Multi-connected air conditioning system optimization control and building sub-house energy efficiency evaluation method and system

Abstract

The application provides a multi-split air conditioning system optimization control and building sub-house energy efficiency evaluation method and system, comprising: obtaining a peak regulation instruction, receiving a peak regulation target based on a virtual power plant, and determining a current multi-split air conditioning system target power value; under the current multi-split air conditioning system target power value, a current air conditioning temperature set value boundary is calculated; for each room, the human body thermal comfort condition is considered to obtain an optimized set temperature of the room; the obtained optimized room temperature set value is taken as a room reference temperature control parameter, the actual temperature setting of the current room is performed, and the temperature of each room and the corresponding room reference temperature are compared, the energy efficiency of the current room is evaluated, the thermal load difference caused by the differences in room types, the number of people and the like of different indoor units is comprehensively considered, the energy consumption is saved as much as possible under the premise of meeting the building demand response, the room temperature is optimized and set, and the energy efficiency performance evaluation of the rooms in the multi-split air conditioning system building is performed.

Description

Multi-split air conditioning system optimization control, building unit energy efficiency assessment methods and systems Technical Field

[0001] This invention relates to the field of energy efficiency assessment technology, specifically to a method and system for optimizing control of multi-split air conditioning systems and assessing energy efficiency for individual buildings. Background Technology

[0002] With China's rapid economic development and the continuous expansion of urban buildings, the proportion and absolute value of building energy consumption in total energy consumption are becoming increasingly significant. Air conditioning systems account for a large portion of this energy consumption. In the context of "dual carbon" (carbon dioxide, carbon emissions, and air conditioning), minimizing air conditioning energy consumption is of great importance for environmental protection and improving the quality of human life. Multi-split air conditioners control the refrigerant flow of different indoor units, enabling one outdoor unit to simultaneously provide cooling / heating to multiple indoor units. By using intelligent algorithms to control the indoor set temperature of multi-split air conditioners, system energy consumption can be minimized while meeting human thermal comfort needs. Multi-split air conditioners often simultaneously meet the cooling and heating comfort needs of multiple rooms. Since different rooms have different requirements and temperature settings, energy efficiency often varies; therefore, assessing the energy efficiency of multi-split systems for different rooms is a crucial task.

[0003] A search of existing technologies revealed that Chinese invention patent application CN114353196A, entitled "Multi-split Air Conditioner Control Method, Control Device and Multi-split Air Conditioner," proposes a multi-split air conditioner control method and control device that can obtain some parameters generated by the operation of the indoor unit, adaptively learn and correct the target indoor unit coil temperature, so as to quickly obtain the optimized control performance of the air conditioner. Chinese invention patent application CN114234370A, entitled "A Control Method, Device, and Multi-Split Air Conditioner," proposes a time-series optimization algorithm that considers the impact of the building's heat storage potential on energy consumption during operation, achieving the lowest possible total energy consumption for air conditioning within the future time domain. Chinese invention patent application CN201610054309, entitled "A VRV Air Conditioning Billing System," calculates operating costs for each terminal by monitoring the outdoor unit's power consumption, the setting of the user's cooling / heating coil, and timers on each cooling / heating coil. Chinese invention patent application CN114576807A, entitled "A VRV Air Conditioning Prepaid Integrated Cost Control System and its Energy-Saving Cost Control Method," calculates the operating costs of each indoor unit by collecting equipment and operating parameters. Existing technologies primarily focus on system energy consumption in terms of control, relatively neglecting residents' thermal comfort; in terms of evaluation, they mainly focus on individual household economic analysis, without considering energy efficiency assessment. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] To address the shortcomings of existing technologies, this invention provides a method and system for optimizing the control of multi-split air conditioning systems and assessing the energy efficiency of individual units in buildings, thus solving the problem mentioned in the background art that existing building optimization control algorithms for multi-split air conditioning systems do not consider the energy efficiency assessment of individual units.

[0006] (II) Technical Solution

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] This invention provides a multi-split air conditioning system optimization control and building unit energy efficiency assessment system, including: a data acquisition module, a data transmission module, and a data processing module;

[0009] The data acquisition module includes: a room temperature sensor, a room humidity sensor, a room occupancy sensor, an outdoor temperature and humidity sensor, an outdoor radiation intensity sensor, and an outdoor wind speed sensor. The room temperature sensor, room humidity sensor, and room occupancy sensor are installed inside the room.

[0010] The data transmission module is connected to the data acquisition module, including via wired or wireless means;

[0011] The data processing and analysis module is connected to the data transmission module, either via wired or wireless means, to run programs for optimizing control of multi-split air conditioning systems and assessing energy efficiency of individual building units.

[0012] This invention also provides a method for optimized control of multi-split air conditioning systems and energy efficiency assessment of individual building units, including:

[0013] Receive peak shaving instructions, receive peak shaving targets based on virtual power plants, and determine the current target power value of the multi-split air conditioning system;

[0014] Calculate the current air conditioning temperature setpoint boundary under the current target power value of the multi-split air conditioning system;

[0015] For each room, the optimal set temperature is obtained by considering human thermal comfort.

[0016] The optimized room temperature setpoint is used as the room reference temperature control parameter. The actual temperature setting of the current room is then performed, and the temperature of each room is compared with its corresponding room reference temperature to evaluate the energy efficiency of the current room.

[0017] Preferably, obtaining the peak-shaving instruction, receiving the peak-shaving target based on the virtual power plant, and determining the target power value of the current multi-split air conditioning system includes:

[0018] ΔPac =P building -P target (1)

[0019] In the formula ΔP ac P represents the power reduction required by the multi-split air conditioning system at that moment to achieve the target demand; building P represents the current building power. target The total building power required to meet current demand response.

[0020] P ac,t =P ac -ΔP ac (2)

[0021] In the formula, P ac,t P is the target power of the current air conditioner. ac This is the current power of the air conditioner.

[0022] Preferably, calculating the current air conditioning temperature setpoint boundary under the current target power value of the multi-split air conditioning system includes:

[0023] T opt,min =f1(P ac,t (3)

[0024] T opt,max =f2(P ac,t (4)

[0025] In the formula, T opt,min T opt,max To optimize the lower and upper bounds of the temperature, f1(P) ac,t f2(P) ac,t This is a function that takes the current target power of the air conditioner as input parameters and the upper and lower limits of the room set temperature as output parameters.

[0026] Preferably, the method for setting the upper and lower limits of the temperature is as follows: in summer, the power of the multi-split air conditioner increases as the set temperature decreases; in winter, the power of the multi-split air conditioner increases as the set temperature increases.

[0027] When setting the upper and lower limits of the temperature, the upper limit of the set temperature for multi-split air conditioners in summer can be set through expert strategies, while the lower limit is obtained based on the temperature-power model to obtain the temperature set value at the current maximum power; the upper and lower limits of the temperature in winter are set in the opposite way.

[0028] Preferably, the step of obtaining the optimal set temperature for each room, taking into account human thermal comfort, includes:

[0029] T opt =f(P ac,t ,Tambient ,hu ambient Q radiation V wind ,t,r,p,x) (5)

[0030]

[0031] In the formula, T opt To optimize the room temperature setting, T opt i For the optimal temperature of the i-th room, T ambient outdoor temperature, hu ambient For outdoor humidity, Q radiation V represents outdoor radiation intensity. wind Outdoor wind speed, t is the current 24-hour time, r is the current unit load rate (current unit power / rated unit power), p is the current personnel density, and T is the current outdoor wind speed. room_set The setpoint for the indoor temperature of each room, and x represents other control parameters of the multi-split system that may affect thermal comfort. The number of control parameters represented by x can be 0 or several.

[0032] Preferably, the step of obtaining the optimal set temperature for each room, considering human thermal comfort, further includes: establishing a thermal comfort index model for the room, which represents the thermal comfort of the human body in the current room.

[0033] Using this model as the objective function, we search for a set of control parameters that satisfy the current conditions and maximize the room thermal comfort index G.

[0034] Preferably, the establishment of the room thermal comfort index model includes:

[0035] G = F(T) ambient ,hu ambient Q radiation V wind ,t,p,T opt ,x) (7)

[0036] In the formula, G represents the room thermal comfort index, and T represents the temperature index. ambient outdoor temperature, hu ambient For outdoor humidity, Q radiation V represents outdoor radiation intensity. wind Outdoor wind speed, t is the current 24-hour time, r is the current unit load rate (current unit power / rated unit power), p is the current personnel density, and T is the current outdoor wind speed. room_set The setpoint for the indoor temperature of each room, and x represents other control parameters of the multi-split system that may affect thermal comfort. The number of control parameters represented by x can be 0 or several.

[0037] Preferably, the energy efficiency assessment method for the current room is as follows: calculate the difference between the actual indoor temperature and the optimized set temperature of the room to obtain the energy efficiency of the current room temperature, sort the energy efficiency assessment indicators of all rooms, and obtain the energy efficiency assessment result of the current room.

[0038] ΔT room =T room -T opt (8)

[0039] In the formula, ΔT room This is the difference between the room temperature and the corresponding reference temperature.

[0040] For each room, there is a difference ΔT between its room temperature and the corresponding reference temperature. room i The temperature differences of all rooms were arranged from largest to smallest and divided into five levels: "comfortable", "relatively comfortable", "average", "relatively uncomfortable" and "not energy-efficient" according to the proportions of 10%, 20%, 40%, 20%, and 10%.

[0041] (III) Beneficial Effects

[0042] This invention provides a method and system for optimized control of multi-split air conditioning systems and for individual building energy efficiency assessment. It offers the following advantages:

[0043] This invention provides a method and system for optimizing control of a multi-split air conditioning system and evaluating the energy efficiency of individual units in a building. The method includes: obtaining a peak-shaving command; receiving a peak-shaving target based on a virtual power plant; determining the target power value of the current multi-split air conditioning system; calculating the current air conditioning temperature setpoint boundary under the current target power value; for each room, considering human thermal comfort, obtaining the optimized setpoint temperature for that room; using the obtained optimized room temperature setpoint as the room reference temperature control parameter; setting the actual temperature of the current room and comparing the temperature of each room with its corresponding room reference temperature; evaluating the energy efficiency of the current room; comprehensively considering the differences in heat load caused by differences in room type, number of people, etc., corresponding to different indoor units; and, while meeting the building's demand response requirements, saving energy as much as possible, optimizing the setpoint room temperature, and evaluating the energy efficiency performance of the multi-split air conditioning system in the building. Attached Figure Description

[0044] Figure 1 is a structural diagram of the multi-split air conditioning system optimization control and building unit energy efficiency assessment system provided in an embodiment of the present invention.

[0045] Figure 2 is a flowchart of the multi-split air conditioning system optimization control and building unit energy efficiency assessment method provided in the embodiment of the present invention.

[0046] In the diagram: Room temperature sensor 1, Room humidity sensor 2, Room occupancy sensor 3, Data transmission module 4, Data processing and analysis module 5, Room 6, Outdoor temperature and humidity sensor 7, Outdoor radiation intensity sensor 8, Outdoor wind speed sensor 9, Data acquisition module 10. Detailed Implementation

[0047] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0048] A multi-split air conditioning system optimization control and building unit energy efficiency assessment system includes: a data acquisition module 10, a data transmission module 4, and a data processing module 5;

[0049] The data acquisition module 10 includes: a room temperature sensor 1, a room humidity sensor 2, a room number sensor 3, an outdoor temperature and humidity sensor 7, an outdoor radiation intensity sensor 8, and an outdoor wind speed sensor 9. The room temperature sensor 1, room humidity sensor 2, and room number sensor 3 are installed in the room 6.

[0050] The room temperature sensor 1 can be a common sensor used in the field for monitoring gas temperature, such as a thermistor temperature sensor, thermocouple temperature sensor, RTD temperature sensor, semiconductor-based temperature sensor, etc. For its installation, a relatively standardized and practical installation method should be adopted to avoid sampling points where the temperature is inconsistent with the current room temperature, such as air conditioner vents, direct sunlight, and ventilation openings, so that the collected room temperature reflects the true temperature in the room as accurately as possible. If necessary, the number of room temperature sensors in each room can be greater than one; that is, the current room temperature can be obtained by averaging the temperatures collected by multiple temperature sensors located at different sampling points in the room using a certain calculation method.

[0051] The indoor humidity sensor 2 can be a sensor commonly used in the field for monitoring gas humidity, installed in an appropriate location in the corresponding room, or it can be an integrated temperature and humidity sensor.

[0052] The room occupancy sensor 3 can be a common sensor in the field for monitoring the number of people in a room, including an infrared sensor for monitoring the number of people entering and exiting the room, or a WIFI connection device number sensor for approximating the number of people in the room by monitoring the number of electronic devices in the room. For rooms with multiple entrances and exits, if the method of monitoring the number of people entering and exiting the room is used to collect the current number of people in the room, a room occupancy sensor should be installed at each entrance and exit to ensure that the collected number of people in the room is consistent with the actual number of people in the room. For the WIFI connection device number sensor for approximating the number of people in the room by monitoring the number of electronic devices in the room, a more detailed method should be used to determine the number of people in the room based on the number of connected devices, such as the type of connected devices, time, signal strength, etc. When calculating the number of people based on the number of devices, a reasonable calculation should be made based on the actual situation in the building.

[0053] The outdoor temperature and humidity sensor 7, outdoor radiation intensity sensor 8, and outdoor wind speed sensor 9 should be installed in their respective outdoor locations to ensure accurate data collection.

[0054] The data acquisition module 10 obtains indoor environmental parameters such as the number of people in the room corresponding to the multi-unit indoor unit, room temperature, and humidity, as well as outdoor environmental parameters such as outdoor temperature, humidity, and radiation intensity through the corresponding sensors, and sends them to the data processing module through the data transmission module.

[0055] The data transmission module 4 is connected to the data acquisition module 10, and can be wired or wireless. It can include technologies commonly used for data transmission, and its data transmission can be achieved through data interfaces commonly used in the field, such as RS458, Modbus, CAN, Bluetooth, NB, HBS, Zigbee, Ethernet, 4G, and 5G. Its connection with the data acquisition module and the data processing module can be either wired or wireless, but the stability of the data transmission process should be ensured.

[0056] The data processing and analysis module 5 is connected to the data transmission module 4, including wired or wireless methods, to run the multi-split air conditioning system optimization control and building unit energy efficiency assessment method program;

[0057] In the data processing and analysis module 5, based on the peak-shaving target of the virtual power plant, the demand response of the current building air conditioning system is determined, and the boundary value of the room temperature is determined. Under the premise of meeting the thermal comfort of the human body in the room, corresponding technical means are adopted to obtain the optimized room setting temperature of the current multi-split indoor unit. This temperature can be used for the actual temperature setting of the multi-split unit. In multi-split systems that do not follow the optimized temperature setting, the optimized temperature can also be compared with the actual room temperature obtained by the room temperature sensor to obtain the energy efficiency of the current room temperature. The energy efficiency evaluation indicators of all rooms are ranked and the energy efficiency evaluation result of the current room is obtained.

[0058] The data processing and analysis module 5 uses a high-performance microprocessor and supports the Linux system. It can perform calculations on the collected data to optimize the control of multi-split air conditioning systems and assess the energy efficiency of individual buildings. The calculation results can be displayed in a visual way or sent to other visualization terminals through various means.

[0059] Outliers in the data transmitted by data transmission module 5 are removed using mathematical methods to prevent them from affecting the accuracy of the final evaluation result. For data collected over a continuous period of time, since the evaluation frequency should be lower than the sensor acquisition frequency, the data transmitted by the data transmission module and the data collected by the acquisition module during the evaluation time interval are processed using methods including, but not limited to, averaging, so that the final evaluation data can more accurately reflect the actual parameters of the room during this period. A built-in clock should be provided to obtain the current time zone.

[0060] The data processing and analysis module 5 includes parameters preset based on building information, in addition to the real-time parameters collected by sensors, required for the multi-split air conditioning system optimization control and building unit energy efficiency assessment method. These parameters include relevant parameters for each room in the building and relevant information of the multi-split system.

[0061] The relevant parameters for the room include the room type, the corresponding thermal comfort requirements for the room type, and the changes in the room type over time; the relevant information for the multi-split system should include the energy consumption model of the current multi-split system with room temperature as the input parameter.

[0062] The room type should be determined based on the main activities of the people in the room, such as gym, office, activity room, etc., because the purpose of determining the room type is to adjust the baseline temperature for the corresponding room assessment based on the current thermal comfort requirements of the people in the room. Considering that a room is not limited to a specific purpose, the room type can change over time. For example, the room type can be different at different times of the day or at a certain time of the year.

[0063] This invention also provides a method for optimized control of multi-split air conditioning systems and energy efficiency assessment of individual building units, including:

[0064] S1 receives the peak shaving command, receives the peak shaving target based on the virtual power plant, and determines the target power value of the current multi-split air conditioning system;

[0065] S2 calculates the current air conditioning temperature setpoint boundary under the current target power value of the multi-split air conditioning system;

[0066] S3 calculates the optimal set temperature for each room by taking into account human thermal comfort.

[0067] S4 uses the obtained optimized room temperature setpoint as the room reference temperature control parameter, sets the actual temperature of the current room, compares the temperature of each room with its corresponding room reference temperature, and performs an energy efficiency assessment of the current room.

[0068] Preferably, obtaining the peak-shaving instruction, receiving the peak-shaving target based on the virtual power plant, and determining the target power value of the current multi-split air conditioning system includes:

[0069] ΔP ac =P building -P target (1)

[0070] In the formula ΔP ac P represents the power reduction required by the multi-split air conditioning system at that moment to achieve the target demand; building P represents the current building power. target The total building power required to meet current demand response.

[0071] P ac,t =P ac -ΔP ac (2)

[0072] In the formula, P ac,t P is the target power of the current air conditioner. ac This is the current power of the air conditioner.

[0073] Preferably, calculating the current air conditioning temperature setpoint boundary under the current target power value of the multi-split air conditioning system includes:

[0074] T opt,min =f1(P ac,t (3)

[0075] T opt,max =f2(P ac,t (4)

[0076] In the formula, T opt,min T opt,maxTo optimize the lower and upper bounds of the temperature, f1(P) ac,t f2(P) ac,t This is a function that takes the current target power of the air conditioner as input parameters and the upper and lower limits of the room set temperature as output parameters.

[0077] Preferably, the method for setting the upper and lower limits of the temperature is as follows: in summer, the power of the multi-split air conditioner increases as the set temperature decreases; in winter, the power of the multi-split air conditioner increases as the set temperature increases.

[0078] When setting the upper and lower limits of the temperature, the upper limit of the set temperature for multi-split air conditioners in summer can be set through expert strategies, while the lower limit is obtained based on the temperature-power model to obtain the temperature set value at the current maximum power; the upper and lower limits of the temperature in winter are set in the opposite way.

[0079] Preferably, the step of obtaining the optimal set temperature for each room, taking into account human thermal comfort, includes:

[0080] T opt =f(P ac,t ,T ambient ,hu ambient Q radiation V wind ,t,r,p,x) (5)

[0081]

[0082] In the formula, T opt To optimize the room temperature setting, T opt i For the optimal temperature of the i-th room, T ambient outdoor temperature, hu ambient For outdoor humidity, Q radiation V represents outdoor radiation intensity. wind Outdoor wind speed, t is the current 24-hour time, r is the current unit load rate (current unit power / rated unit power), p is the current personnel density, and T is the current outdoor wind speed. room_set The setpoint for the indoor temperature of each room, and x represents other control parameters of the multi-split system that may affect thermal comfort. The number of control parameters represented by x can be 0 or several.

[0083] Preferably, the step of obtaining the optimal set temperature for each room, considering human thermal comfort, further includes: establishing a thermal comfort index model for the room, which represents the thermal comfort of the human body in the current room.

[0084] Using this model as the objective function, find a set of control parameters that satisfy the current conditions and maximize the room thermal comfort index G; using this model as the objective function, T ambient hu ambient Q radiation V wind , t, r, and p are the fixed input parameters of the function, T opt Let x and y be control parameters. A set of control parameters that satisfies the current conditions and maximizes the room thermal comfort index G is found using widely used optimization algorithms in this field. These optimization algorithms include, but are not limited to, particle swarm optimization, genetic algorithm, differential evolution algorithm, ant colony optimization, artificial fish swarm optimization, and sparrow search algorithm.

[0085] Preferably, the establishment of the room thermal comfort index model includes:

[0086] G = F(T) ambient ,hu ambient Q radiation V wind ,t,p,T opt ,x) (7)

[0087] In the formula, G represents the room thermal comfort index, and T represents the temperature index. ambient outdoor temperature, hu ambient For outdoor humidity, Q radiation V represents outdoor radiation intensity. wind Outdoor wind speed, t is the current 24-hour time, r is the current unit load rate (current unit power / rated unit power), p is the current personnel density, and T is the current outdoor wind speed. room_set The setpoint for the indoor temperature of each room, and x represents other control parameters of the multi-split system that may affect thermal comfort. The number of control parameters represented by x can be 0 or several.

[0088] Preferably, the energy efficiency assessment method for the current room is as follows: calculate the difference between the actual indoor temperature and the optimized set temperature of the room within the calculation method, calculate the difference between the actual indoor temperature and the optimized set temperature of the room within the calculation method, obtain the energy efficiency of the current room temperature, sort the energy efficiency assessment indicators of all rooms, and obtain the energy efficiency assessment result of the current room.

[0089] ΔT room =T room -T opt (8)

[0090] In the formula, ΔT room This is the difference between the room temperature and the corresponding reference temperature.

[0091] For each room, there is a difference ΔT between its room temperature and the corresponding reference temperature. roomi The temperature differences of all rooms were arranged from largest to smallest and divided into five levels: "comfortable", "relatively comfortable", "average", "relatively uncomfortable" and "not energy-efficient" according to the proportions of 10%, 20%, 40%, 20%, and 10%.

[0092] The following example illustrates the evaluation method:

[0093] The current situation is summer, and the building power P building The total building power P required to meet the current demand response is 1000kW. target If the power is 950kW, then at that moment, in order to achieve the target demand, the corresponding power reduction ΔP of the multi-split air conditioning system is required. ac It is 50kW; the current total power of the air conditioner P ac If the power is 500kW, then the target power P of the current air conditioner is... ac,t It has a power output of 450kW.

[0094] Based on the current target power P of the air conditioner ac,t 450kW, calculate the upper limit T of the room optimal set temperature for this multi-split system. opt,max The lower bound T for the optimal room temperature setting is 29℃. opt,min It is 22.3℃.

[0095] The current outdoor temperature T was collected. ambient The temperature was 34.6℃, and the outdoor humidity was hu. ambient The outdoor radiation intensity Q is 60%. radiation 800W / m 2 Outdoor wind speed V wind The velocity is 1.7 m / s, the current 24-hour time t is 15:26, and the current occupancy densities p in the four rooms are 0.1 people / m², 0.2 people / m², 0.15 people / m², and 0.06 people / m², respectively. PMV is selected as the thermal comfort evaluation index for the current rooms. Substituting the above data into the model, the particle swarm optimization algorithm is used to obtain the optimal room setting temperature T when the human thermal comfort index is maximized. opt 1 23.6℃, ​​T opt 2 25.2℃, T opt 3 25.8℃, T opt 4 24.5℃.

[0096] Use the optimized room temperature setting for actual room control. If not applied to actual control, use the actual indoor temperature T. room 1 24℃, T room 225.3℃, T room 3 25.6℃, T room 4 25.1℃, the difference between which and the optimized set temperature is ΔT room 1 0.4℃, ΔT room 2 0.1℃, ΔT room 3 -0.2℃, ΔT room 4 0.6℃. The room energy efficiency results are: Room 4 is better than Room 1, which is better than Room 2, which is better than Room 3.

[0097] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for optimized control of multi-split air conditioning systems and energy efficiency assessment of individual building units, characterized in that, include: Upon receiving a peak-shaving command and peak-shaving target based on a virtual power plant, the target power value of the current multi-split air conditioning system is determined. Under the current target power value of the multi-split air conditioning system, the current air conditioning temperature setpoint boundary is calculated. For each room, considering human thermal comfort, the optimized setpoint temperature for that room is obtained. The obtained optimized room temperature setpoint is used as the room reference temperature control parameter to set the actual temperature of the current room and compare the temperature of each room with its corresponding room reference temperature to perform an energy efficiency assessment of the current room.

2. The method for optimized control of multi-split air conditioning systems and building-specific energy efficiency assessment according to claim 1, characterized in that, The process of obtaining peak-shaving instructions, receiving peak-shaving targets based on virtual power plants, and determining the current target power value of the multi-split air conditioning system includes: In the formula To achieve the target requirements, the power of the multi-split air conditioning system needs to be reduced accordingly; Current building power; The total building power required to meet current demand response; In the formula, The target power of the current air conditioner, This is the current power of the air conditioner.

3. The method for optimized control of multi-split air conditioning systems and building-specific energy efficiency assessment according to claim 2, characterized in that, The step of calculating the current air conditioning temperature setpoint boundary under the current target power value of the multi-split air conditioning system includes: ； In the formula, 、 To optimize the lower and upper bounds of the temperature, 、 It is a function that takes the current target power of the air conditioner as input parameters and the upper and lower limits of the room set temperature as output parameters.

4. The method for optimized control of multi-split air conditioning systems and building-specific energy efficiency assessment according to claim 3, characterized in that, The method for setting the upper and lower bounds of the temperature is as follows: In summer, the power of the multi-split air conditioner increases as the set temperature decreases; in winter, the power of the multi-split air conditioner increases as the set temperature increases. During the process of setting the upper and lower bounds of the temperature, the upper bound of the set temperature of the multi-split air conditioner in summer is set through an expert strategy, while the lower bound is obtained based on the temperature-power model to obtain the temperature set value at the current maximum power. The upper and lower bounds of the temperature in winter are set in the opposite way.

5. The method for optimized control of multi-split air conditioning systems and building-specific energy efficiency assessment according to claim 4, characterized in that, For each room, considering human thermal comfort, the optimal set temperature for that room is obtained, including: ； In the formula, Optimize the room temperature setting. To optimize the temperature for the i-th room, Outdoor temperature Outdoor humidity, Outdoor radiation intensity Outdoor wind speed, This is the current 24-hour time. The current unit load rate is calculated as: current unit power / rated unit power. Given the current population density, Set the indoor temperature value for each room. Other control parameters of this multi-split air conditioning system that may affect thermal comfort. The number of control parameters represented is zero or several.

6. The method for optimized control of multi-split air conditioning systems and building-specific energy efficiency assessment according to claim 5, characterized in that, The process of determining the optimal set temperature for each room, considering human thermal comfort, further includes: establishing a room thermal comfort index model, which represents the current thermal comfort of the human body in the room; and using this model as the objective function to find a set of room thermal comfort indices that satisfy the current conditions. The maximum control parameter.

7. The method for optimized control of multi-split air conditioning systems and building-specific energy efficiency assessment according to claim 6, characterized in that, The establishment of the room thermal comfort index model includes: In the formula, As an indicator of room thermal comfort, Outdoor temperature Outdoor humidity, Outdoor radiation intensity Outdoor wind speed, This is the current 24-hour time. The current unit load rate is calculated as: current unit power / rated unit power. Given the current population density, Set the indoor temperature value for each room. Other control parameters of this multi-split air conditioning system that may affect thermal comfort. The number of control parameters represented is zero or several.

8. The method for optimized control of multi-split air conditioning systems and building-specific energy efficiency assessment according to claim 7, characterized in that, The energy efficiency assessment method for the current room is as follows: the difference between the actual indoor temperature and the optimized set temperature of the room is used to obtain the energy efficiency of the current room temperature, and the energy efficiency assessment indicators of all rooms are sorted to obtain the energy efficiency assessment result of the current room. In the formula, This is the difference between the room temperature and the corresponding reference temperature; for each room, there is a difference between its room temperature and the corresponding reference temperature. The temperature differences of all rooms were arranged from largest to smallest and divided into five levels: "comfortable", "relatively comfortable", "average", "relatively uncomfortable" and "not energy-efficient" according to the proportions of 10%, 20%, 40%, 20%, and 10%.

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