{\mathrm{\τ}=1}{\overset{W_h}{\mathrm{\Σ}}}{D}_h\left(\mathrm{\τ}\right){\mathrm{\α}}_{h,t-\mathrm{\τ}+1}$

Wherein, W _hBe the electricity consumption curve duration of power consumer h; D _h(τ), τ=1,2 ..., W _hBe the electricity consumption Curve Sequences of power consumer h, suspension points represents from 2 to W _hBetween natural number; D _hSignal (τ) as shown in Figure 5, τ is that in Fig. 5, the numerical value on the corresponding electricity consumption curve in τ=1 is 7200 kilowatts for the period subscript of describing the electricity consumption Curve Sequences; But this constraint condition characterizes the electricity consumption curve translation of power consumer, and the electricity consumption curve shape remains unchanged in the translation process;

In the present embodiment, W _h=8, take power consumer a, b and c as example, the electricity consumption curve of power consumer such as Fig. 8 be to shown in Figure 10, among the figure, and histogram graph representation user's electricity consumption curve;

(II) electricity consumption curve integrity constraint, namely

$\underset{t=T-W_h+1}{\overset{T}{\mathrm{\Σ}}}{\mathrm{\α}}_{h,t}=0$

S3. the described power consumer of solution procedure S2 moves the peak Optimized model, obtains the control variable α of all power consumers all periods in control cycle T in the electrical network _{H, t}And D _{H, t}Optimal value;

Take power consumer a, b and c as example, its control variable α _{H, t}Optimal value as shown in table 2:

Table 2

The data of table 2 show, a, b, three users of c begin electricity consumption from 11:00,10:00 and 9:00 respectively;

Take power consumer a, b and c as example, its control variable D _{H, t}Optimal value as shown in table 3:

Table 3

Unit: megawatt

S4. grid company is with each control variable α _{H, t}And D _{H, t}Optimal value as the goal of regulation and control value, issue the control signal that power consumer moves the peak to power consumer, to implement electrical network supply falls short of demand the optimal control that electric load moves the peak in the situation;

S5. each power consumer moves the peak control signal according to what grid company issued, adjusts in real time self electricity consumption plan, and with the electricity consumption curvilinear translation to the period of moving peak control signal indication.

The control signal that issues according to grid company, a, b, three power consumers of c begin the period with electricity consumption and have shifted to an earlier date respectively 3,2,1 hours, extremely shown in Figure 13 such as Figure 11, among the figure, move electricity consumption curve before the peak with the line representative of consumer of diamond indicia point, move electricity consumption curve behind the peak with the line representative of consumer of square frame.It is 1.392MW that three power consumers move peak amount summation at the load of loading peak period (17:00), can realize the power supply and demand balance of loading peak period.

The present embodiment moves the computing method of peak expense based on the electric load of said method, as shown in Figure 3, the present embodiment comprises the steps:

S1. power consumer according to grid company issue move the peak control signal finish move the peak after, the peak expense of moving that participates in moving the power consumer at peak is born by having neither part nor lot in the power consumer that moves the peak; According to all power consumption pro rata distributions that has neither part nor lot in the power consumer that moves the peak, comprise the steps:

1) determines that the limit moves peak quotation

Move in the power consumer at peak in all participations, the maximal value of moving the peak quotation is defined as the limit moves the peak quotation, be labeled as C _m

In the present embodiment, it is 3500 yuan that the peak quotation is moved in the limit;

2) statistics participate in moving the peak power consumer move peak expense summation C:

C＝nC _m

Wherein, n is the number that participation moves the power consumer at peak; In the present embodiment, the power consumer number that participates in moving the peak is 3, and what have neither part nor lot in that the power consumer that moves the peak need to pay always moves peak expense C=3 * 3500=10500 unit;

3) calculate each and have neither part nor lot in the peak expense of moving that the power consumer that moves the peak need to be shared

If having neither part nor lot in the power consumption that moves peak power consumer h is D _h, having neither part nor lot in the power consumption sum of moving the peak power consumer is D, and the expense sum that all participations move the peak power consumer is C, and then having neither part nor lot in the peak expense of moving that the power consumer h that moves the peak need to share is C _h, expression formula is as follows:

$C_h=C\·\frac{D_h}{D}$

Each has neither part nor lot in the peak expense of moving that the power consumer that moves the peak need to pay according to 3 among the step S1) calculate, because power consumer quantity is more, do not enumerate one by one herein;

S2. have neither part nor lot in the power consumer that moves the peak according to step S1, the peak expense of moving that payment need to be shared; The power consumer that participation moves the peak obtains numerical value moves the peak quotation for the limit economic compensation.

The schematic statement of embodiment or example are described in the description of this instructions specific features, structure, material or characteristics not necessarily refers to identical embodiment or example; And the specific features of description, structure, material or characteristics can be with suitable mode combinations in any one or more embodiment or example.

Although the above has illustrated and has described embodiments of the invention, be understandable that, above-described embodiment is exemplary, can not be interpreted as limitation of the present invention, those of ordinary skill in the art is not in the situation that break away from principle of the present invention and aim can change above-described embodiment within the scope of the invention, modification, replacement and modification.

Claims (2)

1. the control method that electric load moves the peak in an electrical network supply falls short of demand the situation is characterized in that, may further comprise the steps:

S1. power consumer a few days ago according to next day control cycle production schedule arrangement and load move the cost that the peak needs are additionally paid, the data of submitting the electricity consumption curve to and moving the peak offer curve to grid company;

S2. grid company is set up the Optimized model that power consumer moves the peak according to power consumer the electricity consumption curve of submitting to and the data of moving the peak offer curve, and this Optimized model is comprised of objective function and constraint condition, comprises the steps:

1) make up the objective function that power consumer moves the peak Optimized model, expression formula is as follows:

$\min \underset{h=1}{\overset{H}{\mathrm{\Σ}}}\underset{t=1}{\overset{T}{\mathrm{\Σ}}}({\mathrm{\α}}_{h,t}{F}_{h,t}+{\mathrm{\π}}_t{D}_{h,t})$

Wherein, h is the subscript of power consumer, and H is the power consumer number, and t is the subscript of control time, hop count when T is control cycle, α _{H, t}Be power consumer h whether since the 0-1 integer variable of period t electricity consumption, F _{H, t}What be power consumer h since period t electricity consumption moves peak expense, π _tThe tou power price of period t, D _{H, t}Be the electric power of power consumer h period t, α _{H, t}And D _{H, t}It is the control variable of this Optimized model;

2) establish the constraint condition that power consumer moves the peak Optimized model, expression formula is as follows:

(I) fixedly electricity consumption curve shape constraint, namely

$D_{h,t}=\underset{\mathrm{\τ}=1}{\overset{W_h}{\mathrm{\Σ}}}{D}_h\left(\mathrm{\τ}\right){\mathrm{\α}}_{h,t-\mathrm{\τ}+1}$

Wherein, W _hBe the electricity consumption curve duration of power consumer h; D _h(τ), τ=1,2 ..., W _hBe the electricity consumption Curve Sequences of power consumer h, suspension points represents from 2 to W _hBetween natural number; But this constraint condition characterizes the electricity consumption curve translation of power consumer, and the electricity consumption curve shape remains unchanged in the translation process;

(II) electricity consumption curve integrity constraint, namely

$\underset{t=T-W_h+1}{\overset{T}{\mathrm{\Σ}}}{\mathrm{\α}}_{h,t}=0$

S3. the described power consumer of solution procedure S2 moves the peak Optimized model, obtains the control variable α of all power consumers all periods in control cycle T in the electrical network _{H, t}And D _{H, t}Optimal value;

S4. grid company is with control variable α _{H, t}And D _{H, t}Optimal value as the goal of regulation and control value, issue the control signal that power consumer moves the peak to power consumer, to implement electrical network supply falls short of demand the optimal control that electric load moves the peak in the situation;

S5. each power consumer moves the peak control signal according to what grid company issued, adjusts in real time self electricity consumption plan, and with the electricity consumption curvilinear translation to the period of moving peak control signal indication.

2. move the computing method of peak expense based on the electric load of method as claimed in claim 1, it is characterized in that, may further comprise the steps:

S1. power consumer according to grid company issue move the peak control signal finish move the peak after, the peak expense of moving that participates in moving the power consumer at peak is born by having neither part nor lot in the power consumer that moves the peak; According to all power consumption pro rata distributions that has neither part nor lot in the power consumer that moves the peak, comprise the steps:

1) determines that the limit moves peak quotation

Move in the power consumer at peak in all participations, the maximal value of moving the peak quotation is defined as the limit moves the peak quotation, be labeled as C _m

2) statistics participate in moving the peak power consumer move peak expense summation C:

C＝nC _m

Wherein, n is the number that participation moves the power consumer at peak;

3) calculate each and have neither part nor lot in the peak expense of moving that the power consumer that moves the peak need to be shared

If having neither part nor lot in the power consumption of the power consumer h that moves the peak is D _h, the power consumption sum that has neither part nor lot in the power consumer that moves the peak is D, and the peak expense sum of moving that all participations move the power consumer at peak is C, and then having neither part nor lot in the peak expense of moving that the power consumer h that moves the peak need to share is C _h, expression formula is as follows:

$C_h=C\·\frac{D_h}{D}$

S2. have neither part nor lot in the power consumer that moves the peak according to step S1, the peak expense of moving that payment need to be shared; The power consumer that participation moves the peak obtains numerical value moves the peak quotation for the limit economic compensation.

Images