CN105846467A - Stimulating type demand response-based micro power grid load shedding control method - Google Patents

Abstract

The invention provides a stimulating type demand response-based micro power grid load shedding control method which comprises the following steps: an aim of minimum dispatching cost is set so as to build a stimulating type demand response-based power grid side economic dispatching model; an aim of minimum user economic loss is set to build a user side response module; moreover, current operation condition of a micro power grid is obtained; the power grid dispatching model and the user response model are subjected to solving operation; according to a solving result, whether to conduct stimulating type demand responding operation or direct loading shedding operation is determined. Via use of the load shedding control method put forward in the invention, demand side resources can be used as substitutable resources for micro power grid distributed electric power generation and energy storage; micro power grid investment and operation cost can be lowered, load power failure frequency and power failure time can be reduced, and reliability of micro power grid power supply can be improved.

Description

The micro-grid load of meter and stimulable type demand response cuts down control method

Technical field

The load that the present invention relates to Operation of Electric Systems cuts down control technical field, needs particularly to one meter and stimulable type The micro-grid load asking response cuts down control method.

Background technology

Along with distribution type renewable energy and the fast development of energy storage, Demand Side Response and virtual plant have become by intelligence Electrical network is to the key factor of energy internet development.Intelligent grid emphasizes that user is actively engaged in the operational management of electrical network, it is achieved electricity Electric energy and the flexible two-way interaction of information between net and user.Demand Side Response is as the important component part of intelligent grid, energy Enough respond electricity price signal or incentive mechanism and adjust with power mode, it is achieved the peak load shifting of electrical network disappears with promotion distributed power source Receive.Meanwhile, Demand Side Response is as a virtual controllable resources of class, it is possible to using Demand-side as generating end substitutable resources in addition Utilize, be an important realization rate of virtual plant.

Stimulable type demand response is by signing a contract with user, is on the hazard in the shortage of power system capacity or reliability Time, guide user to adjust power mode with economic incentives, reduce the loading of this period, to ensure that the supply and demand of power system is put down Weighing apparatus.

When breaking down outside micro-capacitance sensor, internal load is carried out with external fault system by micro-capacitance sensor by intelligent switch Electrical isolation, transfers islet operation pattern to, is that micro-grid load is powered by distributed power source and energy storage.Isolated island type micro-capacitance sensor Power-off condition depends on the power supply and demand balance of inside.When distributed power source and energy storage undercapacity, need to carry out load and cut Subtract.Traditional load is cut down strategy and is only considered cutting load, without reference to stimulable type demand response.And distributed power source and energy storage skill The art ripe application in micro-capacitance sensor, the load reduction participating in micro-capacitance sensor for stimulable type demand response provides time basis.

Summary of the invention

It is an object of the invention to overcome deficiency of the prior art, it is provided that a kind of meter and micro-electricity of stimulable type demand response Net load cuts down control method, Demand Side Response is used as the substitutable resources of Generation Side, reduces the investment of electrical network And operating cost, reduce frequency of power cut and the time of load, improve the power supply reliability of micro-capacitance sensor.

The present invention proposes the micro-grid load of a kind of meter and stimulable type demand response and cuts down control method, including following step Rapid:

1) micro-capacitance sensor current distributed power source gross output P is obtained_G, energy storage output P_S, energy storage residue available little Time number T_SAnd total load amount P_L；

2) the grid side economic load dispatching model of stimulable type demand response is set up dispatching the minimum target of cost；

3) user side response model is set up with the minimum target of user's economic loss；

4) judge whether execution stimulable type demand response of having ready conditions, if so, solve grid side scheduling with linear programming method Model, and loading and reduction time that each demand response user tried to achieve should be cut down send user to, if it is not, go to step 6)；

5) customer response model is solved with QUADRATIC PROGRAMMING METHOD FOR, it is judged that customer charge cuts down whether total amount reaches requirement, if Reach, then without cutting load, if it is not, then perform next step；

6) cutting load, scarce loading P are carried out according to loading scarce in micro-capacitance sensor_QCalculating formula is P_Q=P_L-P_G。

The micro-grid load of above-mentioned meter and stimulable type demand response is cut down in control method, and described stimulable type demand is rung The grid side economic load dispatching model answered is:

Object function:

Constraints:

$\underset{i=1}{\overset{n}{\Σ}}{\mathrm{\ΔP}}_i\≥{\mathrm{\ΔP}}_s---\left(2\right),$

$\frac{\underset{i=1}{\overset{n}{\Σ}}{\mathrm{\ΔP}}_i{t}_{ri,max}}{\underset{i=1}{\overset{n}{\Σ}}{\mathrm{\ΔP}}_i}\≤T_r---\left(3\right),$

$\frac{\underset{i=1}{\overset{n}{\Σ}}{\mathrm{\ΔP}}_i{t}_i}{\underset{i=1}{\overset{n}{\Σ}}{\mathrm{\ΔP}}_i}\≥T---\left(4\right),$

$\∀i\∈N,\frac{{\mathrm{\ΔP}}_i}{P_i\left(t\right)}\≤{\mathrm{\λ}}_{max,i}---\left(5\right),$

$\∀i\∈N,s_i\≤S_{i,max}---\left(6\right),$

In formula: C represents scheduling cost；MinC represents that the target of model is for making scheduling cost C minimum；N represents and can interrupt bearing Lotus and the total quantity of urgent need response user；I represents the sequence number of user, and the span of i is 1～n；E_iRepresent user i's Compensate electricity price；ΔP_iRepresent the load reduction of user i；T represents the moment that demand response starts；P (t) represents response moment t Electricity price；α_iRepresent the electricity charge discount rate of user i；P_iT () represents the user i actual electric power at response moment t；t_iRepresent The load of user i cuts down the time；ΔP_sExpression system needs the total load amount cut down；t_ri,maxSigned an agreement middle rule by user i Fixed from receiving response signal to the maximum duration completed needed for load is cut down；T_rFor micro-capacitance sensor require from sending response signal The time that load is cut down is completed to user；T is that the load of system requirements cuts down the time；N is all interruptible loads and promptly needs Ask the set of response user；λ_max,iThe load maximum reduction ratio of middle regulation of being signed an agreement by user i；s_iFor this year of user i The number of times of degree demand response；S_i,maxBy the biggest year response times of regulation in the agreement that user i is signed.

In above-mentioned constraints, formula (2) is the constraint of load reduction；Formula (3) is response speed constraint；Formula (4) is response Duration retrains；Formula (5) is the constraint of reduction ratio；Formula (6) is response times constraint.

The micro-grid load of above-mentioned meter and stimulable type demand response cuts down control method, described user side response model For:

Object function:

MinL=C₁+C₂+ F-R (7),

C₁=(K₁ΔP²+K₂ΔP-K₂ΔPu)t_dr(8),

C₂=α p (t) (P (t)-Δ P) t_dr(9),

$F=\left\{\begin{array}{cc}0& \mathrm{\&Delta;}P\&GreaterEqual;{\mathrm{\&Delta;P}}_n\\ ({\mathrm{\&Delta;P}}_n-\mathrm{\&Delta;}P)p_f{t}_{dr}& \mathrm{\&Delta;}P<{\mathrm{\&Delta;P}}_n\end{array}\right.---\left(10\right),$

$R=\left\{\begin{array}{cc}{\mathrm{\&Delta;P}}_n{\mathrm{Et}}_{dr}& \mathrm{\&Delta;}P\&GreaterEqual;{\mathrm{\&Delta;P}}_n\\ {\mathrm{\&Delta;PEt}}_{dr}& \mathrm{\&Delta;}P<{\mathrm{\&Delta;P}}_n\end{array}\right.---\left(11\right),$

Constraints:

0≤Δ P≤P (t) (12),

$\mathrm{\&alpha;}=\left\{\begin{array}{cc}\mathrm{\&alpha;}& \mathrm{\&Delta;}P\&GreaterEqual;{\mathrm{\&Delta;P}}_n\\ 1& \mathrm{\&Delta;}P<{\mathrm{\&Delta;P}}_n\end{array}\right.---\left(13\right),$

t_r≤t_r,max(14),

In above-mentioned formula: L is the total economic loss of user；C₁The cost of response is performed for user；C₂For user in the response period The electricity charge；F is not for respond punishment；R is response income；K₁And K₂For constant coefficient；Δ P is the load reduction of user；U is (0,1) district Interior random value；t_drDuration for user's reduction plans；α is the electricity charge discount rate of user；P (t) is that user is at response moment t Actual electric power；ΔP_nLoad reduction is required for Utilities Electric Co.；p_fFor punishment electricity price；E is for compensating electricity price；t_rFor user From receiving response signal to the time completed used by load reduction；t_r,maxBy user signed an agreement middle regulation from receiving response Signal is to the maximum duration completed needed for load is cut down.

Formula (8) is response cost equation, uses quadratic function to carry out quantificational description, and u is the random value in (0,1) interval, Represent that user performs subjectivity and the uncertainty of response with it, distinguish the power failure cost of dissimilar user；Formula (9) is response Electricity charge equation in period, wherein urgent need response demand charge discount is 1；Formula (10) does not responds punishment equation, if user Load reduction reaches the electricity then impunity that Utilities Electric Co. requires to cut down, and is otherwise punished by corresponding difference electricity, its Middle urgent need response user do not punish；Formula (11) is response income equation, and the electricity that user is compensated is not more than electric power Company requires the electricity cut down；Formula (12) is for cutting down Constraint, before representing that reality reduction electrical power is not more than user's response Power；Formula (13) is the constraint of interruptible load demand charge discount, represents when user's actual reduction plans amount reaches Utilities Electric Co. Electricity charge discount is just had during requirement；Formula (14) is response speed constraint.

The micro-capacitance sensor island mode load of above-mentioned meter and stimulable type demand response is cut down in strategy, and described performs excitation The condition of type demand response is:

t_rs<T_SAnd Δ P_max>P_L-P_G(15),

In formula: t_rsUsed to completing load reduction from receiving response signal for micro-capacitance sensor all stimulable types demand response user Average time；ΔP_maxCan reduction plans amount for micro-capacitance sensor all stimulable types response user's maximum.

Compared with prior art, the beneficial effects of the present invention is:

(1) guide user to adjust power mode by stimulable type demand response, reduce load during micro-capacitance sensor islet operation Vacancy, thus reduce distributed power source and the configuration capacity of energy storage in micro-capacitance sensor, reduce investment and the operating cost of power system；

(2) one of step that stimulable type demand response is cut down as micro-capacitance sensor island mode load control method, it is possible to Reduce frequency of power cut and the power off time of micro-capacitance sensor internal loading, improve the power supply reliability of micro-capacitance sensor.

Accompanying drawing explanation

Fig. 1 is the schematic flow sheet of the micro-grid load reduction control method of meter and stimulable type demand response.

Fig. 2 is the electric network model schematic diagram of specific embodiment.

Detailed description of the invention

It is embodied as being described further to the present invention below in conjunction with accompanying drawing and example.

Fig. 1 reflects the idiographic flow of the micro-grid load reduction control method of meter and stimulable type demand response, including such as Lower step:

1) data initialization, makes t=0；

2) the internal distributed power source gross capability P of t micro-capacitance sensor is obtained_G, total load amount P_L, energy storage EIAJ P_SAnd storage Can the available hourage T of residue_SIf, P_G+P_S>P_L, carry out next step, if it is not, then go to step 8)；

3) if P_G<P_L, carry out next step, if it is not, then go to step 7)；

4) the peak load reduction Δ P of all stimulable type demand response users is calculated_maxWith the average time needed for response t_rsIf, t_rs<T_SAnd Δ P_max>P_L-P_G, then next step is carried out, if it is not, go to step 7)；

5) calculate micro-capacitance sensor and lack loading P_Q=P_L-P_G, the grid side of stimulable type demand response is solved with linear programming method Economic load dispatching model, show that each exciter response user's answers reduction Δ P_iAnd cut down time t_i, and send result to use Family, wherein the economic load dispatching model of grid side is as follows:

Object function:

Constraints:

$\underset{i=1}{\overset{n}{\&Sigma;}}{\mathrm{\&Delta;P}}_i\&GreaterEqual;{\mathrm{\&Delta;P}}_s---\left(2\right),$

$\frac{\underset{i=1}{\overset{n}{\&Sigma;}}{\mathrm{\&Delta;P}}_i{t}_{ri,\max }}{\underset{i=1}{\overset{n}{\&Sigma;}}{\mathrm{\&Delta;P}}_i}\&le;T_r---\left(3\right),$

$\frac{\underset{i=1}{\overset{n}{\&Sigma;}}{\mathrm{\&Delta;P}}_i{t}_i}{\underset{i=1}{\overset{n}{\&Sigma;}}{\mathrm{\&Delta;P}}_i}\&GreaterEqual;T---\left(4\right),$

$\&ForAll;i\&Element;N,\frac{{\mathrm{\&Delta;P}}_i}{P_i\left(t\right)}\&le;{\mathrm{\&lambda;}}_{max,i}---\left(5\right),$

$\&ForAll;i\&Element;N,s_i\&le;S_{i,max}---\left(6\right),$

In formula: C represents scheduling cost；MinC represents that the target of model is for making scheduling cost C minimum；N represents and can interrupt bearing Lotus and the total quantity of urgent need response user；I represents the sequence number of user, and the span of i is 1～n；E_iRepresent user i's Compensate electricity price；ΔP_iRepresent the load reduction of user i；T represents the moment that demand response starts；P (t) represents response moment t Electricity price；α_iRepresent the electricity charge discount rate of user i；P_iT () represents the user i actual electric power at response moment t；t_iRepresent The load of user i cuts down the time；ΔP_sExpression system needs the total load amount cut down；t_ri,maxSigned an agreement middle rule by user i Fixed from receiving response signal to the maximum duration completed needed for load is cut down；T_rFor micro-capacitance sensor require from sending response signal The time that load is cut down is completed to user；T is that the load of system requirements cuts down the time；N is all interruptible loads and promptly needs Ask the set of response user；λ_max,iThe load maximum reduction ratio of middle regulation of being signed an agreement by user i；s_iFor this year of user i The number of times of degree demand response；S_i,maxBy the biggest year response times of regulation in the agreement that user i is signed.

6) solve customer response model with QUADRATIC PROGRAMMING METHOD FOR, draw each user actual reduction plans amount Δ P_aiIf,Then carry out next step, if it is not, then go to step 8), wherein customer response model is as follows:

Object function:

MinL=C₁+C₂+ F-R (7),

C₁=(K₁ΔP²+K₂ΔP-K₂ΔPu)t_dr(8),

C₂=α p (t) (P (t)-Δ P) t_dr(9),

$F=\left\{\begin{array}{cc}0& \mathrm{\&Delta;}P\&GreaterEqual;{\mathrm{\&Delta;P}}_n\\ ({\mathrm{\&Delta;P}}_n-\mathrm{\&Delta;}P)p_f{t}_{dr}& \mathrm{\&Delta;}P<{\mathrm{\&Delta;P}}_n\end{array}\right.---\left(10\right),$

$R=\left\{\begin{array}{cc}{\mathrm{\&Delta;P}}_n{\mathrm{Et}}_{dr}& \mathrm{\&Delta;}P\&GreaterEqual;{\mathrm{\&Delta;P}}_n\\ {\mathrm{\&Delta;PEt}}_{dr}& \mathrm{\&Delta;}P<{\mathrm{\&Delta;P}}_n\end{array}\right.---\left(11\right),$

Constraints:

0≤Δ P≤P (t) (12),

$\mathrm{\&alpha;}=\left\{\begin{array}{cc}\mathrm{\&alpha;}& \mathrm{\&Delta;}P\&GreaterEqual;{\mathrm{\&Delta;P}}_n\\ 1& \mathrm{\&Delta;}P<{\mathrm{\&Delta;P}}_n\end{array}\right.---\left(13\right),$

t_r≤t_r,max(14),

In above-mentioned formula: L is the total economic loss of user；C₁The cost of response is performed for user；C₂For user in the response period The electricity charge；F is not for respond punishment；R is response income；K₁And K₂For constant coefficient；Δ P is the load reduction of user；U is (0,1) district Interior random value；t_drDuration for user's reduction plans；α is the electricity charge discount rate of user；P (t) is that user is at response moment t Actual electric power；ΔP_nLoad reduction is required for Utilities Electric Co.；p_fFor punishment electricity price；E is for compensating electricity price；t_rFor user From receiving response signal to the time completed used by load reduction；t_r,maxBy user signed an agreement middle regulation from receiving response Signal is to the maximum duration completed needed for load is cut down.

7) loading P is lacked according to micro-capacitance sensor_Q, the significance level of internal load and electric position carry out cutting load；

8) judge that now whether micro-capacitance sensor is still in islet operation pattern, if so, make t=t+ Δ t, go to step 2；If No, then terminate this circulation.

The following is an example of calculation of the inventive method, Fig. 2 shows the topological structure of this power distribution network.From figure permissible Find out, with points of common connection as separation, load 11～13,19～23 and Wind turbines, micro-gas-turbine unit and energy storage Constituting a micro-capacitance sensor, equipped with intelligent switch on branch road 25,26 and 29, can effectively cut-off load current, electric network element data are such as Shown in table 1, table 2.

Table 1 distributed power source and energy storage parameter

Table 2 electric network element dependability parameter

In this example, use Weibull distribution simulation actual wind speed probability distribution, the incision of Wind turbines, specified and cut Except wind speed is respectively 9,38 and 80km/h, if mean wind speed is 14.6km/h, wind speed deviation is 9.75.Stored energy capacitance is 1MW h, EIAJ is 0.5MW.Micro-gas-turbine unit uses as follows model of exerting oneself, i.e. micro-gas-turbine unit Only 16 o'clock in a day to 20 o'clock generating, power is 0.6MW, and remaining time does not generates electricity.

$P_{GT}\left(t\right)=\left\{\begin{array}{cc}0& t=0-15,21-24\\ 0.6& t=16-20\end{array}\right.$

Choosing micro-grid load LP13,21 and 23 user as signing demand response agreement, wherein LP13 and 21 is can Interruptible load user, LP23 is that urgent need responds user, and the compensation electricity price of user, electricity charge discount, peak load cut down ratio Do not respond punishment as shown in table 3.In actual motion, the power-cut wish of different user can be predicted according to historical data, Might as well directly set constant coefficient K1 in response model, K2 is respectively 0.75 and 1 herein.

Table 3 stimulable type demand response customer parameter

Based on said method to carrying out load reduction under micro-capacitance sensor islet operation pattern, and carry out micro-capacitance sensor power supply reliability Assessment.For embodying beneficial effects of the present invention further, table 4 gives the contrast of micro-capacitance sensor power supply reliability index, and scheme 1 is Using tradition load to cut down strategy and carry out reliability assessment, scheme 2 be the micro-of the employing meter of the present invention and stimulable type demand response Electrical network island mode load is cut down strategy and is carried out reliability assessment.

Table 4 micro-capacitance sensor reliability index

Wherein, system System average interruption frequency index S AIFI (System Average Interruption Frequency Index) referring to each user average frequency of power cut in a year in micro-capacitance sensor, unit is (times/year)；System averagely has a power failure and holds Continuous time index SAIDI (System Average Interruption Frequency Index) refers in micro-capacitance sensor each User's System average interruption duration in a year, unit is (hour/year)；System is averagely powered Availability Index ASAI Total confession that (Average Service Availability Index) refers to not have a power failure user in a year duration requires with user The ratio of electricity duration.

As known from Table 4, using scheme 2 to reduce by 16.77% than employing scheme 1 System average interruption frequency index, average power failure is held Continuous time index reduces by 11.63%, and average power supply availability promotes 0.0137%, illustrates to use the meter of the present invention and stimulable type to need The micro-capacitance sensor island mode load asking response cuts down strategy can promote the power supply reliability of micro-capacitance sensor.

Above-described embodiment is the present invention preferably embodiment, but embodiments of the present invention are not by above-described embodiment Limit, the amendment made under other any spirit without departing from the present invention and principle, modify, substitute, combine, simplify, all Should be the substitute mode of equivalence, within all should being included in protection scope of the present invention.

Claims (4)

1. the micro-grid load of a meter and stimulable type demand response cuts down control method, it is characterised in that comprise the following steps:

1) micro-capacitance sensor current distributed power source gross output P is obtained_G, energy storage output P_S, the available hourage of energy storage residue T_SAnd total load amount P_L；

2) the grid side economic load dispatching model of stimulable type demand response is set up dispatching the minimum target of cost；

3) user side response model is set up with the minimum target of user's economic loss；

4) judge whether execution stimulable type demand response of having ready conditions, if so, solve grid side scheduling model with linear programming method, And loading and the reduction time each demand response user tried to achieve should cut down sends user to, if it is not, go to step 6)；

5) customer response model is solved with QUADRATIC PROGRAMMING METHOD FOR, it is judged that customer charge cuts down whether total amount reaches requirement, if reaching, Then without cutting load, if it is not, then perform next step；

6) cutting load, scarce loading P are carried out according to loading scarce in micro-capacitance sensor_QCalculating formula is P_Q=P_L-P_G。

The micro-grid load of meter the most according to claim 1 and stimulable type demand response cuts down control method, and its feature exists In step 2) described in the grid side economic load dispatching model of stimulable type demand response be:

Object function:

Constraints:

$\underset{i=1}{\overset{n}{\&Sigma;}}{\mathrm{\&Delta;P}}_i\&GreaterEqual;{\mathrm{\&Delta;P}}_s---\left(2\right),$

$\frac{\underset{i=1}{\overset{n}{\&Sigma;}}{\mathrm{\&Delta;P}}_i{t}_{ri,max}}{\underset{i=1}{\overset{n}{\&Sigma;}}{\mathrm{\&Delta;P}}_i}\&le;T_r---\left(3\right),$

$\frac{\underset{i=1}{\overset{n}{\&Sigma;}}{\mathrm{\&Delta;P}}_i{t}_i}{\underset{i=1}{\overset{n}{\&Sigma;}}{\mathrm{\&Delta;P}}_i}\&GreaterEqual;T---\left(4\right),$

$\&ForAll;i\&Element;N,\frac{{\mathrm{\&Delta;P}}_i}{P_i\left(t\right)}\&le;{\mathrm{\&lambda;}}_{max,i}---\left(5\right),$

$\&ForAll;i\&Element;N,s_i\&le;S_{i,max}---\left(6\right),$

In formula: C represents scheduling cost；Min C represents that the target of model is for making scheduling cost C minimum；N represent interruptible load and The total quantity of urgent need response user；I represents the sequence number of user, and the span of i is 1～n；E_iRepresent the compensation of user i Electricity price；ΔP_iRepresent the load reduction of user i；T represents the moment that demand response starts；P (t) represents the electricity of response moment t Valency；α_iRepresent the electricity charge discount rate of user i；P_iT () represents the user i actual electric power at response moment t；t_iRepresent user i Load cut down the time；ΔP_sExpression system needs the total load amount cut down；t_ri,maxSigned an agreement middle regulation by user i From receiving response signal to the maximum duration completed needed for load is cut down；T_rFor micro-capacitance sensor require from send response signal to Family completes the time that load is cut down；T is that the load of system requirements cuts down the time；N is all interruptible loads and urgent need sound Answer the set of user；λ_max,iThe load maximum reduction ratio of middle regulation of being signed an agreement by user i；s_iNeed for this year of user i Seek the number of times of response；S_i,maxBy the biggest year response times of regulation in the agreement that user i is signed.

The micro-grid load of meter the most according to claim 1 and stimulable type demand response cuts down control method, and its feature exists In step 3) described in user side response model be:

Object function:

MinL=C₁+C₂+ F-R (7),

C₁=(K₁ΔP²+K₂ΔP-K₂ΔPu)t_dr(8),

C₂=α p (t) (P (t)-Δ P) t_dr(9),

$F=\left\{\begin{array}{cc}0& \mathrm{\&Delta;}P\&GreaterEqual;{\mathrm{\&Delta;P}}_n\\ ({\mathrm{\&Delta;P}}_n-\mathrm{\&Delta;}P)p_f{t}_{dr}& \mathrm{\&Delta;}P<{\mathrm{\&Delta;P}}_n\end{array}\right.---\left(10\right),$

$R=\left\{\begin{array}{cc}{\mathrm{\&Delta;P}}_n{\mathrm{Et}}_{dr}& \mathrm{\&Delta;}P\&GreaterEqual;{\mathrm{\&Delta;P}}_n\\ {\mathrm{\&Delta;PEt}}_{dr}& \mathrm{\&Delta;}P<{\mathrm{\&Delta;P}}_n\end{array}\right.---\left(11\right),$

Constraints:

0≤Δ P≤P (t) (12),

$\mathrm{\&alpha;}=\left\{\begin{array}{cc}\mathrm{\&alpha;}& \mathrm{\&Delta;}P\&GreaterEqual;{\mathrm{\&Delta;P}}_n\\ 1& \mathrm{\&Delta;}P<{\mathrm{\&Delta;P}}_n\end{array}\right.---\left(13\right),$

t_r≤t_r,max(14),

In above-mentioned formula: L is the total economic loss of user；C₁The cost of response is performed for user；C₂For the electricity of user in the response period Take；F is not for respond punishment；R is response income；K₁And K₂For constant coefficient；Δ P is the load reduction of user；U is that (0,1) is interval Interior random value；t_drDuration for user's reduction plans；α is the electricity charge discount rate of user；P (t) is that user is at response moment t Actual electric power；ΔP_nLoad reduction is required for Utilities Electric Co.；p_fFor punishment electricity price；E is for compensating electricity price；t_rFor user from Receive response signal to the time completed used by load reduction；t_r,maxBy user signed an agreement middle regulation from receive response letter Number to complete load cut down needed for maximum duration.

The micro-grid load of meter the most according to claim 1 and stimulable type demand response cuts down control method, and its feature exists In step 4) condition of described execution stimulable type demand response is:

t_rs＜ T_SAnd Δ P_max>P_L-P_G(15),

In formula: t_rsFor micro-capacitance sensor all stimulable types demand response user from receiving response signal to completing putting down used by load reduction All time；ΔP_maxCan reduction plans amount for micro-capacitance sensor all stimulable types response user's maximum.