Load regulation and control method and device based on adjustable load resource optimization

Abstract

The invention relates to the technical field of load regulation and control, and particularly provides a load regulation and control method and device based on adjustable load resource optimization, and the method comprises the steps: solving a pre-constructed load regulation and control model through employing a differentiation creative search algorithm, and obtaining an optimization result corresponding to an adjustable load resource; based on the optimization result corresponding to the adjustable load resource, obtaining an optimized operation scheme corresponding to the adjustable load resource; wherein the adjustable load resource comprises at least one of a reducible load, a transferable load and a transferable load. The technical scheme provided by the invention covers various load resources, can perform classification regulation and control more perfectly, adopts a differentiation creative search algorithm to perform optimization for a more complex load regulation and control model, has a better optimization effect, can establish an optimal regulation and control scheme for various scenes such as enterprises / regions and the like, has universal applicability, and is suitable for popularization and application. And the power utilization pressure can be effectively reduced, so that the stability of a power grid is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of load regulation, and in particular to a load regulation method and device based on optimization of adjustable load resources. Background Art

[0002] Using adjustable load resources to encourage users to participate in demand response through incentives such as electricity prices is called load regulation. It plays a vital role in ensuring the stable operation of the power grid and alleviating the pressure on electricity consumption. Due to the issuance of time-of-use electricity prices a day ago, when users participate in demand response to carry out load operation, they need to consider their own response capabilities and cost issues. It is a priority for users to participate in adjustable load regulation without affecting production plans and reducing their own electricity costs. Different load classifications and different constraints in the adjustable load resource pool affect the demand response capability. Based on the constraints, the most important issue is to optimize the participation of different loads in demand response and find the optimal regulation plan.

[0003] At present, since differentiated resources are difficult to regulate in a unified manner, many optimization algorithms only regulate different types of loads separately. Therefore, there is an urgent need for a load regulation method that can unify differentiated resources. Summary of the invention

[0004] In order to overcome the above-mentioned defects, the present invention proposes a load control method and device based on optimization of adjustable load resources.

[0005] In a first aspect, a load control method based on optimization of adjustable load resources is provided, wherein the load control method based on optimization of adjustable load resources comprises:

[0006] A differentiated creative search algorithm is used to solve the pre-built load regulation model and obtain the optimization results corresponding to the adjustable load resources;

[0007] Based on the optimization result corresponding to the adjustable load resource, an optimized operation plan corresponding to the adjustable load resource is obtained;

[0008] The adjustable load resources include at least one of the following: a curtailable load, a transferable load, and a shiftable load.

[0009] Preferably, the optimization results corresponding to the reducible load include: the load reduction identifier and the load reduction amount at each moment in the scheduling cycle; the optimization results corresponding to the transferable load include: the load transfer identifier and the load transfer amount at each moment in the scheduling cycle; the optimization results corresponding to the shiftable load include: the load shift amount and the load shift identifier at each moment in the scheduling cycle.

[0010] Preferably, the pre-built load regulation model includes: an objective function with the goal of minimizing the electricity purchase cost and its corresponding constraints.

[0011] Furthermore, the objective function is as follows:

[0012] min(load DR ·C ToU )

[0013] In the above formula, load DR is the load demand after demand response, C ToU It is the time-of-use electricity price.

[0014] Furthermore, the constraint conditions include: a reducible load constraint, a transferable load constraint and a translatable load constraint.

[0015] Furthermore, the load constraints that can be reduced are as follows:

[0016] 0.5×P cut,max ·U cut (T cut,start :T cut,end )≤P cut ·U cut (T cut,start :T cut,end )

[0017] P cut ·U cut (T cut,start :T cut,end )≤P cut,max

[0018] T cut,min ≤∑U cut (T cut,start :T cut,end )≤T cut,max

[0019]

[0020] In the above formula, P cut,max is the maximum load reduction, U cut (T cut,start :T cut,end ) is the load reduction mark at each moment from the reduction start time to the reduction end time, P cut is the unit load reduction, T cut,start To reduce the start time, T cut,end To reduce the end time, U cut (t) is the load reduction mark at time t, T cut,min is the shortest continuous reduction time, T cut,max is the longest continuous reduction time, Ncut,max is the maximum number of reductions.

[0021] Furthermore, the transferable load constraints are as follows:

[0022] -P trans,max ·U trans (T trans,start :T trans,end )≤P trans (T trans,start :T trans,end )

[0023] P trans (T trans,start :T trans,end )≤P trans,max ·U trans (T trans,start ,T trans,end )

[0024] ∑P trans (T trans,start :T trans,end )=0

[0025] ∑U trans (T trans,start :T trans,end )≥T trans,min

[0026] In the above formula, P trans,max is the maximum load transfer, U trans (T trans,start :T trans,end ) is the load transfer mark at each time from the transfer start time to the transfer end time, P trans (T trans,start :T trans,end ) is the load transfer amount at each moment from the transfer start time to the transfer end time, T trans,start is the transfer start time, T trans,end is the transfer end time, T trans,min is the minimum continuous time of transfer.

[0027] Furthermore, the translation load constraint is as follows:

[0028]

[0029] In the above formula, P shift (i:j) is the load translation from time i to time j, P shift (t) is the load displacement at time t, U shift (t) is the load translation symbol at time t, T shift,max is the maximum translation continuous time, i is the translation start time, and j is the translation end time.

[0030] In a second aspect, a load control device based on optimization of adjustable load resources is provided, wherein the load control device based on optimization of adjustable load resources comprises:

[0031] The first analysis module is used to solve the pre-built load regulation model using a differentiated creative search algorithm to obtain an optimization result corresponding to the adjustable load resource;

[0032] A second analysis module is used to obtain an optimized operation plan corresponding to the adjustable load resource based on the optimization result corresponding to the adjustable load resource;

[0033] The adjustable load resources include at least one of the following: a curtailable load, a transferable load, and a shiftable load.

[0034] Preferably, the optimization results corresponding to the reducible load include: the load reduction identifier and the load reduction amount at each moment in the scheduling cycle; the optimization results corresponding to the transferable load include: the load transfer identifier and the load transfer amount at each moment in the scheduling cycle; the optimization results corresponding to the shiftable load include: the load shift amount and the load shift identifier at each moment in the scheduling cycle.

[0035] Preferably, the pre-built load regulation model includes: an objective function with the goal of minimizing the electricity purchase cost and its corresponding constraints.

[0036] Furthermore, the objective function is as follows:

[0037] min(load DR ·C ToU )

[0038] In the above formula, load DR is the load demand after demand response, C ToU It is the time-of-use electricity price.

[0039] Furthermore, the constraint conditions include: a reducible load constraint, a transferable load constraint and a translatable load constraint.

[0040] Furthermore, the load constraints that can be reduced are as follows:

[0041] 0.5×P cut,max ·U cut (T cut,start :T cut,end )≤P cut ·U cut (T cut,start :T cut,end )

[0042] P cut ·U cut(T cut,start :T cut,end )≤P cut,max

[0043] T cut,min ≤∑U cut (T cut,start :T cut,end )≤T cut,max

[0044]

[0045] In the above formula, P cut,max is the maximum load reduction, U cut (T cut,start :T cut,end ) is the load reduction mark at each moment from the reduction start time to the reduction end time, P cut is the unit load reduction, T cut,start To reduce the start time, T cut,end To reduce the end time, U cut (t) is the load reduction mark at time t, T cut,min is the shortest continuous reduction time, T cut,max is the longest continuous reduction time, N cut,max is the maximum number of reductions.

[0046] Furthermore, the transferable load constraints are as follows:

[0047] -P trans,max ·U trans (T trans,start :T trans,end )≤P trans (T trans,start :T trans,end )

[0048] P trans (T trans,start :T trans,end )≤P trans,max ·U trans (T trans,start ,T trans,end )

[0049] ∑P trans (T trans,start :T trans,end )=0

[0050] ∑U trans (T trans,start :T trans,end )≥T trans,min

[0051] In the above formula, P trans,max is the maximum load transfer, Utrans (T trans,start :T trans,end ) is the load transfer mark at each time from the transfer start time to the transfer end time, P trans (T trans,start :T trans,end ) is the load transfer amount at each moment from the transfer start time to the transfer end time, T trans,start is the transfer start time, T trans,end is the transfer end time, T trans,min is the minimum continuous time of transfer.

[0052] Furthermore, the translation load constraint is as follows:

[0053]

[0054] In the above formula, P shift (i:j) is the load translation from time i to time j, P shift (t) is the load displacement at time t, U shift (t) is the load translation symbol at time t, T shift,max is the maximum translation continuous time, i is the translation start time, and j is the translation end time.

[0055] In a third aspect, a computer device is provided, comprising: one or more processors;

[0056] The processor is configured to execute one or more programs;

[0057] When the one or more programs are executed by the one or more processors, the load control method based on adjustable load resource optimization is implemented.

[0058] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed, the load control method based on the optimization of adjustable load resources is implemented.

[0059] The above one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

[0060] The present invention provides a load control method and device based on the optimization of adjustable load resources, including: using a differentiated creative search algorithm to solve a pre-constructed load control model to obtain an optimization result corresponding to the adjustable load resource; based on the optimization result corresponding to the adjustable load resource, obtaining an optimized operation plan corresponding to the adjustable load resource; wherein the adjustable load resource includes at least one of the following: a reducible load, a transferable load, and a shiftable load. The technical solution provided by the present invention covers a variety of load resources and can be classified and controlled more perfectly. For a more complex load control model, a differentiated creative search algorithm is used for optimization, which has a good optimization effect. For a variety of scenarios such as enterprises / regions, the optimal control plan can be established well, has universal applicability, and can effectively reduce the pressure on electricity consumption, thereby ensuring the stability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a flow chart of main steps of a load control method based on optimization of adjustable load resources according to an embodiment of the present invention. DETAILED DESCRIPTION

[0062] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0063] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] As disclosed in the background technology, using adjustable load resources to encourage users to participate in demand response through incentives such as electricity prices is called load regulation. It plays a vital role in ensuring the stable operation of the power grid and alleviating the pressure on electricity consumption. Due to the issuance of time-of-use electricity prices a day ago, when users participate in demand response to carry out load operation, they need to consider their own response capabilities and cost issues. It is a priority for users to join the adjustable load regulation without affecting the production plan and reducing their own electricity costs. The classification of different loads in the adjustable load resource pool and the addition of different constraints all affect the demand response capability. Based on the constraints, the participation of different loads in demand response is optimized. Finding the optimal regulation scheme is the most important issue.

[0065] At present, since differentiated resources are difficult to regulate in a unified manner, many optimization algorithms only regulate different types of loads separately. Therefore, there is an urgent need for a load regulation method that can unify differentiated resources.

[0066] In order to improve the above-mentioned problems, the present invention provides a load control method and device based on the optimization of adjustable load resources, including: using a differentiated creative search algorithm to solve a pre-constructed load control model to obtain an optimization result corresponding to the adjustable load resource; based on the optimization result corresponding to the adjustable load resource, obtaining an optimized operation plan corresponding to the adjustable load resource; wherein the adjustable load resource includes at least one of the following: a reducible load, a transferable load, and a shiftable load. The technical solution provided by the present invention covers a variety of load resources and can be classified and controlled more perfectly. For a more complex load control model, a differentiated creative search algorithm is used for optimization, which has a better optimization effect. For a variety of scenarios such as enterprises / regions, the optimal control plan can be established well, which has universal applicability and can effectively reduce the pressure on electricity consumption, thereby ensuring the stability of the power grid.

[0067] The above scheme is described in detail below.

[0068] Example 1

[0069] See attached Figure 1 , Figure 1 FIG. 1 is a flow chart of the main steps of a load control method based on optimization of adjustable load resources according to an embodiment of the present invention. Figure 1 As shown, the load control method based on adjustable load resource optimization in the embodiment of the present invention mainly includes the following steps:

[0070] Step S101: using a differentiated creative search algorithm to solve a pre-built load regulation model to obtain an optimization result corresponding to an adjustable load resource;

[0071] Step S102: based on the optimization result corresponding to the adjustable load resource, obtaining an optimized operation plan corresponding to the adjustable load resource;

[0072] The adjustable load resources include at least one of the following: a curtailable load, a transferable load, and a shiftable load.

[0073] In this embodiment, the optimization results corresponding to the reducible load include: the load reduction identifier and the load reduction amount at each moment in the scheduling period; the optimization results corresponding to the transferable load include: the load transfer identifier and the load transfer amount at each moment in the scheduling period; the optimization results corresponding to the shiftable load include: the load shift amount and the load shift identifier at each moment in the scheduling period.

[0074] In this embodiment, the pre-built load regulation model includes: an objective function with the goal of minimizing the electricity purchase cost and its corresponding constraint conditions.

[0075] In one embodiment, the objective function is as follows:

[0076] min(load DR ·C ToU )

[0077] In the above formula, load DR is the load demand after demand response, C ToU It is the time-of-use electricity price.

[0078] In one embodiment, the constraints include: a reducible load constraint, a transferable load constraint, and a translatable load constraint.

[0079] In one embodiment, the curtailable load constraint is as follows:

[0080] 0.5×P cut,max ·U cut (T cut,start :T cut,end )≤P cut ·U cut (T cut,start :T cut,end )

[0081] P cut ·U cut (T cut,start :T cut,end )≤P cut,max

[0082] T cut,min ≤∑U cut (T cut,start :T cut,end )≤T cut,max

[0083]

[0084] In the above formula, P cut,max is the maximum load reduction, U cut (T cut,start :T cut,end ) is the load reduction mark at each moment from the reduction start time to the reduction end time, P cut is the unit load reduction, T cut,start To reduce the start time, T cut,end To reduce the end time, U cut (t) is the load reduction mark at time t, T cut,min is the shortest continuous reduction time, T cut,max is the longest continuous reduction time, N cut,max is the maximum number of reductions.

[0085] In one embodiment, the transferable load constraints are as follows:

[0086] -P trans,max ·U trans (T trans,start :T trans,end )≤P trans (T trans,start :T trans,end )

[0087] P trans (T trans,start :T trans,end )≤P trans,max ·U trans (T trans,start ,T trans,end )

[0088] ∑P trans (T trans,start :T trans,end )=0

[0089] ∑U trans (T trans,start :T trans,end )≥T trans,min

[0090] In the above formula, P trans,max is the maximum load transfer, U trans (T trans,start :T trans,end ) is the load transfer mark at each time from the transfer start time to the transfer end time, P trans (T trans,start :T trans,end ) is the load transfer amount at each moment from the transfer start time to the transfer end time, T trans,start is the transfer start time, T trans,end is the transfer end time, T trans,min is the minimum continuous time of transfer.

[0091] In one embodiment, the translatable load constraint is as follows:

[0092]

[0093] In the above formula, P shift (i:j) is the load translation from time i to time j, P shift (t) is the load displacement at time t, U shift (t) is the load translation symbol at time t, T shift,max is the maximum translation continuous time, i is the translation start time, and j is the translation end time.

[0094] Example 2

[0095] Based on the same inventive concept, the present invention further provides a load control device based on optimization of adjustable load resources, the load control device based on optimization of adjustable load resources comprising:

[0096] The first analysis module is used to solve the pre-built load regulation model using a differentiated creative search algorithm to obtain an optimization result corresponding to the adjustable load resource;

[0097] A second analysis module is used to obtain an optimized operation plan corresponding to the adjustable load resource based on the optimization result corresponding to the adjustable load resource;

[0098] The adjustable load resources include at least one of the following: a curtailable load, a transferable load, and a shiftable load.

[0099] Preferably, the optimization results corresponding to the reducible load include: the load reduction identifier and the load reduction amount at each moment in the scheduling cycle; the optimization results corresponding to the transferable load include: the load transfer identifier and the load transfer amount at each moment in the scheduling cycle; the optimization results corresponding to the shiftable load include: the load shift amount and the load shift identifier at each moment in the scheduling cycle.

[0100] Preferably, the pre-built load regulation model includes: an objective function with the goal of minimizing the electricity purchase cost and its corresponding constraints.

[0101] Furthermore, the objective function is as follows:

[0102] min(load DR ·C ToU )

[0103] In the above formula, load DR is the load demand after demand response, C ToU It is the time-of-use electricity price.

[0104] Furthermore, the constraint conditions include: a reducible load constraint, a transferable load constraint and a translatable load constraint.

[0105] Furthermore, the load constraints that can be reduced are as follows:

[0106] 0.5×P cut,max ·U cut (T cut,start :T cut,end )≤P cut ·U cut (T cut,start :T cut,end )

[0107] P cut ·U cut (T cut,start:T cut,end )≤P cut,max

[0108] T cut,min ≤∑U cut (T cut,start :T cut,end )≤T cut,max

[0109]

[0110] In the above formula, P cut,max is the maximum load reduction, U cut (T cut,start :T cut,end ) is the load reduction mark at each moment from the reduction start time to the reduction end time, P cut is the unit load reduction, T cut,start To reduce the start time, T cut,end To reduce the end time, U cut (t) is the load reduction mark at time t, T cut,min is the shortest continuous reduction time, T cut,max is the longest continuous reduction time, N cut,max is the maximum number of reductions.

[0111] Furthermore, the transferable load constraints are as follows:

[0112] -P trans,max ·U trans (T trans,start :T trans,end )≤P trans (T trans,start :T trans,end )

[0113] P trans (T trans,start :T trans,end )≤P trans,max ·U trans (T trans,start ,T trans,end )

[0114] ∑P trans (T trans,start :T trans,end )=0

[0115] ∑U trans (T trans,start :T trans,end )≥T trans,min

[0116] In the above formula, P trans,max is the maximum load transfer, U trans (Ttrans,start :T trans,end ) is the load transfer mark at each time from the transfer start time to the transfer end time, P trans (T trans,start :T trans,end ) is the load transfer amount at each moment from the transfer start time to the transfer end time, T trans,start is the transfer start time, T trans,end is the transfer end time, T trans,min is the minimum continuous time of transfer.

[0117] Furthermore, the translation load constraint is as follows:

[0118]

[0119] In the above formula, P shift (i:j) is the load translation from time i to time j, P shift (t) is the load displacement at time t, U shift (t) is the load translation symbol at time t, T shift,max is the maximum translation continuous time, i is the translation start time, and j is the translation end time.

[0120] Example 3

[0121] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of a load control method based on adjustable load resource optimization in the above embodiment.

[0122] Example 4

[0123] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It can be understood that the computer-readable storage medium here can include both built-in storage media in a computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of a load control method based on adjustable load resource optimization in the above embodiment.

[0124] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0125] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0126] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0127] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0128] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A load control method based on optimization of adjustable load resources, characterized in that: The method comprises: A differentiated creative search algorithm is used to solve the pre-built load regulation model and obtain the optimization results corresponding to the adjustable load resources; Based on the optimization result corresponding to the adjustable load resource, an optimized operation plan corresponding to the adjustable load resource is obtained; The adjustable load resources include at least one of the following: a curtailable load, a transferable load, and a shiftable load.

2. The method according to claim 1, characterized in that The optimization results corresponding to the reducible load include: the load reduction identifier and load reduction amount at each moment in the scheduling cycle; the optimization results corresponding to the transferable load include: the load transfer identifier and load transfer amount at each moment in the scheduling cycle; the optimization results corresponding to the shiftable load include: the load shift amount and load shift identifier at each moment in the scheduling cycle.

3. The method according to claim 1, characterized in that The pre-built load regulation model includes: an objective function with the goal of minimizing the electricity purchase cost and its corresponding constraints.

4. The method according to claim 3, characterized in that The objective function is as follows: min(load DR ·C ToU ) In the above formula, load DR is the load demand after demand response, C ToU It is the time-of-use electricity price.

5. The method according to claim 3, characterized in that The constraints include: reducible load constraints, transferable load constraints and translatable load constraints.

6. The method according to claim 5, characterized in that The curtailable load constraints are as follows: 0.5×P cut,max ·U cut (T cut,start :T cut,end )≤P cut ·U cut (T cut,start :T cut,end ) P cut ·U cut (T cut,start :T cut,end )≤P cut,max T cut,min ≤∑U cut (T cut,start :T cut,end )≤T cut,max In the above formula, P cut,max is the maximum load reduction, U cut (T cut,start :T cut,end ) is the load reduction mark at each moment from the reduction start time to the reduction end time, P cut is the unit load reduction, T cut,start To reduce the start time, T cut,end To reduce the end time, U cut (t) is the load reduction mark at time t, T cut,min is the shortest continuous reduction time, T cut,max is the longest continuous reduction time, N cut,max is the maximum number of reductions.

7. The method according to claim 5, characterized in that The transferable load constraints are as follows: -P trans,max ·U trans (T trans,start :T trans,end )≤P trans (T trans,start :T trans,end ) P trans (T trans,start :T trans,end )≤P trans,max ·U trans (T trans,start ,T trans,end ) ∑P trans (T trans,start :T trans,end )=0 ∑U trans (T trans,start :T trans,end )≥T trans,min In the above formula, P trans,max is the maximum load transfer, U trans (T trans,start :T trans,end ) is the load transfer mark at each time from the transfer start time to the transfer end time, P trans (T trans,start :T trans,end ) is the load transfer amount at each moment from the transfer start time to the transfer end time, T trans,start is the transfer start time, T trans,end is the transfer end time, T trans,min is the minimum continuous time of transfer.

8. The method according to claim 5, characterized in that The translatable load constraints are as follows: In the above formula, P shift (i:j) is the load translation from time i to time j, P shift (t) is the load displacement at time t, U shift (t) is the load translation symbol at time t, T shift,max is the maximum translation continuous time, i is the translation start time, and j is the translation end time.

9. A load control device based on adjustable load resource optimization, characterized in that: The device comprises: The first analysis module is used to solve the pre-built load regulation model using a differentiated creative search algorithm to obtain an optimization result corresponding to the adjustable load resource; A second analysis module is used to obtain an optimized operation plan corresponding to the adjustable load resource based on the optimization result corresponding to the adjustable load resource; The adjustable load resources include at least one of the following: a curtailable load, a transferable load, and a shiftable load.

10. The device according to claim 9, characterized in that The optimization results corresponding to the reducible load include: the load reduction identifier and load reduction amount at each moment in the scheduling cycle; the optimization results corresponding to the transferable load include: the load transfer identifier and load transfer amount at each moment in the scheduling cycle; the optimization results corresponding to the shiftable load include: the load shift amount and load shift identifier at each moment in the scheduling cycle.

11. The device according to claim 9, characterized in that The pre-built load regulation model includes: an objective function with the goal of minimizing the electricity purchase cost and its corresponding constraints.

12. The device according to claim 11, characterized in that The objective function is as follows: min(load DR ·C ToU ) In the above formula, load DR is the load demand after demand response, C ToU It is the time-of-use electricity price.

13. The device according to claim 11, characterized in that The constraints include: reducible load constraints, transferable load constraints and translatable load constraints.

14. The device according to claim 13, characterized in that The curtailable load constraints are as follows: 0.5×P cut,max ·U cut (T cut,start :T cut,end )≤P cut ·U cut (T cut,start :T cut,end ) P cut ·U cut (T cut,start :T cut,end )≤P cut,max T cut,min ≤∑U cut (T cut,start :T cut,end )≤T cut,max In the above formula, P cut,max is the maximum load reduction, U cut (T cut,start :T cut,end ) is the load reduction mark at each moment from the reduction start time to the reduction end time, P cut is the unit load reduction, T cut,start To reduce the start time, T cut,end To reduce the end time, U cut (t) is the load reduction mark at time t, T cut,min is the shortest continuous reduction time, T cut,max is the longest continuous reduction time, N cut,max is the maximum number of reductions.

15. The device according to claim 13, characterized in that The transferable load constraints are as follows: -P trans,max ·U trans (T trans,start :T trans,end )≤P trans (T trans,start :T trans,end ) P trans (T trans,start :T trans,end )≤P trans,max ·U trans (T trans,start ,T trans,end ) ∑P trans (T trans,start :T trans,end )=0 ∑U trans (T trans,start :T trans,end )≥T trans,min In the above formula, P trans,max is the maximum load transfer, U trans (T trans,start :T trans,end ) is the load transfer mark at each time from the transfer start time to the transfer end time, P trans (T trans,start :T trans,end ) is the load transfer amount at each moment from the transfer start time to the transfer end time, T trans,start is the transfer start time, T trans,end is the transfer end time, T trans,min is the minimum continuous time of transfer.

16. The device according to claim 13, characterized in that The translatable load constraints are as follows: In the above formula, P shift (i:j) is the load translation from time i to time j, P shift (t) is the load displacement at time t, U shift (t) is the load translation symbol at time t, T shift,max is the maximum translation continuous time, i is the translation start time, and j is the translation end time.

17. A computer device, characterized in that: include: one or more processors; The processor is configured to execute one or more programs; When the one or more programs are executed by the one or more processors, the load control method based on adjustable load resource optimization as described in any one of claims 1 to 8 is implemented.

18. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the load control method based on the optimization of adjustable load resources as described in any one of claims 1 to 8 is implemented.

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