Low-carbon operation control method and device of multi-split air conditioning system

Abstract

The application relates to a low-carbon operation control method and device of a multi-connected air conditioning system, which comprises the following steps: obtaining a set temperature value of a controlled space according to obtained temperature reduction regulation priority weight values, temperature increase regulation priority weight values, electricity price weight values, weight values of carbon emission signals in the multi-connected air conditioning system, real-time electricity prices and power carbon emission responsibility factor values; collecting an actual temperature value of the controlled space, and adjusting the operation power of the multi-connected air conditioning system according to the actual temperature value and the set temperature value, so that the actual temperature value of the controlled space reaches the set temperature value. The application realizes automatic regulation and control of the set temperature of a controlled indoor space in the multi-connected air conditioning system, controls the output power of the multi-connected air conditioning system, and solves the technical problem that the multi-connected air conditioning system cannot simultaneously reduce energy consumption and carbon emission during operation. The application also relates to a low-carbon operation control device of a multi-connected air conditioning system and a storage medium.

Description

Technical Field

[0001] This application relates to the field of power system technology, and in particular to a low-carbon operation control method and device for a multi-split air conditioning system. Background Technology

[0002] Currently, multi-split air conditioning systems can control the cooling of multiple rooms of different types, each with its own set temperature. Setting the indoor temperature too low directly increases the output power of the multi-split air conditioning system, thus increasing energy consumption and carbon emissions. Therefore, how to balance reducing energy consumption and carbon emissions when operating multi-split air conditioning systems is a pressing technical problem that needs to be solved. Summary of the Invention

[0003] In order to solve the problem of reducing energy consumption and carbon emissions while operating a multi-split air conditioning system, this application provides a low-carbon operation control method and device for a multi-split air conditioning system.

[0004] In a first aspect, this application provides a low-carbon operation control method for a multi-split air conditioning system, the method comprising:

[0005] The system acquires the priority weight values ​​of cooling control when cooling down each controlled space under the control of the multi-split air conditioning system, the priority weight values ​​of heating control when heating up the controlled space, the weight value of electricity price, the weight value of carbon emission signal in the multi-split air conditioning system, real-time electricity price, and electricity carbon emission responsibility factor value.

[0006] The set temperature value of the controlled space is obtained based on the cooling control priority weight value, the heating control priority weight value, the electricity price weight value, the weight value of the carbon emission signal in the multi-split air conditioning system, the real-time electricity price, and the electricity carbon emission responsibility factor value.

[0007] The actual temperature value of the controlled space is collected, and the operating power of the multi-split air conditioning system is adjusted according to the actual temperature value and the set temperature value so that the actual temperature value of the controlled space reaches the set temperature value.

[0008] Secondly, this application also provides a low-carbon operation control device for a multi-split air conditioning system, the device comprising:

[0009] The data acquisition module is used to acquire the cooling control priority weight value when cooling down each controlled space controlled by the multi-split air conditioning system, the heating control priority weight value when heating up the controlled space, the electricity price weight value, the weight value of carbon emission signal in the multi-split air conditioning system, the real-time electricity price, and the electricity carbon emission responsibility factor value.

[0010] The calculation module is used to obtain the set temperature value of the controlled space based on the cooling control priority weight value, the heating control priority weight value, the electricity price weight value, the weight value of the carbon emission signal in the multi-split air conditioning system, the real-time electricity price, and the electricity carbon emission responsibility factor value.

[0011] The control module is used to collect the actual temperature value of the controlled space, and adjust the operating power of the multi-split air conditioning system according to the actual temperature value and the set temperature value, so that the actual temperature value of the controlled space reaches the set temperature value.

[0012] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the low-carbon operation control method of the multi-split air conditioning system described in any one of the first aspects.

[0013] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the low-carbon operation control of the multi-split air conditioning system as described in any one of the first aspects.

[0014] This application provides a low-carbon operation control method for a multi-split air conditioning system, comprising: acquiring the priority weight values ​​of cooling regulation when cooling down each controlled space under the control of the multi-split air conditioning system, the priority weight values ​​of heating regulation when heating up the controlled space, the weight value of electricity price, the weight value of carbon emission signal in the multi-split air conditioning system, real-time electricity price, and electricity carbon emission responsibility factor value; obtaining the set temperature value of the controlled space based on the priority weight values ​​of cooling regulation, heating regulation, electricity price, carbon emission signal in the multi-split air conditioning system, real-time electricity price, and electricity carbon emission responsibility factor value; collecting the actual temperature value of the controlled space; and adjusting the operating power of the multi-split air conditioning system according to the actual temperature value and the set temperature value, so that the actual temperature value of the controlled space reaches the set temperature value. This application realizes automatic regulation of the set temperature of the controlled room in the multi-split air conditioning system and controls the output power of the multi-split air conditioning system, solving the technical problem that multi-split air conditioning systems cannot simultaneously reduce energy consumption and carbon emissions during operation. Attached Figure Description

[0015] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0016] Figure 1 This is a flowchart illustrating the low-carbon operation control method for a multi-split air conditioning system provided in this application embodiment;

[0017] Figure 2 This is a flowchart illustrating a low-carbon operation control method for a multi-split air conditioning system provided in another embodiment of this application;

[0018] Figure 3 This is a schematic diagram of the data signal transmission process of a low-carbon operation control method for a multi-split air conditioning system provided in another embodiment of this application;

[0019] Figure 4 This is a schematic diagram of the control module architecture for the calculation and control in the execution of the low-carbon operation control method for a multi-split air conditioning system provided in another embodiment of this application;

[0020] Figure 5 This is a schematic diagram of the supply and demand interaction relationship in the execution of a low-carbon operation control method for a multi-split air conditioning system provided in another embodiment of this application;

[0021] Figure 6 This is a schematic diagram of the unitized architecture of the terminal multi-split air conditioning system in the execution of the low-carbon operation control method of the multi-split air conditioning system provided in another embodiment of this application;

[0022] Figure 7 This is a schematic diagram of a module for a low-carbon operation control device of a multi-split air conditioning system provided in another embodiment of this application. Detailed Implementation

[0023] The present invention will now be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0024] The following detailed description is exemplary and intended to provide further detailed explanation of the invention. Unless otherwise specified, all technical terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this invention is for describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention.

[0025] Example 1:

[0026] The following will be combined with the appendix Figure 1 This application provides a detailed description of the low-carbon operation control method for a multi-split air conditioning system, including the following steps:

[0027] S1. Obtain the priority weight value of cooling control when cooling down each controlled space controlled by the multi-split air conditioning system, the priority weight value of heating control when heating up the controlled space, the weight value of electricity price, the weight value of carbon emission signal in the multi-split air conditioning system, real-time electricity price, and electricity carbon emission responsibility factor value.

[0028] S2. Based on the priority weight values ​​of cooling control, heating control, electricity price, carbon emission signal in the multi-split air conditioning system, real-time electricity price, and electricity carbon emission responsibility factor, the set temperature value of the controlled space is obtained.

[0029] S3. Collect the actual temperature value of the controlled space, and adjust the operating power of the multi-split air conditioning system according to the actual temperature value and the set temperature value so that the actual temperature value of the controlled space reaches the set temperature value.

[0030] Based on the above embodiments, specifically, step S1 includes:

[0031] The system collects the priority weight values ​​for cooling control during temperature reduction and heating control during temperature rise in each controlled space of the multi-split air conditioning system. Specifically, this includes:

[0032] Based on the different types of the controlled space, the priority weight value of the cooling control of the controlled space during cooling is obtained respectively. And the priority weight value of temperature control in the controlled space during temperature rise. ,in It is the number of the controlled space.

[0033] Based on the above embodiments, specifically, step S1 includes:

[0034] Initialize the controlled space dataset .

[0035] Current data collection cycle Real-time electricity price and the carbon emission responsibility factor value for electricity Save to dataset In [τ-T, τ], T is the data acquisition period.

[0036] Based on the above embodiments, specifically, step S2 includes:

[0037] S21, based on real-time electricity price Electricity carbon emission responsibility factor signal Priority weight of cooling regulation and the priority weight value of temperature regulation The weighted values ​​in the historical dataset are calculated.

[0038] S22. Extract the maximum eigenvalue of the weighted values ​​from all weighted values. The minimum eigenvalue of the weighted values and the average eigenvalue of the weighted values .

[0039] S23. Based on the largest eigenvalue of the weighted values The minimum eigenvalue of the weighted values and the average eigenvalue of the weighted values Combine the temperature data of all controlled spaces to obtain the indoor set temperature value of the controlled space at the current moment.

[0040] Based on the above embodiments, specifically, step S21 includes:

[0041] Real-time electricity prices in the dataset Electricity carbon emission responsibility factor signal Priority weight of cooling regulation and the priority weight value of temperature regulation Enter formula To obtain the weighted values ​​of the data within the dataset. .

[0042] Based on the above embodiments, specifically, step S23 includes:

[0043] Based on the indoor temperature setpoints of all controlled spaces at the previous moment. The average indoor temperature setpoint of the multi-split air conditioning system at the previous moment is obtained. .

[0044] The average indoor temperature setpoint from the previous moment. Upper limit of average indoor temperature setpoint and the lower limit of the average indoor temperature setpoint The largest eigenvalue of the weighted values The minimum eigenvalue of the weighted values and the average eigenvalue of the weighted values Enter formula

[0045] The average indoor temperature setpoint of the multi-split air conditioning system at the current moment is obtained. .

[0046] Set the current average indoor temperature setting value The previous moment Indoor temperature setpoint for a controlled space The previous data collection cycle The upper limit of the indoor temperature setpoint for a controlled space Previous data collection cycle Priority weight of cooling regulation and the priority weight value of temperature regulation Enter the formula:

[0047]

[0048] Obtain the indoor set temperature value of the controlled space at the current moment, where N is the number of controlled spaces.

[0049] This application provides a low-carbon operation control method for a multi-split air conditioning system, comprising: acquiring the priority weight values ​​of cooling regulation when cooling down each controlled space under the control of the multi-split air conditioning system, the priority weight values ​​of heating regulation when heating up the controlled space, the weight value of electricity price, the weight value of carbon emission signal in the multi-split air conditioning system, real-time electricity price, and electricity carbon emission responsibility factor value; obtaining the set temperature value of the controlled space based on the priority weight values ​​of cooling regulation, heating regulation, electricity price, carbon emission signal in the multi-split air conditioning system, real-time electricity price, and electricity carbon emission responsibility factor value; collecting the actual temperature value of the controlled space; and adjusting the operating power of the multi-split air conditioning system according to the actual temperature value and the set temperature value, so that the actual temperature value of the controlled space reaches the set temperature value. This application realizes automatic regulation of the set temperature of the controlled room in the multi-split air conditioning system and controls the output power of the multi-split air conditioning system, solving the technical problem that multi-split air conditioning systems cannot simultaneously reduce energy consumption and carbon emissions during operation.

[0050] Example 2:

[0051] The following will be combined with the appendix Figures 2 to 6 This application provides a detailed description of the low-carbon operation control method for multi-split air conditioning systems provided in the embodiments of this application, and its application in a real-world environment, specifically including the following steps:

[0052] Step 1: Obtain the priority weight values ​​of cooling control when cooling down the controlled space and the priority weight values ​​of heating control when heating up the controlled space in the multi-split air conditioning system.

[0053] Step 2: Obtain the weight values ​​of electricity price, carbon emission signals in the multi-split air conditioning system, real-time electricity price, and electricity carbon emission responsibility factor values. Store the obtained external data in a dataset D [τ-T, τ] with a statistical period of T for calculation and retrieval in subsequent steps.

[0054] Specifically, the system can obtain the user-defined priority weight values ​​for cooling control when cooling down the controlled spaces, the priority weight values ​​for heating control when heating up the controlled spaces, the electricity price weight value, the weight value of carbon emission signals in the multi-split air conditioning system, and the real-time electricity price and electricity carbon emission responsibility factor value. Furthermore, based on the functional needs and usage habits of the controlled spaces, the priority of each controlled space during temperature control differs. Important functional rooms are prioritized for cooling and deferred for heating control, while less important functional rooms are prioritized for heating control and deferred for cooling and cooling.

[0055] Specifically, real-time electricity prices are obtained by communicating with external data sources. and carbon emission responsibility factor Data was collected, and the usage of multi-split air conditioning systems in the service rooms was statistically analyzed.

[0056] Step 3: Collect real-time electricity prices from each historical dataset. Electricity carbon emission responsibility factor signal Priority weight of cooling regulation and the priority weight value of temperature regulation Enter formula To obtain the weighted values ​​of the historical dataset. .

[0057] Step 4: Extract the largest eigenvalue from the weighted values ​​in all historical datasets. The minimum eigenvalue of the weighted values and the average eigenvalue of the weighted values .

[0058] Specifically, the data in the dataset is used for weighted calculations to obtain the weighted value of electricity price and carbon emission responsibility factor. This serves as the basis for controlling the multi-split air conditioning system, and the data is stored for later retrieval.

[0059] Feature value extraction is performed on all data in a weighted dataset of length T to obtain the maximum, minimum, and average values ​​in the dataset.

[0060] Step 5: Based on the indoor temperature setpoints of all controlled spaces at the previous moment. The average indoor temperature setpoint of the multi-split air conditioning system in the previous data collection period is obtained. ;

[0061] The average indoor temperature setpoint from the previous moment Upper limit of average indoor temperature setpoint and the lower limit of the average indoor temperature setpoint The largest eigenvalue of the weighted values The minimum eigenvalue of the weighted values and the average eigenvalue of the weighted values Enter formula

[0062] The average indoor temperature setpoint of the multi-split air conditioning system at the current moment is obtained. .

[0063] Step 6: Set the current average indoor temperature setting. The previous moment Indoor temperature setpoint for a controlled space The previous moment The upper limit of the indoor temperature setpoint for a controlled space The previous moment Priority weight of cooling regulation and the priority weight value of temperature regulation Enter the formula:

[0064]

[0065] Obtain the indoor set temperature value of the controlled space at the current moment, where N is the number of controlled spaces.

[0066] Specifically, the first step is to calculate the average indoor set temperature of all cooled spaces based on the characteristic values ​​and real-time weighted values ​​of the weighted values, and then limit the upper and lower limits of the calculation results, i.e., the average indoor set temperature, to avoid large fluctuations in room temperature that exceed the comfortable temperature. The calculation formula is as follows:

[0067]

[0068] In the formula, and These are the average indoor temperature setpoints for the current time and the previous time, respectively. and These are the upper and lower limits of the average indoor temperature setpoint, respectively.

[0069] Based on the calculated average indoor set temperature, and combined with the priority set in step 1, the specific indoor set temperature value for each cooling space can be calculated. The calculation formula is as follows:

[0070]

[0071] In the formula, and These are the indoor temperature setpoints for each room at the current time and the previous time, respectively. and These are the upper and lower limits of the indoor temperature setting for each room. This represents the number of rooms currently in use.

[0072] The system collects the actual temperature value of the controlled space and adjusts the operating power of the multi-split air conditioning system based on the actual temperature value and the set temperature value, so that the actual temperature value of the controlled space reaches the set temperature value.

[0073] Specifically, as the execution link in the entire control process, the multi-split air conditioning system adjusts the system's operating frequency and the distribution of cooling capacity to each room based on the indoor set temperature values ​​of each room calculated in the above steps. This enables the entire system to achieve "low-energy and low-carbon" operation and control.

[0074] It should be understood that, such as Figure 3 The data signal transmission process is illustrated in the diagram, which clearly shows the data types and relationships within the control process. The low-carbon operation control scheme in this application uses local and external data. Local data includes user-defined weight values ​​and priority data, as well as statistical data on room usage. Local data is readily available and participates in the calculation process. External data consists of real-time electricity prices and carbon emission responsibility factors obtained from the AC power grid. This data is stored locally and continuously participates in subsequent calculations. Using the stored external data and some local data, weighted data for controlling the operation of the multi-split air conditioning system can be calculated. After processing the weighted data, the average indoor set temperature can be calculated. Combining this with local data, the indoor set temperature for each room can be determined, thereby guiding the multi-split air conditioning system in adjusting its power and cooling capacity distribution.

[0075] like Figure 4 The control module architecture diagram shown in this application, which performs calculations and control, consists of four parts: a data collector, a global calculator, a local distributor, and a control actuator. The data collector and global calculator provide global data and calculations for the control module, while the local distributor and control actuator perform local calculations and control. The data collector is responsible for communication with external data and the acquisition of local data, serving as the foundation and prerequisite for subsequent processes. The global calculator is responsible for storing the data obtained by the data collector and performing preliminary calculations on the data to obtain the average indoor set temperature value. The local distributor is responsible for calculating the indoor set temperature of each cooling space and distributing the data signal to the multi-split air conditioning terminal equipment in each cooling space. The control actuator is responsible for regulating the cooling capacity distribution and operating power of the multi-split air conditioning system based on the indoor set temperature and the actual indoor temperature.

[0076] like Figure 5As illustrated in the supply-demand interaction diagram of this application, the application uses a control module to achieve communication between the multi-split air conditioning system and external data, and adjusts the system's operating status based on the external data, thereby achieving interaction and response between the system and the power grid. As the supply side, the power grid, in addition to its determinable tiered pricing, experiences some uncertainty in its carbon emission responsibility factor due to changes in electricity load and the introduction of renewable energy generation. To respond to this uncertainty and conversely reduce the grid load and carbon emissions, when the supply-side electricity price or carbon emission responsibility factor increases, the control module can reduce the power of the multi-split air conditioning system (as the demand side) to ensure the comfort of the served space; conversely, it can increase the power of the multi-split air conditioning system to use cheaper electricity to maintain indoor temperature comfort and absorb green and clean energy. This process of proactively adjusting the demand-side operating status based on the supply-side status also reduces the electricity load on the supply side and mitigates the uncertainty of the carbon emission responsibility factor brought about by renewable energy generation.

[0077] like Figure 6 The schematic diagram of the modular architecture of the multi-split air conditioning system in this application is shown. The control process in this application is simple, and the required hardware and software are readily available. It can realize the synchronous control of multiple multi-split air conditioning systems after centralized data calculation. Furthermore, the multi-split air conditioning system in the building can become a single control unit of the low-carbon operation control scheme, and the low-carbon operation of the entire building's terminal system is jointly completed by multiple multi-split air conditioning system units.

[0078] The second embodiment of this application provides a low-carbon operation control method for a multi-split air conditioning system, which realizes automatic regulation of the set temperature in the controlled room of the multi-split air conditioning system and controls the output power of the multi-split air conditioning system, thus solving the technical problem that the multi-split air conditioning system cannot simultaneously reduce energy consumption and carbon emissions during operation.

[0079] Example 3:

[0080] The following will be combined with the appendix Figure 7 This application provides a detailed description of the low-carbon operation control device for a multi-split air conditioning system, including the following steps:

[0081] The data acquisition module is used to acquire the priority weight values ​​of cooling control when cooling down the controlled spaces, the priority weight values ​​of heating control when heating up the controlled spaces, the weight value of electricity price, the weight value of carbon emission signals in the multi-split air conditioning system, and the real-time electricity price and electricity carbon emission responsibility factor value.

[0082] The calculation module is used to obtain the set temperature value of the controlled space based on the priority weight value of cooling control, the priority weight value of heating control, the weight value of electricity price, the weight value of carbon emission signal in multi-split air conditioning system, real-time electricity price and electricity carbon emission responsibility factor value.

[0083] The control module is used to collect the actual temperature value of the controlled space, and adjust the operating power of the multi-split air conditioning system according to the actual temperature value and the set temperature value, so that the actual temperature value of the controlled space reaches the set temperature value.

[0084] Based on the above embodiments, specifically, the acquisition module is used to acquire the cooling control priority weight value of the controlled space during cooling, according to the different types of the controlled space. And the priority weight value of temperature control in the controlled space during temperature rise. ,in It is the number of the controlled space.

[0085] Based on the above embodiments, specifically, the acquisition module is used to initialize the dataset of the controlled space. .

[0086] Current data collection cycle Real-time electricity price and the carbon emission responsibility factor value for electricity Save to dataset In [τ-T, τ], T is the data acquisition period.

[0087] Based on the above embodiments, specifically, the calculation module is used to calculate based on the real-time electricity price. Electricity carbon emission responsibility factor signal Priority weight of cooling regulation and the priority weight value of temperature regulation The regulation characteristic value in the historical data collection period is calculated.

[0088] Extract the maximum eigenvalue of the weighted values ​​from all historical datasets. The minimum eigenvalue of the weighted values and the average eigenvalue of the weighted values

[0089] Based on the largest eigenvalue of the weighted values The minimum eigenvalue of the weighted values and the average eigenvalue of the weighted values Combine the temperature data of all controlled spaces to obtain the set temperature value of the controlled space at the current moment.

[0090] Based on the above embodiments, specifically, the calculation module is used to process the real-time electricity price of the historical dataset. Electricity carbon emission responsibility factor signal Priority weight of cooling regulation and the priority weight value of temperature regulation Enter formula To obtain the weighted values ​​of the historical dataset .

[0091] Based on the above embodiments, specifically, the calculation module is used to calculate the indoor temperature setpoint of all controlled spaces at the previous moment. The average indoor temperature setpoint of the multi-split air conditioning system at the previous moment is obtained. ;

[0092] The average indoor temperature setpoint from the previous moment Upper limit of average indoor temperature setpoint and the lower limit of the average indoor temperature setpoint The largest eigenvalue of the weighted values The minimum eigenvalue of the weighted values and the average eigenvalue of the weighted values Enter formula

[0093] The average indoor temperature setpoint of the multi-split air conditioning system at the current moment is obtained. .

[0094] Set the current average indoor temperature setting value The previous moment Indoor temperature setpoint for a controlled space The previous moment The upper limit of the indoor temperature setpoint for a controlled space The previous moment Priority weight of cooling regulation and the priority weight value of temperature regulation Enter the formula:

[0095]

[0096] Obtain the indoor set temperature value of the controlled space at the current moment, where N is the number of controlled spaces.

[0097] The third embodiment of this application provides a low-carbon operation control device for a multi-split air conditioning system, which realizes automatic regulation of the set temperature in the controlled room of the multi-split air conditioning system and controls the output power of the multi-split air conditioning system, thus solving the technical problem that the multi-split air conditioning system cannot simultaneously reduce energy consumption and carbon emissions during operation.

[0098] Furthermore, embodiments of this application include a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the low-carbon operation control method for a multi-split air conditioning system as described in any of the above technical solutions.

[0099] This application also includes a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the low-carbon operation control method for a multi-split air conditioning system as described in any of the above technical solutions.

[0100] The above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A low-carbon operation control method for a multi-split air conditioning system, characterized in that, The method includes: The system acquires the priority weight values ​​of cooling control when cooling down each controlled space, the priority weight values ​​of heating control when heating up each controlled space, the weight value of electricity price, the weight value of carbon emission signal in the multi-split air conditioning system, real-time electricity price, and electricity carbon emission responsibility factor value. Based on the priority weight values ​​of cooling control, heating control, electricity price, carbon emission signal in multi-split air conditioning systems, real-time electricity price, and electricity carbon emission responsibility factor, the set temperature value of the controlled space is obtained, including: S21, Real-time electricity price Electricity carbon emission responsibility factor signal Priority weight of cooling regulation and the priority weight value of temperature regulation Enter formula To obtain the weighted value ; S22. Extract the maximum eigenvalue of the weighted values ​​from all weighted values. Minimum eigenvalue and average eigenvalues ; S23. Based on the indoor temperature setpoints of all controlled spaces at the previous moment. The average indoor temperature setpoint of the multi-split air conditioning system at the previous moment is obtained. ; Set the average indoor temperature setting value from the previous moment Upper limit of average indoor temperature setpoint and the lower limit of the average indoor temperature setpoint Maximum eigenvalue Minimum eigenvalue and average eigenvalues Enter the formula: Obtain the average indoor temperature setpoint of the multi-split air conditioning system at the current moment. ; Set the current average indoor temperature setting value The previous moment Indoor temperature setpoint for a controlled space The previous data collection cycle The upper limit of the indoor temperature setpoint for a controlled space Previous data collection cycle Priority weight of cooling regulation and the priority weight value of temperature regulation Enter the formula: Obtain the indoor set temperature value of the controlled space at the current moment, where N is the number of controlled spaces; The system collects the actual temperature value of the controlled space and adjusts the operating power of the multi-split air conditioning system based on the actual temperature value and the set temperature value so that the actual temperature value of the controlled space reaches the set temperature value.

2. The low-carbon operation control method for a multi-split air conditioning system according to claim 1, characterized in that, Obtain the priority weight values ​​for cooling control when cooling down and heating control when heating up in each controlled space of the multi-split air conditioning system, specifically including: Depending on the type of the controlled space, the priority weight value of the cooling control of the controlled space during cooling is obtained respectively. And the priority weight value of temperature control in the controlled space during temperature rise. ,in It is the number of the controlled space.

3. The low-carbon operation control method for a multi-split air conditioning system according to claim 2, characterized in that, Obtain real-time electricity prices and electricity carbon emission responsibility factor values, specifically including: Initialize the controlled space dataset ; Will the current Real-time electricity price and the carbon emission responsibility factor value for electricity Save to a dataset of length T In [τ-T, τ], T is the data acquisition period.

4. A low-carbon operation control device for a multi-split air conditioning system, applied to the low-carbon operation control method for the multi-split air conditioning system according to any one of claims 1 to 3, characterized in that, The device includes: The data acquisition module is used to acquire the cooling control priority weight value when cooling down each controlled space controlled by the multi-split air conditioning system, the heating control priority weight value when heating up the controlled space, the electricity price weight value, the weight value of carbon emission signal in the multi-split air conditioning system, the real-time electricity price, and the electricity carbon emission responsibility factor value. The calculation module is used to obtain the set temperature value of the controlled space based on the cooling control priority weight value, the heating control priority weight value, the electricity price weight value, the weight value of the carbon emission signal in the multi-split air conditioning system, the real-time electricity price, and the electricity carbon emission responsibility factor value. The control module is used to collect the actual temperature value of the controlled space, and adjust the operating power of the multi-split air conditioning system according to the actual temperature value and the set temperature value, so that the actual temperature value of the controlled space reaches the set temperature value.

5. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the low-carbon operation control method for the multi-split air conditioning system as described in any one of claims 1 to 3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the low-carbon operation control method for the multi-split air conditioning system as described in any one of claims 1 to 3.

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