Method and system for estimating demand response capability of an intermittently temperature-regulated air-conditioned room

Abstract

The present application belongs to the technical field of power grid demand response capability estimation, and provides a demand response capability estimation method and system for an intermittent temperature-regulated air-conditioned room. In the method, the current indoor temperature and outdoor temperature are obtained as the current ambient temperature; a dynamic model most similar to the current ambient temperature is found from a pre-constructed dynamic model library; and the demand response capability of the air conditioner under the current ambient conditions and the intermittent temperature-regulated space is calculated based on the known conditions and the found dynamic model. The dynamic model in the dynamic model library is a relationship between the indoor temperature and the power consumption of the air conditioner. The demand response capability of the air-conditioned room under the current indoor and outdoor temperature conditions is calculated according to the selected dynamic model, solving the problem of estimating the demand response capability of the air-conditioned room in a general sense. The method is simple to operate and accurate in results, and has important practical significance for ensuring the smooth operation of the power grid under the background of large-scale grid connection of new energy power generation.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of power grid demand response capability estimation, and particularly relates to a demand response capability estimation method and system for an intermittent temperature-regulated air-conditioned room. BACKGROUND

[0002] The statements in this section merely provide background information related to the present application and do not necessarily constitute the prior art.

[0003] In the current power grid load, the demand response capability of intermittent electric loads such as air conditioners is of great significance to the smooth operation of the power grid. The demand response capability of an air-conditioned room is the air-conditioning load that can be reduced under the same environmental conditions. At present, the summer air-conditioning load of some provincial power grids has accounted for more than 40% of the maximum power load, and the air-conditioning load volume is already very large. In addition, the wall and other heat storage media in the air-conditioned room have thermal inertia, and the user's comfort experience will not be significantly affected when such intermittent loads are adjusted in a short time. Therefore, it is of great significance to fully utilize the demand response capability of intermittent electric loads such as air conditioners for the smooth operation of the power grid.

[0004] Existing methods for estimating the demand response capability of air-conditioned rooms are mostly oriented towards large central air conditioners, and there is a lack of methods for estimating the demand response capability of single variable-frequency air-conditioned rooms that are scattered and widely distributed. The inventors have found that existing methods only analyze a certain specific building space and do not fully consider the measurement accuracy and feasibility of various physical parameters of the room, resulting in a lack of universality of these methods. SUMMARY

[0005] To solve at least one of the technical problems in the background art, the present application provides a demand response capability estimation method and system for an intermittent temperature-regulated air-conditioned room, which is based on the long-term operation data of the intermittent temperature-regulated air-conditioned room and the corresponding indoor and outdoor temperature data. First, a dynamic relationship model between the room steady-state temperature and the air-conditioning steady-state power under different indoor and outdoor temperature conditions is established to form a dynamic model library. Second, the current indoor and outdoor temperature values are used as references to find the closest dynamic model in the dynamic model library. Finally, the demand response capability of the air-conditioned room under the current indoor and outdoor temperature conditions is calculated according to the selected dynamic model. The present application has the advantages of strong applicability and the like, and has a positive practical significance for the power grid to grasp the demand response capability of air-conditioning flexible load and ensure the smooth operation of the power grid.

[0006] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0007] The first aspect of the present application provides a demand response capability estimation method for an intermittent temperature-regulated air-conditioned room.

[0008] A method for estimating the demand response capability of an intermittently temperature-regulated air-conditioned room, comprising:

[0009] obtaining a current indoor temperature and a current outdoor temperature as a current ambient temperature;

[0010] finding a dynamic model most similar to the current ambient temperature from a pre-constructed dynamic model library;

[0011] calculating the sleep time of the air conditioner and the demand response capability of the intermittently temperature-regulated space under the current ambient temperature based on the known conditions and the found dynamic model;

[0012] wherein the dynamic model in the dynamic model library is a relationship between the indoor temperature and the power consumption of the air conditioner.

[0013] In the present application, the sleep time of the air conditioner and the demand response capability of the intermittently temperature-regulated air-conditioned room are: adjusting the set value of the air conditioner to make the air conditioner enter a sleep period, so that the power consumption of the air conditioner is reduced, and the reduction value of the power consumption exceeds a preset amplitude threshold; the demand response capability of the intermittently temperature-regulated space is defined as the reduced air conditioner load power consumption under the same ambient conditions.

[0014] As an implementation manner, the input quantity of the dynamic model is the power of the air conditioner, and the output quantity is the change of the indoor temperature.

[0015] As an implementation manner, the dynamic model is a first-order inertial delay model, and the construction process is: an ARX model is used to establish a dynamic model between the input and output data, and the established ARX model is reduced to obtain the first-order inertial delay model.

[0016] As an implementation manner, the dynamic model most similar to the current ambient temperature is found from the pre-constructed dynamic model library according to the shortest Euclidean distance criterion.

[0017] As an implementation manner, the construction process of the dynamic model library is:

[0018] Based on different indoor temperature historical data segments and outdoor temperature historical data segments, the power of the air conditioner is taken as the input quantity, and the change of the indoor temperature is taken as the output quantity, to obtain a series of dynamic models of intermittently temperature-regulated air-conditioned rooms.

[0019] The second aspect of the present application provides a demand response capability estimation system based on intermittently temperature-regulated demand response capability.

[0020] A demand response capability estimation system based on intermittently temperature-regulated demand response capability, comprising:

[0021] a current ambient temperature acquisition module for obtaining a current indoor temperature and a current outdoor temperature as a current ambient temperature;

[0022] a most similar dynamic model searching module, configured to search a dynamic model most similar to the current ambient temperature from a pre-constructed dynamic model library;

[0023] a demand response capability calculating module, configured to calculate the demand response capability of the air conditioner in the current environment based on the known conditions and the searched dynamic model.

[0024] The dynamic model in the dynamic model library is a relationship between indoor temperature and power consumption of the air conditioner.

[0025] As an embodiment, the input of the dynamic model is the power consumption of the air conditioner, and the output is the change of the indoor temperature.

[0026] As an embodiment, the dynamic model is a first-order inertia delay model, and the construction process is as follows: an ARX model is used to establish the dynamic model between the input and output data, and the established ARX model is reduced to obtain the first-order inertia delay model.

[0027] As an embodiment, the dynamic model most similar to the current ambient temperature is searched from the pre-constructed dynamic model library according to the shortest Euclidean distance criterion.

[0028] As an embodiment, the construction process of the dynamic model library is as follows:

[0029] Based on different indoor temperature historical data segments and outdoor temperature historical data segments, a series of dynamic models of the air conditioner room with intermittent temperature regulation are obtained with the power consumption of the air conditioner as the input and the change of the indoor temperature as the output.

[0030] The third aspect of the present application provides a computer readable storage medium.

[0031] A computer readable storage medium, which stores a computer program, the program being executed by a processor to implement the steps in the demand response capability estimation method and system of the air conditioner room with intermittent temperature regulation.

[0032] The fourth aspect of the present application provides an electronic device.

[0033] An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps in the demand response capability estimation method and system of the air conditioner room with intermittent temperature regulation when executing the program.

[0034] Compared with the prior art, the present application has the following beneficial effects:

[0035] The present application takes indoor temperature and outdoor temperature data as reference, establishes a dynamic model of air conditioner power and indoor temperature under different indoor and outdoor temperature conditions, forms a model library, takes the current indoor temperature and outdoor temperature value as reference, finds the closest dynamic model in the dynamic model library, and finally calculates the air conditioner room demand response capability under the current indoor and outdoor temperature conditions according to the selected dynamic model, solves the problem of air conditioner room demand response capability estimation in a general sense, and makes the calculation process no longer depend on the physical parameters difficult to accurately detect in the building, improves the applicability of the air conditioner room demand response capability estimation method, and has important significance for the power grid to use the air conditioner room demand response capability to cut peak and fill valley and stabilize operation.

[0036] Advantages of the additional aspects of the present application will be given in part in the following description, some will become apparent from the following description, or will be learned by practice of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0037] The drawings accompanying the specification of the present application use to provide further understanding of the present application, the illustrative embodiments of the present application and the description thereof are used to explain the present application, and do not constitute improper limitation on the present application.

[0038] Figure 1 is the definition diagram of intermittent temperature regulation air conditioner room participating in power grid demand response capability;

[0039] Figure 2 is the flow chart of intermittent temperature regulation air conditioner room demand response capability estimation method;

[0040] Figure 3 is the overall architecture diagram of intermittent temperature regulation air conditioner room demand response capability estimation system;

[0041] Figure 4 is the running data diagram of intermittent temperature regulation air conditioner room in implementation. DETAILED DESCRIPTION

[0042] The present application will be further described below in combination with the drawings and embodiments.

[0043] It should be pointed out that the following detailed description is all exemplary, and is intended to provide further description of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as generally understood by those skilled in the art to which the present application belongs.

[0044] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0045] In this invention, the air conditioner's sleep time and intermittent temperature regulation air-conditioned room demand response capability are defined as follows: adjusting the air conditioner's set value to allow the air conditioner to enter a sleep period, thereby reducing the air conditioner's power consumption, wherein the power consumption reduction exceeds a preset threshold value; the intermittent temperature regulation space demand response capability is defined as the reduction in air conditioner load power consumption under the same environmental conditions.

[0046] Example 1

[0047] Figure 1 This is a flowchart of the method for estimating the demand response capability of an intermittently temperature-controlled air-conditioned room. The electrical power of the air conditioner will be denoted as... The room temperature is recorded as , Figure 1 middle This refers to the electrical power consumption during the air conditioner's sleep mode. This refers to the air conditioner's sleep mode duration. The method described in this embodiment will be explained in detail.

[0048] like Figure 2 As shown in this embodiment, the method and system for estimating the demand response capability of an intermittently temperature-controlled air-conditioned room specifically includes the following steps:

[0049] Step 1: Obtain the current indoor and outdoor temperatures as the current ambient temperature.

[0050] In the specific implementation process, the current indoor and outdoor temperatures can be obtained using pre-deployed temperature acquisition modules, such as... Figure 3 The temperature acquisition module shown.

[0051] Step 2: Find the dynamic model that is most similar to the current ambient temperature from the pre-built dynamic model library.

[0052] Among them, the dynamic model in the dynamic model library is the relationship between indoor temperature and air conditioning power consumption.

[0053] In this embodiment, the input of the dynamic model is the air conditioning power, and the output is the change in indoor temperature.

[0054] The dynamic model is a first-order inertia delay model, and the process is as follows: a dynamic model between input and output data is established by using an ARX model, and the established ARX model is reduced to obtain. That is, an autoregressive exogenous (ARX) model is used to establish a dynamic model of air conditioner power and indoor temperature in the least square sense, and the ARX model is reduced to obtain a first-order inertia delay model of the intermittent temperature regulation air conditioner room system.

[0055] Specifically, the outdoor, indoor temperature, air conditioner power and the like are collected by using a pre-deployed sensor, and the data is transmitted to a system data storage module in a Bluetooth communication mode. Among them, as shown in the figure, Figure 3 The temperature collection module is used to collect the outdoor and indoor temperatures, and the electric energy metering module is used to collect the air conditioner power. The temperature collection module communicates with the single-chip microcomputer controller through the communication module, wherein the communication module can be a Bluetooth communication device, and the system data storage module is arranged in the single-chip microcomputer controller. The single-chip microcomputer controller is also connected with the power supply module and the liquid crystal display module respectively. The communication module is connected with the man-machine interaction module.

[0056] The obtained data is quantitatively divided with indoor temperature and outdoor temperature as references to obtain historical data segments under different indoor temperature and outdoor temperature conditions;

[0057] The historical data segments under different indoor temperature and outdoor temperature conditions in the storage module are modeled to establish an ARX model between the air conditioner power and the indoor temperature, and the ARX model is approximated to the first order to obtain a first-order model between the air conditioner power and the indoor temperature. The established first-order model is stored in the data storage module. The modeling step is continuously performed until the ARX model of all historical data segments is obtained to form a dynamic model library. The ARX model in the present example is as follows:

[0058] (1)

[0059] Among them, , ;

[0060]

[0061] Here, is the influence of the non-zero mean between the input and the output, which is considered The real value can be directly input to identify the model parameters of the system, which is a stationary noise with zero mean. , The model parameters of the system ; , , The structure parameters of the system The structure parameters are estimated as:

[0062] (2)

[0063] where, is the degree of fitting between the estimated value of the output value and the real output value:

[0064] (3)

[0065] In the above formula, is the estimated value of , and is the average value of . The estimated model parameter vector is obtained by the least square algorithm:

[0066] (4)

[0067] where, , The estimation of the system model parameters obeys the following Gaussian distribution:

[0068] (5) where,

[0069] is the expectation of the estimated value, and represents the covariance matrix of the estimated value, and the covariance . represents the estimated value of the noise variance, which is estimated as:

[0070] (6)

[0071] In the above formula, N is the length of the entire running data, and is the dimension of the operation number vector.

[0072] The ARX model in formula (1) can be approximated as a first-order model:

[0073] (7)

[0074] where, is the gain of the intermittent temperature regulation air-conditioned room; is the time constant of the intermittent temperature regulation space system; is the delay time of the intermittent temperature regulation space system.

[0075] In the specific implementation process, the construction process of the dynamic model library is:

[0076] Based on different indoor temperature historical data segments and outdoor temperature historical data segments, a series of dynamic models of intermittent temperature regulation air-conditioned rooms are obtained with air-conditioner power as input and indoor temperature change as output. Thus, the relationship between room temperature and air-conditioner power under different environments is described, and a model library is formed by all dynamic models under different indoor and outdoor temperatures.

[0077] In the specific implementation process, the dynamic model most similar to the current environmental temperature is found from the pre-constructed dynamic model library according to the shortest Euclidean distance criterion.

[0078] The Euclidean distance formula here is:

[0079] (8)

[0080] (9)

[0081] wherein, is a historical data segment, is a current indoor temperature data segment; , is the serial number of the model in the model library; is the slope of the straight line fitted by the steady-state power of the air conditioner and the steady-state temperature in the room, is the intercept of the corresponding straight line.

[0082] Step 3: Based on the known conditions and the found dynamic model, the hibernation time of the air conditioner and the demand response capability of the intermittent temperature regulation space under the current environment are calculated.

[0083] The calculation formula of the air conditioner hibernation time and the demand response capability of the intermittent temperature regulation space is:

[0084] (10)

[0085] (11)

[0086] wherein, is the system gain, is the time constant, is the delay time of the system, is the historical data of indoor temperature in the model library, is the indoor temperature before participating in the demand response of the power grid, is the difference between the two, is the average power during the hibernation period of the air conditioner; is the average power of the current air conditioner, is the power consumed by the air conditioner under normal circumstances, the power consumed by the air conditioner participating in the grid demand response, the estimated value of the power after the grid demand response, the defined total demand response time, the slope between the steady-state temperature and the steady-state power of the air conditioner in the model library, the steady-state temperature difference in the model library.

[0087] The following further describes the embodiment. When the outdoor temperature is 32.5°C, on the basis of the obtained historical data of the outdoor and indoor temperatures and the power of the on-off temperature regulation air-conditioned room, the estimation method of the demand response capability of the on-off temperature regulation air-conditioned room proposed in the above embodiment is used to estimate the demand response capability of the on-off temperature regulation air-conditioned room under the current environment. The specific implementation steps are as follows:

[0088] In order for those skilled in the art to more clearly understand the technical solutions of the present disclosure, the technical solutions of the present disclosure will be described in detail below in combination with specific embodiments.

[0089] S1. The operation data of the on-off temperature regulation air-conditioned room is as shown in Table 1. Figure 4 According to formulas (8) and (9), the corresponding first-order dynamic model in the dynamic model library is obtained as follows:

[0090] (12)

[0091] S2. According to the obtained dynamic model, the system gain is , the time constant is , the delay time of the system is . The difference between the indoor temperature after the grid demand response and the indoor temperature before the demand response is , the average steady-state power before the grid demand response is , the average power during the air conditioner sleep period is , the slope between the steady-state temperature and the steady-state power of the air conditioner is , and the steady-state temperature difference is .

[0092] S3. The known quantities are substituted into formulas (10) and (11) to calculate the estimated value of the air conditioner sleep time , the estimated value of the demand response capability of the on-off temperature regulation space is , the sleep time of the air conditioner is estimated to be when the outdoor temperature is 32.5°C, and the measured value of the grid demand response capability of the room is .

[0093] Embodiment Two

[0094] The embodiment provides a demand response capability estimation system based on intermittent temperature regulation, which specifically comprises: a current environment temperature acquisition module, a most similar dynamic model searching module and a demand response capability calculation module.

[0095] Wherein:

[0096] (1) The current environment temperature acquisition module is used for acquiring the current indoor temperature and outdoor temperature as the current environment temperature.

[0097] (2) The most similar dynamic model searching module is used for searching the most similar dynamic model to the current environment temperature from a pre-constructed dynamic model library.

[0098] In the specific implementation process, the input quantity of the dynamic model is air conditioner power, and the output quantity is indoor temperature change.

[0099] The dynamic model is a first-order inertia delay model, and the construction process is: an ARX model is used to establish the dynamic model between the input and output data, and the established ARX model is reduced to obtain.

[0100] Wherein, the construction process of the dynamic model library is:

[0101] Based on different indoor temperature historical data segments and outdoor temperature historical data segments, the air conditioner power is taken as the input quantity, and the indoor temperature change is taken as the output quantity, so that a series of dynamic models of intermittent temperature regulation air-conditioned rooms are obtained.

[0102] Specifically, according to the shortest Euclidean distance criterion, the most similar dynamic model to the current environment temperature is searched from the pre-constructed dynamic model library.

[0103] (3) The demand response capability calculation module is used for calculating the hibernation time of the air conditioner and the demand response capability of the intermittent temperature regulation space under the current environment based on the known conditions and the searched dynamic model.

[0104] Wherein, the dynamic model in the dynamic model library is the relationship between the air conditioner power and the indoor temperature.

[0105] It should be noted that each module in the embodiment corresponds to each step in the first embodiment one by one, and the specific implementation process is the same, which will not be repeated here.

[0106] Embodiment three

[0107] The embodiment provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to realize the steps in the demand response capability estimation method and system of the intermittent temperature regulation air-conditioned room.

[0108] Embodiment four

[0109] The embodiment provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the intermittent temperature regulation air-conditioned room demand response capability estimation method and system as described above when executing the program.

[0110] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system) and computer program product of the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions of one or more flows and / or blocks Figure 1 The functions of one or more flows and / or blocks

[0111] The above only describes the preferred embodiments of the present application and is not used to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for estimating the demand response capability of an intermittently temperature-controlled air-conditioned room, characterized in that, include: Obtain the current indoor and outdoor temperatures as the current ambient temperature; The obtained data is quantified and divided with indoor and outdoor temperatures as references to obtain historical data segments under different indoor and outdoor temperature conditions; Constructing a dynamic model library: Based on different historical indoor and outdoor temperature data segments, with air conditioning power as the input and indoor temperature change as the output, a series of dynamic models of intermittently temperature-controlled air-conditioned rooms are obtained; among them, the dynamic models in the dynamic model library are the relationship between indoor temperature and air conditioning power consumption. Based on the Euclidean distance shortest criterion, the dynamic model most similar to the current ambient temperature is found from the pre-built dynamic model library; The Euclidean distance formula is: in, For historical data segments, This is the current room temperature data segment; , This is the model's index in the model library; Let be the slope of the straight line fitted between the steady-state power of the air conditioner and the steady-state temperature in the room. This is the intercept of the corresponding line; Based on known conditions and a dynamically searched model, calculate the air conditioner's sleep time and the demand response capability of the intermittently temperature-controlled space under the current environment; air conditioner sleep time. and intermittent temperature regulation space demand response capability The calculation formula is: in, For system gain, For time constant, The system's delay time, Historical indoor temperature data from the model library, Indoor temperature before participating in grid demand response, It is the difference between the two. It is the average power consumption during the air conditioner's sleep period; This represents the current average power of the air conditioner. This refers to the electrical energy consumed by the air conditioner under normal circumstances. The electricity consumed by air conditioning in order to participate in grid demand response This is an estimate of the power output after the grid demand response. The total demand response time is defined.

2. The method for estimating the demand response capability of an intermittently temperature-controlled air-conditioned room as described in claim 1, characterized in that, The dynamic model is a first-order inertial delay model, which is constructed by: using an ARX model to establish a dynamic model between input and output data, and then reducing the order of the established ARX model to obtain the model.

3. A demand response capability estimation system based on intermittent temperature regulation, characterized in that, include: The current ambient temperature acquisition module is used to acquire the current indoor and outdoor temperatures as the current ambient temperature. The obtained data is quantified and divided with indoor and outdoor temperatures as references to obtain historical data segments under different indoor and outdoor temperature conditions; Constructing a dynamic model library: Based on different historical indoor and outdoor temperature data segments, with air conditioning power as the input and indoor temperature change as the output, a series of dynamic models of intermittently temperature-controlled air-conditioned rooms are obtained; among them, the dynamic models in the dynamic model library are the relationship between indoor temperature and air conditioning power consumption. The most similar dynamic model search module searches for the dynamic model that is most similar to the current ambient temperature from a pre-built dynamic model library based on the shortest Euclidean distance criterion. The Euclidean distance formula is: in, For historical data segments, This is the current room temperature data segment; , This is the model's index in the model library; Let be the slope of the straight line fitted between the steady-state power of the air conditioner and the steady-state temperature in the room. This is the intercept of the corresponding line; The demand response capability calculation module is used to calculate the air conditioner's sleep time and the demand response capability of the intermittently temperature-controlled space under the current environment, based on known conditions and a dynamically searched model; air conditioner sleep time. and intermittent temperature regulation space demand response capability The calculation formula is: in, For system gain, For time constant, The system's delay time, Historical indoor temperature data from the model library, Indoor temperature before participating in grid demand response, It is the difference between the two. It is the average power consumption during the air conditioner's sleep period; This represents the current average power of the air conditioner. This refers to the electrical energy consumed by the air conditioner under normal circumstances. The electricity consumed by air conditioning in order to participate in grid demand response This is an estimate of the power output after the grid demand response. The total demand response time is defined.

4. The demand response capability estimation system based on intermittent temperature regulation as described in claim 3, characterized in that, The dynamic model is a first-order inertial delay model, which is constructed by: using an ARX model to establish a dynamic model between input and output data, and then reducing the order of the established ARX model to obtain the model.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps in the method for estimating the demand response capability of an intermittently temperature-controlled air-conditioned room as described in any one of claims 1-2.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the method for estimating the demand response capability of an intermittently temperature-controlled air-conditioned room as described in any one of claims 1-2.

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