Load control method based on original energy demand of user

Abstract

The invention discloses a load control method based on an original energy consumption demand of a user. The method comprises the following steps: constructing an initial load model according to the original energy consumption demand of the user; if the energy supply gap is a conventional energy supply gap, regulating and controlling the load model by adopting a translation method or a segmentation method; if a sudden energy supply gap is formed and a power peak is formed, carrying out peak regulation and control on the load model by adopting ultra-short-term interruption; if the energy supply gap still exists, the energy supply system adopts an interruption control mechanism to terminate load energy supply meeting a user interruption condition, and the load control is ended; and a user energy consumption demand load model at the current moment is introduced into the load model of the load regulation and control, an updated load model is obtained, and next load control is started. The range and degree of load control are completely based on the original energy demand proposed by the user, the control process is on the premise of meeting the user demand, load control is carried out to a greater extent according to the controllable range of the load, and the energy consumption satisfaction of the user is considered.

Description

Technical Field

[0001] The present invention relates to the technical field of load control, and in particular to a load control method based on original energy demand of users. Background Art

[0002] Load control is a key link in the operation of energy systems. In the context of ever-changing energy supply and demand, effective load control can not only achieve real-time supply and demand balance, but also improve the overall operating efficiency of equipment and systems, reduce the redundant construction and maintenance costs of infrastructure, and thus ease the pressure of investment and expansion. At present, the widely used traditional load control methods mainly rely on economic incentives or price signals to guide users to adjust their energy consumption behavior. Traditional load control methods have the following problems: 1. The characteristics of the load can only be analyzed through the external characteristics of the load cluster, and the ability to mine controllable resources is weak; 2. The direct control authority over the load is small, and there are disadvantages in terms of control range and control degree; 3. The main control method relies on economic incentives, and the user's sensitivity to economic signals is not linear, so the difficulty of load control is high; 4. After receiving the economic signal, the user needs to make a decision and respond, which takes a long time, and the ability in terms of control speed and emergency control is weak; 5. The user's energy experience cannot be taken into account during the load control process. Summary of the invention

[0003] Purpose of the invention: The present invention aims to provide a load control method based on the original energy demand proposed by the user, which can improve the scope, degree and controllability of load control and energy system.

[0004] Technical solution: The load control method based on the user's original energy demand of the present invention comprises the following steps:

[0005] (1) The user submits the original energy demand m to the energy supply system;

[0006] (2) Based on the comprehensive load model of the energy supply system at the current moment and the external green power supply model P out (t) Determine the basic load model L corresponding to the user's original energy demand m m (t):

[0007] (3) The basic load model L corresponding to the user's original energy demand m m (t) Comprehensive load model L with energy supply system added ∑ (t), the updated comprehensive load model L′ is obtained ∑ (t);

[0008] (4) The updated comprehensive load model L′ Σ(t) is compared with the external green power supply model at the current moment. When a supply gap occurs, if the supply gap is a regular supply gap, based on the dispatch control model, a shift or segmentation dispatch control is adopted; if the supply gap is a sudden supply gap and forms a power peak, based on the peak control model, an ultra-short-term interruption is adopted for peak control; the supply gap is filled and the load control ends. If there is still an energy supply gap, enter step (5);

[0009] (5) If the energy supply gap is not filled, the energy supply system adjusts the dispatching control model or the peak control model based on the interruption control model to increase its load control capability, adds an interruption mode to the load adjustment mode, regulates the specific basic load model that meets the interruption conditions, and ends this load control.

[0010] Furthermore, the original energy demand includes description information of the demand, standard requirements for realizing the demand, time requirements for the demand, target type of the demand, and user-defined interruptibility and interruption conditions.

[0011] Furthermore, in step (2), the basic load model corresponding to the user's original energy demand is

[0012]

[0013] Among them, L m (t) is the basic load model corresponding to the user's original energy demand m; P m For L m (t) The corresponding power value, P out (t) is the external green electricity supply model; L ∑ (t) is the comprehensive load model; t start ,t end are the start and end time of the base load model, respectively.

[0014] Furthermore, in step (3), the updated comprehensive load model L′ Σ (t) is

[0015] L′ ∑ (t) = L ∑ (t)+L m (t).

[0016] Furthermore, in step (4), the load model is regulated by translation, and the load model after regulation is:

[0017] A[L i (t),τ]=L i (t-τ)

[0018] 0≤τ≤t limit -tend +t satrt

[0019] Among them, A[·] is the translation function, L i (t) is the basic load model corresponding to the original energy demand of the i-th user, τ is the shift time, t limit The latest completion time specified by the user for the requirement.

[0020] Furthermore, in step (4), the basic load model is regulated in a segmented manner, and the load model after regulation is:

[0021]

[0022]

[0023] t end +Δt≤t limit

[0024] Among them, B[·] is a piecewise universal function, The start and end time of the segment respectively.

[0025] Furthermore, in step (4), the optimization objectives of the dispatch control model include minimizing the number of affected users and optimizing the control accuracy. The objective function for minimizing the number of affected users is as follows:

[0026]

[0027]

[0028] Among them, N is the total number of users, δ i is a binary variable, δ i =1, indicating that the i-th basic load model is adjusted, δ i =0, indicating that the basic load model corresponding to the original energy demand of the i-th user is not adjusted; τ i is the translation time of the basic load model corresponding to the original energy demand of the i-th user, is the segment end time of the basic load model corresponding to the original energy demand of the i-th user;

[0029] The objective function for optimal control accuracy is as follows:

[0030]

[0031]

[0032] Among them, P i is the power value corresponding to the basic load model corresponding to the original energy demand of the i-th user, ΔT iis the amount of time that the basic load model corresponding to the original energy demand of the i-th user is adjusted, It is the segment start time of the basic load model corresponding to the original energy demand of the i-th user.

[0033] Furthermore, in step (4), the object range constraint is adjusted as follows:

[0034]

[0035] The constraints for selecting the method are as follows:

[0036]

[0037] Among them, t i,start ,t i,end They represent the start and end time of the basic load model corresponding to the original energy demand of the i-th user, Respectively represent the start and end time of the energy supply gap;

[0038] The time constraints for the translation method are as follows:

[0039]

[0040] Among them, t i,limit is the latest completion time of the basic load model corresponding to the original energy demand of the i-th user;

[0041] The time constraints for the segmentation method are as follows:

[0042]

[0043] The energy gap filling constraints are as follows:

[0044]

[0045]

[0046] Among them, P def (t) is the conventional energy supply gap model.

[0047] Furthermore, in step (4), ultra-short-term interruption is used to perform peak control on the load model, and the load model after control is:

[0048]

[0049] Where D[·] is the ultra-short-term interruption function, Respectively represent the start time and end time of the ultra-short-term interruption, t start ,t end are the start and end time of the load model respectively;

[0050] The peak control model is

[0051]

[0052]

[0053] Where M is the total amount of the basic load model participating in the ultra-short-term interruption, P peak (t) is the power peak function, Respectively represent the start and end time of the power peak, They represent the start and end time of the ultra-short-term interruption of the ith basic load model respectively.

[0054] Furthermore, in step (5), if the energy supply gap is not filled, the energy supply system adjusts the dispatch control model or the peak control model based on the interruption control model to increase its load control capability, and adds an interruption mode to the load adjustment mode to regulate the specific basic load model that meets the interruption condition. The load model after regulation is

[0055]

[0056]

[0057] Among them, C[·] is the interruption function, Respectively indicate the start and end time of the interruption;

[0058] Under the influence of the interruption control model, the original scheduling control model affects the number of users with the least parameter δ in the objective function. i Changes to:

[0059]

[0060] The parameter ΔT in the objective function with optimal control accuracy i Changes to

[0061]

[0062] The selection constraint changes to

[0063]

[0064] The additional interrupt adjustment constraints are as follows:

[0065]

[0066] Filling the energy gap constraint adjustment:

[0067]

[0068]

[0069] Under the influence of the interruption control model, the spike control model is updated as follows:

[0070]

[0071]

[0072] Supplementary method selection constraints:

[0073]

[0074] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages: 1. The scope and degree of load control of the present invention are completely based on the original energy demand proposed by the user. The control process is based on the premise of meeting the user's needs. A greater degree of load control is performed based on the controllable range of the load, taking into account the user's energy satisfaction; 2. The present invention no longer relies excessively on economic incentives and user feedback on incentives, but performs load control based on the original energy demand clearly expressed by the user and the controllable range of the load, with a deeper degree of control and a larger range; 3. The present invention uses translation or segmentation to adjust and control the load model, and does not analyze the load model adjustment methods such as power changes, so as to avoid excessively fine control that will increase the model calculation amount of the system, realize rapid load adjustment, and meet user needs to stimulate green electricity consumption; 4. The present invention adopts the strategy of affecting the least number of users and the strategy of optimal control accuracy. The model calculation amount of a single control with the strategy of affecting the least number of users as the main strategy is greatly reduced, which is conducive to the system to generate control decisions online, and will also reduce the difficulty of actual control; the strategy of optimizing control accuracy as the main strategy will greatly improve the scheduling accuracy of a single control, reduce the impact of a single control on the subsequent overall load curve, and help reduce the number of control rounds. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 is a flow chart of the present invention;

[0076] Figure 2 A comparison diagram of the energy supply gap and the load model of the embodiment;

[0077] Figure 3 A comparison chart of the energy supply gap and the load model after adjusting the load 1 to fill the energy supply gap;

[0078] Figure 4 A comparison chart of the energy supply gap and the load model after adjusting load 2 to fill the energy supply gap;

[0079] Figure 5 Comparison chart of energy supply gap and load model after adjusting loads 3, 4, 5, and 6 to fill the energy supply gap. DETAILED DESCRIPTION

[0080] The present invention will be further described below in conjunction with the accompanying drawings.

[0081] The load control method based on the user's original energy demand of the present invention comprises the following steps:

[0082] (1) Construct the corresponding basic load model according to the user's original energy demand.

[0083] The user proposes a new user original energy demand m to the energy supply system; according to the comprehensive load model of the energy supply system at the current moment and the external green power supply model P out (t) Determine the basic load model L corresponding to the user's original energy demand m m (t): The original energy demand includes the description information of the demand, the standard requirements for demand realization, the time requirements of the demand, the target type of the demand, and the user-defined interruptibility and interruption conditions.

[0084] The basic load model corresponding to the user's original energy demand is:

[0085]

[0086] Among them, L m (t) is the basic load model corresponding to the user's original energy demand m; P m For L m (t) The corresponding power value, P out (t) is the external green electricity supply model; L ∑ (t) is the comprehensive load model; t start ,t end are the start and end time of the base load model, respectively.

[0087] (2) The basic load model L corresponding to the user's original energy demand m m (t) Comprehensive load model L with energy supply system added ∑ (t), the updated comprehensive load model L′ is obtained ∑ (t).

[0088] Updated comprehensive load model L′ ∑ (t) is

[0089] L′ ∑ (t) = L ∑ (t)+L m (t).

[0090] (3) The updated comprehensive load model L′ ∑(t) is compared with the external green electricity supply model at the current moment (the external green electricity supply model is a dynamic model). When a supply gap occurs, if the supply gap is a regular supply gap, based on the dispatch control model, a shift or segmentation dispatch control is adopted; if the supply gap is a sudden supply gap and forms a power peak, based on the peak control model, an ultra-short-term interruption is adopted for peak control; the supply gap is filled and the load control is terminated. If there is still an energy supply gap, the process goes to step (4); the details are as follows:

[0091] (a) When a conventional energy supply gap occurs, the specific basic load model is adjusted through translation and segmentation according to the dispatch control mechanism.

[0092] Translation refers to moving the basic load model as a whole on the time axis within the time requirement given by the user's original energy demand, changing only the start and end time of the model, and not changing the power and duration of the model.

[0093] The load model is regulated by translation. Under the action of translation functional A, the regulated load model is:

[0094] A[L i (t),τ]=L i (t-τ)

[0095] 0≤τ≤t limit -t end +t satrt

[0096] Among them, L i (t) is the basic load model corresponding to the original energy demand of the i-th user, τ is the shift time, t limit The latest completion time specified by the user for the requirement.

[0097] The load models formed by the requirements of state targets and result targets can be adjusted in a translation manner.

[0098] Segmentation means dividing the load model into two segments and moving the latter segment backward to the required position, but the end time of the load model must be within the time requirement given by the user's original energy demand.

[0099] The basic load model is regulated in a piecewise manner. Under the action of piecewise functional B, the load model after regulation is:

[0100]

[0101]

[0102] t end +Δt≤t limit

[0103] in, The start and end time of the segment respectively.

[0104] The core of dispatch control is to compare the comprehensive load model with the external green power supply model, discover the conventional energy supply gap in advance, and then fill the energy supply gap by adjusting a specific set of basic load models. Dispatch control has a high margin of control time and depth. The load model shape adjustment methods used by dispatch control are translation and segmentation. The load formed by the original energy demand of some result targets has the ability to be adjusted in both translation and segmentation. In a control operation, only one of the translation or segmentation methods is used.

[0105] The optimization objectives of the dispatch control model include minimizing the number of affected users and optimizing the control accuracy. The objective function for minimizing the number of affected users is expressed as:

[0106]

[0107] Among them, N is the total number of users, δ i is a binary variable, δ i =1, indicating that the basic load model corresponding to the original energy demand of the i-th user is adjusted, δ i =0, indicating that the basic load model corresponding to the original energy demand of the i-th user is not adjusted, that is:

[0108]

[0109] Among them, τ i is the translation time of the basic load model corresponding to the original energy demand of the i-th user, is the segment end time of the basic load model corresponding to the original energy demand of the i-th user;

[0110] The objective function with the best control accuracy is expressed as:

[0111]

[0112]

[0113] Among them, P i is the power value corresponding to the basic load model corresponding to the original energy demand of the i-th user, ΔT i is the amount of time that the basic load model corresponding to the original energy demand of the i-th user is adjusted, It is the segment start time of the basic load model corresponding to the original energy demand of the i-th user.

[0114] The above two objective functions, as the first and second optimization objectives respectively, will affect the optimization results, and the energy supply system can be adjusted according to actual needs.

[0115] The constraints of the dispatch control model include:

[0116] Adjust the object range constraints:

[0117]

[0118] In the formula, t i,start ,t i,end are the start and end time of the basic load model corresponding to the original energy demand of the i-th user, are the start and end time of the energy supply gap respectively.

[0119] Method selection constraints:

[0120]

[0121] Translation adjustment time constraint:

[0122]

[0123] Among them, t i,limit It is the latest completion time of the basic load model corresponding to the original energy demand of the i-th user.

[0124] The time constraints for the segmentation method are as follows:

[0125]

[0126] The energy gap filling constraints are as follows:

[0127]

[0128]

[0129] (b) When a power spike is formed by a sudden energy supply gap, the specific basic load model is adjusted through ultra-short-term interruption according to the peak control mechanism.

[0130] Ultra-short-term interruptions are mainly aimed at the load model formed by heat demand. By utilizing the inertia of thermal energy, the energy supply to the load is interrupted in an ultra-short term (about 5 minutes, depending on the external environment). While ensuring that user needs are met, it also responds to power spikes caused by unexpected ultra-short-term energy shortages. After the interruption, the missing energy needs to be compensated. Since the interruption time is very short and the amount of missing energy is small, energy compensation can be carried out in a gentle manner, that is, the load power after the interruption will be slightly higher than the original power, which can be regarded as approximately equal in actual operation.

[0131] Ultra-short-term interruption is used to perform peak control on the load model. Under the action of the ultra-short-term interruption functional D, the load model after control is:

[0132]

[0133] in, Respectively represent the start time and end time of the ultra-short-term interruption, t start ,t end are the start and end time of the load model, respectively.

[0134] The peak control mechanism is used to deal with power peaks caused by sudden energy supply gaps. Since the proportion of thermal load on the load side is very high and most thermal loads have the ability to be interrupted in an ultra-short term, peak control can form a considerable power reserve in a short period of time to deal with power peaks caused by external energy supply gaps. The peak control model is:

[0135]

[0136]

[0137] Where M is the total amount of load models participating in ultra-short-term interruptions, P peak (t) is the power peak function, are the start and end time of the power peak, The start and end time of the ultra-short-term interruption of the ith base load model.

[0138] The energy supply gap is filled and the load control ends. If there is still an energy supply gap, go to step (4).

[0139] (4) If there is still an energy supply gap, the energy supply system adopts an interruption control mechanism to terminate the energy supply to the load that meets the user's interruption conditions, thus ending this load control.

[0140] When the energy supply gap cannot be filled after dispatch control or peak control is adopted, the energy supply system will terminate the energy supply to the interruptible load that meets the termination conditions through interruption in accordance with the interruption control mechanism.

[0141] The interruption is only for the load model corresponding to the original energy demand that can be interrupted, and it can only be interrupted after the interruption conditions proposed by the user are met. After the demand is interrupted, the energy supply system will not compensate for the energy, that is, the demand is not completed. Therefore, for the load model, the uninterrupted part remains the same, and the power of the interrupted part becomes 0.

[0142] The energy supply gap has not been filled. The energy supply system adjusts the dispatch control model or the peak control model based on the interruption control model to increase its load control capability. The interruption mode is added to the load adjustment mode to regulate the specific basic load model that meets the interruption conditions. The load model after regulation is

[0143]

[0144]

[0145] Among them, C[·] is the interruption function, They respectively indicate that the start and end times of the interruption are affected by the interruption control model, and the original scheduling control model parameter conditions, optimization objectives, and constraints change:

[0146] Under the influence of the interruption control model, the original scheduling control model affects the number of users with the least parameter δ in the objective function. i Changes to:

[0147]

[0148] The parameter ΔT in the objective function with optimal control accuracy i Changes to

[0149]

[0150] The selection constraint changes to

[0151]

[0152] The additional interrupt adjustment constraints are as follows:

[0153]

[0154] Filling the energy gap constraint adjustment:

[0155]

[0156]

[0157] Under the influence of the interruption control model, the spike control model is updated as follows:

[0158]

[0159]

[0160] Supplementary method selection constraints:

[0161]

[0162] In order to verify the effectiveness and rationality of the method proposed in the present invention, the following examples are given:

[0163] The energy supply system compares the comprehensive load model with the upstream green power resource generation model (modulated by the comprehensive energy station energy storage system). The model power unit is unified as MW and the time unit is unified as h. It is found that there will be an energy supply gap from 3:00 to 7:00. The power function of the energy supply gap is as follows:

[0164]

[0165] The load model is as follows:

[0166] Load 1

[0167] L1(t)=32,t∈[0,12]

[0168] t 1,limit =18

[0169] As a result, the basic load model can be adjusted in sections and translationally.

[0170] Load 2

[0171] L2(t)=20,t∈[2,7]

[0172] t 2,limit =13

[0173] State target, which can be used to make translational adjustments to the base load model.

[0174] Load 3

[0175] Load 3

[0176] L3(t)=8,t∈[3,7]

[0177] t 3,limit =9

[0178] State target, which can be used to make translational adjustments to the base load model.

[0179] Load 4

[0180] Load 4

[0181] L4(t)=12,t∈[4,8]

[0182] t 4,limit =18

[0183] State target, which can be used to make translational adjustments to the base load model.

[0184] Load 5

[0185] L5(t)=5,t∈[4,7]

[0186] t 4,limit =10

[0187] As a result, the basic load model can be adjusted in sections and translationally.

[0188] Load 6

[0189] L6(t)=4,t∈[6,8]

[0190] t 4,limit =10

[0191] State target, which can be used to make translational adjustments to the base load model.

[0192] (a) The strategy that affects the least number of users:

[0193]

[0194] Through the optimization calculation of the first-level optimization target, it can be found that adjusting one basic load model can meet the energy supply gap. The solution set includes:

[0195] Solution 1:

[0196] Adjust load 1 in stages.

[0197]

[0198]

[0199]

[0200] Solution 2:

[0201] Translate load 2.

[0202] τ2=5

[0203] A[L2(t),τ2]=A[L2(t),5]=L2(t-5

[0204] Perform the second level optimization calculation on the solution set.

[0205] Solution 1:

[0206]

[0207] Solution 2:

[0208]

[0209] By comparison, using solution 2, we have:

[0210]

[0211] Therefore, solution 2 is selected as the adjustment strategy.

[0212] (b) Optimizing control accuracy as the main strategy

[0213] One layer of optimization:

[0214]

[0215] The solution is as follows:

[0216] Translate load 3.

[0217] τ3=2

[0218] A[L3(t),τ3]=A[L3(t),2]=L2(t-2)

[0219] Translate load 4.

[0220] τ4=2

[0221] A[L4(t),τ4]=A[L4(t),2]=L4(t-2)

[0222] Adjust load 5 in stages.

[0223]

[0224]

[0225]

[0226] The load 6 is formed to be translated,

[0227] τ6=0.375

[0228] After adjustment, A[L6(t),τ6]=A[L6(t),0.375]=L4(t-0.375) has:

[0229]

[0230] Since there is only one solution, there is no need to perform a second level of optimization.

[0231] Compare the two strategies:

[0232] (1) The number of users affected by the strategy with the least number of affected users is 1, which is only 25% of the number of users affected by the strategy with the best control accuracy. The amount of model calculation for a single control is greatly reduced, which is conducive to the system to generate control decisions online, and also reduces the difficulty of actual control. In most cases, the external energy supply will far exceed the load demand. Therefore, the strategy of the present invention with the least number of affected users is more suitable for conventional adjustment.

[0233] (2) The strategy of optimizing control accuracy will greatly improve the dispatching accuracy of single control. In this example, the adjustment amount of the strategy of optimizing control accuracy is 51.5MWh, which is only 51.5% of the adjustment amount of 100MWh of the strategy of minimizing the number of affected users. Higher control accuracy will reduce the impact of single control on the subsequent overall load curve and help reduce the number of control rounds. Therefore, the strategy of optimizing control accuracy is more suitable for dealing with continuous energy supply gaps.

[0234] The present invention is that the controllability of the power supply side is greatly reduced, and it is urgent to improve the controllability of the load side and increase the stability margin of the system. In order to solve this problem, the present invention proposes a load control mode based on the user's original energy demand. In this mode, the user only needs to propose the original energy demand as required to clarify the demand to form the controllable range of the load. The system will perform a greater degree of load control based on the controllable range of the load on the premise of meeting these demands. Compared with traditional load control, the load control mode proposed by the present invention will no longer rely excessively on economic incentives and user feedback on incentives, but will perform load control based on the original energy demand clearly expressed by the user and the controllable range of the load. While having a deeper degree of control and a larger range, it has inherent characteristics and advantages that satisfy users.

[0235] This paper provides a basic load model, analyzes and models four adjustment modes of load model: translation, segmentation, interruption, and ultra-short-term interruption, analyzes and models three mechanisms of load control: dispatching control, peak control, and interruption control. Finally, the application of the most common and important dispatching control model and the selection of different strategies are explained through design examples. Although this example is based on the background of all-green electricity supply, this model can also play a role in conventional energy systems.

[0236] The present invention does not analyze load model adjustment methods such as power changes because the effects of these methods can be replaced by translation, segmentation, etc. At the same time, overly detailed control will increase the system's model calculation amount, which is not conducive to rapid load adjustment and does not conform to the assumption of the present invention to meet user needs as soon as possible to stimulate green electricity consumption.

[0237] For the most common and important dispatching control model in load control, the present invention proposes two strategies, namely, the strategy of affecting the least number of users and the strategy of optimizing control accuracy. Both strategies must be used in the model calculation, but which strategy is the main one will affect the output of the result: the model calculation amount of a single control with the strategy of affecting the least number of users as the main strategy is greatly reduced, which is conducive to the system to generate control decisions online, and will also reduce the difficulty of actual control; the strategy of optimizing control accuracy as the main strategy will greatly improve the dispatching accuracy of a single control, reduce the impact of a single control on the subsequent overall load curve, and help reduce the number of control rounds. Since in a pure green electricity energy supply system, in most cases, the external energy supply will far exceed the load demand, therefore, the present invention's strategy of affecting the least number of users as the main strategy is more suitable for conventional adjustments, while the strategy of optimizing control accuracy as the main strategy is more suitable for dealing with continuous energy supply gaps.

Claims

1. A load control method based on user's original energy demand, characterized in that: The following steps are involved: (1) The user submits the original energy demand m to the energy supply system; (2) Based on the comprehensive load model of the energy supply system at the current moment and the external green power supply model P out (t) Determine the basic load model L corresponding to the user's original energy demand m m (t): (3) The basic load model L corresponding to the user's original energy demand m m (t) Comprehensive load model L with energy supply system added ∑ (t), the updated comprehensive load model L′ is obtained Σ (t); (4) The updated comprehensive load model L′ ∑ (t) is compared with the external green power supply model at the current moment. When a supply gap occurs, if the supply gap is a regular supply gap, based on the dispatch control model, a shift or segmentation dispatch control is adopted; if the supply gap is a sudden supply gap and forms a power peak, based on the peak control model, an ultra-short-term interruption is adopted for peak control; the supply gap is filled and the load control ends. If there is still an energy supply gap, enter step (5); (5) If the energy supply gap is not filled, the energy supply system adjusts the dispatching control model or the peak control model based on the interruption control model to increase its load control capability, adds an interruption mode to the load adjustment mode, regulates the specific basic load model that meets the interruption conditions, and ends this load control.

2. The load control method based on the user's original energy demand according to claim 1 is characterized in that: The original energy demand includes the description information of the demand, the standard requirements for demand realization, the time requirements of the demand, the target type of the demand, and the user-defined interruptibility and interruption conditions.

3. The load control method based on the user's original energy demand according to claim 1 is characterized in that: In step (2), the basic load model corresponding to the user's original energy demand is: Among them, L m (t) is the basic load model corresponding to the user's original energy demand m; P m For L m (t) The corresponding power value, P out (t) is the external green electricity supply model; L ∑ (t) is the comprehensive load model; t start ,t end are the start and end time of the base load model, respectively.

4. The load control method based on the user's original energy demand according to claim 3 is characterized in that: In step (3), the updated comprehensive load model L′ Σ (t) is L′ ∑ (t)=L ∑ (t)+L m (t)。 5. The load control method based on the user's original energy demand according to claim 4 is characterized in that: In step (4), the load model is adjusted by translation, and the load model after adjustment is: A[L i (t),τ]=L i (t-t) 0≤τ≤t limit -t end +t satrt Among them, A[·] is the translation function, L i (t) is the load model corresponding to the original energy demand of the i-th user, τ is the shift time, t limit The latest completion time specified by the user for the requirement.

6. The load control method based on the user's original energy demand according to claim 4 is characterized in that: In step (4), the basic load model is regulated in a segmented manner, and the load model after regulation is: t end +Δt≤t limit Among them, B[·] is a piecewise universal function, The start and end time of the segment respectively.

7. The load control method based on the user's original energy demand according to claim 5 or 6, characterized in that: In step (4), the optimization objectives of the dispatch control model include minimizing the number of affected users and optimizing the control accuracy. The objective function for minimizing the number of affected users is as follows: Among them, N is the total number of users, δ i is a binary variable, δ i =1, indicating that the i-th basic load model is adjusted, δ i =0, indicating that the basic load model corresponding to the original energy demand of the i-th user is not adjusted; τ i is the translation time of the basic load model corresponding to the original energy demand of the i-th user, is the segment end time of the basic load model corresponding to the original energy demand of the i-th user; The objective function for optimal control accuracy is as follows: Among them, P i is the power value corresponding to the basic load model corresponding to the original energy demand of the i-th user, ΔT i is the amount of time that the basic load model corresponding to the original energy demand of the i-th user is adjusted, It is the segment start time of the basic load model corresponding to the original energy demand of the i-th user.

8. The load control method based on the user's original energy demand according to claim 7 is characterized in that: In step (4), adjust the object range constraints as follows: The constraints for selecting the method are as follows: Among them, t i，start ,t i，end They represent the start and end time of the basic load model corresponding to the original energy demand of the i-th user, Respectively represent the start and end time of the energy supply gap; The time constraints for the translation method are as follows: Among them, t i，limit is the latest completion time of the basic load model corresponding to the original energy demand of the i-th user; The time constraints for the segmentation method are as follows: The energy gap filling constraints are as follows: Among them, P def (t) is the conventional energy supply gap model.

9. The load control method based on the user's original energy demand according to claim 8 is characterized in that: In step (4), ultra-short-term interruption is used to perform peak control on the load model. The load model after control is: Where D[·] is the ultra-short-term interruption function, Respectively represent the start time and end time of the ultra-short-term interruption, t start ,t end are the start and end time of the load model respectively; The peak control model is Where M is the total amount of the basic load model participating in the ultra-short-term interruption, P peak (t) is the power peak function, Respectively represent the start and end time of the power peak, They represent the start and end time of the ultra-short-term interruption of the ith basic load model respectively.

10. The load control method based on the user's original energy demand according to claim 9 is characterized in that: In step (5), if the energy supply gap is not filled, the energy supply system adjusts the dispatch control model or the peak control model based on the interruption control model to increase its load control capability, and adds an interruption mode to the load adjustment mode to regulate the specific basic load model that meets the interruption conditions. The load model after regulation is Among them, C[·] is the interruption function, Respectively indicate the start and end time of the interruption; Under the influence of the interruption control model, the original scheduling control model affects the number of users with the least parameter δ in the objective function. i Changes to: The parameter ΔT in the objective function with optimal control accuracy i Changes to The selection constraint changes to The additional interrupt adjustment constraints are as follows: Filling the energy gap constraint adjustment: Under the influence of the interruption control model, the spike control model is updated as follows: Supplementary method selection constraints:

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