Method, device, system and computer program product for evaluating the conditioning potential of an air conditioning equipment

Abstract

The application discloses a kind of air conditioning equipment's regulation and control potential evaluation method, device, system and computer program product. Among them, the method comprises: obtaining the operation application parameter, grid regulation and control parameter and meteorological parameter corresponding to air conditioning equipment in target response mode;Determine the temperature balance duration of air conditioning equipment based on operation application parameter and meteorological parameter;Temperature balance duration and grid regulation and control parameter are used to determine the target regulation and control mode corresponding to air conditioning equipment, wherein the target regulation and control mode is temperature regulation and control mode or shutdown regulation and control mode;According to target regulation and control mode, operation application parameter and grid regulation and control parameter, the target regulation and control potential of air conditioning equipment is obtained by evaluation.This application solves the technical problem that the regulation and control potential of air conditioning equipment is low in related art.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric power, in particular to a method, device, system and computer program product for evaluating the regulation potential of an air conditioning equipment. BACKGROUND

[0002] In recent years, with the development of new power systems, the demand response mechanism has become an important means to optimize power resource allocation and improve power grid stability. As one of the main power consumption devices in the power grid, air conditioners directly affect power load through temperature regulation and are considered a key link in demand response and new load management strategies. However, in the face of different usage habits of numerous air conditioner users and the diversification of regulation sensitivity, how to accurately evaluate the regulation potential of air conditioning equipment and enable it to effectively participate in power system regulation has become a technical problem that needs to be solved.

[0003] Currently, traditional air conditioner regulation potential evaluation methods mainly rely on optimization algorithms to generate regulation strategies by setting specific objective functions. This method faces high-dimensional calculation challenges when evaluating regional-level air conditioner regulation potential, and requires high system software and server hardware configurations, resulting in high implementation costs and limiting its widespread application in actual demand response scenarios. In addition, existing air conditioner regulation potential evaluation methods often focus on big data analysis, but air conditioner regulation potential in reality is also influenced by many other factors that are not considered by existing air conditioner regulation potential evaluation methods, leading to deviations between the evaluation results and actual situations.

[0004] Therefore, how to improve the accuracy of air conditioner regulation potential evaluation has become one of the important technical problems in the related technical field. In view of the above problems, no effective solutions have been proposed so far. SUMMARY

[0005] The embodiments of the present application provide a method, device, system and computer program product for evaluating the regulation potential of an air conditioning equipment, to at least solve the technical problem of low accuracy of air conditioner regulation potential evaluation in related technologies.

[0006] According to an aspect of an embodiment of the present application, a method for evaluating the regulation potential of an air conditioning equipment is provided, comprising: obtaining running application parameters, power grid regulation parameters and meteorological parameters corresponding to the air conditioning equipment under a target response mode; determining the temperature balance duration of the air conditioning equipment based on the running application parameters and the meteorological parameters; determining the target regulation mode corresponding to the air conditioning equipment using the temperature balance duration and the power grid regulation parameters, wherein the target regulation mode is a temperature regulation mode or a shutdown regulation mode; and evaluating the target regulation potential of the air conditioning equipment according to the target regulation mode, the running application parameters and the power grid regulation parameters.

[0007] Optionally, the target response mode is a real-time response mode or an invitation response mode, wherein in the real-time response mode, the air conditioning device responds to real-time regulation and control requirements issued by the power grid operation end in real time, and in the invitation response mode, the air conditioning device responds to predicted regulation and control requirements issued by the power grid operation end according to pre-set regulation and control response parameters.

[0008] Optionally, the operation application parameter includes a target temperature interval, an air conditioning operation power corresponding to the target response mode, and an air conditioning operation temperature corresponding to the target response mode, wherein the target temperature interval is a user comfort temperature interval pre-set for the air conditioning device; the grid regulation and control parameter includes a regulation and control duration and a demand response subsidy standard corresponding to the target response mode; and the meteorological parameter includes an ambient temperature corresponding to the air conditioning device.

[0009] Optionally, the temperature balance duration includes an upward balance duration and a downward balance duration; and based on the operation application parameter and the meteorological parameter, determining the temperature balance duration of the air conditioning device includes: in response to the ambient temperature being higher than the air conditioning operation temperature, calculating the upward balance duration according to the air conditioning operation temperature, an upper limit temperature of the target temperature interval, and a target temperature balance rate, wherein the upward balance duration is a duration required for the air conditioning operation temperature to balance upward to the upper limit temperature after the air conditioning device is turned off; and in response to the ambient temperature not being higher than the air conditioning operation temperature, calculating the downward balance duration according to the air conditioning operation temperature, a lower limit temperature of the target temperature interval, and the target temperature balance rate, wherein the downward balance duration is a duration required for the air conditioning operation temperature to balance downward to the lower limit temperature after the air conditioning device is turned off.

[0010] Optionally, determining the target regulation and control mode corresponding to the air conditioning device by using the temperature balance duration and the grid regulation and control parameter includes: in response to the regulation and control duration being greater than the upward balance duration and / or the regulation and control duration being greater than the downward balance duration, determining that the target regulation and control mode is a temperature regulation and control mode; and in response to the regulation and control duration being less than or equal to the upward balance duration and / or the regulation and control duration being less than or equal to the downward balance duration, determining that the target regulation and control mode is a shutdown regulation and control mode.

[0011] Optionally, evaluating the target regulation and control potential of the air conditioning device according to the target regulation and control mode, the operation application parameter, and the grid regulation and control parameter includes: determining an initial regulation and control potential of the air conditioning device according to the target regulation and control mode and the operation application parameter; and correcting the initial regulation and control potential by using the operation application parameter and the grid regulation and control parameter to obtain the target regulation and control potential.

[0012] Optionally, the initial control potential includes initial upward control potential and initial downward control potential. When the target control mode is temperature control mode, the initial control potential of the air conditioning equipment is determined according to the target control mode and operating application parameters, including: calculating the initial upward control potential of the air conditioning equipment based on the air conditioning operating temperature, lower limit temperature, and the target power change rate corresponding to the air conditioning equipment, wherein the target power change rate is used to characterize the change in operating power of the air conditioning equipment when adjusting a unit temperature; and calculating the initial downward control potential of the air conditioning equipment based on the air conditioning operating temperature, upper limit temperature, and target power change rate.

[0013] Optionally, when the target control mode is the shutdown control mode, the initial control potential of the air conditioning equipment is determined according to the target control mode and operating application parameters, including: calculating the upward control potential of the air conditioning equipment based on the air conditioning operating temperature, lower limit temperature and target power change rate; and determining the downward control potential of the air conditioning equipment based on the air conditioning operating power.

[0014] Optionally, the initial control potential is corrected using operating application parameters and grid control parameters to obtain the target control potential, including: obtaining the real-time electricity price corresponding to the air conditioning equipment; calculating the original electricity cost corresponding to the air conditioning equipment based on the real-time electricity price, the air conditioning operating power, and the required control duration; calculating the predicted reduction in electricity cost based on the real-time electricity price, the required control duration, the initial control potential, and the demand response subsidy standard; determining the first control participation willingness factor corresponding to the air conditioning equipment based on the original electricity cost, the predicted reduction in electricity cost, and a preset user benefit sensitivity coefficient; and correcting the initial control potential using the first control participation willingness factor and a preset second control participation willingness factor to obtain the target control potential, wherein the second control participation willingness factor is used to characterize the subjective intention of the air conditioning equipment user regarding whether to respond to the control demand.

[0015] According to another aspect of the embodiments of this application, an air conditioning equipment control potential assessment device is provided, comprising: an acquisition module, configured to acquire operating application parameters, power grid control parameters, and meteorological parameters corresponding to the air conditioning equipment under a target response mode; a first determination module, configured to determine the temperature equilibrium duration of the air conditioning equipment based on the operating application parameters and meteorological parameters; a second determination module, configured to determine the target control mode corresponding to the air conditioning equipment using the temperature equilibrium duration and the power grid control parameters, wherein the target control mode is a temperature control mode or a shutdown control mode; and an assessment module, configured to assess the target control potential of the air conditioning equipment based on the target control mode, the operating application parameters, and the power grid control parameters.

[0016] According to another aspect of the embodiments of this application, an air conditioning equipment control potential assessment system is also provided, including a memory and a processor. The memory stores a computer program, and the processor is configured to run the computer program to perform the air conditioning equipment control potential assessment method described above.

[0017] According to another aspect of the embodiments of this application, a computer program product is also provided, characterized in that it includes a computer program, which, when executed by a processor, implements the method for evaluating the control potential of an air conditioning device as described above.

[0018] In this embodiment, operating application parameters, power grid control parameters, and meteorological parameters corresponding to the air conditioning equipment are obtained under the target response mode. Based on the operating application parameters and meteorological parameters, the temperature equilibrium duration of the air conditioning equipment is determined. Using the temperature equilibrium duration and power grid control parameters, the target control mode corresponding to the air conditioning equipment is determined, wherein the target control mode is a temperature control mode or a shutdown control mode. Based on the target control mode, operating application parameters, and power grid control parameters, the target control potential of the air conditioning equipment is evaluated. Therefore, this application achieves the goal of accurately evaluating the control potential of the air conditioning equipment by considering its operating application parameters, power grid control parameters, and meteorological parameters, thereby improving the technical effect of enhancing the accuracy of the evaluation of the control potential of the air conditioning equipment and solving the technical problem of low accuracy in evaluating the control potential of air conditioning equipment in related technologies. Attached Figure Description

[0019] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0020] Figure 1 This is a hardware structure block diagram of a terminal device for an optional method of evaluating the control potential of air conditioning equipment according to an embodiment of this application;

[0021] Figure 2 This is a flowchart of a method for evaluating the control potential of an air conditioning device according to an embodiment of this application;

[0022] Figure 3 This is a structural block diagram of an air conditioning equipment control potential assessment device according to an embodiment of this application. Detailed Implementation

[0023] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present application.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0025] According to an embodiment of this application, an embodiment of a method for evaluating the control potential of an air conditioning device is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0026] Figure 1 This is a hardware structure block diagram of a terminal device for an optional method of evaluating the control potential of air conditioning equipment according to an embodiment of this application, such as... Figure 1 As shown, the terminal device may include one or more processors 102 (processor 102 may include, but is not limited to, a microprocessor (MCU) or a field-programmable gate array (FPGA), etc.), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, it may also include: a display device 110, an input / output device 108 (i.e., I / O device), a Universal Serial Bus (USB) port (which may be included as one of the ports of a computer bus, not shown in the figure), a network interface (not shown in the figure), a power supply (not shown in the figure), and / or a camera (not shown in the figure). Those skilled in the art will understand that... Figure 1The structure shown is for illustrative purposes only and does not limit the structure of the terminal device described above. For example, the terminal device may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0027] It should be noted that the aforementioned one or more processors 102 and / or other data processing circuits may be embodied, in whole or in part, as software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuitry may be a single, independent processing module, or may be integrated, in whole or in part, into any other element within the terminal device (or mobile device).

[0028] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the air conditioning equipment control potential assessment method in this embodiment of the application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby realizing the aforementioned air conditioning equipment control potential assessment method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to terminal devices via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0029] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of the terminal device. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0030] Under the above operating environment, the embodiments of this application provide the following: Figure 2 The method for assessing the control potential of air conditioning equipment is shown. Figure 2 This is a flowchart of a method for evaluating the control potential of an air conditioning device according to an embodiment of this application, such as... Figure 2 As shown, the method includes the following implementation steps:

[0031] Step S201: Obtain the corresponding operating application parameters, power grid control parameters, and meteorological parameters of the air conditioning equipment in the target response mode;

[0032] Step S202: Determine the temperature equilibration time of the air conditioning equipment based on the operating application parameters and meteorological parameters;

[0033] Step S203: Using the temperature balance time and power grid control parameters, determine the target control mode corresponding to the air conditioning equipment, wherein the target control mode is either the temperature control mode or the shutdown control mode.

[0034] Step S204: Based on the target control mode, operating application parameters and power grid control parameters, the target control potential of the air conditioning equipment is evaluated.

[0035] The aforementioned operating parameters include information such as the air conditioning unit's operating status, set temperature, user comfort range, and rated power in target response mode. For example, an air conditioning unit with a rated power of 1.5kW and a user-set comfort temperature range of 22℃ to 24℃ are both part of the operating parameters.

[0036] The aforementioned power grid control parameters may include the real-time electricity price of the power grid, the start time of demand response, the duration of control required, and the standard for demand response subsidies. For example, if the power grid may need to reduce its load during a specific time period, a demand response start time (e.g., 2 PM) and a control duration (e.g., 1 hour) will be set, and a response subsidy will be provided to air conditioning users who participate in the response.

[0037] The meteorological parameters mentioned above can include outdoor environmental parameters such as temperature, humidity, and sunlight intensity. For example, when the outdoor temperature is 30°C, the air conditioning equipment needs more energy to maintain the indoor temperature within the user's set comfort range, which will directly affect the air conditioning equipment's control potential.

[0038] In an exemplary application scenario, the target response mode collects the aforementioned operational application parameters, power grid control parameters, and meteorological parameters in real time through the sensors corresponding to the air conditioning equipment, user input, and power grid information interface, providing basic data for subsequent control potential assessment.

[0039] The temperature equilibrium time mentioned above refers to the time required for the indoor temperature to recover to the boundary of the user's comfortable temperature range after the air conditioner is turned off. The temperature equilibrium time depends on the temperature difference between indoors and outdoors and the rate of heat transfer in the environment.

[0040] In an exemplary application scenario, the temperature equilibrium time of the air conditioning unit in the off state is calculated based on the air conditioning operating temperature and user comfort temperature range in the operational application parameters, as well as the outdoor temperature and temperature equilibrium rate in the meteorological parameters. For example, assuming the indoor temperature is 26℃, the user comfort temperature range is 22℃ to 24℃, the outdoor temperature is 30℃, and the temperature equilibrium rate is 0.5℃ / minute, then the time required for the indoor temperature to recover to 22℃ is the temperature equilibrium time.

[0041] The aforementioned target control modes are either temperature control mode or shutdown control mode. Temperature control mode refers to adjusting the air conditioner's set temperature to affect the power load, while shutdown control mode refers to regulating the power load by directly stopping the air conditioner's operation.

[0042] In an exemplary application scenario, the target control mode—whether it's temperature control mode or shutdown control mode—can be determined by comparing the required control duration and the temperature equilibrium duration. If the required control duration is longer than the temperature equilibrium duration, the temperature control mode is selected; if the required control duration is less than or equal to the temperature equilibrium duration, the shutdown control mode is selected. For example, assuming the required control duration is 30 minutes, and the air conditioner's temperature equilibrium duration under current environmental conditions is 15 minutes, then the temperature control mode should be selected because after 15 minutes of shutdown, the indoor temperature will automatically return to the user's comfortable range, eliminating the need for additional control measures.

[0043] Furthermore, after determining the control mode, the amount of power load adjustment that the air conditioning equipment can make in response to grid demand is assessed, that is, the target control potential of the air conditioning equipment is determined. Specifically, this means determining the amount of power consumption that the air conditioning can increase or decrease under temperature control mode, and the amount of power consumption that the air conditioning can save under shutdown control mode.

[0044] Based on the target control mode, and combining operational application parameters and power grid control parameters, the control potential of the air conditioning equipment is calculated. For example, if the temperature control mode is determined to be used, the power load that the air conditioner can reduce within a specific time period will be calculated based on user comfort, the rated power of the air conditioner, and the power change required for temperature adjustment.

[0045] Through steps S201 to S204 described above, the method provided in this application embodiment can accurately assess the control potential of air conditioning equipment under different user and environmental differences, avoiding the high computational complexity and neglect of personalized user needs and environmental factors of traditional optimization methods. In other words, this application embodiment not only helps the power grid manage demand response and new loads more efficiently and accurately, but also enhances users' enthusiasm for participating in power grid regulation. The above technical solution can effectively explore and utilize the control potential of air conditioning resources, providing strong technical support for power demand response mechanisms and new load management.

[0046] In this embodiment, operating application parameters, power grid control parameters, and meteorological parameters corresponding to the air conditioning equipment are obtained under the target response mode. Based on the operating application parameters and meteorological parameters, the temperature equilibrium duration of the air conditioning equipment is determined. Using the temperature equilibrium duration and power grid control parameters, the target control mode corresponding to the air conditioning equipment is determined, wherein the target control mode is a temperature control mode or a shutdown control mode. Based on the target control mode, operating application parameters, and power grid control parameters, the target control potential of the air conditioning equipment is evaluated. Therefore, this application achieves the goal of accurately evaluating the control potential of the air conditioning equipment by considering its operating application parameters, power grid control parameters, and meteorological parameters, thereby improving the technical effect of enhancing the accuracy of the evaluation of the control potential of the air conditioning equipment and solving the technical problem of low accuracy in evaluating the control potential of air conditioning equipment in related technologies.

[0047] The methods described in the embodiments of this application will be further described below.

[0048] Optionally, in the above-mentioned method for assessing the control potential of air conditioning equipment, the target response mode is either a real-time response mode or an invited response mode. In the real-time response mode, the air conditioning equipment responds in real-time to the real-time control demands issued by the power grid operator. In the invited response mode, the air conditioning equipment selects to respond to the predicted control demands issued by the power grid operator based on pre-set control response parameters.

[0049] The target response mode is divided into real-time response mode and invitation response mode. These two modes are typical application scenarios of the power demand response mechanism and are adapted to the control needs of air conditioning equipment under different conditions.

[0050] In real-time response mode, the power grid operator can send control requests to the air conditioning equipment in real time based on the current power grid supply and demand situation and emergencies (such as power shortages, power grid fluctuations, etc.), requiring the air conditioning equipment to immediately adjust its operating status or set parameters to respond to the immediate needs of the power system.

[0051] In exemplary application scenarios, air conditioning equipment needs to have rapid response capabilities. In real-time response mode, it should be able to quickly enter or exit energy-saving mode, adjust the set temperature, or directly start and stop according to instructions from the power grid operator. For example, when the power grid needs to reduce load during peak hours, it will send a signal to the connected air conditioning equipment, requesting it to raise the set temperature by a few degrees during the scheduled time, thereby reducing power consumption.

[0052] Real-time response mode can quickly and flexibly address the immediate needs of the power grid, helping to alleviate the tension between power supply and demand and improve the stability and reliability of the power grid. For users, although they need to adjust their air conditioning usage in a short period of time, there are usually immediate subsidies or incentives to encourage them to participate in grid regulation, thereby balancing the relationship between user comfort and grid demand to a certain extent.

[0053] In the invitation-response mode, the power grid operator sends a forecast of control demand to the air conditioning equipment in advance. Users can choose whether to accept the invitation and the specific control parameters based on their usage needs and economic situation. The invitation usually includes the start time of the demand response, the duration, and the corresponding subsidy standard, allowing users more time to consider and prepare.

[0054] In an exemplary application scenario, users would receive notifications about potential future electricity demand response plans, which would include specific control parameters such as the adjusted temperature range and start / stop times. Users could then choose whether to respond and the extent of the response based on these parameters and their own needs. For example, a user might agree to raise the air conditioning temperature setting by 2°C on a specific date and time in exchange for financial compensation.

[0055] The invitation-only response model provides users with greater autonomy, allowing them to participate in electricity demand response independently without compromising their comfort. This model helps increase user participation; through pre-invitation and user selection, grid operators can more accurately predict and dispatch controllable resources, reducing unnecessary control commands and thus achieving more economical and precise electricity load management.

[0056] This application's embodiments combine real-time response and invitation-only response modes in the assessment of air conditioning equipment's control potential, achieving dynamic and personalized air conditioning control. This not only meets the grid's immediate response requirements to power demand but also considers user participation in control and the characteristics of equipment usage. This assessment method under a dual control mode helps the power system more efficiently explore and utilize the control potential of air conditioning resources, while ensuring user comfort and economic benefits. This further promotes the widespread implementation and optimization of power demand response mechanisms, establishing a positive interactive relationship between the power system and users.

[0057] Optionally, in the above-mentioned method for assessing the control potential of air conditioning equipment, the operating parameters include: target temperature range, air conditioning operating power corresponding to the target response mode, and air conditioning operating temperature corresponding to the target response mode, wherein the target temperature range is a preset user comfort temperature range for the air conditioning equipment; the power grid control parameters include: the control duration and the demand response subsidy standard corresponding to the target response mode; and the meteorological parameters include the ambient temperature corresponding to the air conditioning equipment.

[0058] The target temperature range mentioned above is the comfortable temperature range set by the user, which is the indoor temperature range that the air conditioning equipment is expected to maintain during operation. For example, the user may set a comfortable target temperature range of 22°C to 24°C.

[0059] The air conditioning operating power corresponding to the target response mode refers to the actual operating efficiency of the air conditioning equipment during normal operation in either real-time response mode or invitation response mode. For example, in real-time response mode, the air conditioning operating power refers to the real-time operating power; in invitation response mode, the air conditioning operating power is the set operating power.

[0060] The air conditioning operating temperature corresponding to the target response mode refers to the operating temperature of the air conditioning equipment in either the real-time response mode or the invited response mode. For example, in the real-time response mode, the air conditioning operating temperature refers to the real-time operating temperature (usually considered to be the same as the indoor temperature); in the invited response mode, the air conditioning operating temperature is the set operating temperature rate.

[0061] Operating parameters serve as the foundational data for assessing the control potential of air conditioning equipment. These parameters reflect the basic attributes of the equipment and the personalized needs of users. During the assessment process, operating parameters are combined with meteorological and power grid control parameters to calculate the control potential of the air conditioning equipment under specific environmental and power grid demands.

[0062] The duration of regulation required refers to the length of time during which the power grid operator requests air conditioning equipment to participate in regulation based on power supply and demand conditions or specific demand response plans. For example, during peak power hours, the power grid may require air conditioning units to reduce their power load for the next hour.

[0063] The demand response subsidy standard corresponding to the target response mode refers to the economic compensation standard set by the power grid operator for participating in regulation and control, based on either the real-time response mode or the invited response mode. Setting a demand response subsidy standard can encourage users or air conditioning equipment owners to actively respond to the power grid's regulation and control requirements. For example, in the real-time response mode, the demand response subsidy standard refers to the real-time response subsidy standard; in the invited response mode, the demand response subsidy standard refers to the invited response subsidy standard, and typically the real-time response subsidy standard is higher than the invited response subsidy standard.

[0064] The conditions and incentive mechanisms for power grid regulation can be determined by the power grid regulation parameters. The power grid regulation parameters, together with the operation and application parameters and meteorological parameters, determine the specific methods and extent to which air conditioning equipment participates in regulation.

[0065] Ambient temperature refers to the outdoor temperature of the environment in which the air conditioning equipment is located, and it is an important environmental factor affecting the operating efficiency and control potential of the air conditioning equipment. For example, if the outdoor temperature is 35°C, the air conditioning equipment will need more energy to maintain the indoor temperature within the target temperature range set by the user.

[0066] Meteorological parameters provide information about the external environment during the operation of air conditioning equipment, especially outdoor temperature. Outdoor temperature directly affects the operating status of air conditioning equipment and the determination of the temperature equilibrium duration in the calculation of its control potential.

[0067] This application embodiment comprehensively considers the multi-dimensional information reflected by the aforementioned operational application parameters, power grid control parameters, and meteorological parameters, enabling precise and personalized control of air conditioning equipment. During the evaluation process, the system can calculate the optimal control strategy for the air conditioning equipment in real-time response mode or invited response mode based on the user-set comfort temperature range, ambient temperature, and specific conditions of power demand response (such as the required control duration and subsidy standards). This includes the selection of temperature adjustment and shutdown adjustment, as well as the specific control potential (the amount of power load that can be increased or decreased). This method not only helps the power grid efficiently manage power demand and avoid load pressure during peak power periods, but also considers user comfort and economic benefits, increasing user enthusiasm for participating in power demand response. By incorporating user preferences and environmental factors, this application embodiment achieves in-depth exploration of the control potential of air conditioning resources, establishing a more intelligent and coordinated interactive mode between the power system and users.

[0068] Optionally, the temperature equilibrium time includes an upward equilibrium time and a downward equilibrium time; in step S202 above, determining the temperature equilibrium time of the air conditioning equipment based on operating application parameters and meteorological parameters may further include the following execution steps:

[0069] Step S221: In response to the ambient temperature being higher than the air conditioner operating temperature, the upward balance time is calculated based on the air conditioner operating temperature, the upper limit temperature of the target temperature range, and the target temperature balance rate. The upward balance time is the time required for the air conditioner operating temperature to balance upward to the upper limit temperature after the air conditioner is turned off.

[0070] Step S222: In response to the ambient temperature not being higher than the air conditioner operating temperature, the downward balancing time is calculated based on the air conditioner operating temperature, the lower limit temperature of the target temperature range, and the target temperature balancing rate. The downward balancing time is the time required for the air conditioner operating temperature to balance downward to the lower limit temperature after the air conditioner is turned off.

[0071] When the ambient temperature (i.e., the outdoor temperature) is higher than the air conditioner's operating temperature, the indoor temperature will naturally rise after the air conditioner is turned off, until it reaches the upper limit of the user-set comfortable temperature range. The upward balancing time is the time required for the indoor temperature to rise from the air conditioner's operating temperature to the upper limit of the target temperature range.

[0072] When the ambient temperature (i.e., the outdoor temperature) is lower than the air conditioner's operating temperature, the indoor temperature will naturally decrease after the air conditioner is turned off, until it reaches the lower limit of the user-set comfortable temperature range. The downward balancing time is the time required for the indoor temperature to drop from the air conditioner's operating temperature to the lower limit of the target temperature range.

[0073] In an exemplary application scenario, a temperature equilibrium time model for air conditioning equipment is established. Taking into account the constraints of the air conditioning equipment itself and user comfort, the time it takes for the temperature to recover to the boundary of the target temperature range when the air conditioning equipment is directly shut down is calculated, which is the aforementioned temperature equilibrium time.

[0074] When the ambient temperature greater than the air conditioner operating temperature When the air conditioning unit is turned off, the operating temperature of the air conditioner increases upward, and the corresponding upward equilibrium time T balance+ The calculation method can be shown in the following formula (1).

[0075]

[0076] In equation (1) above, H comfort,lim+ Indicates the upper limit temperature of the target temperature range; This represents the indoor measured temperature at time t in real-time response mode (i.e., the real-time operating temperature of the air conditioning unit); v H This represents the rate at which indoor and outdoor temperatures reach equilibrium per unit time.

[0077] For example, assuming the current air conditioner operating temperature is 20℃, the user's target temperature range is 22℃ to 24℃, the ambient temperature is 26℃, and the target temperature equilibrium rate (i.e., the natural rate at which the indoor and outdoor temperature difference decreases per unit time) is known to be 0.5℃ / minute. According to the above formula (1), after the air conditioner is turned off under the current conditions, the indoor temperature will naturally rise to the upper limit of the user-set comfortable temperature range (i.e., 24℃) within 8 minutes.

[0078] When the ambient temperature Lower than the air conditioner operating temperature When the air conditioning unit is turned off, the operating temperature decreases downwards, and the corresponding downward equilibrium time T balance- The calculation method can be shown in the following formula (2).

[0079]

[0080] For example, assuming the current air conditioner operating temperature is 28℃, the user's target temperature range is 22℃ to 24℃, the ambient temperature is 18℃, and the target temperature balancing rate is also 0.5℃ / minute. According to the above formula (2), after the air conditioner is turned off under the current conditions, the indoor temperature will naturally drop to the lower limit of the user's set comfortable temperature range (i.e., 24℃) within 8 minutes.

[0081] This application's embodiments, by calculating the upward and downward balancing durations, can predict the temperature change trend of air conditioning equipment in a shutdown state based on the current ambient temperature and the user-set comfort temperature range. This is one of the important bases for evaluating the air conditioning control potential. In power demand response, this duration data can help grid operators formulate more precise control strategies. For example, when the required control duration exceeds the upward or downward balancing duration, the temperature control mode is prioritized; when the required control duration is shorter than the balancing duration, the shutdown control mode is adopted. This method considers both the physical constraints of the equipment and the user's comfort needs, thereby achieving efficient evaluation and utilization of the air conditioning equipment's control potential while ensuring user comfort. This helps the grid to manage power demand more accurately and economically, promoting the improvement and application of demand response mechanisms.

[0082] Optionally, in step S203 above, determining the target control mode corresponding to the air conditioning equipment using the temperature balancing time and power grid control parameters may further include the following execution steps:

[0083] Step S231: In response to the need for control duration being greater than the upward balance duration and / or the need for control duration being greater than the downward balance duration, the target control mode is determined to be the temperature control mode.

[0084] Step S232: In response to the need for control duration being less than or equal to the upward balancing duration and / or the need for control duration being less than or equal to the downward balancing duration, the target control mode is determined to be the shutdown control mode.

[0085] The required adjustment duration refers to the duration during which the power grid, under the demand response mechanism, requires air conditioning equipment to adjust its operating status to respond to the power grid's demand.

[0086] In an exemplary application scenario, the system compares the required adjustment duration with the upward balancing duration and / or downward balancing duration. Taking the upward balancing duration as an example, if the required adjustment duration is greater than the upward balancing duration, this means that even if the air conditioning unit stops, the indoor temperature will naturally rise to above the upper limit of the user-set comfortable temperature range before the adjustment duration ends. Therefore, the temperature control mode is selected as the target control mode for the air conditioning unit to control the power load by adjusting the temperature setting. Similarly, if the required adjustment duration is greater than the downward balancing duration, the target control mode is also determined to be the temperature control mode.

[0087] For example, suppose the power grid needs to perform load management for one hour (the required adjustment period is 60 minutes), and the calculated upward balancing period based on the ambient temperature and air conditioning operating status is 30 minutes. This means that even if the air conditioning unit is turned off after 30 minutes, the indoor temperature will still rise above the user-set comfort temperature limit within one hour. Therefore, a temperature control mode is determined to be the better control strategy. The system will guide the air conditioning unit to adjust to a certain temperature setting within the required adjustment period to achieve the load management goal while ensuring that user comfort is not affected.

[0088] Furthermore, if the required adjustment period is less than or equal to the upward balancing period and / or the downward balancing period, this means that even if the air conditioning unit stops operating, the indoor temperature will remain within the user-set comfortable temperature range during the adjustment period. In this case, the target adjustment mode is determined to be the shutdown adjustment mode, which reduces power consumption by directly shutting down the unit without adjusting the temperature setting.

[0089] For example, if the required adjustment period is 20 minutes, and the upward balancing period is 30 minutes, this means that even if the air conditioner shuts off after 20 minutes, the indoor temperature will not rise above the user-set comfort temperature limit. Therefore, the shutdown control mode is determined, and the air conditioner will automatically shut off after 20 minutes as needed to respond to the short-term load management needs of the power grid.

[0090] In an exemplary application scenario, a potential model for air conditioning equipment that considers multi-dimensional information factors is established. Based on the indoor-outdoor temperature difference and the duration of temperature equilibrium, the target control mode to be adopted by the air conditioning equipment is determined, and then the corresponding target control potential is calculated.

[0091] In one case, the ambient temperature greater than the air conditioner operating temperature Duration T needs to be adjusted deal Greater than the upward equilibrium time T balance+ The target control mode is determined to be temperature control mode. Alternatively, the ambient temperature... Lower than the air conditioner operating temperature Duration T needs to be adjusted deal Greater than the downward equilibrium time T balance- The target control mode was determined to be the temperature control mode.

[0092] In another case, ambient temperature greater than the air conditioner operating temperature Duration T needs to be adjusted deal Less than the upward equilibrium time T balance+ The target control mode is determined to be the shutdown control mode. Alternatively, the ambient temperature... Lower than the air conditioner operating temperature Duration T needs to be adjusted dealLess than the downward equilibrium time T balance- The target control mode was determined to be the shutdown control mode.

[0093] Through steps S231 and S232, this embodiment of the application can intelligently select either a temperature control mode or a shutdown control mode based on the relationship between the required control duration and the temperature equilibrium duration, thereby achieving precise management of power load. This method not only considers the physical characteristics of the equipment but also takes into account the user's comfort needs, ensuring both the efficiency of the power demand response mechanism and the comfort of user participation. For grid operators, this method helps to more accurately predict and control power load, improving the stability and reliability of the power system; for users, it ensures that the indoor environment remains comfortable when participating in demand response, increasing user enthusiasm for participating in grid regulation. Furthermore, by intelligently selecting the control mode, this embodiment of the application also promotes the rational use of energy, contributing to the construction of a more intelligent and efficient power demand response and new load management system.

[0094] Optionally, in step S204 above, the assessment of the target control potential of the air conditioning equipment based on the target control mode, operating application parameters, and power grid control parameters may further include the following execution steps:

[0095] Step S241: Determine the initial control potential of the air conditioning equipment based on the target control mode and operating application parameters;

[0096] Step S242: Using the operating application parameters and power grid control parameters, the initial control potential is corrected to obtain the target control potential.

[0097] In an exemplary application scenario, after the target control mode is determined, the control potential of the air conditioning equipment is initially calculated based on the current operating parameters to obtain the aforementioned initial control potential. For the temperature control mode, the initial control potential may involve the increase or decrease in power load required to adjust the set temperature; for the shutdown control mode, the initial control potential mainly reflects the amount of power load that can be saved after the air conditioning equipment is shut down.

[0098] For example, on a summer afternoon, the target control mode is temperature control mode, the air conditioner's current set temperature is 25°C, and the user's comfort range is 22°C to 26°C. If the grid demand response requires a reduction in power load over the next hour, based on the air conditioner's rated power and the impact of temperature regulation on power load, the system initially calculates the amount of power load reduction that the air conditioner can achieve by raising the set temperature to 26°C over one hour, thus obtaining the initial control potential of the air conditioning equipment.

[0099] In an exemplary application scenario, after initially assessing the initial control potential of the air conditioning equipment, the impact of grid control parameters is further considered, and the initial control potential is adjusted to ensure that control is economically feasible while meeting constraints such as user comfort. This may involve adjusting the size of the control potential based on factors such as user benefit sensitivity and demand response subsidy standards.

[0100] Using the aforementioned summer afternoon scenario as an example, the initial calculated control potential is the amount of electricity load saved by raising the set temperature within one hour. However, to ensure that this control measure is economically feasible for users, the calculation is performed by combining demand response subsidy standards and user benefit sensitivity. If the subsidy standards are insufficient to cover the potential cost of reduced comfort for users due to raising the set temperature, or if users have a high benefit sensitivity, the calculated target control potential may need to be adjusted to reflect the control amount that users are more willing to accept.

[0101] Through steps S241 and S242, this embodiment of the application can comprehensively evaluate and correct the control potential of air conditioning equipment based on the target control mode, operating application parameters, and grid control parameters, ensuring that it meets the grid's demand response objectives while also considering user comfort and economic benefits. This method not only improves the accuracy and efficiency of power demand response but also enhances users' enthusiasm for participating in grid control, promoting power system stability and user satisfaction. It is an important technical support for building a smart grid and realizing the green energy transition. By intelligently evaluating and correcting control potential, this invention helps to utilize air conditioning equipment resources more scientifically and humanely during periods of power supply and demand tension, providing a powerful technical means for the practice of power demand response mechanisms.

[0102] Optionally, the initial control potential includes initial upward control potential and initial downward control potential; in step S241 above, when the target control mode is temperature control mode, determining the initial control potential of the air conditioning equipment based on the target control mode and operating application parameters may further include the following execution steps:

[0103] Step S2411: Calculate the initial upward adjustment potential of the air conditioning equipment based on the air conditioning operating temperature, lower limit temperature, and the target power change rate corresponding to the air conditioning equipment. The target power change rate is used to characterize the change in operating power of the air conditioning equipment when adjusting a unit temperature.

[0104] Step S2412: Calculate the initial downward adjustment potential of the air conditioning equipment based on the air conditioning operating temperature, upper limit temperature, and target power change rate.

[0105] The aforementioned initial upward adjustment potential refers to the ability of air conditioning equipment to increase power load by adjusting the set temperature (usually by raising the set temperature) when the power grid needs to increase its power load. The air conditioning operating temperature refers to the current indoor temperature set by the air conditioning equipment. The lower limit temperature refers to the lower limit of the user-set comfort temperature range; below this temperature, the user will feel too cold. The target power change rate is used to characterize the change in operating power of the air conditioning equipment when adjusting the temperature by one degree Celsius; that is, the change in operating power of the air conditioning equipment for every 1°C temperature adjustment.

[0106] In an exemplary application scenario, the initial upward adjustment potential is determined by calculating the increase in power load that can be achieved when the air conditioning unit is set to the lower limit of the user's comfortable temperature range (i.e., the lower limit temperature) at the current operating temperature.

[0107] Under temperature control mode, the initial upward potential The calculation method can be shown in the following formula (3).

[0108]

[0109] In the above formula (3), This represents the target power change rate.

[0110] For example, the current air conditioner operating temperature is 24℃, and the user sets the target temperature range to 22℃ to 26℃ (the lower limit is 22℃). The target power change rate is 50W / ℃ (i.e., for every 1℃ increase, the air conditioner's operating power increases by 50W). If the power grid needs to increase its power load, the air conditioner can respond by adjusting the set temperature from 24℃ to 22℃. According to the above formula (3), the initial upward adjustment potential is calculated. The value is 100W, which means that by lowering the set temperature to 22°C, the air conditioning unit can achieve a 100W increase in power load, that is, reduce power consumption to respond to the needs of the power grid.

[0111] Initial reduction potential refers to the ability of air conditioning equipment to reduce power load by adjusting the set temperature (usually lowering the set temperature) when the power grid needs to reduce power load. Upper limit temperature refers to the upper limit of the user-set comfort temperature range; above this temperature, the user will feel overheated.

[0112] Similar to step S2411, the initial reduction potential is determined by calculating the amount of power load reduction that can be achieved when the air conditioning equipment is set to the upper limit of the user's comfortable temperature range (i.e., the upper limit temperature) under the current operating temperature.

[0113] Under temperature control mode, the initial down-adjustment potential The calculation method can be shown in the following formula (4).

[0114]

[0115] For example, the current operating temperature of the air conditioner is 26℃, the user's target temperature range is 22℃ to 26℃ (the upper limit is 26℃), and the target power change rate is 50W / ℃. If the power grid needs to reduce the power load, the air conditioner can respond by adjusting the set temperature from 26℃ to 26℃ (this is a simplified explanation; in reality, it is an adjustment within the user's comfortable temperature range, such as from 26℃ to 25℃). The initial downward adjustment potential is calculated according to the above formula (4). The value is 50W, which means that by lowering the set temperature from 26°C to 25°C, the air conditioning unit can reduce its power load by 50W, that is, increase its power consumption to meet the needs of the power grid.

[0116] Through steps S2411 and S2412, the embodiments of this application can accurately calculate the initial upward and downward adjustment potentials based on the current operating status of the air conditioning equipment, the user-set comfort temperature range, and the target power change rate. These potential assessments provide the power grid with quantitative indicators of the air conditioning equipment's responsiveness, helping grid operators to more accurately plan power demand response strategies and ensure stable power system operation. Simultaneously, considering user comfort as an important external factor, the method of this invention achieves effective management and control of power load while ensuring user comfort, improving the feasibility of control and user participation, and providing strong technical support for building smart grids and promoting green energy transformation. Furthermore, this accurate potential assessment method can also promote the efficient use of air conditioning equipment, reduce unnecessary power consumption, and has positive significance for energy conservation, emission reduction, and environmental protection.

[0117] Optionally, in step S241 above, when the target control mode is the shutdown control mode, determining the initial control potential of the air conditioning equipment based on the target control mode and operating application parameters may further include the following execution steps:

[0118] Step S2413: Calculate the upward adjustment potential of the air conditioning equipment based on the air conditioning operating temperature, lower limit temperature, and target power change rate.

[0119] Step S2414: Determine the potential for lowering the power of the air conditioning equipment based on its operating power.

[0120] In shutdown control mode, the initial adjustment potential is independent of temperature because it relates to the air conditioning unit's ability to shut down directly during the required control period, thereby reducing power consumption. However, since shutting down the air conditioning unit may cause the indoor temperature to rise, potentially exceeding the upper limit of the user-set comfort temperature range, the calculation of the initial adjustment potential considers the time during which the air conditioning unit can remain shut down even when the indoor temperature rises to the upper limit of the comfort temperature range. This time is the basis for evaluating the initial adjustment potential.

[0121] Under the shutdown control mode, the initial upward potential is... The calculation method can be shown in the following formula (5).

[0122]

[0123] For example, assuming the current air conditioner operating temperature is 24℃, the lower limit of the user's comfortable temperature range is 22℃, and the adjustment time is 30 minutes. If it is calculated that, under the influence of the ambient temperature, the indoor temperature will rise to 26℃ (the upper limit of the comfortable temperature range) after 30 minutes, then the air conditioner's shutdown within the first 24 minutes (i.e., the time before reaching 26℃) can be considered as the initial potential for upward adjustment, because it reduces power consumption.

[0124] The initial reduction potential is calculated based on the operating power of the air conditioning unit during the required control period. In shutdown control mode, the initial reduction potential can be directly equal to the total power consumption that the air conditioning unit can save during the required control period, which is usually achieved by calculating the product of the required control period and the air conditioning unit's operating power.

[0125] Under the shutdown control mode, the initial downward potential is... The calculation method can be shown in the following formula (6).

[0126]

[0127] In the above equation (6), This represents the operating power of the air conditioner at time t in real-time response mode (i.e., real-time operating power).

[0128] For example, the current operating power of the air conditioner is 1.5kW, and the power grid requires a regulation period of 30 minutes. The initial downward regulation potential is calculated based on the above formula (6). The value is 0.75 kWh, which means that if the air conditioning unit is shut down within 30 minutes, 0.75 kWh of electricity consumption can be saved, thus realizing the potential for a 0.75 kWh reduction.

[0129] Through steps S2413 and S2414, this embodiment of the application provides the power grid with a quantitative assessment of the power-saving capacity of air conditioning equipment under the shutdown control mode. These assessment results help the power grid to more accurately plan its power demand response strategy, ensuring that the power system can effectively reduce unnecessary power consumption during the required control period, while also considering the key factor of user comfort. Compared with the temperature control mode, the calculation of upward and downward adjustment potential under the shutdown control mode is more direct, mainly considering the actual operating status of the air conditioning equipment and the required control period. This provides another flexible control method for power demand response, helping to utilize air conditioning equipment resources more efficiently during periods of power supply and demand tension, achieving dynamic balance of power load, thereby improving the stability and efficiency of the power system, ensuring user satisfaction, and promoting the practicality and intelligence of the power demand response mechanism.

[0130] Optionally, in step S242 above, the initial control potential is corrected using operating application parameters and power grid control parameters to obtain the target control potential, and may further include the following execution steps:

[0131] Step S2421: Obtain the real-time electricity price corresponding to the air conditioning equipment;

[0132] Step S2422: Calculate the original electricity cost of the air conditioning equipment based on the real-time electricity price, the air conditioning operating power, and the duration of control required.

[0133] Step S2423: Calculate the predicted reduction in electricity costs based on real-time electricity price, required control duration, initial control potential, and demand response subsidy standard.

[0134] Step S2424: Based on the original electricity cost, the predicted reduction in electricity cost, and the preset user benefit sensitivity coefficient, determine the first control participation willingness factor corresponding to the air conditioning equipment;

[0135] Step S2425: Using the first control participation willingness factor and the preset second control participation willingness factor, the initial control potential is corrected to obtain the target control potential. The second control participation willingness factor is used to characterize the user's subjective intention to respond to the control demand of the air conditioning equipment.

[0136] The aforementioned real-time electricity price refers to the price dynamically adjusted by the power grid based on supply and demand, reflecting the true cost of electricity at a given moment. Obtaining the current real-time electricity price from the power grid is crucial for subsequent calculations of electricity costs and for assessing the cost-effectiveness of regulatory potential.

[0137] The aforementioned raw electricity cost refers to the electricity bill for the air conditioning unit's power consumption without any adjustments. The raw electricity cost is calculated based on real-time electricity prices, the current operating power of the air conditioner, and the duration of adjustment required. In the exemplary application scenario, the raw electricity cost C... AC,0 The calculation method is shown in equation (7) below.

[0138]

[0139] In equation (7) above, c electric T represents the real-time electricity price. deal This indicates that the duration needs to be adjusted.

[0140] For example, suppose the current real-time electricity price is 0.8 yuan / kWh. If the air conditioner's operating power is 1.5kW, the required adjustment time is 1 hour, and the real-time electricity price is 0.8 yuan / kWh, then the original electricity cost C can be calculated according to the above formula (7). AC,0 The cost is 1.2 yuan. This means that without any adjustment, the air conditioning unit will consume 1.2 yuan of electricity during the period when adjustment is required.

[0141] Demand response subsidy standards refer to the subsidy policies set by the power grid to encourage users to participate in demand response. Users can reduce their electricity costs through response regulation. In real-time response mode, the demand response subsidy standard is the real-time response subsidy standard; in invited response mode, the demand response subsidy standard is the invited response subsidy standard. Based on real-time electricity prices, the duration of regulation required, initial regulation potential, and demand response subsidy standards, the amount of electricity cost savings that air conditioning equipment can achieve by participating in regulation is predicted.

[0142] In an exemplary application scenario, the predicted reduction in electricity costs includes C. AC,up and C AC,down C AC,up This indicates that the participation of air conditioning equipment in the upward adjustment of demand response is expected to reduce electricity costs, C AC,down This indicates that the participation of air conditioning equipment in the demand response adjustment is expected to reduce electricity costs. Correspondingly, taking the real-time response model as an example, the real-time response subsidy standard includes an increase in the subsidy standard c. DR,up (i.e., the subsidy standard when air conditioning equipment responds to increased load demand in real time) and the reduced subsidy standard c DR,down (That is, the subsidy standard when the air conditioning equipment responds to the demand for load reduction in real time). Based on this, the calculation method for the predicted reduction in electricity costs is shown in Equations (8) and (9) below.

[0143]

[0144] For example, assuming the demand response subsidy standard is 0.5 yuan per kWh of electricity saved, and if the initial control potential is 0.75 kWh, then according to equations (8) and (9), the predicted reduction in electricity costs is 0.3 yuan. This means that if air conditioning equipment participates in the control, it is expected to save 0.3 yuan in electricity costs.

[0145] The user benefit sensitivity coefficient refers to the degree to which users are sensitive to saving electricity costs through response regulation. The higher the coefficient, the more inclined users are to participate in regulation. In this embodiment, the degree to which users are willing to participate in regulation is determined based on the original electricity cost, the predicted reduction in electricity cost, and the user benefit sensitivity coefficient, i.e., the first regulation participation willingness factor.

[0146] In an exemplary application scenario, the first regulatory participation willingness factor This refers to the factor of users' willingness to participate in regulation under the consideration of economic benefits. A value of 1 indicates willingness to participate in load adjustments. A value of -1 indicates a willingness to participate in load reduction. A value of 0 indicates unwillingness to participate in regulation. (First regulatory participation willingness factor) The calculation method can be as follows: when hour, Take 1; when hour, Take -1; otherwise, Take 0.

[0147] The ρ above represents the user benefit sensitivity coefficient. The user benefit sensitivity coefficient is used to characterize the proportion by which the expected reduction in electricity costs exceeds the original electricity costs, and it is usually obtained in advance (e.g., determined through user questionnaires).

[0148] The aforementioned second factor of willingness to participate in regulation refers to the user's subjective willingness to respond to regulation based on factors such as their own comfort and habits, and is usually provided directly by the user (e.g., determined through user questionnaires).

[0149] In an exemplary application scenario, when users are willing to participate in load regulation based on their own comfort, habits, and other factors, the second regulation participation willingness factor... Select 1; when users are unwilling to participate in load regulation based on their own comfort, habits, and other factors, the second regulation participation willingness factor is selected. Take 0.

[0150] This application embodiment combines the first and second regulatory participation willingness factors to adjust the initial regulatory potential, so as to ensure that the regulatory strategy not only meets the user's pursuit of maximizing economic benefits, but also takes into account the user's comfort and willingness to participate in regulation.

[0151] In an exemplary application scenario, target adjustment potential includes the potential for target upward adjustment. And the potential for target reduction The target regulation potential is calculated as shown in equations (10) and (11) below.

[0152]

[0153] For example, the second regulatory participation factor The initial control potential is 0.75 kWh, and the first control participation willingness factor is 0.375 (users are willing to participate in 37.5% of the control considering economic benefits). Based on the above formulas (10) and (11), the target control potential is 0.28125 kWh. This means that after taking into account the user's economic interests and subjective willingness to participate, the actual control potential of the air conditioning equipment will be adjusted to 0.28125 kWh, ensuring that the control strategy is both economical and user-friendly.

[0154] Through steps S2421 to S2425, this embodiment of the application can quantitatively evaluate the cost-effectiveness of air conditioning equipment participating in power demand response, determine the degree of user willingness to participate in regulation, and adjust the regulation potential accordingly, ultimately obtaining a target regulation potential that both meets the economic interests of users and effectively responds to the needs of grid regulation. This method not only improves the accuracy and efficiency of power demand response but also enhances the enthusiasm of users to participate, achieving a win-win situation for grid operation and user interests. Simultaneously, by considering the subjective wishes of users, it avoids forcing users to accept regulation beyond their comfort range, ensuring user satisfaction and promoting the sustainable development of the power demand response mechanism.

[0155] This application proposes a method for assessing the control potential of air conditioning systems. It cleverly integrates temperature control and start-stop control modes, providing a more comprehensive and flexible assessment perspective for air conditioning equipment control under the power demand response mechanism. By deeply analyzing multi-dimensional data including user comfort, external ambient temperature, air conditioning rated power, target temperature range, operating habits, and meteorological information, this application can accurately calculate the potential control capabilities of air conditioning equipment under different control modes. This avoids the high computational complexity of traditional optimization strategies, greatly simplifies the assessment process, and significantly improves the real-time performance and practicality of the assessment.

[0156] This application's embodiments offer multiple beneficial effects. First, it significantly enhances user participation. By fully considering user comfort and control preferences, users can actively respond to electricity demands without sacrificing indoor comfort, providing a solid theoretical foundation for building a user-friendly demand response mechanism. Second, the enhanced control precision greatly improves the efficiency and stability of power dispatch. By accurately assessing the air conditioning control potential of different users, the power grid can achieve more accurate load forecasting and dynamic balancing. Third, the improved computational efficiency and the feasibility of the method reduce application costs, creating conditions for the large-scale promotion of this method and effectively promoting the optimal allocation of power resources. More importantly, this application's embodiments can mobilize air conditioning resources to participate in power demand response during periods of power supply and demand tension. This not only helps build an intelligent and efficient power demand response system but also supports the power system's transition to green and sustainable energy. By flexibly responding to electricity demand, balancing renewable energy fluctuations, and reducing dependence on fossil fuels, it contributes to environmental protection and sustainable energy development.

[0157] In summary, the embodiments of this application not only provide an efficient and accurate assessment method for air conditioning control under the power demand response mechanism, but also take into account user comfort and preferences, promote the stable operation of the power system, support the green energy transition, and provide strong technical support for realizing smart grids and promoting sustainable energy development.

[0158] In this embodiment, a device for evaluating the control potential of an air conditioning unit is also provided. This device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, a "module" is a combination of software and / or hardware that can perform a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0159] Figure 3 This is a structural block diagram of an air conditioning equipment control potential assessment device according to an embodiment of this application, such as... Figure 3 As shown, the device includes: an acquisition module 301, used to acquire the operating application parameters, power grid control parameters, and meteorological parameters corresponding to the air conditioning equipment in a target response mode; a first determination module 302, used to determine the temperature balance duration of the air conditioning equipment based on the operating application parameters and meteorological parameters; a second determination module 303, used to determine the target control mode corresponding to the air conditioning equipment using the temperature balance duration and power grid control parameters, wherein the target control mode is a temperature control mode or a shutdown control mode; and an evaluation module 304, used to evaluate the target control potential of the air conditioning equipment based on the target control mode, operating application parameters, and power grid control parameters.

[0160] Optionally, in the above-mentioned air conditioning equipment control potential assessment device, the target response mode is a real-time response mode or an invited response mode. In the real-time response mode, the air conditioning equipment responds in real time to the real-time control demand issued by the power grid operator. In the invited response mode, the air conditioning equipment selects to respond to the predicted control demand issued by the power grid operator according to the pre-set control response parameters.

[0161] Optionally, in the aforementioned air conditioning equipment control potential assessment device, the operating application parameters include: target temperature range, air conditioning operating power corresponding to the target response mode, and air conditioning operating temperature corresponding to the target response mode, wherein the target temperature range is a preset user comfort temperature range for the air conditioning equipment; the power grid control parameters include: the control duration and the demand response subsidy standard corresponding to the target response mode; and the meteorological parameters include the ambient temperature corresponding to the air conditioning equipment.

[0162] Optionally, the temperature balancing time includes an upward balancing time and a downward balancing time; the first determining module 302 is further configured to: in response to an ambient temperature higher than the air conditioner operating temperature, calculate the upward balancing time based on the air conditioner operating temperature, the upper limit temperature of the target temperature range, and the target temperature balancing rate, wherein the upward balancing time is the time required for the air conditioner operating temperature to balance upward to the upper limit temperature after the air conditioner is turned off; in response to an ambient temperature not higher than the air conditioner operating temperature, calculate the downward balancing time based on the air conditioner operating temperature, the lower limit temperature of the target temperature range, and the target temperature balancing rate, wherein the downward balancing time is the time required for the air conditioner operating temperature to balance downward to the lower limit temperature after the air conditioner is turned off.

[0163] Optionally, the second determining module 303 is further configured to: determine the target control mode as temperature control mode in response to the required control duration being greater than the upward balance duration and / or the required control duration being greater than the downward balance duration; and determine the target control mode as shutdown control mode in response to the required control duration being less than or equal to the upward balance duration and / or the required control duration being less than or equal to the downward balance duration.

[0164] Optionally, the evaluation module 304 is further configured to: determine the initial control potential of the air conditioning equipment based on the target control mode and operating application parameters; and correct the initial control potential using the operating application parameters and power grid control parameters to obtain the target control potential.

[0165] Optionally, the initial adjustment potential includes an initial upward adjustment potential and an initial downward adjustment potential; the aforementioned evaluation module 304 is further used to: when the target adjustment mode is a temperature adjustment mode, calculate the initial upward adjustment potential of the air conditioning equipment based on the air conditioning operating temperature, the lower limit temperature, and the target power change rate corresponding to the air conditioning equipment, wherein the target power change rate is used to characterize the change in operating power of the air conditioning equipment when adjusting a unit temperature; and calculate the initial downward adjustment potential of the air conditioning equipment based on the air conditioning operating temperature, the upper limit temperature, and the target power change rate.

[0166] Optionally, the aforementioned evaluation module 304 is further configured to: when the target control mode is the shutdown control mode, calculate the upward adjustment potential of the air conditioning equipment based on the air conditioning operating temperature, the lower limit temperature, and the target power change rate; and determine the downward adjustment potential of the air conditioning equipment based on the air conditioning operating power.

[0167] Optionally, the aforementioned evaluation module 304 is further configured to: obtain the real-time electricity price corresponding to the air conditioning equipment; calculate the original electricity cost corresponding to the air conditioning equipment based on the real-time electricity price, the air conditioning operating power, and the required control duration; calculate the predicted reduction in electricity cost based on the real-time electricity price, the required control duration, the initial control potential, and the demand response subsidy standard; determine the first control participation willingness factor corresponding to the air conditioning equipment based on the original electricity cost, the predicted reduction in electricity cost, and the preset user benefit sensitivity coefficient; and modify the initial control potential using the first control participation willingness factor and the preset second control participation willingness factor to obtain the target control potential, wherein the second control participation willingness factor is used to characterize the user's subjective intention to respond to the control demand.

[0168] It should be noted that the above modules can be implemented by software or hardware. For the latter, they can be implemented in the following ways, but are not limited to: all the above modules are located in the same processor; or, the above modules are located in different processors in any combination.

[0169] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided, the storage medium including a stored program, wherein, when the program is running, it controls the device where the storage medium is located to execute any of the aforementioned methods for evaluating the control potential of an air conditioning device.

[0170] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps: acquiring the operating application parameters, power grid control parameters, and meteorological parameters corresponding to the air conditioning equipment in a target response mode; determining the temperature balance duration of the air conditioning equipment based on the operating application parameters and meteorological parameters; determining the target control mode corresponding to the air conditioning equipment using the temperature balance duration and power grid control parameters, wherein the target control mode is a temperature control mode or a shutdown control mode; and evaluating the target control potential of the air conditioning equipment based on the target control mode, operating application parameters, and power grid control parameters.

[0171] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0172] According to another aspect of the embodiments of this application, a system for evaluating the control potential of an air conditioning device is also provided, including a memory and a processor. The memory stores a computer program, and the processor is configured to run the computer program to execute the air conditioning device control potential evaluation method of any of the foregoing embodiments.

[0173] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program: acquiring the operating application parameters, power grid control parameters, and meteorological parameters corresponding to the air conditioning equipment in the target response mode; determining the temperature balance duration of the air conditioning equipment based on the operating application parameters and meteorological parameters; determining the target control mode corresponding to the air conditioning equipment using the temperature balance duration and power grid control parameters, wherein the target control mode is a temperature control mode or a shutdown control mode; and evaluating the target control potential of the air conditioning equipment based on the target control mode, operating application parameters, and power grid control parameters.

[0174] According to another aspect of the embodiments of this application, a computer program product is also provided. Optionally, in this embodiment, the above-mentioned computer program product may include a computer program that, when executed by a processor, implements the method for evaluating the control potential of an air conditioning device as described above.

[0175] Optionally, the aforementioned computer program product may include a non-volatile computer-readable storage medium, which can be used to store a computer program that, when executed by a processor, implements the control potential assessment method for any of the aforementioned air conditioning devices.

[0176] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments and their optional implementations, and will not be repeated here.

[0177] The sequence numbers of the embodiments in this application are for description only and do not represent the superiority or inferiority of the embodiments.

[0178] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0179] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection can be through some interfaces; the indirect coupling or communication connection between units or modules can be electrical or other forms.

[0180] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0181] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0182] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, ROM, RAM, portable hard drives, magnetic disks, or optical disks.

[0183] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for evaluating the control potential of air conditioning equipment, characterized in that, include: In target response mode, acquire the corresponding operating application parameters, power grid control parameters, and meteorological parameters of the air conditioning equipment; Based on the operating application parameters and the meteorological parameters, the temperature equilibrium time of the air conditioning equipment is determined; Using the temperature equilibrium duration and the power grid control parameters, the target control mode corresponding to the air conditioning equipment is determined, wherein the target control mode is a temperature control mode or a shutdown control mode. Based on the target control mode, the operating application parameters, and the power grid control parameters, the target control potential of the air conditioning equipment is evaluated. The target response mode is either a real-time response mode or an invitation response mode. In the real-time response mode, the air conditioning equipment responds in real-time to the real-time control requirements issued by the power grid operator. In the invitation response mode, the air conditioning equipment selects to respond to the predicted control requirements issued by the power grid operator according to the preset control response parameters. The operating parameters include: target temperature range, air conditioner operating power corresponding to the target response mode, and air conditioner operating temperature corresponding to the target response mode, wherein the target temperature range is a preset user comfort temperature range for the air conditioning equipment; The power grid control parameters include: the control duration and the demand response subsidy standard corresponding to the target response mode; The meteorological parameters include the ambient temperature corresponding to the air conditioning equipment; The temperature balancing time includes an upward balancing time and a downward balancing time. Based on the operating application parameters and the meteorological parameters, determining the temperature balancing time of the air conditioning equipment includes: in response to an ambient temperature higher than the air conditioning operating temperature, calculating the upward balancing time based on the air conditioning operating temperature, the upper limit temperature of the target temperature range, and the target temperature balancing rate, wherein the upward balancing time is the time required for the air conditioning operating temperature to balance upward to the upper limit temperature after the air conditioning equipment is turned off; in response to an ambient temperature not higher than the air conditioning operating temperature, calculating the downward balancing time based on the air conditioning operating temperature, the lower limit temperature of the target temperature range, and the target temperature balancing rate, wherein the downward balancing time is the time required for the air conditioning operating temperature to balance downward to the lower limit temperature after the air conditioning equipment is turned off.

2. The method for evaluating the control potential of air conditioning equipment according to claim 1, characterized in that, Using the temperature equilibrium duration and the power grid control parameters, determining the target control mode corresponding to the air conditioning equipment includes: In response to the fact that the required adjustment time is greater than the upward balance time and / or the required adjustment time is greater than the downward balance time, the target adjustment mode is determined to be the temperature adjustment mode; In response to the fact that the required adjustment duration is less than or equal to the upward balancing duration and / or the required adjustment duration is less than or equal to the downward balancing duration, the target adjustment mode is determined to be the shutdown adjustment mode.

3. The method for evaluating the control potential of air conditioning equipment according to claim 1, characterized in that, Based on the target control mode, the operating application parameters, and the power grid control parameters, the target control potential of the air conditioning equipment was evaluated, including: The initial control potential of the air conditioning equipment is determined based on the target control mode and the operating application parameters. The initial control potential is corrected using the operating application parameters and the power grid control parameters to obtain the target control potential.

4. The method for evaluating the control potential of air conditioning equipment according to claim 3, characterized in that, The initial adjustment potential includes initial upward adjustment potential and initial downward adjustment potential; When the target control mode is the temperature control mode, the initial control potential of the air conditioning equipment is determined based on the target control mode and the operating application parameters, including: The initial upward adjustment potential of the air conditioning equipment is calculated based on the air conditioning operating temperature, the lower limit temperature, and the target power change rate corresponding to the air conditioning equipment, wherein the target power change rate is used to characterize the amount of change in operating power of the air conditioning equipment when adjusting a unit temperature; The initial downward adjustment potential of the air conditioning equipment is calculated based on the air conditioning operating temperature, the upper limit temperature, and the target power change rate.

5. The method for evaluating the control potential of air conditioning equipment according to claim 4, characterized in that, When the target control mode is the shutdown control mode, the initial control potential of the air conditioning equipment is determined based on the target control mode and the operating application parameters, including: The upward adjustment potential of the air conditioning equipment is calculated based on the air conditioning operating temperature, the lower limit temperature, and the target power change rate. Based on the operating power of the air conditioner, determine the potential for further reduction in the power consumption of the air conditioning equipment.

6. The method for evaluating the control potential of air conditioning equipment according to claim 3, characterized in that, Using the operational application parameters and the power grid control parameters, the initial control potential is corrected to obtain the target control potential, which includes: Obtain the real-time electricity price corresponding to the air conditioning equipment; The original electricity cost of the air conditioning equipment is calculated based on the real-time electricity price, the air conditioning operating power, and the required adjustment duration. Based on the real-time electricity price, the required regulation duration, the initial regulation potential, and the demand response subsidy standard, the predicted reduction in electricity costs is calculated. Based on the original electricity cost, the predicted reduction in electricity cost, and the preset user benefit sensitivity coefficient, the first control participation willingness factor corresponding to the air conditioning equipment is determined. The initial control potential is modified using the first control participation willingness factor and the preset second control participation willingness factor to obtain the target control potential. The second control participation willingness factor is used to characterize the user's subjective intention to respond to the control demand of the air conditioning equipment.

7. A device for evaluating the control potential of an air conditioning unit, characterized in that, include: The acquisition module is used to acquire the corresponding operating application parameters, power grid control parameters, and meteorological parameters of the air conditioning equipment in the target response mode. The first determining module is used to determine the temperature equilibrium duration of the air conditioning equipment based on the operating application parameters and the meteorological parameters. The second determining module is used to determine the target control mode corresponding to the air conditioning equipment by using the temperature balance time and the power grid control parameters, wherein the target control mode is a temperature control mode or a shutdown control mode. An evaluation module is used to evaluate the target control potential of the air conditioning equipment based on the target control mode, the operating application parameters, and the power grid control parameters. The target response mode is either a real-time response mode or an invitation response mode. In the real-time response mode, the air conditioning equipment responds in real-time to the real-time control requirements issued by the power grid operator. In the invitation response mode, the air conditioning equipment selects to respond to the predicted control requirements issued by the power grid operator according to the preset control response parameters. The operating parameters include: target temperature range, air conditioner operating power corresponding to the target response mode, and air conditioner operating temperature corresponding to the target response mode, wherein the target temperature range is a preset user comfort temperature range for the air conditioning equipment; The power grid control parameters include: the control duration and the demand response subsidy standard corresponding to the target response mode; The meteorological parameters include the ambient temperature corresponding to the air conditioning equipment; The temperature balancing time includes an upward balancing time and a downward balancing time. The first determining module is further configured to, in response to an ambient temperature higher than the air conditioner operating temperature, calculate the upward balancing time based on the air conditioner operating temperature, the upper limit temperature of the target temperature range, and the target temperature balancing rate, wherein the upward balancing time is the time required for the air conditioner operating temperature to balance upward to the upper limit temperature after the air conditioner is turned off; and in response to an ambient temperature not higher than the air conditioner operating temperature, calculate the downward balancing time based on the air conditioner operating temperature, the lower limit temperature of the target temperature range, and the target temperature balancing rate, wherein the downward balancing time is the time required for the air conditioner operating temperature to balance downward to the lower limit temperature after the air conditioner is turned off.

8. A system for evaluating the control potential of air conditioning equipment, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program and the processor is configured to run the computer program to perform the method for evaluating the control potential of the air conditioning device according to any one of claims 1 to 6.

9. A computer program product, characterized in that, The system includes a computer program that, when executed by a processor, implements the method for assessing the control potential of the air conditioning equipment according to any one of claims 1 to 6.

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