Air conditioning load regulation method, device, equipment, storage medium and computer product

Abstract

The application relates to an air conditioner load regulation method, device, equipment, storage medium and computer product. The method comprises the following steps: acquiring an air conditioner real-time temperature and an outdoor real-time temperature under a current state, and determining a corresponding shutdown time range during air conditioner load regulation according to the air conditioner real-time temperature and the outdoor real-time temperature; determining a response time range in response to an air conditioner load regulation request, determining a power potential value during air conditioner load regulation according to the shutdown time range and the response time range; acquiring a preset power demand value during air conditioner load regulation, obtaining a power reduction target value according to the power potential value and the power demand value, and determining air conditioner load regulation data according to the power reduction target value. By adopting the method, the air conditioner can be shut down during air conditioner load regulation, which helps to improve the flexibility of the air conditioner load regulation scheme; and the power potential value and the power reduction target value are increased, which helps to further relieve the load pressure of the power grid.

Description

Technical Field

[0001] This application relates to the technical field of power dispatching, and in particular to a method, apparatus, equipment, storage medium, and computer product for regulating air conditioning load. Background Technology

[0002] As global warming progresses, the average annual temperature in my country is gradually rising, and people's demand for air conditioning is also increasing. Especially in summer, the air conditioning load in high-traffic areas such as buildings and shopping malls is relatively large, which can lead to the power grid operating under overload for a period of time.

[0003] In existing technologies, the target temperature of each air conditioner in the target area is first determined based on the operating parameters of each air conditioner in the air conditioning cluster within the target area and the load control demand data preset by the power grid dispatch center. The load control demand data includes the load that the power grid needs to control. Then, the current temperature of the air conditioner is adjusted according to the target temperature to alleviate the load pressure on the power grid.

[0004] However, while adjusting the current temperature of the air conditioner based on the target temperature can alleviate the load pressure on the power grid to some extent, the existing technology has a relatively simple control scheme and limited applicability, resulting in low flexibility in controlling the air conditioner load. Summary of the Invention

[0005] Therefore, it is necessary to provide an air conditioning load control method, device, equipment, storage medium, and computer product that can improve the reliability of air conditioning load control in response to the above-mentioned technical problems.

[0006] Firstly, this application provides a method for regulating air conditioning load. The method includes:

[0007] Obtain the real-time temperature of the air conditioner and the real-time outdoor temperature under the current state, and determine the corresponding shutdown time range when adjusting the air conditioner load based on the real-time temperature of the air conditioner and the real-time outdoor temperature.

[0008] Determine the response time range in response to air conditioning load control requests, and determine the power potential value during air conditioning load control based on the shutdown time range and the response time range;

[0009] Obtain the preset power demand value for air conditioning load control, obtain the power reduction target value based on the power potential value and the power demand value, and determine the air conditioning load control data based on the power reduction target value.

[0010] In one embodiment, determining the power potential value for air conditioning load regulation based on the off-time range and the response time range includes:

[0011] Determine if the shutdown time range is less than the response time range. If the shutdown time range is less than the response time range, determine the power potential value based on the average power of the air conditioner under the current state and the initial power of the air conditioner. If the shutdown time range is greater than or equal to the response time range, use the sum of the initial power of the air conditioner as the power potential value.

[0012] In one embodiment, determining air conditioning load control data based on a power reduction target value includes:

[0013] Obtain the deviation control model, and determine the deviation between the power reduction target value and the power reduction value when the air conditioning load is adjusted based on the deviation control model;

[0014] The deviation control model is optimized by an optimization algorithm to minimize the deviation value. The output of the deviation control model when the deviation value is minimized is used as the air conditioning load control data. The air conditioning load control data includes the air conditioning set temperature data and the air conditioning operating status data.

[0015] In one embodiment, determining the deviation between the power reduction target value and the power reduction value during air conditioning load regulation based on the deviation control model includes:

[0016] Obtain the preset power range and preset indoor temperature range for air conditioning load regulation, and input the preset power range and preset indoor temperature range into the deviation control model as constraints for the deviation control model to set the air conditioning temperature.

[0017] Based on the deviation control model, the target temperature value is determined from the initial indoor temperature, real-time outdoor temperature and indoor temperature range of the current environment of the air conditioner, the duration of the indoor temperature exceeding the indoor temperature range after the air conditioner is turned off, and the air conditioner operation status data is determined based on the duration.

[0018] Based on the current total power of the air conditioner and the target power reduction value, determine the total power of the air conditioner after adjustment, and based on the total power of the air conditioner after adjustment, the current power of the air conditioner, and the operating status of the air conditioner, determine the deviation between the target power reduction value and the power reduction value when the air conditioner load is adjusted.

[0019] In one embodiment, the output of the deviation control model when the deviation value is minimum is used as the air conditioning load regulation data, including:

[0020] Based on the air conditioner operation status data, determine whether all air conditioners with the smallest deviation value are in operation. If some air conditioners are not in operation, determine the air conditioner load control data based on the shutdown time range and response time range.

[0021] In one embodiment, determining the corresponding shutdown time range for air conditioning load regulation based on the real-time air conditioning temperature and the real-time outdoor temperature includes:

[0022] Obtain the environmental parameters and preset air conditioning temperature settings under the current conditions;

[0023] The shutdown time range is obtained by performing mathematical calculations based on the real-time temperature of the air conditioner, the real-time outdoor temperature, environmental parameters, and the set temperature of the air conditioner.

[0024] Secondly, this application also provides an air conditioning load control device. The device includes:

[0025] The data acquisition module is used to acquire the real-time temperature of the air conditioner and the real-time outdoor temperature under the current state, and to determine the corresponding shutdown time range when the air conditioner load is adjusted based on the real-time temperature of the air conditioner and the real-time outdoor temperature.

[0026] The data processing module is used to determine the response time range in response to the air conditioning load control request, and to determine the power potential value during air conditioning load control based on the shutdown time range and the response time range.

[0027] The load control module is used to obtain the preset power demand value when controlling the air conditioning load, obtain the power reduction target value based on the power potential value and the power demand value, and determine the air conditioning load control data based on the power reduction target value.

[0028] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0029] Obtain the real-time temperature of the air conditioner and the real-time outdoor temperature under the current state, and determine the corresponding shutdown time range when adjusting the air conditioner load based on the real-time temperature of the air conditioner and the real-time outdoor temperature.

[0030] Determine the response time range in response to air conditioning load control requests, and determine the power potential value during air conditioning load control based on the shutdown time range and the response time range;

[0031] Obtain the preset power demand value for air conditioning load control, obtain the power reduction target value based on the power potential value and the power demand value, and determine the air conditioning load control data based on the power reduction target value.

[0032] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps:

[0033] Obtain the real-time temperature of the air conditioner and the real-time outdoor temperature under the current state, and determine the corresponding shutdown time range when adjusting the air conditioner load based on the real-time temperature of the air conditioner and the real-time outdoor temperature.

[0034] Determine the response time range in response to air conditioning load control requests, and determine the power potential value during air conditioning load control based on the shutdown time range and the response time range;

[0035] Obtain the preset power demand value for air conditioning load control, obtain the power reduction target value based on the power potential value and the power demand value, and determine the air conditioning load control data based on the power reduction target value.

[0036] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, performs the following steps:

[0037] Obtain the real-time temperature of the air conditioner and the real-time outdoor temperature under the current state, and determine the corresponding shutdown time range when adjusting the air conditioner load based on the real-time temperature of the air conditioner and the real-time outdoor temperature.

[0038] Determine the response time range in response to air conditioning load control requests, and determine the power potential value during air conditioning load control based on the shutdown time range and the response time range;

[0039] Obtain the preset power demand value for air conditioning load control, obtain the power reduction target value based on the power potential value and the power demand value, and determine the air conditioning load control data based on the power reduction target value.

[0040] The aforementioned air conditioning load control method, apparatus, equipment, storage medium, and computer product acquire the real-time air conditioning temperature and outdoor temperature under the current conditions, and determine the corresponding shutdown time range for air conditioning load control based on these temperatures; determine the response time range in response to air conditioning load control requests, and determine the power potential value for air conditioning load control based on the shutdown time range and response time range; acquire the preset power demand value for air conditioning load control, obtain the power reduction target value based on the power potential value and power demand value, and determine the air conditioning load control data based on the power reduction target value. This method considers the possibility of air conditioning being shut off during load control, which helps improve the flexibility of the air conditioning load control scheme; and because the power potential value for air conditioning load control increases when air conditioning can be shut off, the corresponding power reduction target value also increases, which helps to further alleviate the load pressure on the power grid. Attached Figure Description

[0041] Figure 1 This is an application environment diagram of an air conditioning load control method in one embodiment;

[0042] Figure 2 Here is a flowchart of an air conditioning load control method in one embodiment;

[0043] Figure 3This is a flowchart for determining power potential values ​​in one embodiment;

[0044] Figure 4 This is a flowchart illustrating the process of obtaining air conditioning load control data based on a deviation control model in one embodiment.

[0045] Figure 5 This is a flowchart illustrating the deviation between the target power reduction value and the power reduction value during air conditioning load regulation in one embodiment.

[0046] Figure 6 This is a flowchart illustrating the process of determining air conditioning load control data based on air conditioning operating status data in one embodiment.

[0047] Figure 7 This is a flowchart illustrating the off-time range in one embodiment;

[0048] Figure 8 This is a graph showing the change in total air conditioning power in one embodiment;

[0049] Figure 9 This is a structural block diagram of an air conditioning load control device in one embodiment;

[0050] Figure 10 This is an internal structural diagram of a computer device in one embodiment;

[0051] Figure 11 This is a diagram of the internal structure of a computer device in another embodiment. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0053] The air conditioning load control method provided in this application embodiment can be applied to, for example, Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104 or located in the cloud or on other network servers. Terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, etc. Portable wearable devices can include smartwatches, smart bracelets, head-mounted devices, etc. Server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0054] In one embodiment, such as Figure 2 As shown, this method is applied to Figure 1 Taking a terminal as an example, it can be understood that this method can also be applied to a server, and to a system that includes both a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0055] Step 202: Obtain the real-time temperature of the air conditioner and the real-time outdoor temperature under the current state, and determine the corresponding shutdown time range when adjusting the air conditioner load based on the real-time temperature of the air conditioner and the real-time outdoor temperature.

[0056] The current state refers to the state when the power grid dispatch center issues a request for air conditioning load control. When there is only one air conditioner used for load control, the shutdown time range is the duration for which the indoor temperature can be maintained within the preset indoor comfort temperature range after the air conditioner is turned off. For example, assuming the preset indoor comfort temperature range is 22℃~26℃, the current real-time temperature of the air conditioner is 24℃, and the indoor temperature is 24℃, the time it takes for the indoor temperature to rise from 24℃ to 26℃ after the air conditioner is turned off is 20 minutes, so the corresponding shutdown time range is 20 minutes. When the air conditioner cluster is used for load control, that is, when there are multiple air conditioners used for load control, the shutdown time range is the minimum duration for which the indoor temperature can be maintained within the preset indoor comfort temperature range after each air conditioner is turned off. For example, assuming the current real-time temperatures of each air conditioner in the cluster are 24℃, 25℃, and 23℃, the corresponding shutdown time ranges after each air conditioner is turned off are 20 minutes, 18 minutes, and 22 minutes, respectively, so the final determined shutdown time range is 18 minutes.

[0057] For example, the largest source of building energy consumption is currently the air conditioning system, especially during the hot summer months when the power grid load often reaches its threshold. In this situation, to alleviate the pressure on the power grid load, the power grid dispatch center needs to issue air conditioning load control requests to air conditioning clusters or individual air conditioners within the area. This aims to reduce the current load on the power grid by decreasing the air conditioning load. When an air conditioning load control request is received, the system obtains the current real-time temperature of the air conditioner and the outdoor temperature, and determines the corresponding shutdown time range for air conditioning load control based on these temperatures.

[0058] Step 204: Determine the response time range in response to the air conditioning load control request, and determine the power potential value during air conditioning load control based on the shutdown time range and the response time range.

[0059] The response time range for air conditioning load control requests refers to the total duration for which the power grid dispatch center needs to regulate the power grid load. This response time range is preset by the power grid dispatch center based on the current power grid load situation and is included in the air conditioning load control request. For example, a response time range of 3 hours means that the power grid dispatch center must maintain load control for 3 hours from the time it issues the air conditioning load control request. The power potential value during air conditioning load control is the maximum power that the air conditioner can actually control, that is, the maximum amount of power that the air conditioner can reduce.

[0060] For example, after determining the response time range of the air conditioning load control request, the calculation method of the power potential value is determined based on the comparison between the shutdown time range and the response time range, thereby obtaining a more accurate power potential value, which helps to ensure the accuracy of air conditioning load control.

[0061] Step 206: Obtain the preset power demand value for air conditioning load control, obtain the power reduction target value based on the power potential value and the power demand value, and determine the air conditioning load control data based on the power reduction target value.

[0062] The power demand value is the power reduction amount preset by the power grid dispatch center based on the current power grid load situation; that is, the power reduction demand amount released by the power grid dispatch center. The power reduction target value is the actual power reduction value that the power grid ultimately needs to reduce, and the power reduction target value is used as the basis for generating subsequent air conditioning load control data.

[0063] For example, after obtaining the power demand value, the power potential value is compared with the power demand value. If the power potential value is greater than or equal to the power demand value, it indicates that the actual amount of power that the air conditioner can control is greater than or equal to the power reduction demand issued by the power grid. In this case, the power demand value is used as the power reduction target value. Otherwise, the power potential value is used as the power reduction target value. That is, if the maximum amount of power that the air conditioner can actually control is less than the power reduction demand issued by the power grid, the maximum amount of power that the air conditioner can actually control is used as the power reduction target value.

[0064] The above-mentioned air conditioning load control method takes into account the situation where the air conditioner can be turned off during air conditioning load control, which helps to improve the flexibility of the air conditioning load control scheme; and since the power potential value during air conditioning load control will increase when the air conditioner can be turned off, the corresponding power reduction target value will also increase, which helps to further alleviate the load pressure on the power grid.

[0065] In one embodiment, such as Figure 3 As shown, the power potential value for air conditioning load regulation is determined based on the off-time range and the response time range, including:

[0066] Step 302: Determine whether the shutdown time range is less than the response time range. If the shutdown time range is less than the response time range, proceed to step 304; otherwise, proceed to step 306.

[0067] For example, since the air conditioner may not be able to maintain indoor comfort when the shutdown time range is smaller than the response time range, the power of the air conditioner may need to be further adjusted. Therefore, it is necessary to determine the power potential value of the air conditioner when controlling the load based on the relationship between the shutdown time range and the response time range, so as to ensure the accuracy of the power potential value determination.

[0068] Step 304: Determine the power potential value based on the average power of the air conditioner under the current state and the initial power of the air conditioner.

[0069] When there is only one air conditioner used for load control, the average power of the air conditioner is the power value of the air conditioner in its current state, and the initial power of the air conditioner is the power value of the air conditioner in its current state. When there are multiple air conditioners used for load control, the average power of the air conditioners is the average of the sum of the power values ​​of the multiple air conditioners in their current state, and the initial power of the air conditioners is the power value of each air conditioner in its current state.

[0070] For example, when the shutdown time range is less than the response time range, the power potential value is calculated according to the following steps:

[0071] First, calculate t according to the following formula. need With t last-min,t The integer n obtained by rounding down the quotient:

[0072]

[0073] Among them, t need This indicates the response time range for air conditioning load control requests; when multiple air conditioners are used for load control, t last-min,t This indicates the minimum range of air conditioner shutdown time.

[0074] Then calculate the average air conditioning power at time t using the following formula.

[0075]

[0076] in, This represents the power of the i-th air conditioner participating in the regulation at time t, calculated using the formula P. i,t =a i f i,t +b i We can obtain that, where a i b i The function coefficients are obtained based on a pre-defined air conditioning physical model.

[0077] f i,t Let N be the frequency of the i-th air conditioner during time period t; z This indicates the total number of air conditioners used for load control.

[0078] Then calculate the average air conditioning power after adjustment in time period t using the following formula.

[0079]

[0080] Among them, T out,t T represents the outdoor temperature at time t; max This indicates the upper limit of the temperature that the air conditioner can be set to; in this embodiment, T... max The value is 28℃; R i η represents the equivalent thermal resistance of the room in which the air conditioner is located. i,t Let represent the energy efficiency ratio of the i-th air conditioner during time period t.

[0081] Finally, the power potential value ΔP is calculated using the following formula. t :

[0082]

[0083] Step 306: The sum of the initial power of the air conditioners is taken as the power potential value.

[0084] For example, when the turn-off time range is greater than or equal to the response time range, the power potential value ΔP is calculated according to the following formula. t :

[0085]

[0086] As can be seen from the above, P bf,i,t This represents the power of the i-th air conditioner participating in the regulation at time t.

[0087] In this embodiment, the power potential value during air conditioning load regulation is determined based on the relationship between the shutdown time range and the response time range, which helps to improve the accuracy of the power potential value determination.

[0088] In one embodiment, such as Figure 4 As shown, the air conditioning load control data is determined based on the power reduction target value, including:

[0089] Step 402: Obtain the deviation control model and determine the deviation between the power reduction target value and the power reduction value during air conditioning load regulation based on the deviation control model.

[0090] Among them, the deviation control model is a method of achieving control by finding the minimum value of the objective function. In this method, the controller uses an objective function with certain weighting relationships to evaluate the adjustment required for the current state and implements optimal control when the objective function reaches its minimum value. The deviation between the power reduction target value and the power reduction value during air conditioning load regulation is used to represent the degree of closeness between the power reduction value and the power reduction target value. The smaller the deviation value, the closer the power reduction value is to the power reduction target value, and the more accurate the output result of the deviation control model is.

[0091] Step 404: Optimize the deviation control model using an optimization algorithm to minimize the deviation value, and use the output of the deviation control model when the deviation value is minimized as the air conditioning load control data. The air conditioning load control data includes the air conditioning set temperature data and the air conditioning operating status data.

[0092] For example, the optimization algorithm used to optimize the deviation control model in this instance can be the particle swarm optimization (PSO) algorithm. PSO is an optimization algorithm used to find the minimum or maximum value of an objective function. It is based on simulating the group behavior of a flock of birds or fish to find the optimal solution. In the air conditioning load control system of this embodiment, PSO can be used to find the minimum deviation value of the objective function in the deviation control model to obtain the optimal air conditioning control strategy. The specific steps are as follows: First, determine the optimization objective. In the air conditioning load control system, the objective function can be used as the optimization objective of the controller. Then, define the particle swarm, setting the number and initial position of the particles, i.e., setting the initial values ​​of the controller parameters. In this embodiment, the controller parameters include the air conditioning temperature and the air conditioning power. Next, determine the speed and direction of each particle. Speed ​​and direction are calculated by accelerating and moving towards the historical optimal solution and the group optimal solution to find the optimal solution. Finally, calculate the particle fitness and the objective function. Fitness indicates the effectiveness of the strategy control, while the objective function indicates the magnitude of the deviation value and other control effects. The particles are then moved to new positions based on their speed and direction, updating the controller's parameter values ​​to find the optimal solution. The global and individual optimal solutions are then updated, historical optimal solutions and the global optimal solution are saved, and the positions of the optimal solution particles and the individual optimal solutions are updated. Finally, iterative calculations are performed, repeating the above steps until the specified number of iterations is met or the objective is achieved. In this embodiment, the iteration terminates when the sum of the minimum values ​​of the air conditioner shutdown time range is greater than or equal to the response time range, or when all air conditioners in the deviation control model output are in operation.

[0093] Since air conditioning load control mainly regulates the temperature and operating status of the air conditioner, the air conditioning load control data includes the air conditioner set temperature data and the air conditioner operating status data. The air conditioner set temperature data is the temperature data when the air conditioner is controlled, and the air conditioner operating status data is the operating status data when the air conditioner is controlled. The operating status data includes whether the air conditioner is running or off. When multiple air conditioners are used for control, the operating status of some air conditioners corresponding to the air conditioning load control data may be off, while the operating status of the remaining air conditioners may be running.

[0094] In this embodiment, the deviation control model is optimized using the particle swarm optimization algorithm to obtain the minimum deviation value. The air conditioning load is then adjusted based on the output result corresponding to the minimum deviation value, which helps to improve the reliability and accuracy of air conditioning load adjustment. Furthermore, it enables the expansion of the control scheme when the air conditioning can be turned off, thereby improving the flexibility of air conditioning load adjustment.

[0095] In one embodiment, such as Figure 5 As shown, the deviation between the power reduction target value and the power reduction value during air conditioning load regulation is determined according to the deviation control model, including:

[0096] Step 502: Obtain the preset power range and preset indoor temperature range for air conditioning load control, and input the preset power range and preset indoor temperature range into the deviation control model as constraints for the deviation control model to set the air conditioning temperature.

[0097] The preset power range is the constraint range of the deviation control model on the power parameters when adjusting the air conditioner. The preset power range is set according to the air conditioner load. The preset indoor temperature range is the constraint range of the deviation control model on the temperature parameters when adjusting the air conditioner. The preset indoor temperature range is set according to the requirements of indoor comfort. Using the preset power range and the preset indoor temperature range helps to minimize the range and time of the deviation control model in optimizing the air conditioner set temperature while ensuring indoor comfort.

[0098] Specifically, the preset power range is expressed by the following power constraint formula:

[0099] P min，i ≤P i，t ≤P max，i ;

[0100] Where, p min，i =a i f min，i +b i P min,i f is the minimum adjustable power of the i-th air conditioner. min,i P is the lowest frequency of the i-th air conditioner compressor;max，i =a i f max，i +b i P max,i Let f be the adjustable electrical power of the i-th air conditioner, its maximum value. max,i Let a be the highest frequency of the i-th air conditioner compressor. i b i These are function coefficients obtained based on a pre-defined air conditioning physical model.

[0101] The preset indoor temperature range is expressed by the following temperature constraint formula:

[0102] T min ≤T deal，i，t ≤T max ;

[0103] T min The air conditioner is set with a lower temperature limit, which is the minimum value of the user's optimal comfort temperature. In this embodiment, T... min Taking 22℃ as an example; T max In this embodiment, T is set as the upper limit of the air conditioner temperature, that is, the maximum value of the user's optimal comfort temperature. max Taking 28℃ as an example, the value of T is taken as follows; deal,i,t This is the setpoint for the air conditioning temperature in the deviation control model.

[0104] Step 504: Based on the deviation control model, determine the target temperature value among the initial indoor temperature, real-time outdoor temperature, and indoor temperature range of the current environment where the air conditioner is located; determine the duration for which the indoor temperature exceeds the indoor temperature range after the air conditioner is turned off; and determine the air conditioner operating status data based on the duration.

[0105] For example, the deviation control model takes values ​​within a preset indoor temperature range and determines the duration for which the indoor temperature exceeds the indoor temperature range after the air conditioner is turned off, based on the initial indoor temperature, real-time outdoor temperature, and environmental data of the current environment where the air conditioner is located. When the duration for which the indoor temperature exceeds the indoor temperature range after the air conditioner is turned off is greater than 0, the corresponding air conditioner operating status data is "off"; when the duration for which the indoor temperature exceeds the indoor temperature range after the air conditioner is turned off is equal to 0, the corresponding air conditioner operating status data is "running".

[0106] Specifically, the duration t of the indoor temperature exceeding the indoor temperature range after the air conditioner is turned off. last,i Calculate using the following formula:

[0107]

[0108] Among them, T c,i,t Let T be the initial indoor temperature of the i-th air-conditioned room during time period t; out,t The outdoor temperature during time period t; Tmax Set the upper temperature limit for the air conditioner; R i Indicates the equivalent thermal resistance of the room in which the air conditioner is located; C i This indicates the equivalent heat capacity of the room where the air conditioner is located.

[0109] Based on the duration t of the indoor temperature exceeding the indoor temperature range after the air conditioner is turned off. last,i Determine the operating status α of the air conditioner i,t The expression is as follows:

[0110]

[0111] Step 506: Determine the adjusted total power of the air conditioner based on the current total power and the power reduction target value, and determine the deviation between the power reduction target value and the power reduction value when the air conditioner load is adjusted based on the adjusted total power, the current power of the air conditioner, and the operating status of the air conditioner.

[0112] For example, the deviation between the target power reduction value and the power reduction value during air conditioning load control can be expressed by the following objective function:

[0113]

[0114] Where δ is the power deviation of the air conditioner during time period t; P af,t α represents the total power of the air conditioner after adjustment during time period t; i,t This indicates that the air conditioner is in operation.

[0115] Specifically, P af,t The calculation formula is as follows:

[0116]

[0117] Among them, P bf,t P represents the total power of the air conditioner during time period t. need This is the target value for power reduction.

[0118] P i,t The calculation formula is as follows:

[0119]

[0120] Among them, T iut,t The outdoor temperature during time period t; T deal,i,t R represents the setpoint for the air conditioning temperature in the deviation control model. i η represents the equivalent thermal resistance of the room in which the air conditioner is located. i,t Let represent the energy efficiency ratio of the i-th air conditioner during time period t.

[0121] In this embodiment, the operating status data of the air conditioner is determined based on the duration of the indoor temperature exceeding the indoor temperature range after the air conditioner is turned off. Then, the deviation value is determined based on the total power of the air conditioner after adjustment, the current power of the air conditioner, and the operating status of the air conditioner. This realizes the diversity of air conditioner load control data when considering the possibility of turning off the air conditioner, which helps to improve the flexibility of air conditioner load control.

[0122] In one embodiment, such as Figure 6 As shown, the output of the deviation control model when the deviation value is minimized is used as the air conditioning load control data, including:

[0123] Step 602: Determine whether all air conditioners with the smallest deviation value are in operation based on the air conditioner operation status data. If any air conditioner is not in operation, proceed to step 604; otherwise, proceed to step 606.

[0124] For example, when the deviation value is at its minimum, the air conditioning load control data output by the deviation control model at this time can certainly meet the power reduction target value issued by the power grid. However, while meeting the power reduction target value, the response time range of the air conditioning load control request must also be considered. That is, after the air conditioning temperature data and operating status data are controlled, the duration for which the indoor temperature is within the preset indoor temperature range must be greater than or equal to the response time range of the air conditioning load control request. In other words, the sum of the minimum values ​​of the air conditioning shutdown time range must be greater than or equal to the response time range.

[0125] Step 604: Determine the air conditioning load control data based on the shutdown time range and response time range.

[0126] For example, when it is determined from the air conditioning load control data that some air conditioners are not in operation (i.e., some are in a turned-off state), the sum of the minimum values ​​of the air conditioner turn-off time range may not be greater than or equal to the response time range. When the sum of the minimum values ​​of the air conditioner turn-off time range is less than the response time range, the temperature data and power values ​​of each air conditioner at this time are returned to the deviation control model and further optimized using the particle swarm optimization algorithm. The optimized air conditioning load control data is output when the optimized deviation value is the minimum. The new minimum value of the air conditioner turn-off time range is calculated based on the optimized air conditioning load control data, and the new minimum value of the air conditioner turn-off time range is added to the minimum value of the air conditioner turn-off time range obtained the first time to obtain the sum of the minimum values ​​of the air conditioner turn-off time range. It is then determined whether the sum of the minimum values ​​of the air conditioner turn-off time range is greater than or equal to the response time range. If the sum of the minimum values ​​of the air conditioner turn-off time range is less than the corresponding time range, the temperature data and power values ​​of each air conditioner at this moment are returned to the deviation control model again according to the above method until the sum of the minimum values ​​of the air conditioner turn-off time range is greater than or equal to the response time range.

[0127] Specifically, the sum of the minimum values ​​of the air conditioner shutdown time range, t t The calculation formula is as follows:

[0128]

[0129] Where M represents the number of times the particle swarm optimization algorithm is used to find the optimal solution for the model; t last-min,t,M This is the minimum duration for which the air conditioner can be turned off, i.e., the range of off time.

[0130] Step 606: Use the output of the deviation control model when the deviation value is minimum as the air conditioning load regulation data.

[0131] For example, when it is determined from the air conditioning load control data that all air conditioners are in operation, the running time of all air conditioners will eventually reach the response time range of the air conditioning load control request. In this case, the output result of the deviation control model can be directly used as the air conditioning load control data.

[0132] In this embodiment, by comparing the relationship between the duration of maintaining indoor comfortable temperature and the response time range, it is determined whether the deviation control model needs to be optimized multiple times. This ensures that, with the deviation value minimized, both precise control of the air conditioning load can be achieved, and indoor comfort can be kept largely unaffected within the response time range.

[0133] In one embodiment, such as Figure 7 As shown, the range of shutdown time corresponding to air conditioning load control is determined based on the real-time temperature of the air conditioner and the real-time outdoor temperature, including:

[0134] Step 702: Obtain the environmental parameters and preset air conditioning temperature under the current state.

[0135] Among them, environmental parameters are environmental data used to characterize the environment in which the air conditioner is located. Environmental parameters include the room's equivalent thermal resistance and the room's equivalent heat capacity. The preset air conditioner set temperature is the maximum temperature that can be set when the air conditioner is controlled.

[0136] Step 704: Perform mathematical calculations based on the real-time temperature of the air conditioner, the real-time outdoor temperature, environmental parameters, and the set temperature of the air conditioner to obtain the shutdown time range.

[0137] For example, first calculate the off-time range t for each air conditioner according to the following formula. last,i,t :

[0138]

[0139] Among them, R i Indicates the equivalent thermal resistance of the room in which the air conditioner is located; Ci T represents the equivalent heat capacity of the room in which the air conditioner is located; bf,i,t T represents the temperature of the i-th air conditioner at time t, i.e., the real-time temperature of the air conditioner; out,t T represents the outdoor temperature at time t, i.e., the real-time outdoor temperature; max This indicates the upper limit of the temperature that the air conditioner can be set to, i.e., the air conditioner set temperature. In this embodiment, T represents the upper limit of the set temperature. max The value is taken as 28℃.

[0140] When air conditioning clusters are used for load control, the shutdown time range t is determined according to the following calculation formula. last-min,t :

[0141] t last-min，t =min(t) last，l，t , t last，2，t , ..., t last，i，t Where i = 1, 2, ..., N z .

[0142] In this embodiment, the air conditioner's shutdown time range is calculated based on the air conditioner's real-time temperature, outdoor real-time temperature, environmental parameters, and the air conditioner's set temperature, ensuring the accuracy of the shutdown time range determination.

[0143] This embodiment adopts the above method, taking into account the situation where the air conditioner can be turned off during air conditioner load regulation, which helps to improve the flexibility of the air conditioner load regulation scheme; and since the power potential value during air conditioner load regulation will increase when the air conditioner can be turned off, the corresponding power reduction target value will also increase, which helps to further alleviate the load pressure on the power grid.

[0144] Specifically, let's take a central air conditioning cluster in a building as an example. Assume there are 5 air conditioners in the central air conditioning cluster. First, obtain 9 sets of operating parameters for each air conditioner in the cluster. The operating parameters include: the total number N of air conditioners used for control. z The frequency f of the air conditioner compressor ij The frequency f of the air conditioner compressor ij The corresponding air conditioner power P ij The frequency f of the air conditioner compressor ij The corresponding air conditioning cooling capacity Q ij where i∈1~N z , j∈1~n, n≥9; The typical point-polyline method based on fuzzy membership is used to solve the air conditioning physical model. The air conditioning physical model is used to characterize the relationship between the air conditioning compressor frequency and the air conditioning power and cooling capacity. The expression for the air conditioning power is: P i,t =a i f i,t +b i The expression for the cooling capacity of an air conditioner is: Qi,t =P i,t η i,t Or Q i,t =c i f 2 i,t +d i f i,t +e i Table 1 shows some of the operating parameters of each air conditioner in the air conditioning cluster:

[0145] f1 19.32 … 39.84 … 100.50 f2 20.96 … 40.07 … 100.05 f3 19.91 … 41.02 … 100.70 f4 20.26 … 39.78 … 99.40 f5 19.78 … 39.62 … 100.38 P1 819.12 … 1616.09 … 4174.34 P2 811.85 … 1627.58 … 4155.15 P3 787.72 … 1659.02 … 4197.25 P4 777.97 … 1622.59 … 4170.18 P5 810.02 … 1658.67 … 4149.44 Q1 4017.31 … 5722.31 … 9944.36 Q2 4113.87 … 5455.00 … 10137.69 Q3 4000.66 … 5564.47 … 10561.11 Q4 3974.04 … 5802.09 … 10645.12 Q5 3735.06 … 5438.74 … 10064.15

[0146] Table 1

[0147] The scoring criteria were then fitted using a curve fitting tool (Curve Expert), and the constant coefficients of the air conditioning physical model are shown in Table 2.

[0148]

[0149] Table 2

[0150] Next, acquire power grid dispatch demand data, environmental data for each air conditioner in the air conditioning cluster, and real-time operation data. Among these, the power grid dispatch demand data includes the power demand value P. need Response time range t need Demand response time t (the time corresponding to the current state); environmental data includes the equivalent thermal resistance R of the room where the air conditioner is located. i The equivalent heat capacity C of the room where the air conditioner is located. i Outdoor ambient temperature T out,t Assess the control potential of the air conditioning cluster, i.e., the power potential value ΔP. t The declared power reduction amount should be clearly stated, i.e., the target value of the power reduction amount.

[0151] At point 1, calculate the minimum duration of all air conditioner shutdowns, i.e., the minimum range of air conditioner shutdown times, t. last-min,t The response time is 0.6h, when the response time range is t. need The control potential of the air conditioning cluster under different control time lengths, namely 0.6h, 1.2h, 1.8h, ..., is shown in Table 3.

[0152] 0.6 17.6734 1.2 13.4205 1.8 12.4709 2.4 12.1976 3 12.1136 3.6 12.0872 4.2 12.0789 4.8 12.0762 5.4 12.0754 6 12.0751 6.6 12.075 7.2 12.075 7.8 12.075

[0153] Table 3

[0154] As shown in Table 3, when t last-min,t Less than t needAs the control time decreases, the control potential of the air conditioning cluster increases. When the cluster control potential decreases to 12.075MW, the control time will become infinitely long. At this time, all air conditioners will repeatedly take turns shutting down to complete the grid dispatching task. This embodiment combines the grid response time for potential assessment, making the air conditioning potential assessment more accurate.

[0155] The optimal solution of the deviation control model is then obtained using the particle swarm optimization algorithm, and a control plan for the air conditioning cluster load is formulated. At time 1, the power grid issues a dispatching task, and the power grid demand response time is t. need For 3 hours, the power grid dispatch demand P need Plot the total air conditioning power variation curves for 6MW and 12MW respectively, as shown in the figure below. Figure 8 As shown in the figure, the three curves from top to bottom represent the changes in total power before regulation, the changes in power after regulation of 6MW, and the changes in power after regulation of 12MW. The horizontal axis represents time, and the vertical axis represents the grid load. Figure 8 It can be seen that the power grid demand response time t need For 3 hours, the power grid dispatch demand P need At 6MW and 12MW respectively, the air conditioning load control implemented in this application can fulfill the load control tasks issued by the power grid dispatch center. When the power grid demand response time t... need For 3 hours, the power grid dispatch demand P need For each 6MW unit, the control plan for the air conditioning cluster load is shown in Table 4:

[0156]

[0157]

[0158] Table 4

[0159] As can be seen from the air conditioning cluster load control plan in Table 4, the air conditioning control plan schemes given by the optimization calculation in this application are diverse. Regardless of the control plan, the power reduction of air conditioning control can meet the dispatching needs of the power grid. Therefore, users can select the control plan according to the actual situation. It can be seen that the optimization control method proposed in this application is highly flexible and has good user-friendliness.

[0160] In summary, compared with existing air conditioning control methods, this invention first obtains n sets of operating parameters for each air conditioner in the air conditioning cluster, and then evaluates the control potential ΔP of the air conditioning cluster. t First, clearly define the declared power reduction amount, i.e., the target value of power reduction. Second, obtain a deviation control model between the target value of power reduction for the air conditioning cluster and the power reduction value during air conditioning load regulation. Third, determine whether the air conditioning operating status data after regulation are all in operating status or determine the sum t of the minimum value of the air conditioning shutdown time range.t With response time range t need The magnitude of the load is used to determine the completion status of the power grid load regulation task. Finally, based on the output results of the deviation control model, a regulation plan for the air conditioning cluster load is formulated. The air conditioning load regulation method implemented in this application helps to achieve green and low-carbon scientific electricity use. At the same time, this application considers the situation where air conditioning can be turned off, which not only provides the power grid with a larger effective load adjustable capacity, but also provides a variety of air conditioning regulation plan schemes. Users can select a regulation plan according to the actual situation, which helps to improve the flexibility of air conditioning load regulation schemes.

[0161] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0162] Based on the same inventive concept, this application also provides an air conditioning load control device for implementing the air conditioning load control method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more air conditioning load control device embodiments provided below can be found in the limitations of the air conditioning load control method described above, and will not be repeated here.

[0163] In one embodiment, such as Figure 9 As shown, an air conditioning load control device is provided, including: a data acquisition module 902, a data processing module 904, and a load control module 906, wherein:

[0164] The data acquisition module 902 is used to acquire the real-time temperature of the air conditioner and the real-time outdoor temperature under the current state, and to determine the corresponding shutdown time range when the air conditioner load is controlled based on the real-time temperature of the air conditioner and the real-time outdoor temperature.

[0165] Data processing module 904 is used to determine the response time range in response to the air conditioning load control request, and to determine the power potential value during air conditioning load control based on the shutdown time range and the response time range.

[0166] The load control module 906 is used to obtain the preset power demand value when controlling the air conditioning load, obtain the power reduction target value based on the power potential value and the power demand value, and determine the air conditioning load control data based on the power reduction target value.

[0167] In one embodiment, the data processing module 904 is further configured to: determine whether the shutdown time range is less than the response time range; if the shutdown time range is less than the response time range, determine the power potential value based on the average power of the air conditioner in the current state and the initial power of the air conditioner; if the shutdown time range is greater than or equal to the response time range, use the sum of the initial power of the air conditioner as the power potential value.

[0168] In one embodiment, the load control module 906 is further configured to: acquire a deviation control model; determine the deviation between the power reduction target value and the power reduction value during air conditioning load control based on the deviation control model; optimize the deviation control model using an optimization algorithm to minimize the deviation value; and use the output result of the deviation control model when the deviation value is minimized as air conditioning load control data, wherein the air conditioning load control data includes air conditioning set temperature data and air conditioning operating status data.

[0169] In one embodiment, the load control module 906 is further configured to: obtain a preset power range and a preset indoor temperature range for air conditioning load control, and input the preset power range and the preset indoor temperature range into a deviation control model as constraints for the deviation control model to set the air conditioning temperature; based on the deviation control model, determine a target temperature value from the initial indoor temperature, the real-time outdoor temperature, and the indoor temperature range of the current environment where the air conditioner is located; determine the duration for which the indoor temperature exceeds the indoor temperature range after the air conditioner is turned off, and determine the air conditioner operating status data based on the duration; determine the total power of the air conditioner after control based on the current total power of the air conditioner and the power reduction target value, and determine the deviation between the power reduction target value and the power reduction value during air conditioning load control based on the total power of the air conditioner after control, the current power of the air conditioner, and the air conditioner operating status.

[0170] In one embodiment, the load control module 906 is further configured to: determine whether all air conditioners with the smallest deviation value are in operation based on the air conditioner operation status data; if there are air conditioners not in operation, determine the air conditioner load control data based on the shutdown time range and the response time range.

[0171] In one embodiment, the data acquisition module 902 is further configured to: acquire environmental parameters and preset air conditioning set temperature under the current state; and perform mathematical calculations based on the real-time air conditioning temperature, real-time outdoor temperature, environmental parameters and air conditioning set temperature to obtain the shutdown time range.

[0172] Each module in the aforementioned air conditioning load control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0173] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 10 As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores air conditioning data and power grid data. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements an air conditioning load control method.

[0174] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 11 As shown, the computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements an air conditioning load control method. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0175] Those skilled in the art will understand that Figure 10 and Figure 11The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0176] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0177] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0178] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0179] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0180] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0181] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0182] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for regulating air conditioning load, characterized in that, The method includes: The system obtains the real-time temperature of the air conditioner and the real-time outdoor temperature under the current state, as well as the environmental parameters and the preset air conditioner setting temperature under the current state. Based on the real-time temperature of the air conditioner, the real-time outdoor temperature, the environmental parameters, and the preset air conditioner setting temperature, mathematical calculations are performed to obtain the shutdown time range. The shutdown time range is the duration for which the indoor temperature can be maintained within the preset indoor comfort temperature range after the air conditioner is turned off. Determine the response time range in response to the air conditioning load control request, and determine whether the shutdown time range is less than the response time range. If the shutdown time range is less than the response time range, determine the power potential value based on the average power of the air conditioner in the current state and the initial power of the air conditioner. If the shutdown time range is greater than or equal to the response time range, use the sum of the initial power of the air conditioner as the power potential value. The system obtains a preset power demand value for air conditioning load regulation, calculates a power reduction target value based on the power potential value and the power demand value, and obtains a deviation control model. Based on the deviation control model, it determines the deviation between the power reduction target value and the power reduction value during air conditioning load regulation. The deviation control model is then optimized using an optimization algorithm to minimize the deviation value. The output of the deviation control model when the deviation value is minimized is used as the air conditioning load regulation data. The air conditioning load regulation data includes air conditioning set temperature data and air conditioning operating status data.

2. The method according to claim 1, characterized in that, The process of obtaining the power reduction target value based on the power potential value and the power demand value includes: Compare the power potential value with the power demand value; If the power potential value is greater than or equal to the power demand value, the power demand value shall be used as the power reduction target value. If the power potential value is less than the power demand value, the power potential value shall be used as the power reduction target value.

3. The method according to claim 1, characterized in that, The step of determining the deviation between the power reduction target value and the power reduction value during air conditioning load regulation based on the deviation control model includes: Obtain the preset power range and preset indoor temperature range for air conditioning load regulation, and input the preset power range and preset indoor temperature range into the deviation control model as constraints for the deviation control model to set the air conditioning temperature. Based on the deviation control model, a target temperature value is determined among the initial indoor temperature of the current environment where the air conditioner is located, the real-time outdoor temperature, and the indoor temperature range. The duration for which the indoor temperature exceeds the indoor temperature range after the air conditioner is turned off is determined, and the air conditioner operating status data is determined based on the duration. Based on the current total power of the air conditioner and the power reduction target value, the adjusted total power of the air conditioner is determined, and based on the adjusted total power of the air conditioner, the current power of the air conditioner, and the operating status of the air conditioner, the deviation between the power reduction target value and the power reduction value when the air conditioner load is adjusted is determined.

4. The method according to claim 3, characterized in that, The step of using the output of the deviation control model when the deviation value is minimized as the air conditioning load regulation data includes: Based on the air conditioner operating status data, determine whether all air conditioners with the smallest deviation value are in operation. If any air conditioner is not in operation, then determine the air conditioner load control data based on the shutdown time range and the response time range.

5. The method according to claim 3, characterized in that, Based on the deviation control model, a target temperature value is determined from the initial indoor temperature of the current environment where the air conditioner is located, the real-time outdoor temperature, and the indoor temperature range. The duration for which the indoor temperature exceeds the indoor temperature range after the air conditioner is turned off is determined, and the air conditioner operating status data is determined based on the duration, including: Based on the deviation control model, values ​​are taken within the preset indoor temperature range, and the duration of the indoor temperature exceeding the indoor temperature range after the air conditioner is turned off is determined according to the initial indoor temperature of the current environment where the air conditioner is located, the real-time outdoor temperature, and environmental data. When the indoor temperature exceeds the indoor temperature range for a duration greater than 0 after the air conditioner is turned off, the corresponding air conditioner operating status data is determined to be off. When the indoor temperature exceeds the indoor temperature range for a duration of 0 after the air conditioner is turned off, the corresponding air conditioner operating status data is determined to be "running".

6. An air conditioning load control device, characterized in that, The device includes: The data acquisition module is used to acquire the real-time temperature of the air conditioner and the real-time outdoor temperature under the current state, as well as the environmental parameters and the preset air conditioner set temperature under the current state; and to perform mathematical calculations based on the real-time temperature of the air conditioner, the real-time outdoor temperature, the environmental parameters and the preset air conditioner set temperature to obtain the shutdown time range; wherein, the shutdown time range is the duration for which the indoor temperature can be maintained within the preset indoor comfortable temperature range after the air conditioner is turned off. The data processing module is used to determine the response time range in response to the air conditioning load control request, and to determine whether the shutdown time range is less than the response time range. If the shutdown time range is less than the response time range, the power potential value is determined based on the average power of the air conditioner in the current state and the initial power of the air conditioner. If the shutdown time range is greater than or equal to the response time range, the sum of the initial power of the air conditioner is used as the power potential value. The load control module is used to acquire a preset power demand value for air conditioning load control, obtain a power reduction target value based on the power potential value and the power demand value, acquire a deviation control model, determine the deviation value between the power reduction target value and the power reduction value during air conditioning load control based on the deviation control model, optimize the deviation control model through an optimization algorithm to minimize the deviation value, and use the output result of the deviation control model when the deviation value is minimized as the air conditioning load control data. The air conditioning load control data includes air conditioning set temperature data and air conditioning operating status data.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

9. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

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