Regulation and control potential evaluation method, device and system of air conditioning equipment and computer program product

Abstract

The invention discloses a regulation and control potential evaluation method, device and system for air conditioning equipment and a computer program product. The method comprises the steps that operation application parameters, power grid regulation and control parameters and meteorological parameters corresponding to the air conditioning equipment are obtained in a target response mode; based on the operation application parameters and the meteorological parameters, the temperature balance duration of the air conditioning equipment is determined; according to the temperature balance duration and the power grid regulation and control parameters, a target regulation and control mode corresponding to the air conditioner equipment is determined, and the target regulation and control mode is a temperature regulation and control mode or a shutdown regulation and control mode; and according to the target regulation and control mode, the operation application parameters and the power grid regulation and control parameters, the target regulation and control potential of the air conditioning equipment is obtained through evaluation. The technical problem of low accuracy of regulation and control potential evaluation of the air conditioning equipment in related technologies is solved.

Description

Technical Field

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

[0002] In recent years, with the development of new power systems, the power demand response mechanism has become an important means to optimize the allocation of power resources and improve the stability of the power grid. As one of the main energy-consuming devices in the power grid, air conditioners directly affect the power load through temperature regulation and are regarded as a key link in demand response and new load management strategies. However, faced with the different usage habits of many air conditioner users and the diversity of their sensitivity to regulation, how to accurately evaluate the regulation potential of air conditioners and enable them to effectively participate in the regulation of the power system has become a technical problem that needs to be solved urgently.

[0003] At present, traditional air conditioning regulation potential assessment methods mainly rely on optimization algorithms to generate regulation strategies by setting specific objective functions. This method faces high-dimensional computing challenges when dealing with regional-level air conditioning regulation potential assessment, places high requirements on system software and server hardware configuration, has high implementation costs, and is also subject to strong restrictions on its widespread application in actual demand response scenarios. In addition, existing air conditioning regulation potential assessment methods often focus on big data analysis. However, the air conditioning regulation potential in reality is also affected by many other factors that are not taken into account by existing air conditioning regulation potential assessment methods, which leads to deviations between existing assessment results and actual conditions.

[0004] From the above, how to improve the accuracy of the evaluation of the control potential of air-conditioning equipment has become one of the important technical issues in the relevant technical field. Currently, no effective solution has been proposed for the above problems. Summary of the invention

[0005] The embodiments of the present application provide a method, device, system and computer program product for evaluating the control potential of air-conditioning equipment, so as to at least solve the technical problem of low accuracy in evaluating the control potential of air-conditioning equipment in the related art.

[0006] According to one aspect of an embodiment of the present application, a method for evaluating the control potential of an air-conditioning device is provided, including: obtaining operating application parameters, power grid control parameters and meteorological parameters corresponding to the air-conditioning device in a target response mode; determining the temperature balance time of the air-conditioning device based on the operating application parameters and the meteorological parameters; determining a target control mode corresponding to the air-conditioning device 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; and evaluating the target control potential of the air-conditioning device based on the target control mode, the operating application parameters and the power grid control 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 equipment responds in real time to the real-time control requirements issued by the power grid operation end, and in the invitation response mode, the air-conditioning equipment selects to respond to the predicted control requirements issued by the power grid operation end according to pre-set control response parameters.

[0008] Optionally, the operating application parameters include: a target temperature range, an air-conditioning operating power corresponding to a target response mode, and an air-conditioning operating temperature corresponding to a target response mode, wherein the target temperature range is a user comfort temperature range preset for the air-conditioning equipment; the grid control parameters include: the required control time 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.

[0009] Optionally, the temperature balance time includes an upward balance time and a downward balance time; based on the operating application parameters and the meteorological parameters, determining the temperature balance time of the air-conditioning equipment includes: in response to the ambient temperature being higher than the air-conditioning operating temperature, calculating the upward balance time according to the air-conditioning operating temperature, the upper limit temperature of the target temperature range, and the target temperature balance rate, wherein the upward balance 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 shut down; in response to the ambient temperature not being higher than the air-conditioning operating temperature, calculating the downward balance time according to the air-conditioning operating temperature, the lower limit temperature of the target temperature range, and the target temperature balance rate, wherein the downward balance 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 shut down.

[0010] Optionally, the temperature balance time and the grid control parameters are used to determine the target control mode corresponding to the air-conditioning equipment, including: in response to the required control time being greater than the upward balance time and / or the required control time being greater than the downward balance time, determining that the target control mode is the temperature control mode; in response to the required control time being less than or equal to the upward balance time and / or the required control time being less than or equal to the downward balance time, determining that the target control mode is the shutdown control mode.

[0011] Optionally, evaluating the target control potential of the air-conditioning equipment according to the target control mode, operating application parameters and grid control parameters includes: determining the initial control potential of the air-conditioning equipment according to the target control mode and operating application parameters; and correcting the initial control potential using the operating application parameters and grid control parameters to obtain the target control potential.

[0012] Optionally, the initial regulation potential includes an initial upward regulation potential and an initial downward regulation potential; when the target regulation mode is the temperature regulation mode, determining the initial regulation potential of the air-conditioning equipment according to the target regulation mode and the operating application parameters includes: calculating the initial upward regulation potential of the air-conditioning equipment according to 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 when the air-conditioning equipment adjusts a unit temperature; calculating the initial downward regulation potential of the air-conditioning equipment according to the air-conditioning operating temperature, the upper limit temperature and the target power change rate.

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

[0014] Optionally, the initial regulation potential is corrected using the operating application parameters and the grid regulation parameters to obtain the target regulation potential, which includes: 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 regulation time; calculating the predicted reduction in electricity cost based on the real-time electricity price, the required regulation time, the initial regulation potential and the demand response subsidy standard; determining the first regulation 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; using the first regulation participation willingness factor and the preset second regulation participation willingness factor to correct the initial regulation potential to obtain the target regulation potential, wherein the second regulation participation willingness factor is used to characterize the subjective intention of the user of the air-conditioning equipment as to whether to respond to the regulation demand.

[0015] According to another aspect of an embodiment of the present application, a device for evaluating the control potential of an air-conditioning device is provided, including: an acquisition module for acquiring operating application parameters, power grid control parameters and meteorological parameters corresponding to the air-conditioning device in a target response mode; a first determination module for determining the temperature balance time of the air-conditioning device based on the operating application parameters and the meteorological parameters; a second determination module for determining a target control mode corresponding to the air-conditioning device 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 for evaluating the target control potential of the air-conditioning device according to the target control mode, the operating application parameters and the power grid control parameters.

[0016] According to another aspect of an embodiment of the present application, a control potential assessment system for air-conditioning equipment is also provided, comprising a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute any one of the above-mentioned control potential assessment methods for air-conditioning equipment.

[0017] According to another aspect of an embodiment of the present application, a computer program product is also provided, characterized in that it includes a computer program, and when the computer program is executed by a processor, it implements any of the above-mentioned methods for evaluating the control potential of air-conditioning equipment.

[0018] In an embodiment of the present application, the operating application parameters, power grid control parameters and meteorological parameters corresponding to the air-conditioning equipment are obtained in the target response mode; based on the operating application parameters and meteorological parameters, the temperature balance time of the air-conditioning equipment is determined; using the temperature balance time 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; according to 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. As a result, the present application achieves the purpose of accurately evaluating the control potential of the air-conditioning equipment by considering the operating application parameters, power grid control parameters and meteorological parameters of the air-conditioning equipment, thereby achieving the technical effect of improving the evaluation accuracy of the control potential of the air-conditioning equipment, and further solving the technical problem of low accuracy in evaluating the control potential of the air-conditioning equipment in the related art. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

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

[0021] Figure 2 is a flow chart of a method for evaluating the control potential of air-conditioning equipment according to an embodiment of the present application;

[0022] Figure 3 It is a structural block diagram of a control potential evaluation device for air-conditioning equipment according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work 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 and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] According to an embodiment of the present 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 of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0026] Figure 1 is a hardware structure block diagram of a terminal device for an optional method for evaluating the control potential of air-conditioning equipment according to an embodiment of the present application, such as Figure 1 As shown, the terminal device may include one or more processors 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor (Microcontroller Unit, referred to as MCU) or a programmable logic device (Field Programmable Gate Array, referred to as FPGA)), 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., an 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). It can be understood by those skilled in the art that Figure 1The structure shown is for illustration only and does not limit the structure of the above terminal device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0027] It should be noted that the 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. In addition, the data processing circuit may be a single independent processing module, or may be fully or partially integrated into any of the other components in the terminal device (or mobile device).

[0028] The memory 104 can be used to store software programs and modules of application software, such as program instructions / data storage devices corresponding to the control potential evaluation method of air-conditioning equipment in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, the control potential evaluation method of the air-conditioning equipment described above is realized. The memory 104 may include a high-speed random access memory, and may also include a 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 a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the terminal device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0029] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the terminal device. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0030] Under the above operating environment, the embodiment of the present application provides the following Figure 2 The control potential assessment method of air conditioning equipment shown in Figure 2 is a flow chart of a method for evaluating the control potential of an air-conditioning device according to an embodiment of the present application, such as Figure 2 As shown, the method includes the following implementation steps:

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

[0032] Step S202, determining the temperature balance time of the air conditioning equipment based on the operating application parameters and the meteorological parameters;

[0033] Step S203, using the temperature balance time and the power grid control parameters, determining a target control mode corresponding to the air-conditioning equipment, wherein the target control mode is a temperature control mode or a shutdown control mode;

[0034] Step S204: evaluating and obtaining the target regulation potential of the air-conditioning equipment according to the target regulation mode, the operating application parameters and the grid regulation parameters.

[0035] The above-mentioned operation application parameters are information such as the operation status of the air conditioner in the target response mode, the set temperature, the user comfort range, the air conditioner rated power, etc. For example, the rated power of an air conditioner is 1.5kW, and the user sets the comfortable temperature range from 22℃ to 24℃, which are all part of the operation application parameters.

[0036] The above-mentioned grid control parameters may include the real-time electricity price of the grid, the start time of demand response, the duration of control required, the subsidy standard for demand response, etc. For example, in a certain time period, the grid may need to reduce the load. At this time, a demand response start time (such as 2 pm) and the duration of control required (such as 1 hour) will be set, and response subsidies will be given to air-conditioning users who participate in the response.

[0037] The above-mentioned meteorological parameters may include parameters such as temperature, humidity, sunlight intensity, etc. of the outdoor environment. For example, when the outdoor temperature is 30°C, the air conditioning equipment requires more energy to keep the indoor temperature within the comfortable range set by the user, which will directly affect the regulation potential of the air conditioning equipment.

[0038] In an exemplary application scenario, in the target response mode, the above-mentioned operating application parameters, grid control parameters and meteorological parameters are collected in real time through the sensors corresponding to the air-conditioning equipment, user input and grid information interface, providing basic data for the subsequent regulation potential evaluation.

[0039] The above temperature balance time refers to the time required for the indoor temperature to return to the boundary of the user's comfortable temperature range after the air conditioner is shut down. The temperature balance time depends on the temperature difference between indoor and outdoor and the ambient heat transfer rate.

[0040] In an exemplary application scenario, the temperature balance time of the air conditioner in the shutdown state is calculated based on the air conditioner operating temperature and the user comfort temperature range in the operating application parameters, as well as the outdoor temperature and temperature balance rate in the meteorological parameters. For example, assuming the indoor temperature is 26°C, the user comfort temperature range is 22°C to 24°C, the outdoor temperature is 30°C, and the temperature balance rate is 0.5°C / minute, then the time required for the indoor temperature to return to 22°C is the temperature balance time.

[0041] The target control mode is a temperature control mode or a shutdown control mode. The temperature control mode refers to adjusting the set temperature of the air conditioner to affect the power load, and the shutdown control mode refers to adjusting the power load by directly stopping the air conditioner.

[0042] In an exemplary application scenario, based on the comparison between the required control time and the temperature balance time, it can be determined whether the target control mode is the temperature control mode or the shutdown control mode. If the required control time is greater than the temperature balance time, the temperature control mode is selected; if the required control time is less than or equal to the temperature balance time, the shutdown control mode is selected. For example, assuming that the required control time is 30 minutes, and the temperature balance time of the air conditioner under the current environmental conditions is 15 minutes, the temperature control mode should be selected, because after 15 minutes of shutdown, the indoor temperature will automatically return to the user's comfort range, and no additional control measures need to be called.

[0043] Furthermore, after determining the control mode, the amount of power load adjustment that the air-conditioning equipment can respond to the grid demand is evaluated, that is, the target control potential of the air-conditioning equipment is determined. That is, in the temperature control mode, the air-conditioning can increase or decrease the power consumption; in the shutdown control mode, the air-conditioning can save the power consumption.

[0044] According to the target control mode, the control potential of the air conditioning equipment is calculated in combination with the operating application parameters and the grid control parameters. For example, if the temperature control mode is determined to be used, the power load that can be reduced by the air conditioner in a specific time period will be calculated based on the user comfort, the rated power of the air conditioner and the power change required for temperature adjustment.

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

[0046] In an embodiment of the present application, the operating application parameters, power grid control parameters and meteorological parameters corresponding to the air-conditioning equipment are obtained in the target response mode; based on the operating application parameters and meteorological parameters, the temperature balance time of the air-conditioning equipment is determined; using the temperature balance time 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; according to 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. As a result, the present application achieves the purpose of accurately evaluating the control potential of the air-conditioning equipment by considering the operating application parameters, power grid control parameters and meteorological parameters of the air-conditioning equipment, thereby achieving the technical effect of improving the evaluation accuracy of the control potential of the air-conditioning equipment, and further solving the technical problem of low accuracy in evaluating the control potential of the air-conditioning equipment in the related art.

[0047] The above method of the embodiment of the present application is further introduced below.

[0048] Optionally, in the above-mentioned method for evaluating the control potential of air-conditioning equipment, 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 equipment responds in real time to the real-time control requirements issued by the power grid operation end, and in the invitation response mode, the air-conditioning equipment selects to respond to the predicted control requirements issued by the power grid operation end according to 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 they are adapted to the air-conditioning equipment control needs under different conditions.

[0050] In real-time response mode, the grid operator can issue control requirements to the air-conditioning equipment in real time according to the current grid supply and demand conditions and emergencies (such as power shortages, 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 an exemplary application scenario, air conditioning equipment needs to have the ability to respond quickly, such as being able to quickly enter or exit energy-saving mode, adjust the set temperature, or start and stop directly according to the instructions of the power grid operation end in real-time response mode. For example, when the power grid needs to reduce the load during peak hours, it will send a signal to the connected air conditioning equipment, requiring the air conditioning equipment to increase the set temperature by a few degrees within the required scheduling time, thereby reducing power consumption.

[0052] The real-time response mode can quickly and flexibly respond to the immediate needs of the power grid, help 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 the use of air conditioners in a short period of time, there are usually immediate subsidies or incentives to encourage users to participate in grid regulation, thus balancing the relationship between user comfort and grid demand to a certain extent.

[0053] In the invitation response mode, the grid operator will send a forecasted regulation demand invitation to the air conditioning equipment in advance. Users can choose whether to accept the invitation and its specific regulation parameters based on their own usage needs and economic conditions. The invitation usually includes the start time, duration and corresponding subsidy standards of the demand response, allowing users more time to consider and prepare.

[0054] In an exemplary application scenario, users will receive notifications about possible future electricity demand response plans, which contain specific control response parameters, such as the adjusted temperature range, start and stop time, etc. Users can choose whether to respond and the degree of response based on these parameters and their own needs. For example, users may agree to increase the air conditioning temperature setting by 2°C on a specific date and time in exchange for a certain amount of financial compensation.

[0055] The invitation response mode provides users with greater autonomy, allowing them to participate in power demand response without affecting their comfort. This mode helps to improve user participation. Through pre-invitation and user selection, grid operators can more accurately predict and dispatch adjustable resources, reduce unnecessary control instructions, and thus achieve more economical and accurate power load management.

[0056] The embodiment of the present application can combine the real-time response mode and the invitation response mode into the regulation potential evaluation of the air-conditioning equipment, realize the dynamic and personalized air-conditioning regulation, and not only meet the grid's immediate response requirements to electricity demand, but also take into account the user's willingness to participate in the regulation and the characteristics of equipment use. This evaluation method under the dual regulation mode helps the power system to more efficiently explore and utilize the regulation potential of air-conditioning resources, while ensuring the user's comfort and economic benefits. This further promotes the widespread implementation and optimization of the power demand response mechanism and establishes a good interactive relationship between the power system and users.

[0057] Optionally, in the above-mentioned air-conditioning equipment's regulation potential assessment method, the operating application parameters include: a target temperature range, the air-conditioning operating power corresponding to the target response mode, and the air-conditioning operating temperature corresponding to the target response mode, wherein the target temperature range is a user comfort temperature range preset for the air-conditioning equipment; the power grid regulation parameters include: the required regulation time 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.

[0058] The above target temperature range is a comfortable temperature range set by the user, which is the indoor temperature range that the air conditioner is expected to maintain when it is running. For example, the user may set a comfortable target temperature range of 22°C to 24°C.

[0059] The air conditioner operating power corresponding to the target response mode refers to the actual operating efficiency of the air conditioner when it is operating normally in the real-time response mode or the invitation response mode. For example, in the real-time response mode, the air conditioner operating power refers to the real-time operating power; in the invitation response mode, the air conditioner operating power is the set operating power.

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

[0061] Operation and application parameters can be used as basic data for evaluating the regulation potential of air-conditioning equipment. Operation and application parameters reflect the basic properties of air-conditioning equipment and the personalized needs of users. During the evaluation process, operation and application parameters will be combined with meteorological parameters and grid regulation parameters to calculate the regulation potential of air-conditioning equipment under specific environments and grid requirements.

[0062] The required regulation duration refers to the duration that the grid operator requires the air conditioning equipment to participate in regulation based on the power supply and demand situation or a specific demand response plan. For example, during peak power hours, the grid may require the air conditioning equipment to reduce the power load in the next hour.

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

[0064] The grid control parameters can be used to determine the conditions and incentive mechanisms for grid control. The grid control parameters, together with the operation application parameters and meteorological parameters, determine the specific way and degree of air-conditioning equipment's participation in control.

[0065] Ambient temperature refers to the outdoor temperature of the environment in which the air-conditioning equipment is located. It is an important environmental factor that affects the operating efficiency and regulation 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 the outdoor temperature. The outdoor temperature can directly affect the operating status of the air-conditioning equipment and the determination of the temperature balance time in the regulation potential calculation.

[0067] The embodiment of the present application comprehensively considers the multi-dimensional information reflected by the above-mentioned operating application parameters, power grid control parameters and meteorological parameters, and can realize the precision and personalization of air-conditioning equipment control. During the evaluation process, the system can calculate the optimal control strategy of the air-conditioning equipment in the real-time response mode or the invitation response mode according to the comfort temperature range, ambient temperature, and specific conditions of the power demand response (such as the required control time and subsidy standard) set by the user, including the selection of temperature control and shutdown control, as well as the specific control potential (the amount of power load that can be increased or decreased). This method can not only help the power grid to efficiently manage power demand and avoid load pressure during peak power periods, but also take into account the user's comfort and economic benefits, and increase the user's enthusiasm for participating in power demand response. By introducing the consideration of user willingness and environmental factors, the embodiment of the present application realizes the deep mining of the potential for air-conditioning resource control, and establishes a more intelligent and coordinated interaction mode between the power system and users.

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

[0069] Step S221, in response to the ambient temperature being higher than the air conditioner operating temperature, the upward balancing time is calculated according to 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;

[0070] Step S222, in response to the ambient temperature being not higher than the air-conditioning operating temperature, the downward balancing time is calculated according to 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 shut down.

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

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

[0073] In an exemplary application scenario, a temperature balance 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, that is, the above-mentioned temperature balance time, is calculated.

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

[0075]

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

[0077] For example, assuming that the current air conditioner operating temperature is 20°C, the target temperature range set by the user is 22°C to 24°C, the ambient temperature is 26°C, and the target temperature balance rate (i.e., the natural reduction rate of the indoor and outdoor temperature difference per unit time) is known to be 0.5°C / minute. According to the above formula (1), after the air conditioner is shut down under the current conditions, the indoor temperature will naturally rise to the upper limit of the comfortable temperature range set by the user (i.e., 24°C) within 8 minutes.

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

[0079]

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

[0081] The embodiment of the present application can predict the temperature change trend of the air-conditioning equipment in the shutdown state according to the current ambient temperature and the comfortable temperature range set by the user by calculating the upward balancing time and the downward balancing time. This is one of the important bases for evaluating the air-conditioning regulation potential. In the power demand response, these duration data can help the power grid operator to formulate more accurate regulation strategies. For example, when the required regulation time exceeds the upward or downward balancing time, the temperature regulation mode is given priority, and when the required regulation time is shorter than the balancing time, the shutdown regulation mode is adopted. This method takes into account both the physical constraints of the equipment and the user's demand for comfort. Therefore, while ensuring the user's comfort, it realizes the efficient evaluation and utilization of the regulation potential of the air-conditioning equipment, which helps the power grid to manage power demand more accurately and economically, and promotes the improvement and application of the demand response mechanism.

[0082] Optionally, in the above step S203, the target control mode corresponding to the air-conditioning equipment is determined by using the temperature balance time and the power grid control parameter, and the following execution steps may also be included:

[0083] Step S231, in response to the required control time being greater than the upward balancing time and / or the required control time being greater than the downward balancing time, determining that the target control mode is the temperature control mode;

[0084] Step S232: in response to the required control time being less than or equal to the upward balancing time and / or the required control time being less than or equal to the downward balancing time, determining that the target control mode is the shutdown control mode.

[0085] The required regulation time refers to the duration that the power grid requires air-conditioning equipment to adjust its operating status to respond to the grid demand under the demand response mechanism.

[0086] In an exemplary application scenario, the system compares the required control time with the upward balancing time and / or the downward balancing time. Taking the upward balancing time as an example, if the required control time is greater than the upward balancing time, it means that even if the air conditioning equipment is shut down, the indoor temperature will naturally rise to exceed the upper limit of the comfortable temperature range set by the user before the end of the control time, so the temperature control mode is selected as the target control mode of the air conditioning equipment to control the power load by adjusting the temperature setting. Similarly, if the required control time is greater than the downward balancing time, the target control mode is also determined to be the temperature control mode.

[0087] For example, suppose the grid needs to perform one hour of load management (the required control time is 60 minutes), and according to the ambient temperature and the air conditioner operating status, the calculated upward balancing time is 30 minutes. This means that even if the air conditioner is turned off after 30 minutes, the indoor temperature will rise to exceed the upper limit of the comfortable temperature set by the user within one hour. Therefore, the temperature control mode is determined to be a better control strategy, and the system will guide the air conditioner to adjust to a certain temperature setting within the required control time to achieve the load management goal while ensuring that the user's comfort is not affected.

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

[0089] For example, if the required control time is 20 minutes and the upward balancing time is 30 minutes, it means that even if the air conditioner is shut down after 20 minutes, the indoor temperature will not rise to exceed the upper limit of the comfort temperature set by the user. Therefore, the shutdown control mode is determined, and the air conditioner will automatically shut down 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 of air-conditioning equipment is established that takes into account multi-dimensional information factors. The target control mode to be adopted by the air-conditioning equipment is determined based on the indoor and outdoor temperature difference and the temperature balance time, and then the corresponding target control potential is calculated.

[0091] In one case, the ambient temperature Greater than the air conditioner operating temperature Time required for adjustment T deal Greater than upward equilibrium time T balance+ , determine the target control mode is temperature control mode. Or, the ambient temperature Lower than the air conditioner operating temperature Time required for adjustment T deal Greater than downward balance time T balance- , determine that the target control mode is temperature control mode.

[0092] In another case, the ambient temperature Greater than the air conditioner operating temperature Time required for adjustment T deal Less than the upward equilibrium time T balance+ , determine the target control mode is shutdown control mode. Or, the ambient temperature Lower than the air conditioner operating temperature Time required for adjustment T dealLess than downward balance time T balance- , determine the target control mode as the shutdown control mode.

[0093] Through steps S231 and S232, the embodiment of the present application can intelligently select the temperature control mode or the shutdown control mode according to the relationship between the required control time and the temperature balance time, so as to achieve accurate management of the power load. This method not only takes into account the physical characteristics of the equipment, but also takes into account the user's demand for comfort, ensuring the efficiency of the power demand response mechanism and the comfort of user participation. For the grid operator, this method helps to more accurately predict and control the power load and improve the stability and reliability of the power system; for the user, it ensures that the comfort of the indoor environment can be maintained when participating in the demand response, and increases the enthusiasm of the user to participate in the grid regulation. In addition, by intelligently selecting the control mode, the embodiment of the present application also promotes the rational use of energy and helps to build a more intelligent and efficient power demand response and new load management system.

[0094] Optionally, in the above step S204, the target control potential of the air-conditioning equipment is evaluated according to the target control mode, the operating application parameters and the power grid control parameters, and the following execution steps may also be included:

[0095] Step S241, determining the initial control potential of the air conditioning equipment according to the target control mode and the operation application parameters;

[0096] Step S242, using the operation application parameters and the 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 preliminarily calculated based on the current operating application parameters to obtain the above initial control potential. For the temperature control mode, the initial control potential may involve the increase or decrease in the power load required to adjust the set temperature; for the shutdown control mode, the initial control potential is mainly reflected in 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 the temperature control mode, the current set temperature of the air conditioner is 25°C, and the user comfort range is 22°C to 26°C. If the grid demand response requires a reduction in the power load within the next hour, based on the rated power of the air conditioner and the impact of temperature regulation on the power load, the system preliminarily calculates the amount of power load that can be reduced within 1 hour by raising the set temperature of the air conditioner to 26°C, thereby obtaining the initial control potential of the air conditioning equipment.

[0099] In the exemplary application scenario, after the initial regulation potential of the air conditioning equipment is preliminarily evaluated, the initial regulation potential is further modified by considering the influence of the grid regulation parameters to ensure that the regulation is economically feasible while meeting constraints such as user comfort. This may involve adjusting the size of the regulation potential based on factors such as user benefit sensitivity and demand response subsidy standards.

[0100] Still taking the above summer afternoon scenario as an example, the initial control potential calculated preliminarily is the amount of electricity load saved by raising the set temperature within 1 hour. However, in order to ensure that this control measure is economically feasible for users, the demand response subsidy standard and user benefit sensitivity are combined for calculation. If the subsidy standard is not enough to cover the cost of reduced comfort that users may suffer due to raising the set temperature, or the user's benefit sensitivity is high, then the calculated target control potential may need to be adjusted to reflect the amount of control that users are more willing to accept.

[0101] Through steps S241 and S242, the embodiment of the present application can comprehensively evaluate and correct the control potential of the air-conditioning equipment according to the target control mode, operating application parameters and grid control parameters, to ensure that it meets the demand response goals of the grid and takes into account the comfort and economic benefits of the user. This method not only improves the accuracy and efficiency of power demand response, but also enhances the enthusiasm of users to participate in grid control, promotes the stability of the power system and user satisfaction, and is an important technical support for building smart grids and realizing green energy transformation. Through intelligent evaluation and correction of control potential, the present invention helps to use air-conditioning equipment resources more scientifically and humanely when electricity supply and demand are tight, and provides a powerful technical means for the practice of power demand response mechanism.

[0102] Optionally, the initial regulation potential includes an initial upward regulation potential and an initial downward regulation potential; in the above step S241, when the target regulation mode is the temperature regulation mode, determining the initial regulation potential of the air-conditioning device according to the target regulation mode and the operating application parameters may also include the following execution steps:

[0103] Step S2411, calculating the initial upward adjustment potential of the air-conditioning device according to the air-conditioning operating temperature, the lower limit temperature and the target power change rate corresponding to the air-conditioning device, wherein the target power change rate is used to characterize the change in operating power when the air-conditioning device adjusts a unit temperature;

[0104] Step S2412, calculating the initial down-regulation potential of the air conditioning equipment according to the air conditioning operating temperature, the upper limit temperature and the target power change rate.

[0105] The above-mentioned initial upward adjustment potential refers to the ability of the air-conditioning equipment to increase the power load by adjusting the set temperature (usually increasing the set temperature) when the power grid needs to increase the power load. The air-conditioning operating temperature refers to the indoor temperature currently set by the air-conditioning equipment. The lower limit temperature refers to the lower limit of the comfortable temperature range set by the user. When the temperature is lower than this, the user will feel too cold. The target power change rate is used to characterize the change in the operating power of the air-conditioning equipment when adjusting the unit temperature, that is, the change in the 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 equipment adjusts its set temperature to the lower limit of the user's comfort temperature range (i.e., the lower limit temperature) at the current operating temperature.

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

[0108]

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

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

[0111] Initial down-regulation 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 grid needs to reduce power load. The upper limit temperature refers to the upper limit of the comfort temperature range set by the user. When the temperature is higher than this, the user will feel overheated.

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

[0113] In temperature control mode, the initial downward adjustment potential The calculation method of can be shown as the following formula (4).

[0114]

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

[0116] Through steps S2411 and S2412, the embodiment of the present application can accurately calculate the initial upward adjustment potential and the initial downward adjustment potential based on the current operating state of the air-conditioning equipment, the comfortable temperature range set by the user, and the target power change rate. These potential assessments provide the power grid with quantitative indicators of the responsiveness of air-conditioning equipment, which helps the power grid operator to more accurately plan the power demand response strategy and ensure the stable operation of the power system. At the same time, taking into account the important external factor of user comfort, the method of the present invention achieves effective management and regulation of power loads while ensuring user comfort, improves the feasibility of regulation and user participation, and provides strong technical support for building smart grids and promoting green energy transformation. In addition, this accurate potential assessment method can also promote the efficient use of air-conditioning equipment, reduce unnecessary electricity consumption, and has positive significance for energy conservation, emission reduction, and environmental protection.

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

[0118] Step S2413, calculating the upward adjustment potential of the air conditioning equipment according to the air conditioning operating temperature, the lower limit temperature and the target power change rate;

[0119] Step S2414, determining the down-regulation potential of the air conditioning equipment according to the air conditioning operating power.

[0120] In the shutdown control mode, the initial upward adjustment potential is not related to temperature, because it involves the ability of the air conditioning equipment to directly shut down within the required control time, thereby reducing power consumption. However, since the shutdown of the air conditioning equipment may cause the indoor temperature to rise, there is a risk of exceeding the upper limit of the comfortable temperature range set by the user. Therefore, when calculating the initial upward adjustment potential, the time during the shutdown time when the indoor temperature rises to the upper limit of the comfortable temperature range, the air conditioning equipment can continue to shut down. This time is the basis for evaluating the initial upward adjustment potential.

[0121] In shutdown control mode, the initial upward adjustment potential The calculation method of can be shown as the following formula (5).

[0122]

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

[0124] The calculation of the initial down-regulation potential is based on the operating power of the air conditioner during the required regulation period. In the shutdown regulation mode, the initial down-regulation potential can be directly equal to the total power consumption that can be saved by the air conditioner during the required regulation period, which is usually achieved by calculating the product of the required regulation period and the air conditioner operating power.

[0125] In shutdown regulation mode, the initial downward adjustment potential The calculation method of can be shown as the following formula (6).

[0126]

[0127] In the above formula (6), It represents the operating power of the air conditioner at time t in the real-time response mode (that is, the real-time operating power).

[0128] For example, the current air conditioner operating power is 1.5kW, and the grid requires a regulation time of 30 minutes. The initial downregulation potential is calculated according to the above formula (6): It is 0.75kWh, which means that if the air-conditioning equipment is shut down within 30 minutes, 0.75kWh of electricity consumption can be saved, that is, a reduction potential of 0.75kWh is achieved.

[0129] Through steps S2413 and S2414, the embodiment of the present application provides the power grid with a quantitative assessment of the ability of air-conditioning equipment to save electricity consumption in the shutdown control mode. These evaluation results help the power grid to plan power demand response strategies more accurately, ensuring that the power system can effectively reduce unnecessary power consumption within the required control period, while taking into account the key factor of user comfort. Compared with the temperature control mode, the calculation of the upward and downward potentials in 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, which helps to more efficiently utilize air-conditioning equipment resources when power supply and demand are tight, and achieve dynamic balance of power load, thereby improving the stability and efficiency of the power system, while ensuring user satisfaction, and promoting the practicality and intelligence of the power demand response mechanism.

[0130] Optionally, in the above step S242, the initial regulation potential is corrected by using the operation application parameters and the grid regulation parameters to obtain the target regulation potential, and the following execution steps may also be included:

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

[0132] Step S2422, calculating the original electricity cost corresponding to the air conditioning equipment according to the real-time electricity price, the air conditioning operating power and the required control time;

[0133] Step S2423, calculating the predicted reduction in electricity cost based on the real-time electricity price, the required regulation time, the initial regulation potential, and the demand response subsidy standard;

[0134] Step S2424, determining a 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;

[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, wherein the second control participation willingness factor is used to characterize the subjective intention of the user of the air-conditioning equipment on whether to respond to the control demand.

[0136] The above real-time electricity price refers to the electricity price that the power grid dynamically adjusts according to supply and demand, reflecting the true cost of electricity at a certain moment. Obtaining the real-time electricity price at the current moment from the power grid is crucial for subsequent calculation of electricity costs and evaluation of the cost-effectiveness of regulation potential.

[0137] The original electricity cost is the electricity cost corresponding to the power consumption of the air conditioner without any regulation. The original electricity cost is calculated by the real-time electricity price, the current air conditioner operating power and the required regulation time. In the exemplary application scenario, the original electricity cost C AC,0 The calculation method of is shown in the following formula (7).

[0138]

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

[0140] For example, assuming that the current real-time electricity price is 0.8 yuan / kWh. If the air conditioner operating power is 1.5 kW, the required control time is 1 hour, and the real-time electricity price is 0.8 yuan / kWh, then the original electricity cost C is calculated according to the above formula (7): AC,0 This means that if no regulation is performed, the air conditioning equipment will consume 1.2 yuan of electricity during the time required for regulation.

[0141] The demand response subsidy standard refers to the subsidy policy set by the power grid to encourage users to participate in demand response. Users can reduce their electricity bills through response regulation. In the real-time response mode, the demand response subsidy standard is the real-time response subsidy standard, and in the invitation response mode, the demand response subsidy standard is the invitation response subsidy standard. Based on the real-time electricity price, the required regulation time, the initial regulation potential, and the demand response subsidy standard, the amount of electricity that air-conditioning equipment can save by participating in regulation is predicted.

[0142] In an exemplary application scenario, the predicted reduction in electricity cost includes C AC,up and C AC,down , C AC,up The estimated electricity cost reduction of air conditioning equipment participating in the upward demand response is C AC,down Indicates that the participation of air-conditioning equipment in the downward demand response is expected to reduce electricity costs. Correspondingly, taking the real-time response mode as an example, the real-time response subsidy standard includes the upward subsidy standard c DR,up (i.e. the subsidy standard for air conditioning equipment to respond to load increase demand in real time) and the subsidy standard for reduction c DR,down (That is, the subsidy standard when the air conditioning equipment responds to the load reduction demand in real time.) Based on this, the calculation method of the predicted reduction in electricity cost is shown in the following formula (8) and formula (9).

[0143]

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

[0145] The user benefit sensitivity coefficient refers to the user's sensitivity to saving electricity bills by responding to regulation. The higher the coefficient, the more inclined the user is to participate in regulation. In the embodiment of the present application, the degree to which the user is 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 adjustment participation willingness factor It refers to the user's willingness factor to participate in regulation considering economic benefits. 1 means willingness to participate in load increase. -1 indicates willingness to participate in load reduction. When it is 0, it means unwilling to participate in regulation. The first regulation participation willingness factor The calculation method of can be as follows: hour, Take 1; when hour, Take -1; otherwise, Take 0.

[0147] The above ρ represents the user benefit sensitivity coefficient. The user benefit sensitivity coefficient is used to characterize the proportion of electricity cost reduction expected by regulation exceeding the original electricity cost, which is usually obtained in advance (for example, determined through user questionnaire survey).

[0148] The second regulation participation willingness factor refers to the user's subjective willingness to respond to regulation based on factors such as their own comfort level and habits, and is usually provided directly by the user (for example, determined through a user questionnaire).

[0149] In an exemplary application scenario, when a user is willing to participate in load regulation based on his or her own comfort, habits, etc., the second regulation participation willingness factor Take 1; when users are unwilling to participate in load regulation based on their own comfort, habits, etc., the second regulation participation willingness factor Take 0.

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

[0151] In an exemplary application scenario, the target regulation potential includes the target upregulation potential and target downgrade potential The target regulation potential is calculated as shown in the following formula (10) and formula (11).

[0152]

[0153] For example, the second moderating factor of participation willingness =0.8 (users are subjectively willing to participate in 80% of the regulation), the initial regulation potential is 0.75 kWh, the first regulation participation willingness factor is 0.375 (users are willing to participate in 37.5% of the regulation considering economic benefits), and the target regulation potential calculated according to the above formulas (10) and (11) is 0.28125 kWh. This means that after taking into account the economic benefits and subjective willingness of users, the actual regulation potential of the air-conditioning equipment will be corrected to 0.28125 kWh, ensuring that the regulation strategy is both economical and user-friendly.

[0154] Through steps S2421 to S2425, the embodiment of the present application can quantitatively evaluate the cost-effectiveness of air-conditioning equipment participating in power demand response, determine the user's willingness to participate in regulation, and modify the regulation potential accordingly, and finally obtain a target regulation potential that is in line with the user's economic interests and can effectively respond to the power grid regulation needs. This method not only improves the accuracy and efficiency of power demand response, but also enhances the enthusiasm of user participation, achieving a win-win situation for power grid operation and user interests. At the same time, by considering the user's subjective wishes, it avoids forcing users to accept regulation beyond the comfort range, ensures user satisfaction, and promotes the sustainable development of the power demand response mechanism.

[0155] The embodiment of the present application proposes a method for evaluating the potential of air conditioning control, which cleverly integrates the dual modes of temperature control and start-stop control, and provides a more comprehensive and flexible evaluation perspective for the control of air conditioning equipment under the power demand response mechanism. Through in-depth analysis of multi-dimensional data including user comfort, external ambient temperature, air conditioning rated power, target temperature range, operating habits and meteorological information, the embodiment of the present application can accurately calculate the potential control capacity of air conditioning equipment under different control modes, avoiding the high computational complexity brought by traditional optimization solution strategies, greatly simplifying the evaluation process, and significantly improving the real-time and practicality of the evaluation.

[0156] The embodiments of the present application bring multiple beneficial effects. First, the user participation is significantly improved. Since the user's comfort and regulation willingness are fully considered, the user can actively respond to the power demand without sacrificing the indoor comfortable environment, which provides a solid theoretical basis for building a user-friendly demand response mechanism. Secondly, the enhancement of regulation accuracy greatly improves the efficiency and stability of power dispatching. By accurately evaluating the air conditioning regulation potential of different users, the power grid can achieve more accurate load forecasting and dynamic balance. Furthermore, the improvement of computing efficiency and the feasibility of the method reduce the application cost, create conditions for the large-scale promotion of this method, and effectively promote the optimal allocation of power resources. More importantly, when the supply and demand of electricity are tight, the embodiments of the present application can mobilize air conditioning resources to participate in the power demand response, which not only helps to build an intelligent and efficient power demand response system, but also supports the transformation of the power system to green and sustainable energy. By flexibly responding to power demand, balancing the fluctuations of renewable energy, and reducing dependence on fossil energy, it has contributed to environmental protection and sustainable energy development.

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

[0158] In this embodiment, a control potential evaluation device for air conditioning equipment is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, a "module" is a combination of software and / or hardware that can implement a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

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

[0160] Optionally, in the above-mentioned air-conditioning equipment's regulation potential assessment device, 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 equipment responds in real time to the real-time regulation demand issued by the power grid operation end, and in the invitation response mode, the air-conditioning equipment selects to respond to the predicted regulation demand issued by the power grid operation end according to pre-set regulation response parameters.

[0161] Optionally, in the control potential assessment device for the above-mentioned air-conditioning equipment, the operating application parameters include: a target temperature range, an air-conditioning operating power corresponding to a target response mode, and an air-conditioning operating temperature corresponding to a target response mode, wherein the target temperature range is a user comfort temperature range preset for the air-conditioning equipment; the power grid control parameters include: the required control time 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.

[0162] Optionally, the temperature balance time includes an upward balance time and a downward balance time; the above-mentioned first determination module 302 is also used for: in response to the ambient temperature being higher than the air-conditioning operating temperature, according to the air-conditioning operating temperature, the upper limit temperature of the target temperature range and the target temperature balance rate, calculating the upward balance time, wherein the upward balance 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 shut down; in response to the ambient temperature not being higher than the air-conditioning operating temperature, according to the air-conditioning operating temperature, the lower limit temperature of the target temperature range and the target temperature balance rate, calculating the downward balance time, wherein the downward balance 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 shut down.

[0163] Optionally, the second determination module 303 is also used to: determine that the target control mode is the temperature control mode in response to the required control time being greater than the upward balancing time and / or the required control time being greater than the downward balancing time; determine that the target control mode is the shutdown control mode in response to the required control time being less than or equal to the upward balancing time and / or the required control time being less than or equal to the downward balancing time.

[0164] Optionally, the evaluation module 304 is further used to: determine the initial control potential of the air-conditioning equipment according to the target control mode and the operating application parameters; and modify the initial control potential using the operating application parameters and the grid control parameters to obtain the target control potential.

[0165] Optionally, the initial regulation potential includes an initial upward regulation potential and an initial downward regulation potential; the above-mentioned evaluation module 304 is also used for: when the target regulation mode is the temperature regulation mode, the initial upward regulation potential of the air-conditioning equipment is calculated according to 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 when the air-conditioning equipment adjusts the unit temperature; the initial downward regulation potential of the air-conditioning equipment is calculated according to the air-conditioning operating temperature, the upper limit temperature and the target power change rate.

[0166] Optionally, the above-mentioned evaluation module 304 is also used for: when the target control mode is the shutdown control mode, calculating the upward adjustment potential of the air-conditioning equipment according to the air-conditioning operating temperature, the lower limit temperature and the target power change rate; and determining the downward adjustment potential of the air-conditioning equipment according to the air-conditioning operating power.

[0167] Optionally, the above-mentioned evaluation module 304 is also used to: obtain the real-time electricity price corresponding to the air-conditioning equipment; calculate the original electricity cost corresponding to the air-conditioning equipment according to the real-time electricity price, the air-conditioning operating power and the required control time; calculate the predicted reduction in electricity cost according to the real-time electricity price, the required control time, 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; use the first control participation willingness factor and the preset second control participation willingness factor to correct the initial control potential to obtain the target control potential, wherein the second control participation willingness factor is used to characterize the subjective intention of the user of the air-conditioning equipment as to whether 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, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0169] According to another aspect of the embodiment of the present application, a computer-readable storage medium is also provided, the storage medium including a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute any of the aforementioned control potential assessment methods for air-conditioning equipment.

[0170] Optionally, in this embodiment, the above-mentioned storage medium can be configured to store a computer program for executing the following steps: obtaining 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 time 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 time 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 above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0172] According to another aspect of an embodiment of the present application, a control potential assessment system for air-conditioning equipment is also provided, comprising a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute any one of the aforementioned control potential assessment methods for air-conditioning equipment.

[0173] Optionally, in this embodiment, the above-mentioned processor can be configured to perform the following steps through a computer program: obtaining 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 time of the air-conditioning equipment based on the operating application parameters and meteorological parameters; using the temperature balance time and power grid control parameters, determining the target control mode corresponding to the air-conditioning equipment, 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 according to the target control mode, operating application parameters and power grid control parameters.

[0174] According to another aspect of the embodiment of the present application, a computer program product is also provided. Optionally, in this embodiment, the computer program product may include a computer program, and when the computer program is executed by a processor, the control potential evaluation method of any of the above-mentioned air-conditioning equipment is implemented.

[0175] Optionally, the computer program product may include a non-volatile computer-readable storage medium, which may be used to store a computer program. When the computer program is executed by a processor, any of the aforementioned methods for evaluating the control potential of air-conditioning equipment is implemented.

[0176] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiment and its optional implementation manners, which will not be described in detail here.

[0177] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0178] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description 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. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

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

[0181] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0182] If the integrated unit is implemented in the form of 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 the present application can essentially or in other words contribute to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, ROM, RAM, mobile hard disks, magnetic disks or optical disks.

[0183] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for evaluating the regulation potential of air conditioning equipment, characterized in that: include: Obtain the operating application parameters, power grid control parameters and meteorological parameters corresponding to the air-conditioning equipment in the target response mode; Determining a temperature balance time of the air conditioning equipment based on the operation application parameter and the meteorological parameter; Determine a target control mode corresponding to the air-conditioning device by using the temperature balance time and the power grid control parameter, wherein the target control mode is a temperature control mode or a shutdown control mode; The target control potential of the air-conditioning equipment is evaluated and obtained according to the target control mode, the operation application parameters and the power grid control parameters.

2. The method for evaluating the control potential of air conditioning equipment according to claim 1, characterized in that: 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 equipment responds in real time to the real-time control requirements issued by the power grid operation end, and in the invitation response mode, the air-conditioning equipment selects to respond to the predicted control requirements issued by the power grid operation end according to pre-set control response parameters.

3. The method for evaluating the control potential of air conditioning equipment according to claim 2, characterized in that: The operation application parameters include: a target temperature range, 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 range is a user comfort temperature range preset for the air-conditioning device; The grid control parameters include: the required 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.

4. The method for evaluating the control potential of air conditioning equipment according to claim 3, characterized in that: The temperature balance time includes an upward balance time and a downward balance time; Determining the temperature balance time of the air conditioning equipment based on the operation application parameter and the meteorological parameter includes: In response to the ambient temperature being higher than the air conditioner operating temperature, the upward balancing time is calculated according to 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 shut down; In response to the ambient temperature being not higher than the air-conditioning operating temperature, the downward balancing time is calculated according to 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 shut down.

5. The method for evaluating the control potential of air conditioning equipment according to claim 4, characterized in that: Determining the target control mode corresponding to the air-conditioning equipment by using the temperature balance time and the power grid control parameter includes: In response to the required control time being greater than the upward balancing time and / or the required control time being greater than the downward balancing time, determining that the target control mode is the temperature control mode; In response to the required control time being less than or equal to the upward balancing time and / or the required control time being less than or equal to the downward balancing time, the target control mode is determined to be the shutdown control mode.

6. The method for evaluating the control potential of air conditioning equipment according to claim 4, characterized in that: According to the target control mode, the operation application parameters and the grid control parameters, evaluating the target control potential of the air-conditioning equipment includes: Determining the initial control potential of the air conditioning equipment according to the target control mode and the operation application parameters; The initial regulation potential is corrected using the operation application parameters and the power grid regulation parameters to obtain the target regulation potential.

7. The method for evaluating the control potential of air conditioning equipment according to claim 6, characterized in that: The initial regulation potential includes initial up-regulation potential and initial down-regulation potential; When the target control mode is the temperature control mode, determining the initial control potential of the air-conditioning equipment according to the target control mode and the operation application parameter includes: The initial upward adjustment potential of the air-conditioning device is calculated according to the air-conditioning operating temperature, the lower limit temperature and the target power change rate corresponding to the air-conditioning device, wherein the target power change rate is used to characterize the change in operating power of the air-conditioning device when adjusting a unit temperature; The initial down-regulation potential of the air-conditioning equipment is calculated according to the air-conditioning operating temperature, the upper limit temperature and the target power change rate.

8. The method for evaluating the control potential of air conditioning equipment according to claim 7, characterized in that: When the target control mode is the shutdown control mode, determining the initial control potential of the air-conditioning equipment according to the target control mode and the operation application parameter includes: Calculating the upward adjustment potential of the air conditioning equipment according to the air conditioning operating temperature, the lower limit temperature and the target power change rate; According to the air-conditioning operating power, a down-regulation potential of the air-conditioning equipment is determined.

9. The method for evaluating the control potential of air conditioning equipment according to claim 6, characterized in that: Using the operation application parameters and the power grid control parameters, the initial control potential is corrected to obtain the target control potential, including: Obtaining the real-time electricity price corresponding to the air-conditioning equipment; Calculate the original electricity cost corresponding to the air conditioning equipment according to the real-time electricity price, the air conditioning operating power and the required control time; Calculate the predicted reduction in electricity cost according to the real-time electricity price, the required regulation time, the initial regulation potential and the demand response subsidy standard; Determining a 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; The initial regulation potential is corrected using the first regulation participation willingness factor and the preset second regulation participation willingness factor to obtain the target regulation potential, wherein the second regulation participation willingness factor is used to characterize the subjective intention of the user of the air-conditioning equipment on whether to respond to the regulation demand.

10. A control potential evaluation system for air conditioning equipment, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the control potential assessment method for the air-conditioning equipment according to any one of claims 1 to 9.

Images