Pre-cooling regulation and control method and device of air conditioner, electronic equipment and storage medium

Abstract

The invention relates to a pre-cooling regulation and control method and device of an air conditioner, electronic equipment and a storage medium. Comprising the steps that an air conditioner demand response is obtained, and the air conditioner demand response comprises an air conditioner starting moment; obtaining indoor and outdoor environment temperature change conditions based on the air conditioner demand response, and determining a PMV index range and a corresponding user comfortable temperature range according to a preset user thermal comfort model based on the indoor and outdoor environment temperature change conditions; according to the user comfort degree range, the target load reduction amount and the preset temperature adjustment amount, a target air conditioner pre-cooling regulation and control strategy is determined, and the target air conditioner pre-cooling regulation and control strategy comprises a pre-cooling target temperature and a pre-cooling time window; and according to the target air conditioner pre-cooling regulation and control strategy, before the air conditioner is started, the current set temperature of the air conditioner is adjusted in the pre-cooling time window to meet the pre-cooling target temperature. Therefore, the problem that in the prior art, due to the fact that large-scale infrastructure transformation or user behavior change is needed, certain difficulty and cost exist in implementation is solved.

Description

Technical Field

[0001] The present application relates to the field of power system management and air conditioning control technology, and in particular to an air conditioning pre-cooling control method, device, electronic equipment and storage medium. Background Art

[0002] With the proposal of my country's "dual carbon" goals and the rapid growth of new energy installed capacity, the power system is facing new challenges. The volatility and intermittent characteristics of new energy power generation make the realization of power supply and demand balance more complicated, especially during the peak power consumption period in summer, the increase in air-conditioning load has become a key constraint on the safe and stable operation of the power system. According to relevant statistics, air-conditioning load usually accounts for more than half of the grid load during the peak period in summer, and the use of air-conditioning load shows significant seasonal and regional fluctuation characteristics. Therefore, while ensuring user comfort, how to achieve peak load reduction in typical summer scenarios to alleviate the pressure of power supply and demand has become a key task for achieving efficient power management and green and low-carbon development.

[0003] In related technologies, a variety of air conditioning load management strategies have been proposed. For example, through smart grid technology, remote control and scheduling of air conditioning equipment can be achieved, thereby reducing the operating power of air conditioners when the grid load is high, or increasing the operating power of air conditioners when the power supply is sufficient; in addition, some studies focus on improving the energy efficiency of air conditioners, by improving the design of air conditioners and using more efficient refrigerants to reduce the energy consumption per unit of cooling capacity.

[0004] However, these methods often require large-scale infrastructure transformation or changes in user behavior, which are difficult and costly to implement. This needs to be solved urgently. Summary of the invention

[0005] The present application provides an air conditioning pre-cooling control method, device, electronic device and storage medium to solve the problem that the existing technology requires large-scale infrastructure transformation or changes in user behavior, resulting in certain difficulties and costs in implementation. Under the premise of ensuring user comfort, it effectively alleviates the pressure of electricity supply and demand during the summer peak period.

[0006] To achieve the above-mentioned purpose, the first embodiment of the present application proposes a pre-cooling control method for an air conditioner, comprising the following steps:

[0007] Acquire an air conditioning demand response, wherein the air conditioning demand response includes an air conditioning start time;

[0008] Obtain the indoor and outdoor environmental temperature changes based on the air-conditioning demand response, and based on the indoor and outdoor environmental temperature changes, determine the PMV (Predicted Mean Vote) index range and the corresponding user comfort temperature range according to the preset user thermal comfort model;

[0009] According to the user comfort range, the target load reduction amount, and the preset temperature adjustment amount, determine the target air-conditioning precooling control strategy, where the target air-conditioning precooling control strategy includes the precooling target temperature and the precooling time window;

[0010] According to the target air-conditioning precooling control strategy, before the air-conditioning is turned on, adjust the current set temperature of the air-conditioning within the precooling time window to meet the precooling target temperature.

[0011] According to an embodiment of the present application, after adjusting the current set temperature of the air-conditioning within the precooling time window to meet the precooling target temperature, it further includes:

[0012] Based on the preset user thermal comfort model, establish a thermodynamics model of the air-conditioning unit;

[0013] Obtain the indoor temperature change during the air-conditioning demand response period, and based on the thermodynamics model and the indoor temperature change during the air-conditioning demand response period, predict the indoor temperature rise rate;

[0014] Obtain the contribution of a single air-conditioning load reduction during the air-conditioning demand response period, and based on the indoor temperature rise rate and the contribution of the single air-conditioning load reduction, dynamically adjust the target air-conditioning precooling control strategy.

[0015] According to an embodiment of the present application, before dynamically adjusting the target air-conditioning precooling control strategy based on the indoor temperature rise rate and the contribution of the single air-conditioning load reduction, it further includes:

[0016] Obtain the operating characteristics of the air-conditioning load, and based on the operating characteristics of the air-conditioning load, determine the air-conditioning load switch control model;

[0017] Based on the air-conditioning load switch control model, use the Monte Carlo strategy to simulate the operating characteristics of multiple single air-conditioning loads, and superimpose the operating characteristics of the multiple single air-conditioning loads to obtain the time aggregation power model of the user group's air-conditioning;

[0018] Based on the time aggregation power model, evaluate the response capabilities under different precooling strategies, and based on the evaluation results, obtain the contribution of the single air-conditioning load reduction.

[0019] According to an embodiment of the present application, dynamically adjusting the target air conditioner precooling control strategy based on the indoor temperature rising rate and the monomer air conditioner load reduction contribution amount includes:

[0020] Judging whether the indoor temperature during the air conditioner demand response period is less than or equal to the upper limit value of the user comfort range;

[0021] If the indoor temperature is less than or equal to the upper limit value of the user comfort range, then adjust the new precooling time window in the target air conditioner precooling control strategy to be:

[0022]

[0023] where t pre-cooling is the new precooling time window, C is the equivalent specific heat capacity, T0 is the temperature at the start of precooling, T′ min is the lower limit value of the user comfort range, is the energy efficiency coefficient of the air conditioner, P DR is the total power that is desired to be reduced during the demand response period.

[0024] According to an embodiment of the present application, after judging whether the indoor temperature during the air conditioner demand response period is less than or equal to the upper limit value of the user comfort range, it further includes:

[0025] If the indoor temperature is greater than the upper limit value of the user comfort range, then predict the room temperature rise value during the air conditioner demand response period;

[0026] Based on the room temperature rise value, adjust the new precooling time window in the target air conditioner precooling control strategy to be:

[0027]

[0028] where T DR is the room temperature rise value, T′ max is the upper limit value of the user comfort range, and P is the rated power of the air conditioner.

[0029] According to the pre-cooling control method of the air conditioner proposed by the embodiments of the present application, by obtaining the air conditioner demand response, the change situation of the indoor and outdoor environmental temperatures can be obtained based on the air conditioner demand response, and based on the change situation of the indoor and outdoor environmental temperatures, the PMV index range and the corresponding user comfort temperature range can be determined according to the preset user thermal comfort model; according to the user comfort range, the target load reduction amount and the preset temperature adjustment amount, the target air conditioner pre-cooling control strategy is determined, and the target air conditioner pre-cooling control strategy includes the pre-cooling target temperature and the pre-cooling time window; according to the target air conditioner pre-cooling control strategy, before the air conditioner is turned on, the current set temperature of the air conditioner is adjusted within the pre-cooling time window to meet the pre-cooling target temperature. Thereby, the problem that the existing technology is difficult and costly to implement due to the need for large-scale infrastructure transformation or changes in user behavior is solved, and the power supply and demand pressure during the summer peak period is effectively relieved on the premise of ensuring user comfort.

[0030] To achieve the above object, an embodiment of the second aspect of the present application proposes a pre-cooling control device for an air conditioner, including:

[0031] An acquisition module, configured to acquire the air conditioner demand response, wherein the air conditioner demand response includes the air conditioner turning-on time;

[0032] A first determination module, configured to obtain the change situation of the indoor and outdoor environmental temperatures based on the air conditioner demand response, and determine the PMV index range and the corresponding user comfort temperature range according to the preset user thermal comfort model based on the change situation of the indoor and outdoor environmental temperatures;

[0033] A second determination module, configured to determine the target air conditioner pre-cooling control strategy according to the user comfort range, the target load reduction amount and the preset temperature adjustment amount, and the target air conditioner pre-cooling control strategy includes the pre-cooling target temperature and the pre-cooling time window;

[0034] An adjustment module, configured to adjust the current set temperature of the air conditioner within the pre-cooling time window to meet the pre-cooling target temperature according to the target air conditioner pre-cooling control strategy before the air conditioner is turned on.

[0035] According to an embodiment of the present application, after adjusting the current set temperature of the air conditioner within the pre-cooling time window to meet the pre-cooling target temperature, the adjustment module further includes:

[0036] A building unit, configured to build a thermodynamics model of the air conditioner unit based on the preset user thermal comfort model;

[0037] A prediction unit, configured to obtain the change situation of the indoor temperature during the air conditioner demand response period, and predict the indoor temperature rising rate based on the thermodynamics model and the change situation of the indoor temperature during the air conditioner demand response period;

[0038] An adjustment unit is configured to obtain the contribution amount of individual air-conditioning load reduction during the air-conditioning demand response period, and dynamically adjust the target air-conditioning precooling control strategy based on the indoor temperature rising rate and the contribution amount of individual air-conditioning load reduction.

[0039] According to an embodiment of the present application, before dynamically adjusting the target air-conditioning precooling control strategy based on the indoor temperature rising rate and the contribution amount of individual air-conditioning load reduction, the adjustment unit is further configured to:

[0040] Obtain the operating characteristics of the air-conditioning load, and determine the air-conditioning load switch control model based on the operating characteristics of the air-conditioning load;

[0041] Based on the air-conditioning load switch control model, use the Monte Carlo strategy to simulate the operating characteristics of multiple individual air-conditioning loads, and superimpose the operating characteristics of the multiple individual air-conditioning loads to obtain the time aggregation power model of the user group's air-conditioning;

[0042] Evaluate the response capabilities under different precooling strategies based on the time aggregation power model, and obtain the contribution amount of individual air-conditioning load reduction based on the evaluation results.

[0043] According to an embodiment of the present application, the adjustment unit includes:

[0044] A judgment subunit is configured to judge whether the indoor temperature during the air-conditioning demand response period is less than or equal to the upper limit value of the user comfort range;

[0045] An adjustment subunit is configured to, when the indoor temperature is less than or equal to the upper limit value of the user comfort range, adjust the new precooling time window in the target air-conditioning precooling control strategy to be:

[0046]

[0047] where t pre-cooling is the new precooling time window, C is the equivalent specific heat capacity, T0 is the temperature at the start of precooling, T′ min is the lower limit value of the user comfort range, is the energy efficiency coefficient of the air-conditioning, and P DR is the total power that is desired to be reduced during the demand response period.

[0048] According to an embodiment of the present application, after judging whether the indoor temperature during the air-conditioning demand response period is less than or equal to the upper limit value of the user comfort range, the adjustment subunit is further configured to:

[0049] When the indoor temperature is greater than the upper limit value of the user comfort range, predict the rising value of the room temperature during the air-conditioning demand response period;

[0050] Adjust the new pre-cooling time window in the target air conditioner pre-cooling control strategy based on the room temperature rise value as follows:

[0051]

[0052] Where T DR is the room temperature rise value, T' max is the upper limit value of the user comfort range, and P is the rated power of the air conditioner.

[0053] According to the pre-cooling control device of the air conditioner proposed in the embodiment of the present application, by obtaining the air conditioner demand response, the change of the indoor and outdoor environmental temperature can be obtained based on the air conditioner demand response, and based on the change of the indoor and outdoor environmental temperature, the PMV index range and the corresponding user comfort temperature range can be determined according to the preset user thermal comfort model; according to the user comfort range, the target load reduction amount and the preset temperature adjustment amount, the target air conditioner pre-cooling control strategy is determined, and the target air conditioner pre-cooling control strategy includes the pre-cooling target temperature and the pre-cooling time window; according to the target air conditioner pre-cooling control strategy, before the air conditioner is turned on, the current set temperature of the air conditioner is adjusted within the pre-cooling time window to meet the pre-cooling target temperature. Thereby, the problem that the existing technology is difficult and costly to implement due to the need for large-scale infrastructure transformation or changes in user behavior is solved, and the power supply and demand pressure during the summer peak period is effectively alleviated on the premise of ensuring user comfort.

[0054] To achieve the above object, an electronic device is proposed in the third aspect embodiment of the present application, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the program to implement the pre-cooling control method of the air conditioner as described in the above embodiment.

[0055] To achieve the above object, a computer-readable storage medium is proposed in the fourth aspect embodiment of the present application, on which a computer program is stored, and the program is executed by a processor to be used to implement the pre-cooling control method of the air conditioner as described in the above embodiment.

[0056] To achieve the above object, a computer program product is proposed in the fifth embodiment of the present application, which includes a computer program, and when the computer program is executed by a processor, it is used to implement the pre-cooling control method of the air conditioner as described in the above embodiment.

[0057] The additional aspects and advantages of the present application will be partially given in the following description, partially become obvious from the following description, or be understood through the practice of the present application. Description of the Drawings

[0058] The above and / or additional aspects and advantages of the present application will become obvious and easy to understand from the following description of the embodiments in conjunction with the drawings, where:

[0059] Figure 1 It is a flowchart of a pre-cooling control method for an air conditioner provided according to an embodiment of the present application;

[0060] Figure 2 It is a schematic block diagram of a pre-cooling control device for an air conditioner provided according to an embodiment of the present application;

[0061] Figure 3 It is a schematic structural diagram of an electronic device provided according to an embodiment of the present application. Specific Embodiments

[0062] The embodiments of the present application will be described in detail below. The examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present application, and should not be construed as a limitation of the present application.

[0063] The pre-cooling control method, device, electronic device, and storage medium for an air conditioner proposed according to an embodiment of the present application will be described below with reference to the accompanying drawings. First, the pre-cooling control method for an air conditioner proposed according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0064] Figure 1 It is a flowchart of a pre-cooling control method for an air conditioner according to an embodiment of the present application.

[0065] Exemplarily, as Figure 1 shown, the pre-cooling control method for the air conditioner includes the following steps:

[0066] In step S101, obtain the air conditioner demand response, where the air conditioner demand response includes the air conditioner startup time.

[0067] It should be noted that according to the types and load characteristics of air conditioners, air conditioner loads can be divided into two categories: industrial and commercial central air conditioner loads and household split air conditioner loads. The embodiments of the present application mainly focus on pre-cooling control. Considering the universality and feasibility of the control strategy, only the household split air conditioner load is discussed.

[0068] During the process of obtaining the air conditioner demand response, special attention is paid to the startup time of the air conditioner, because this is directly related to the operating efficiency and energy consumption of the air conditioner. The air conditioner demand response not only includes the specific time point when the air conditioner is turned on, but also covers detailed information such as the temperature setting, operating duration, and possible intermittent shutdown during the operation of the air conditioner.

[0069] In step S102, based on the air conditioner demand response, obtain the indoor and outdoor environmental temperature change situation, and based on the indoor and outdoor environmental temperature change situation, determine the PMV index range and the corresponding user comfort temperature range according to a preset user thermal comfort model.

[0070] That is to say, in the process of considering air-conditioning demand response, it is first necessary to obtain the temperature changes in the indoor and outdoor environments. By real-time monitoring and analyzing these data, it is possible to further determine the PMV index range based on the temperature changes in the indoor and outdoor environments according to a preset user thermal comfort model. After determining the PMV index range, the corresponding user comfort temperature range can be set according to this range, so as to provide a user with an air-conditioning usage environment that is both energy-saving and comfortable.

[0071] Among them, the PMV index refers to an index used to evaluate environmental thermal comfort. It predicts the comfort level of people in a specific environment through comprehensive calculations of various factors such as human comfort feelings and the surrounding environmental temperature, humidity, air velocity, etc. The calculation of the PMV index involves the following main parameters: air temperature (i.e., the actual temperature of the environment), humidity (i.e., the relative humidity of the environment), relative humidity of the environment, wind speed (i.e., the flow velocity of the air), radiant temperature (i.e., the temperature radiated from surrounding objects to the human body), metabolic rate (i.e., the metabolic rate of the human body in a specific activity), and clothing thermal resistance (i.e., the warmth retention of the clothing worn). Through the calculation of these parameters, a PMV value is obtained, and its scoring range is [-3, +3], where: -3 represents "very cold"; -2 represents "cold"; -1 represents "slightly cold"; 0 represents "comfortable"; +1 represents "slightly hot"; +2 represents "hot"; +3 represents "very hot".

[0072] It can be understood that since the temperature acceptance degree of users is usually a temperature range, the thermal comfort is selected to represent the acceptance degree of users for the indoor temperature, and the PMV index is selected to quantify the influence of temperature on user comfort, that is:

[0073] I PMV =(0.303e -0.036M +0.028){M - σ - 3.05×10 -3 (1)

[0074] ×[5733 - 6.99(M - σ) - 58.15] - 1.7×10 -5 ×M(5867 - P w )

[0075] -0.0014M(34 - T in ) - 3.96

[0076] ×10 -8 f c [(T c +273) 4 -(T a +273) 4 -fc h c (T c -T in )};

[0077] Among them, I PMV is the PMV index, M is the human body metabolic rate, σ is the human body work efficiency, P w is the partial pressure of water vapor in the air around the human body, f c is the clothing coefficient of the human body, T c is the surface temperature of the clothing, T a is the mean radiant temperature, h c is the surface heat transfer coefficient, T in is the indoor air temperature.

[0078] It should be noted that since the embodiments of this application focus on precooling control and mainly focus on the indoor temperature, therefore, except for the indoor temperature T in all other parameters can be regarded as fixed values.

[0079] Furthermore, according to the "Code for Design of Heating, Ventilation and Air Conditioning", the PMV index value should preferably be in the range of [-1, +1] (that is, the PMV index is [-1, +1]). Therefore, according to Equation (1), the corresponding change interval [T′ min , T′ max of the room temperature when PMV is in [-1, +1] can be obtained, and it is used as the corresponding user comfort temperature range.

[0080] Among them, the preset user thermal comfort model (that is, the ETP (Equivalent Thermal Parameter) model) can be obtained by modeling the indoor temperature change using the equivalent thermal parameter model, that is:

[0081]

[0082] Among them, C a is the specific heat capacity of indoor air, C s is the specific heat capacity of solids, R s is the indoor solid thermal resistance, R h is the equivalent thermal resistance of the house, is the temperature control power of the unit, is the energy efficiency coefficient of the air conditioner, T o is the outdoor air temperature, T in is the indoor air temperature, T m is the indoor solid temperature, There is a linear relationship between the time derivative of the system state variables, the state of the system, and the input. Let \(x\) be the system state variables (related to the temperature state of the indoor air and solids), \(u\) be the system input variables (related to external input factors such as outdoor temperature and air-conditioning temperature control power), \(y\) be the system output variables, \(A\) be the system matrix (the internal dynamic relationship between system state variables, which determines the natural evolution trend of the system without external input), \(B\) be the input matrix (which determines how the external input variable \(u\) affects the system state variable \(x\)), \(C\) be the output matrix (which determines the mapping relationship between the system state variable \(x\) and the output variable \(y\)), and \(D\) be the direct transmission matrix.

[0083] Since the scenario involved in the embodiments of this application is a typical summer scenario, that is, the air conditioner is in the cooling state, Equation (2) can be simplified to a discrete first-order equation, namely:

[0084]

[0085] Wherein, is the indoor temperature at time \(t + 1\), is the indoor temperature at time \(t\), is the outdoor temperature at time \(t + 1\), \(R\) is the equivalent thermal resistance of the first-order model, \(C\) is the equivalent heat capacity of the first-order model, \(\Delta t\) is the time interval, \(s\) t is the working state of the air-conditioning switch at time \(t\), is the energy efficiency coefficient of the air conditioner, \(P\) AC is the rated power of the air conditioner.

[0086] In step S103, according to the user comfort range, the target load reduction amount, and the preset temperature adjustment amount, determine the target air-conditioning precooling control strategy, and the target air-conditioning precooling control strategy includes the precooling target temperature and the precooling time window.

[0087] Specifically, by precisely adjusting the set temperature (i.e., the preset temperature adjustment amount), determine the target load reduction ratio (i.e., the target load reduction amount), and combine with the user comfort range calculated in step S102, so as to determine a reasonable precooling target temperature and precooling time window. The purpose of this step is to optimize the operating efficiency of the air conditioner, reduce unnecessary energy consumption, and ensure that users can enjoy a comfortable environment when entering the room.

[0088] It should be noted that the precooling target temperature should be within the user comfort range to avoid causing discomfort to users, and optimize the precooling effect by adaptively adjusting the length of the precooling time window.

[0089] In step S104, according to the target air-conditioning precooling control strategy, before the air conditioner is turned on, adjust the current set temperature of the air conditioner within the precooling time window to meet the precooling target temperature.

[0090] That is to say, according to the determined target air-conditioning pre-cooling control strategy in step S103, the current set temperature of the air conditioner can be adjusted within the pre-cooling time window before the air conditioner is started to ensure that it reaches the pre-cooling target temperature. Through this strategy, the air-conditioning system can start and run for a period of time in advance before the user actually needs it to reach the set indoor temperature, so as to provide a cool environment when the user enters the room.

[0091] Further, in some embodiments, after adjusting the current set temperature of the air conditioner within the pre-cooling time window to meet the pre-cooling target temperature, it further includes: establishing a thermodynamics model of the air-conditioning unit based on a preset user thermal comfort model; obtaining the indoor temperature change during the air-conditioning demand response period, and predicting the indoor temperature rise rate based on the thermodynamics model and the indoor temperature change during the air-conditioning demand response period; obtaining the contribution of individual air-conditioning load reduction during the air-conditioning demand response period, and dynamically adjusting the target air-conditioning pre-cooling control strategy based on the indoor temperature rise rate and the contribution of individual air-conditioning load reduction.

[0092] After adjusting the current set temperature of the air conditioner within the pre-cooling time window to meet the pre-cooling target temperature, the system can monitor the room temperature change during the demand response in real time and dynamically optimize the air-conditioning load control strategy according to the actual situation. First, based on a preset user thermal comfort model, a thermodynamics model of the user's air-conditioning unit can be established, that is, in the refrigeration state, the relationship between its power and the indoor and outdoor temperatures is as follows:

[0093]

[0094] Q = μP AC ; (6)

[0095] Where Q is the refrigeration capacity, μ is the air-conditioning energy efficiency ratio, P AC is the rated power of the air conditioner, C is the equivalent specific heat capacity, R is the equivalent thermal resistance, T in is the indoor temperature, T out is the outdoor temperature.

[0096] From equation (5), it can be obtained that the indoor temperature under steady state is the same as the set temperature, then the consumed power P is:

[0097] P = α(T out - T set ); (7)

[0098]

[0099] Where α is the temperature response rate, which reflects the temperature sensitivity of the air-conditioning load, T out is the outdoor temperature, T set is the air-conditioning set temperature, μ is the air-conditioning energy efficiency ratio, and R is the equivalent thermal resistance.

[0100] Secondly, obtain the indoor temperature change during the air-conditioning demand response. Then, based on the thermodynamics model of the air-conditioning unit and the indoor temperature change during the air-conditioning demand response, predict the rising rate of the indoor temperature. This step is crucial because it directly relates to the response speed and efficiency of the air-conditioning system. Finally, obtain the contribution of individual air-conditioning load reduction during the air-conditioning demand response, which involves quantifying the energy-saving contribution that each air-conditioning unit can provide during the demand response. Based on the indoor temperature rising rate and the contribution of individual air-conditioning load reduction, dynamically adjust the pre-cooling control strategy of the target air-conditioning to ensure the maximization of energy conservation and efficiency while meeting user comfort.

[0101] For ease of understanding, the following details how to obtain the contribution of individual air-conditioning load reduction.

[0102] As a possible implementation, in some embodiments, before dynamically adjusting the pre-cooling control strategy of the target air-conditioning based on the indoor temperature rising rate and the contribution of individual air-conditioning load reduction, it further includes: obtaining the operating characteristics of the air-conditioning load, and determining the air-conditioning load switch control model based on the operating characteristics of the air-conditioning load; based on the air-conditioning load switch control model, using the Monte Carlo strategy to simulate the operating characteristics of multiple individual air-conditioning loads, and superimposing the operating characteristics of multiple individual air-conditioning loads to obtain the time-aggregated power model of the user group's air-conditioning; evaluating the response ability under different pre-cooling strategies based on the time-aggregated power model, and obtaining the contribution of individual air-conditioning load reduction based on the evaluation results.

[0103] It can be understood that the main function of the air-conditioning is to maintain the stability of the indoor temperature to provide a comfortable temperature control environment. Its working principle is to adjust the cooling capacity by the periodic start and stop of the compressor, so as to ensure that the indoor temperature always remains within the preset range. Among them, the upper and lower limit values of the temperature when the air-conditioning is working can be expressed by Equation (9) and Equation (10):

[0104] T min =T set -α / 2 (9)

[0105] T max =T set +α / 2 (10)

[0106] Among them, T min is the lower limit value of the temperature when the air-conditioning is working, t max is the upper limit value of the temperature when the air-conditioning is working, α is the air-conditioning temperature control range, and T set is the set temperature of the air-conditioning.

[0107] It should be noted that the air-conditioning load switch control model includes a switch state model and an individual air-conditioning load power consumption model.

[0108] According to the intermittent operation characteristics of the air conditioner working process, a switching state model corresponding to the single air conditioner load can be obtained:

[0109]

[0110] Among them, s t is the working state of the air conditioner switch at time t, Δt is the time interval, and T min is the lower limit value of the temperature when the air conditioner is working, and T max is the upper limit value of the temperature when the air conditioner is working.

[0111] To simplify the model, the power consumption of the air conditioner operation is regarded as constant (rated power P AC ), then the real-time power consumption P real of the air conditioner can be expressed as (that is, the power consumption model of the single air conditioner load):

[0112] P real = P AC ·s t . (12)

[0113] In view of the randomness of the air conditioner usage behavior of residential users and the independence of the air conditioner loads among different residential users, it is necessary to consider the influence of the change of the air conditioner switch state on each parameter in the aggregated thermodynamic model. Therefore, based on the analysis of the air conditioner usage of residential users, the Monte Carlo method can be used to simulate the characteristics of multiple air conditioner loads on the residential user side, and their powers are aggregated and superimposed, so as to construct a time-aggregated power model of the air conditioners of the user group to evaluate the aggregated response ability of the residential user group under different environments and conditions (pre-cooling strategy). Based on the evaluation results, it is possible to further determine the contribution of the single air conditioner load to the overall load reduction when implementing the pre-cooling strategy.

[0114] Among them, the time-aggregated power model is:

[0115]

[0116] Among them, P sum (t) is the aggregated power of the air conditioners of the residential users at time t, n is the total number of air conditioners, is the power of the i-th air conditioner at time t.

[0117] Furthermore, before constructing the time-aggregated power model of the air conditioners of the user group, the air conditioner load regulation potential of the user group can also be evaluated, and the evaluation and analysis can extend from a single residential user to the aggregated users.

[0118] Specifically, first, it can be determined whether the air conditioner in a single residential user is in the shutdown state. If the air conditioner is in the shutdown state, the regulation potential is 0; if the air conditioner is in the startup state, relevant parameters of the preset user thermal comfort model (Equation (3)) and thermodynamics model (Equation (5)) are collected. Among them, the temperature response rate can be obtained by calculating the energy efficiency ratio of the air conditioner and the equivalent heat capacity, and parameters such as the outdoor temperature can be obtained by meteorological monitoring equipment. Considering that the purpose of the residential user turning on the air conditioner is to achieve the best comfortable body feeling for themselves, it is default that the comfort level of the residential user before regulation is 0. Secondly, based on the unit adjustment amount of the air conditioner set temperature, the set temperature is adjusted in steps of 0.5 °C. Through Equation (1) and the PMV specification requirements, the upper and lower limits [T′ min , T′ max of the room temperature adjustment that meet the PMV requirements are calculated, and the maximum adjustment amount of the set temperature is ΔT set = T′ max - T′ min . Next, combined with the temperature response rate α, the air conditioner load regulation potential ΔP = α·ΔT that meets the user comfort range can be calculated set . Thus, it extends to the aggregated air conditioner load regulation potential of residential users as:

[0119]

[0120] Among them, ΔP A is the aggregated air conditioner load regulation potential of residential users, n is the number of residential users participating in air conditioner load management, ΔP i is the regulation potential of the i-th within the user comfort range, α i is the temperature response rate of the i-th residential user, and ΔT i is the maximum temperature adjustment amount of the i-th resident within the user comfort range.

[0121] Next, how to dynamically adjust the target air conditioner precooling regulation strategy based on the indoor temperature rise rate and the contribution of individual air conditioner load reduction will be described in detail.

[0122] As a possible implementation method, in some embodiments, based on the indoor temperature rise rate and the contribution of individual air conditioner load reduction, dynamically adjusting the target air conditioner precooling regulation strategy includes: determining whether the indoor temperature during the air conditioner demand response period is less than or equal to the upper limit value of the user comfort range; if the indoor temperature is less than or equal to the upper limit value of the user comfort range, then adjusting the new precooling time window in the target air conditioner precooling regulation strategy to be:

[0123]

[0124] Among them, t pre-cooling is the new precooling time window, C is the equivalent specific heat capacity, T0 is the temperature at the start of precooling, T′min is the lower limit value of the user comfort range, is the energy efficiency coefficient of the air conditioner, P DR is the total amount of power that is desired to be reduced during the demand response.

[0125] Specifically, in the process of dynamically adjusting the pre-cooling control strategy of the target air conditioner based on the rising rate of the indoor temperature and the contribution of a single air-conditioning system to load reduction, the indoor temperature during the air-conditioning demand response can be carefully judged and divided into two cases (whether the indoor temperature during the air-conditioning demand response is less than or equal to the upper limit value of the user comfort range) for strategy adjustment, that is, resetting the pre-cooling time window to ensure that the indoor environment can reach or be maintained within the user comfort range. When the indoor temperature during the air-conditioning demand response is indeed less than or equal to the upper limit value of the user comfort range, the new pre-cooling time window is as shown in Equation (15).

[0126] Optionally, in some other embodiments, after determining whether the indoor temperature during the air-conditioning demand response is less than or equal to the upper limit value of the user comfort range, it further includes: if the indoor temperature is greater than the upper limit value of the user comfort range, predicting the rising value of the room temperature during the air-conditioning demand response; adjusting the new pre-cooling time window in the pre-cooling control strategy of the target air conditioner based on the rising value of the room temperature to be:

[0127]

[0128] where T DR is the rising value of the room temperature, T′ max is the upper limit value of the user comfort range, and P is the rated power of the air conditioner.

[0129] Specifically, when the indoor temperature during the air-conditioning demand response is indeed greater than the upper limit value of the user comfort range, first, it is necessary to predict the rising value of the room temperature during the air-conditioning demand response, that is:

[0130]

[0131] where T DR is the rising value of the room temperature during the air-conditioning demand response, T′ min is the lower limit value of the user comfort range, t DR is the duration of the demand response, C is the equivalent specific heat capacity, and R is the equivalent thermal resistance.

[0132] Then, based on the predicted rising value of the room temperature during the air-conditioning demand response obtained from Equation (17), calculate the new pre-cooling time window as shown in Equation (16).

[0133] To facilitate those skilled in the art to further understand the pre-cooling control method of the air conditioner proposed in the embodiments of the present application, the following further elaboration is made.

[0134] It is understandable that the precooling strategy aims to reduce the air-conditioning load during demand response by pre-lowering the air-conditioning temperature while maintaining user comfort. Based on this, the precooling control method for the air conditioner proposed in the embodiments of the present application may specifically include the following steps:

[0135] (1) Define the demand response target: According to the control requirements, set the total power P that is expected to be reduced during demand response DR and the response duration t DR .

[0136] (2) Determine the user comfort range: Calculate the user comfort temperature range [T′ min , T′ max according to Equation (1).

[0137] (3) Set the precooling target temperature: Before the start of the air-conditioning demand response, adjust the set temperature of the air conditioner from the normal temperature to a lower precooling temperature. To ensure that the air conditioner stores sufficient cooling capacity before the start of the demand response, the target temperature can be set to T′ min .

[0138] (4) Determine the strategy according to the room temperature change during demand response (i.e., adjust the precooling time window), which is divided into two cases:

[0139] Case 1: When the indoor temperature does not exceed the upper limit of the user comfort temperature range during demand response, the new precooling time window is shown in Equation (15);

[0140] Case 2: When the indoor temperature exceeds the upper limit of the user comfort temperature range during demand response, the new precooling time window is shown in Equation (16).

[0141] (5) Calculate the power required for precooling: According to the thermodynamics model (as shown in Equation (5)), simplify the air-conditioning load into a discrete first-order equation to obtain the power demand during precooling as follows.

[0142]

[0143] Among them, P pre-cool is the precooling power demand, C a is the specific heat capacity of indoor air, T in is the indoor temperature, T pre-cool is the precooling target temperature, t pre-cool is the precooling time window, T out is the outdoor temperature, and R is the equivalent thermal resistance of the air conditioner.

[0144] (6) If that is, during the demand response period, the indoor temperature does not exceed the limit value of the user comfort temperature range, indicating that the air conditioner is always in the off state during the demand response period, then:

[0145]

[0146] Among them, t DR is the duration of demand response, P DR is the total amount of power expected to be reduced during demand response, p t is the probability that the air conditioner is in the on state (obtained from Equation (21)), T out is the outdoor temperature, T in is the indoor temperature, and here the value is T′ min , is the energy efficiency coefficient of the air conditioner, and R is the equivalent thermal resistance.

[0147] If that is, during demand response, the indoor temperature exceeds the limit value of the user's comfortable temperature range, indicating that during demand response, the air conditioner is not completely in the off state, then:

[0148]

[0149]

[0150] Among them, M is the human metabolic rate, ΔT is the change in indoor temperature during demand response, P eq,t is the equilibrium power at time t (which describes the equilibrium point of indoor temperature regulation or the energy / power required to maintain the change in indoor temperature during demand response), T out,t is the outdoor temperature at time t.

[0151] (7) Calculate the aggregated response ability of residential users: Simulate the total load response potential of the residential user group by superimposing the air conditioner loads of residential users.

[0152]

[0153] Among them, P agg (t) is the total load response potential of the residential user group, N is the number of residential users participating in demand response, P DR,i is the precooling power of the i-th air conditioner.

[0154] (8) Implement the precooling strategy and ensure that the precooling strategy meets the following requirements:

[0155] ① The indoor temperature reaches the temperature T′ min at the start of the response;

[0156] ② The power reduction target P DR is achieved during the response.

[0157] (9) Monitoring during demand response: During demand response, monitor the changes in indoor temperature and power reduction in real time. Ensure that the indoor temperature is within the user comfort range and the predetermined power reduction target is achieved. The set temperature of the air conditioner can also be adjusted in a timely manner to adapt to the changing demand for load reduction.

[0158] (10) Adjustment and optimization: If real-time monitoring finds that the room temperature is close to the upper limit T′ of the user comfort range max , the response strategy can be appropriately adjusted to increase the load reduction power and ensure that the target power reduction is achieved without affecting user comfort.

[0159] Furthermore, based on the pre-cooling control method of the air conditioner, an embodiment of the present application also proposes a pre-cooling control system for an air conditioner, which includes: an air conditioner load analysis module, a user comfort evaluation module, an air conditioner pre-cooling strategy module, an aggregated response ability evaluation module, and a real-time monitoring and optimization module.

[0160] Among them, the air conditioner load analysis module is used to analyze the operating characteristics of the user's air conditioner load and construct an air conditioner load switch control model, including a single air conditioner load power consumption model and a switch state model; the user comfort evaluation module is used to calculate the user comfort range based on the user thermal comfort model, and determine the PMV index value and its corresponding comfort interval in combination with the indoor and outdoor temperature changes; the air conditioner pre-cooling strategy module is used to generate a pre-cooling target temperature and a pre-cooling time window before the demand response event occurs, according to the user comfort range, the target load reduction amount, and the set temperature adjustment amount; the aggregated response ability evaluation module is used to simulate the air conditioner load characteristics on the residential user side through the Monte Carlo method, evaluate the air conditioner load regulation potential of the residential user group, and construct a time-aggregated power model of the residential user group by superimposing individual air conditioner loads, and the response ability under different pre-cooling strategies; the real-time monitoring and optimization module is used to monitor the indoor temperature changes, user comfort indicators, and power reduction during the response, so as to dynamically adjust the air conditioner set temperature and response strategy.

[0161] The pre-cooling control method of an air conditioner according to an embodiment of the present application obtains the air conditioner demand response, and can obtain the changes in indoor and outdoor environmental temperatures based on the air conditioner demand response. Based on the changes in indoor and outdoor environmental temperatures, the PMV index range and the corresponding user comfort temperature range are determined according to a preset user thermal comfort model; according to the user comfort range, the target load reduction amount, and the preset temperature adjustment amount, the target air conditioner pre-cooling control strategy is determined, and the target air conditioner pre-cooling control strategy includes the pre-cooling target temperature and the pre-cooling time window; according to the target air conditioner pre-cooling control strategy, before the air conditioner is turned on, the current set temperature of the air conditioner is adjusted within the pre-cooling time window to meet the pre-cooling target temperature. Thereby, the problem in the prior art that it is difficult and costly to implement due to the need for large-scale infrastructure transformation or changes in user behavior is solved, and the power supply and demand pressure during the summer peak period is effectively alleviated on the premise of ensuring user comfort.

[0162] Next, the pre-cooling control device of the air conditioner according to the embodiment of the present application will be described with reference to the accompanying drawings.

[0163] Figure 2 It is a block diagram of the pre-cooling control device of the air conditioner according to an embodiment of the present application.

[0164] As Figure 2 shown, the pre-cooling control device 10 of the air conditioner includes: an acquisition module 100, a first determination module 200, a second determination module 300, and an adjustment module 400.

[0165] Among them, the acquisition module 100 is used to acquire the air conditioner demand response, where the air conditioner demand response includes the air conditioner turn-on time;

[0166] The first determination module 200 is used to obtain the changes in indoor and outdoor environmental temperatures based on the air conditioner demand response, and determine the PMV index range and the corresponding user comfort temperature range according to a preset user thermal comfort model based on the changes in indoor and outdoor environmental temperatures;

[0167] The second determination module 300 is used to determine the target air conditioner pre-cooling control strategy according to the user comfort range, the target load reduction amount, and the preset temperature adjustment amount, and the target air conditioner pre-cooling control strategy includes the pre-cooling target temperature and the pre-cooling time window;

[0168] The adjustment module 400 is used to adjust the current set temperature of the air conditioner within the pre-cooling time window to meet the pre-cooling target temperature according to the target air conditioner pre-cooling control strategy before the air conditioner is turned on.

[0169] Furthermore, in some embodiments, after adjusting the current set temperature of the air conditioner within the pre-cooling time window to meet the pre-cooling target temperature, the adjustment module 400 further includes:

[0170] A building unit, configured to establish a thermodynamics model of an air-conditioning unit based on a preset user thermal comfort model;

[0171] A prediction unit, configured to obtain the indoor temperature change during the air-conditioning demand response period, and predict the indoor temperature rising rate based on the thermodynamics model and the indoor temperature change during the air-conditioning demand response period;

[0172] An adjustment unit, configured to obtain the contribution of a single air-conditioning load reduction during the air-conditioning demand response period, and dynamically adjust the pre-cooling control strategy of a target air-conditioning based on the indoor temperature rising rate and the contribution of the single air-conditioning load reduction.

[0173] Further, in some embodiments, before dynamically adjusting the pre-cooling control strategy of the target air-conditioning based on the indoor temperature rising rate and the contribution of the single air-conditioning load reduction, the adjustment unit is further configured to:

[0174] Obtain the operating characteristics of the air-conditioning load, and determine the air-conditioning load switch control model based on the operating characteristics of the air-conditioning load;

[0175] Based on the air-conditioning load switch control model, use the Monte Carlo strategy to simulate the operating characteristics of multiple single air-conditioning loads, and superimpose the operating characteristics of multiple single air-conditioning loads to obtain the time aggregation power model of the user group air-conditioning;

[0176] Evaluate the response capabilities under different pre-cooling strategies based on the time aggregation power model, and obtain the contribution of the single air-conditioning load reduction based on the evaluation results.

[0177] Further, in some embodiments, the adjustment unit includes:

[0178] A judgment subunit, configured to judge whether the indoor temperature during the air-conditioning demand response period is less than or equal to the upper limit value of the user comfort range;

[0179] An adjustment subunit, configured to, when the indoor temperature is less than or equal to the upper limit value of the user comfort range, adjust the new pre-cooling time window in the pre-cooling control strategy of the target air-conditioning to be:

[0180]

[0181] where t pre-cooling is the new pre-cooling time window, C is the equivalent specific heat capacity, T0 is the temperature at the start of pre-cooling, T′ min is the lower limit value of the user comfort range, is the energy efficiency coefficient of the air-conditioning, P DR is the total power amount desired to be reduced during the demand response period.

[0182] Further, in some embodiments, after determining whether the indoor temperature during the air conditioner demand response period is less than or equal to the upper limit value of the user comfort range, the adjustment subunit is further configured to:

[0183] When the indoor temperature is greater than the upper limit value of the user comfort range, predict the room temperature rise value during the air conditioner demand response period;

[0184] Based on the room temperature rise value, adjust the new pre-cooling time window in the target air conditioner pre-cooling control strategy to:

[0185]

[0186] where, T DR is the room temperature rise value, T' max is the upper limit value of the user comfort range, and P is the rated power of the air conditioner.

[0187] It should be noted that the foregoing explanation of the embodiments of the pre-cooling control method for air conditioners also applies to the pre-cooling control device for air conditioners in this embodiment, and will not be elaborated here.

[0188] According to the pre-cooling control device for an air conditioner provided by an embodiment of the present application, by obtaining the air conditioner demand response, the indoor and outdoor environmental temperature change situation can be obtained based on the air conditioner demand response, and based on the indoor and outdoor environmental temperature change situation, the PMV index range and the corresponding user comfort temperature range can be determined according to a preset user thermal comfort model; according to the user comfort range, the target load reduction amount, and a preset temperature adjustment amount, a target air conditioner pre-cooling control strategy is determined, and the target air conditioner pre-cooling control strategy includes a pre-cooling target temperature and a pre-cooling time window; according to the target air conditioner pre-cooling control strategy, before the air conditioner is turned on, the current set temperature of the air conditioner is adjusted within the pre-cooling time window to meet the pre-cooling target temperature. Thereby, the problem that the existing technology is difficult to implement and costly due to the need for large-scale infrastructure transformation or changes in user behavior is solved, and the power supply and demand pressure during the summer peak period is effectively relieved on the premise of ensuring user comfort.

[0189] Figure 3 This is a schematic structural diagram of an electronic device provided by an embodiment of the present application. The electronic device may include:

[0190] A memory 301, a processor 302, and a computer program stored on the memory 301 and executable on the processor 302.

[0191] When the processor 302 executes the program, it implements the pre-cooling control method for an air conditioner provided in the foregoing embodiment.

[0192] Further, the electronic device further includes:

[0193] A communication interface 303 for communication between the memory 301 and the processor 302.

[0194] A memory 301 for storing a computer program that can run on the processor 302.

[0195] The memory 301 may include a high-speed RAM (Random Access Memory) memory, and may also include a non-volatile memory, such as at least one disk memory.

[0196] If the memory 301, the processor 302, and the communication interface 303 are implemented independently, the communication interface 303, the memory 301, and the processor 302 can be interconnected through a bus and communicate with each other. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, Figure 3 only a thick line is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.

[0197] Optionally, in a specific implementation, if the memory 301, the processor 302, and the communication interface 303 are integrated on a chip, the memory 301, the processor 302, and the communication interface 303 can communicate with each other through an internal interface.

[0198] The processor 302 may be a CPU (Central Processing Unit), or an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application.

[0199] The embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the pre-cooling control method of the air conditioner as described above is implemented.

[0200] The embodiments of the present application also provide a computer program product, which includes a computer program, and when the computer program is executed by a processor, the pre-cooling control method of the air conditioner as described above is implemented.

[0201] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "a plurality of" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0202] In the description of this specification, descriptions with reference to terms such as "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic descriptions of the above terms are not necessarily directed to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0203] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A precooling control method for an air conditioner, characterized in that: The following steps are involved: Acquire an air conditioning demand response, wherein the air conditioning demand response includes an air conditioning start time; Acquire the indoor and outdoor ambient temperature changes based on the air conditioning demand response, and determine the PMV index range and the corresponding user comfort temperature range according to a preset user thermal comfort model based on the indoor and outdoor ambient temperature changes; Determining a target air conditioning precooling control strategy according to the user comfort range, the target load reduction amount and the preset temperature adjustment amount, wherein the target air conditioning precooling control strategy includes a precooling target temperature and a precooling time window; According to the target air-conditioning pre-cooling control strategy, before the air-conditioning is turned on, the current set temperature of the air-conditioning is adjusted within the pre-cooling time window to meet the pre-cooling target temperature.

2. The method according to claim 1, characterized in that After adjusting the current set temperature of the air conditioner within the precooling time window to meet the precooling target temperature, the method further includes: Based on the preset user thermal comfort model, a thermodynamic model of the air conditioning unit is established; Acquire indoor temperature changes during the air conditioning demand response period, and predict the indoor temperature rise rate based on the thermodynamic model and the indoor temperature changes during the air conditioning demand response period; The load reduction contribution of the individual air conditioner during the air conditioner demand response period is obtained, and the target air conditioner pre-cooling control strategy is dynamically adjusted based on the indoor temperature rising rate and the load reduction contribution of the individual air conditioner.

3. The method according to claim 2, characterized in that Before dynamically adjusting the target air-conditioning pre-cooling control strategy based on the indoor temperature rising rate and the single air-conditioning load reduction contribution, the method further includes: Acquire air conditioning load operation characteristics, and determine an air conditioning load switch control model based on the air conditioning load operation characteristics; Based on the air conditioning load switch control model, a Monte Carlo strategy is used to simulate the operating characteristics of multiple single air conditioning loads, and the multiple single air conditioning load operating characteristics are superimposed to obtain a time-aggregated power model of the user group air conditioning; The response capabilities under different precooling strategies are evaluated based on the time-aggregated power model, and the load reduction contribution of the single air conditioner is obtained based on the evaluation result.

4. The method according to claim 2, characterized in that: The dynamically adjusting the target air-conditioning pre-cooling control strategy based on the indoor temperature rising rate and the single air-conditioning load reduction contribution includes: Determining whether the indoor temperature during the air conditioning demand response period is less than or equal to an upper limit value of a user comfort range; If the indoor temperature is less than or equal to the upper limit of the user comfort range, the new precooling time window in the target air conditioning precooling control strategy is adjusted to: Among them, t pre-cooling is the new precooling time window, C is the equivalent specific heat capacity, T0 is the temperature at the beginning of precooling, ′ T min is the lower limit of the user comfort range, is the energy efficiency coefficient of the air conditioner, p DR is the total amount of power that is desired to be reduced during demand response.

5. The method according to claim 4, characterized in that After determining whether the indoor temperature during the air conditioning demand response period is less than or equal to the upper limit value of the user comfort range, the method further includes: If the indoor temperature is greater than the upper limit of the user comfort range, predicting the room temperature rise value during the air conditioning demand response period; The new precooling time window in the target air conditioning precooling control strategy is adjusted based on the room temperature rise value to: Among them, T DR is the room temperature rise value, is the upper limit of the user comfort range, and P is the rated power of the air conditioner.

6. A precooling control device for an air conditioner, characterized in that: include: An acquisition module, used to acquire an air conditioning demand response, wherein the air conditioning demand response includes an air conditioning start time; A first determination module is used to obtain indoor and outdoor ambient temperature changes based on the air conditioning demand response, and based on the indoor and outdoor ambient temperature changes, determine a PMV index range and a corresponding user comfort temperature range according to a preset user thermal comfort model; A second determination module is used to determine a target air conditioning precooling control strategy according to the user comfort range, the target load reduction amount and the preset temperature adjustment amount, wherein the target air conditioning precooling control strategy includes a precooling target temperature and a precooling time window; The adjustment module is used to adjust the current set temperature of the air conditioner to meet the precooling target temperature within the precooling time window before the air conditioner is turned on according to the target air conditioner precooling control strategy.

7. The device according to claim 6, characterized in that After adjusting the current set temperature of the air conditioner to meet the precooling target temperature within the precooling time window, the adjustment module further includes: An establishing unit, used for establishing a thermodynamic model of the air-conditioning unit based on the preset user thermal comfort model; A prediction unit, configured to obtain indoor temperature changes during an air conditioning demand response period, and predict an indoor temperature rise rate based on the thermodynamic model and the indoor temperature changes during the air conditioning demand response period; The adjustment unit is used to obtain the single air conditioner load reduction contribution during the air conditioner demand response period, and dynamically adjust the target air conditioner pre-cooling control strategy based on the indoor temperature rising rate and the single air conditioner load reduction contribution.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the pre-cooling control method for an air conditioner as described in any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the pre-cooling control method of the air conditioner as described in any one of claims 1 to 5.

10. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, is used to implement the pre-cooling control method of the air conditioner according to any one of claims 1 to 5.

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