Air conditioning load adjustable potential control method for suppressing rebound effect

Abstract

The application discloses a kind of air conditioning load adjustable potential control methods of dampening rebound effect, belong to air conditioning load control technical field, based on air conditioning load power and temperature data, quantification different load in different outdoor temperature under temperature-power acceptable interval, adjustable potential interval is evaluated by reference operating power, the reduction of load should be in adjustable potential interval;With the target of guaranteeing the deserved benefit of load user under different reduction, build load load incentive cost model, and with the minimum value of load incentive cost and communication cost as the target, load selection model is established to select load user to participate in demand side response;With hour as scale, load user is divided into reserve pool, reduction pool and recovery pool, and load user is selected in rotation to participate in demand side response, the application is from statistical point of view, evaluates air conditioning load adjustable potential, and through the development of time sequence cycle control strategy, reduces the impact of electricity rebound phenomenon on power grid after demand side response ends.

Description

Technical Field

[0001] This invention belongs to the field of air conditioning load control technology, specifically relating to a method for controlling the adjustable potential of air conditioning load to mitigate rebound effects. Background Technology

[0002] With the continuous development of technology, air conditioning load is an important demand-side response resource. However, the high uncertainty of load electricity consumption behavior poses a huge challenge to the assessment of power companies' adjustable potential and the formulation of control strategies. Current research on demand-side response focuses on the timing of demand-side response and pays little attention to the impact of the rebound effect after demand-side response on the power grid.

[0003] In addition, current research on mitigating the rebound effect mainly focuses on directly controlling the load. However, directly controlling the load requires high-end hardware. Without adding specialized equipment, load aggregators find it difficult to accurately control the operating status of air conditioners, which has an adverse impact on demand-side response control. Therefore, this paper proposes a method for controlling the adjustable potential of air conditioning load to mitigate the rebound effect. Summary of the Invention

[0004] In view of the shortcomings of the prior art, the purpose of this invention is to provide a method for controlling the adjustable potential of air conditioning load to mitigate the rebound effect.

[0005] The objective of this invention can be achieved through the following technical solution: a method for controlling the adjustable potential of air conditioning load to mitigate the rebound effect, the method comprising the following steps:

[0006] Two characteristic data points, air conditioning load operating power and outdoor temperature, are selected from the historical load data of load users and the weather data recorded by the weather station to form a temperature-air conditioning load operating power mapping. The temperature-power acceptable range of air conditioning load operating power under different outdoor temperatures is quantified by fitting the distribution. The adjustable potential range of air conditioning load under different outdoor temperatures is obtained by the difference between the operating power and the lower limit of the temperature-power acceptable range. The adjustable potential range of air conditioning load is used to limit the range of values ​​for air conditioning load reduction.

[0007] The ease of load reduction is measured by the frequency of air conditioning load operating power at different outdoor temperatures. The adjustable potential range is divided into an easy reduction range and a general reduction range based on the difference between the actual operating power and the acceptable temperature-power range. Different load incentive cost models are built according to the reduction amount in different ranges. A load selection model is established with the goal of minimizing the sum of load incentive cost and communication cost. The load selection model is used to select load users to participate in demand-side response.

[0008] A fixed selection period is set, and load users are divided into a standby pool, a reduction pool, and a recovery pool. Based on the load selection model results, load users are selected in rotation to participate in demand-side response. Selected load users reduce power according to the reduction strategy obtained from the load selection model, while unselected load users maintain their original power operation.

[0009] Preferably, a temperature-power mapping is formed by combining the operating power of the air conditioning load and the outdoor temperature through time-series relationships. The temperature-power mapping is divided according to every ΔT degrees Celsius. The set of all air conditioning load operating powers of load i in the temperature range of [T-ΔT / 2, T+ΔT / 2] is defined as dataset X. i,T The dataset X is fitted using a uniform distribution. i,T , dataset X i,T Sort the data, then divide it into four parts using quartiles. Based on the frequency of data occurrences, divide the interval [Q1] between the first and third quartiles. i,T Q3 i,T The temperature-power acceptable range of the load at outdoor temperature T is considered as the temperature-power acceptable range. The temperature-power acceptable range reflects the tolerance of different load users. The lower limit of the acceptable range provides a basis for assessing the upper limit of the adjustable potential range, and the upper limit of the acceptable range provides a basis for dividing the easily reduced range and the general reduced range.

[0010] Preferably, the process of obtaining the adjustable potential range of air conditioning load at different outdoor temperatures based on the difference between operating power and the lower limit of the acceptable temperature-power range includes the following steps:

[0011] Based on the actual operating power P of load i i,on And the lower limit of the acceptable temperature-power range Q1 obtained from the fitted distribution. i,T The difference assesses the power adjustable potential range of the load [0, P]. i,max The reduction in air conditioning load for different loads should be within the adjustable potential range; when P i,on Q1 i,T At that time, the air conditioner operating power P i,on To the lower limit of the acceptable range Q1 i,T The difference is defined as the upper limit P of the load adjustable potential range. i,max When P i,on ≤Q1 i,T At that time, the upper limit P of the load adjustable potential range i,max Set to 0.

[0012] Preferably, the process of dividing the adjustable potential range into an easy-to-cut range and a general-cut range includes the following steps:

[0013] Q3 i,TThis indicates the upper limit of the acceptable temperature-power range, when P i,on Q3 i,T At that time, the air conditioner operating power P i,on With the upper limit of the acceptable range Q3 i,T The difference is defined as the upper limit P of the range where the load is easily reduced. i,min When P i,on ≤Q3 i,T At that time, the upper limit P of the load reduction zone is easily achieved. i,min Set to 0; by 0 and P i,min The interval [0, P] is formed i,min This refers to the range where the air conditioning load i can be easily reduced; [P] i,min With P i,max The interval [P] formed i,min ,P i,max This refers to the general reduction range of air conditioning load i.

[0014] Preferably, the established load incentive cost model is as follows:

[0015]

[0016] In the formula, P i Let be the reduction amount of air conditioning load i, α be the coefficient for linear growth of incentive costs, β be the coefficient for exponential growth of incentive costs, and P be the coefficient for exponential growth of incentive costs. i,min To facilitate the reduction of the upper limit of the air conditioning load i range, P i,max This represents the upper limit of the general reduction range for air conditioning load i.

[0017] Preferably, the established load selection model takes the following form:

[0018]

[0019]

[0020] 0≤p i ≤P i,max i = 1, 2, ..., n

[0021]

[0022] Where P is the power reduction required by the power grid control, n represents the number of loads, and x i For 0-1 variables, when x i =1 indicates that the load user has been selected, otherwise, they have not been selected. δ represents the communication cost coefficient.

[0023] Preferably, a fixed duration is set as the selection cycle, and load users are divided into a standby pool, a reduction pool, and a recovery pool. Based on the load selection model results, the process of rotating load users to participate in demand-side response includes the following steps:

[0024] All load users are divided into a backup pool, a reduction pool, and a recovery pool, and a load selection is performed every hour;

[0025] The recovery pool load users from the previous moment were moved into the backup pool for selection, and a control strategy was formulated to select load users to participate in demand-side response air conditioning load power reduction.

[0026] Based on the load selection model, load users are selected from the reduction pool to participate in demand-side response. Selected load users enter the reduction pool and their power is reduced according to the established power reduction control strategy. Unselected load users remain in the reserve pool and maintain their original power operation.

[0027] The load users selected in the previous moment are placed into the recovery pool and their original power is restored.

[0028] An apparatus comprising:

[0029] One or more processors;

[0030] Memory, used to store one or more programs;

[0031] When one or more of the programs are executed by one or more of the processors, the one or more processors implement an air conditioning load adjustable potential control method as described above to mitigate the rebound effect.

[0032] A storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform an air conditioning load adjustable potential control method for mitigating rebound effects as described above.

[0033] An air conditioning load adjustable potential control device for mitigating rebound effects includes:

[0034] The data acquisition module is used to acquire air conditioning load operating power and outdoor temperature data;

[0035] The first construction module is used to combine the operating power of the air conditioning load and the outdoor temperature data through time-series relationships to form a temperature-power mapping and to construct an acceptable temperature-power range for the air conditioning load.

[0036] The second construction module is used to obtain the adjustable potential range of air conditioning load under different outdoor temperatures based on the temperature-power acceptable range and the difference between the actual operating power and the lower limit of the temperature-power acceptable range.

[0037] The third construction module is used to divide the adjustable potential range into an easy reduction range and a general reduction range, and to build a load selection model to determine the load users to be reduced and their corresponding power reduction amounts.

[0038] The fourth module is used to set a fixed duration as the selection period, divide load users into a standby pool, a reduction pool, and a recovery pool, and select load users to participate in demand-side response in rotation based on the load selection model results.

[0039] The beneficial effects of this invention are:

[0040] This invention starts with temperature characteristics closely related to air conditioning operating power. It uses the frequency of historical power occurrences of air conditioning load as an evaluation process for adjustable potential, which is more objective and accurate compared to existing adjustable potential assessment technologies. By measuring the frequency of historical power occurrences at different temperatures, the ease of load reduction is measured, and the resulting load incentive cost model ensures load benefits and is easily accepted by load users. The time-series cyclic scheduling strategy, which uses a fixed duration as the selection period and temperature control as the means, reduces the requirements for specialized equipment in traditional technologies. With the goal of minimizing the cost to load aggregators, it protects the interests of load aggregators. At the same time, the proposed time-series cyclic scheduling strategy demonstrates excellent effects in mitigating rebound effects. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a flowchart of the invention;

[0043] Figure 2 This is a flowchart of the timing loop control strategy proposed in this invention;

[0044] Figure 3 This is a power change curve of different strategies under the present invention to reduce the overall load by 5%;

[0045] Figure 4 This is a power change curve of different strategies under the present invention to reduce the overall load by 10%;

[0046] Figure 5 This is a power change curve of different strategies under the present invention to reduce the overall load by 15%. Detailed Implementation

[0047] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] like Figure 1 As shown, a method for controlling the adjustable potential of air conditioning load to mitigate the rebound effect includes the following steps:

[0049] Two characteristic data points, air conditioning load operating power and outdoor temperature, are selected to form a temperature-air conditioning load operating power mapping. The temperature-power acceptable range of air conditioning load operating power under different outdoor temperatures is quantified by the fitting distribution method. The difference between the operating power and the lower limit of the temperature-power acceptable range is used to evaluate the adjustable potential range of air conditioning load under different outdoor temperatures. The adjustable potential range of air conditioning load is used to limit the range of values ​​for air conditioning load reduction.

[0050] A temperature-power mapping is formed by combining air conditioning load data and temperature data based on time-series relationships. This temperature-power mapping is divided into sections per ΔT degree Celsius, and the set of all load data for load i within the temperature range [T-ΔT / 2, T+ΔT / 2] is defined as X. i,T A uniform distribution is used to fit the dataset X. i,T First, the sampled dataset X i,T Sort the data, then divide it into four parts using quartiles. Considering the frequency of data occurrences, define the interval [Q1] between the first and third quartiles. i,T Q3 i,T This is considered to be the temperature-power acceptable range for the load at outdoor temperature T.

[0051] The evaluation steps for assessing the adjustable potential range of air conditioning load at different temperatures are as follows: Based on the actual operating power P of load i... i,on And the lower limit of the acceptable temperature-power range Q1 obtained from the fitted distribution. i,T The difference assesses the power adjustable potential range of the load [0, P]. i,max The reduction in air conditioning load for different loads should be within the adjustable potential range; when P i,on Q1 i,T At that time, the air conditioner operating power P i,on To the lower limit of the acceptable range Q1 i,T The difference is defined as the upper limit P of the load adjustable potential range. i,max When P i,on ≤Q1 i,T At that time, the upper limit P of the load adjustable potential range i,max Set to 0.

[0052] The ease of load reduction is measured by the frequency of air conditioning load operating power at different outdoor temperatures. The adjustable potential range is divided into easy reduction range and general reduction range based on the difference between the actual operating power and the acceptable temperature-power range. Different load incentive cost models are built according to the reduction amount in different ranges to ensure the due benefits of load users under different reduction amounts. With the goal of minimizing the sum of load incentive cost and communication cost, a load selection model is established to select load users to participate in demand-side response.

[0053] The ease of load reduction is measured by the frequency of air conditioning load operating power at different outdoor temperatures. Based on the difference between the actual operating power and the acceptable temperature-power range, the adjustable potential range is divided into an easy-to-reduce range and a moderate-reduce range. Q3 i,T This indicates the upper limit of the acceptable temperature-power range, when P i,on Q3 i,T Therefore, the air conditioner operating power P is... i,on With the upper limit of the acceptable range Q3 i,T The difference is defined as the upper limit P of the range where the load is easily reduced. i,min When P i,on ≤Q3 i,T At that time, the upper limit P of the load reduction zone is easily achieved. i,min Set to 0. (By 0 and P) i,min The interval [0, P] is formed i,min This refers to the range where the air conditioning load i can be easily reduced; [P] i,min With P i,max The interval [P] formed i,min ,P i,max This refers to the general reduction range of air conditioning load i.

[0054] The reduction amount is in [0, P] i,min When the power reduction is within the range of [P], the impact on the comfort of load users is relatively small, and there is a linear relationship between the benefits and the power reduction, where α is the coefficient for the linear increase of incentive costs. The reduction amount is within [P]. i,min ,P i,max Within this range, the impact of power reduction on the comfort of load users begins to increase, and the relationship between the benefits and the power reduction exhibits an exponential relationship, where β is the coefficient for the exponential growth of incentive costs. The reduction exceeds the maximum reduction amount P. i,max At that time, it was considered that there was no possibility of load reduction. The ease of load reduction was quantified by the frequency of air conditioning power occurrence within different temperature ranges, and different reduction amounts p were determined. i Under the load i incentive cost model f(p) i As shown in formula (1).

[0055]

[0056] A load selection model was established with the objective functions of minimizing incentive costs and communication costs. Load aggregators must consider two constraints when formulating control strategies: the total power reduction of all selected loads must be higher than the power P required by the power grid control; and when formulating reduction plans, the reduction amount of the selected loads must be within the reduction range of the load users. The load selection model thus established is shown in Equation (2).

[0057]

[0058] Where n represents the number of users under load, x i For 0-1 variables, when x i =1 indicates that the load user has been selected, otherwise, they have not been selected. δ represents the communication cost coefficient.

[0059] A time-series cyclical control strategy considering the rebound effect is proposed. The load users are divided into a standby pool, a reduction pool, and a recovery pool on an hourly scale. The load users are selected in rotation to participate in the demand-side response on an hourly cycle. The selected load users reduce power according to the control strategy formulated by the load aggregator, while the unselected load users maintain the original power operation.

[0060] The proposed time-sequential cyclic scheduling strategy framework is as follows: Figure 2 As shown, load users take turns participating in control, with hours as the cycle scale. The steps are as follows:

[0061] S1: Divide all load users into a backup pool, a reduction pool, and a recovery pool, and perform load selection once every hour.

[0062] S2: The strategy of moving users in the recovery pool to the backup pool for selection and controlling the selection of load users to participate in demand-side response air conditioning load reduction.

[0063] S3: Select load users from the reduction pool to participate in demand-side response based on the established selection model. Selected load users enter the reduction pool and their power is reduced according to the established control strategy. Unselected load users remain in the reserve pool and maintain their original power operation.

[0064] S4: The load users selected in the previous moment are placed into the recovery pool and their original power is restored to restore comfort.

[0065] It should be further explained that, in the specific implementation process, the air conditioning load data of this embodiment of the invention comes from the energy project on Pecan Street, USA, and includes data on load usage of electricity, natural gas, and water resources. This invention selects air conditioning load data from June to July 2018 and temperature data collected from nearby weather stations. Through data cleaning, missing data and loads without air conditioning were removed, and the cleaned data was used to perform temperature-power acceptable range analysis on the air conditioning data of the load. This invention uses an air conditioning load thermal parameter model to simulate the embodiment. In the experimental setup, the linear growth coefficient α of the load incentive cost is set to 1, the exponential growth coefficient β of the load incentive cost is set to 1, and the communication cost coefficient δ is set to 1.

[0066] Based on the same inventive concept, this invention also provides a computer device, comprising: one or more processors, and a memory for storing one or more computer programs; the programs include program instructions, and the processor executes the program instructions stored in the memory. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, used to implement one or more instructions, specifically for loading and executing one or more instructions stored in a computer storage medium to implement the above-described method.

[0067] It should be further explained that, based on the same inventive concept, the present invention also provides a computer storage medium storing a computer program, which, when executed by a processor, performs the above-described method. This storage medium can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In the present invention, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0068] An air conditioning load adjustable potential control device for mitigating rebound effects includes:

[0069] The data acquisition module is used to acquire air conditioning load operating power and outdoor temperature data;

[0070] The first construction module is used to combine the operating power of the air conditioning load and the outdoor temperature data through time-series relationships to form a temperature-power mapping and to construct an acceptable temperature-power range for the air conditioning load.

[0071] The second construction module is used to obtain the adjustable potential range of air conditioning load under different outdoor temperatures based on the temperature-power acceptable range and the difference between the actual operating power and the lower limit of the temperature-power acceptable range.

[0072] The third construction module is used to divide the adjustable potential range into an easy reduction range and a general reduction range, and to build a load selection model to determine the load users to be reduced and their corresponding power reduction amounts.

[0073] The fourth module is used to set a fixed duration as the selection period, divide load users into a standby pool, a reduction pool, and a recovery pool, and select load users to participate in demand-side response in rotation based on the load selection model results.

[0074] Research on air conditioning loads that mitigate rebound effects mainly focuses on direct control. This case study references the concept of direct control and formulates a comparative control strategy.

[0075] Strategy 1: Total Participation in Control Strategy. After receiving the power company's control targets, the load aggregator distributes the peak load reduction targets evenly across all controllable loads.

[0076] Strategy 2: The cyclic control strategy proposed in this invention. Based on the adjustable potential range obtained from quantitative analysis, loads are cyclically selected to participate in the response on an hourly scale according to the selection strategy.

[0077] To measure the effectiveness of the control strategy developed in this invention, the following two indicators are defined.

[0078] Indicator 1: Total demand-side response cost, which consists of the incentive costs paid by the load aggregator and the communication costs, as shown in formula (2).

[0079] Indicator 2: Percentage of rebound load fluctuation. The percentage of rebound load fluctuation is defined as the percentage of the maximum instantaneous power value after the air conditioning load recovers to the initial temperature to the average load power during the demand-side response period. It is used to measure the power fluctuation of the load after recovery, as shown in formula (3).

[0080]

[0081] Among them, P rec P represents the peak rebound power. av This represents the average power within the response interval.

[0082] Figure 3-5 This demonstrates the performance of different strategies under varying reduction rates. The gray curve illustrates the control method of the full participation strategy. At the start of demand-side response control, the air conditioners simultaneously raise the set temperature, and almost all machines enter the dynamic process, resulting in a trough in load power. Figure 3-5 The diagram illustrates the control trough period. After the demand-side response ends, air conditioners start simultaneously to restore the original set temperature, resulting in a sharp rebound in load power. When the overall load is reduced by 5%, some air conditioners remain within the original set temperature fluctuation range after the demand-side response ends, so the rebound load does not reach its peak. When the overall load is reduced by 10% and 15%, all air conditioners start simultaneously, so the rebound power reaches its extreme value and does not increase further. However, it is clear that it takes longer to return to a stable state after a 15% reduction in overall load.

[0083] The black curve illustrates the effect of adding delay units to mitigate the rebound effect. When using the time-series cyclic control strategy, since only a partial load reduction occurs, the initial trough in demand-side response no longer appears. When reducing the overall load by 5%, the rebound rate using the time-series cyclic strategy is approximately one-third that of the full participation strategy; when reducing the overall load by 10% and 15%, the rebound rate using the time-series cyclic strategy is approximately two-thirds that of the full participation strategy.

[0084] Table 1 Incentive Costs and Rebound Factors

[0085]

[0086] Table 1 shows the rebound ratio and total demand-side response cost of different strategies under different reduction amounts. It is clear from Table 1 that the rebound ratio based on the time-series cyclical control strategy is always the lowest. When the reduction amount is small, the cost of the time-series cyclical control strategy is much lower than that of the full participation strategy. When the reduction amount increases, the total demand-side response costs of the two strategies are similar, thus verifying the superiority of the strategy proposed in this invention.

[0087] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0088] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claims.

Claims

1. An air conditioning load adjustable potential control method for mitigating a rebound effect, characterized by, The method comprises the following steps: Two characteristic data of air conditioner load operation power and outdoor temperature are selected from the historical load data of the power consumer and the weather data recorded by the weather station to form a temperature-air conditioner load operation power mapping, a fitting distribution is used to quantize the temperature-power acceptable interval of the air conditioner load operation power under different outdoor temperatures, and the air conditioner load adjustable potential interval under different outdoor temperatures is obtained by using the difference between the operation power and the lower limit of the temperature-power acceptable interval, and the air conditioner load adjustable potential interval is used to limit the value range of the air conditioner load reduction amount; The frequency of the air conditioner load operation power under different outdoor temperatures is used to measure the difficulty of load reduction, the adjustable potential interval is divided into an easy reduction interval and a general reduction interval according to the difference between the actual operation power and the temperature-power acceptable interval, different load incentive cost models are built according to the reduction amount in different intervals, and a load selection model is built with the minimum value of the sum of the load incentive cost and the communication cost as the target, and the load selection model is used to select the load consumer to participate in the demand side response; The process of obtaining the air conditioner load adjustable potential interval under different outdoor temperatures by using the difference between the operation power and the lower limit of the temperature-power acceptable interval comprises the following steps: Based on the actual operating power P of load i i,on And the lower limit of the acceptable temperature-power range Q1 obtained from the fitted distribution. i,T The difference assesses the power adjustable potential range of the load [0, P]. i,max The reduction in air conditioning load for different loads should be within the adjustable potential range; when P i,on Q1 i,T At that time, the air conditioner operating power P i,on To the lower limit of the acceptable range Q1 i,T The difference is defined as the upper limit P of the load adjustable potential range. i,max When P i,on ≤Q1 i,T At that time, the upper limit P of the load adjustable potential range i,max Set to 0; The process of dividing the adjustable potential interval into an easy reduction interval and a general reduction interval comprises the following steps: Q3 i,T represents the upper limit of the temperature-power acceptable interval, when P i,on > Q3 i,T , the difference between the air conditioner operating power P i,on and the upper limit of the acceptable interval Q3 i,T is defined as the upper limit P i,min of the load easy reduction interval; when P i,on ≤ Q3 i,T , the upper limit P i,min of the load easy reduction interval is set to 0; the interval [0, P i,min ] composed of 0 and P i,min is the easy reduction interval of the air conditioner load i; the interval [P i,min , P i,max ] composed of P i,min and P i,max is the general reduction interval of the air conditioner load i; A fixed time length is set as a selection period, the load consumer is divided into a standby pool, a reduction pool and a recovery pool, the load consumer is selected to participate in the demand side response according to the load selection model result, the selected load consumer performs power reduction according to the control strategy obtained by the load selection model, and the unselected load consumer keeps original power operation.

2. The method of claim 1, wherein, A temperature-power mapping is formed by combining the operating power of air conditioning loads and outdoor temperature based on time-series relationships. This temperature-power mapping is then divided into segments based on ΔT degrees Celsius. The set of all operating powers of air conditioning loads within the temperature range [T-ΔT / 2, T+ΔT / 2] for load i is defined as dataset X. i,T The dataset X is fitted using a uniform distribution. i,T , dataset X i,T Sort the data, then divide it into four parts using quartiles. Based on the frequency of data occurrences, divide the interval [Q1] between the first and third quartiles. i,T Q3 i,T This is considered to be the temperature-power acceptable range for the load at outdoor temperature T.

3. The method of claim 1, wherein, The built load incentive cost model is as follows: where p i is the reduction amount of the load i, a is a coefficient of linear increase of the incentive cost, β is a coefficient of exponential increase of the incentive cost, P i,min is the upper limit of the easy reduction range of the load i, P i,max is the upper limit of the general reduction range of the load i.

4. The method of claim 1, wherein, The load selection model is as follows: where P is the required curtailment power of grid control, n represents the number of loads, x i is a 0-1 variable, which indicates that the load user is selected when x i = 1, otherwise, it is not selected, and δ represents the communication cost coefficient.

5. The method of claim 1, wherein, A fixed time length is set as a selection period, the load consumer is divided into a standby pool, a reduction pool and a recovery pool, and the process of selecting the load consumer to participate in the demand side response according to the load selection model result comprises the following steps: All the load consumers are divided into a standby pool, a reduction pool and a recovery pool, and the load selection is performed once every hour; The recovery pool load consumer of the last time enters the standby pool for selection, and a control strategy for selecting the load consumer to participate in the demand side response air conditioner load reduction is made; The load consumer is selected to participate in the demand side response from the reduction pool according to the load selection model, the selected load consumer enters the reduction pool and performs power reduction according to the made control strategy, and the unselected load consumer keeps in the standby pool and keeps original power operation; The selected load consumer of the last time is put into the recovery pool to recover the original power.

6. An apparatus, comprising: Comprise: one or more processors; a memory for storing one or more programs; when one or more of the programs are executed by one or more of the processors, so that one or more of the processors implement a kind of air conditioner load adjustable potential control method for suppressing rebound effect as claimed in any one of claims 1-5.

7. A storage medium containing computer-executable instructions, wherein: The computer executable instructions are used to execute a kind of air conditioner load adjustable potential control method for suppressing rebound effect as claimed in any one of claims 1-5 when executed by computer processor.

8. An air conditioning load adjustable potential control device that suppresses a rebound effect, characterized by Comprise: The data acquisition module is configured to acquire air conditioner load operation power and outdoor temperature data. The first construction module is configured to combine the air conditioner load operation power and the outdoor temperature data through a time sequence relationship, form a temperature-power mapping, and construct an air conditioner load temperature-power acceptable interval. The second construction module is configured to acquire an air conditioner load adjustable potential interval under different outdoor temperatures based on the temperature-power acceptable interval and a difference between the actual operation power and a lower limit of the temperature-power acceptable interval. The third construction module is configured to divide the adjustable potential interval into an easy reduction interval and a general reduction interval, construct a load selection model, and determine a load user to be reduced and a corresponding power reduction amount. The process of acquiring the air conditioner load adjustable potential interval under different outdoor temperatures based on the difference between the operation power and the lower limit of the temperature-power acceptable interval includes the following steps: Based on the actual operating power P of load i i,on And the lower limit of the acceptable temperature-power range Q1 obtained from the fitted distribution. i,T The difference assesses the power adjustable potential range of the load [0, P]. i,max The reduction in air conditioning load for different loads should be within the adjustable potential range; when P i,on Q1 i,T At that time, the air conditioner operating power P i,on To the lower limit of the acceptable range Q1 i,T The difference is defined as the upper limit P of the load adjustable potential range. i,max When P i,on ≤Q1 i,T At that time, the upper limit P of the load adjustable potential range i,max Set to 0; The process of dividing the adjustable potential interval into the easy reduction interval and the general reduction interval includes the following steps: Q3 i,T represents an upper limit of the temperature-power acceptable interval, when P i,on > Q3 i,T The difference between the air conditioner operating power P i,on and the upper limit Q3 i,T of the acceptable interval is defined as the upper limit P i,min of the load easy reduction interval. When P i,on ≤ Q3 i,T , the upper limit P i,min of the easy reduction range of the load is set to 0; the interval [0, P i,min ] composed of 0 and P i,min is the easy reduction range of the air conditioning load i; the interval [P i,min , P i,max ] composed of P i,min and P i,max is the general reduction range of the air conditioning load i; The fourth construction module is configured to set a fixed time length as a selection cycle, divide the load users into a standby pool, a reduction pool, and a recovery pool, and according to a result of the load selection model, rotate selection of the load users to participate in the demand side response.

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