CN115143602A - Distribution control method under limited cold quantity condition based on iterative learning mechanism - Google Patents

Distribution control method under limited cold quantity condition based on iterative learning mechanism Download PDF

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CN115143602A
CN115143602A CN202210752907.8A CN202210752907A CN115143602A CN 115143602 A CN115143602 A CN 115143602A CN 202210752907 A CN202210752907 A CN 202210752907A CN 115143602 A CN115143602 A CN 115143602A
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CN115143602B (en
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王盛卫
戴明坤
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Shenzhen Research Institute HKPU
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
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    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
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    • F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
    • F24F11/83—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers
    • F24F11/84—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers using valves
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    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract

The invention discloses an iterative learning mechanism-based distribution control method under a limited cold quantity condition, which comprises the following steps: determining the cold flow control correction value of each building space at the stage according to the indoor differential temperature of each building space at the stage, the indoor differential temperature of the previous stage and the distribution control time of the previous stage; and determining the cold flow control value of each building space at the stage according to the cold flow control value of each building space at the previous stage and the cold flow control correction value at the stage, and controlling the cold flow reaching each building space. In the stage, the refrigerating capacity flow control value of the stage is calculated and obtained through the control system according to the refrigerating capacity flow control value, the indoor difference temperature and the distribution control time of the previous stage and by combining the indoor difference temperature of the stage. Along with the time line, the control precision is improved and the change of the working condition is adapted through continuous iterative learning and improvement in each control period, so that the uniform cold distribution is ensured.

Description

Distribution control method under limited cold quantity condition based on iterative learning mechanism
Technical Field
The invention relates to the technical field of cold quantity distribution control, in particular to a distribution control method under a limited cold quantity condition based on an iterative learning mechanism.
Background
At present, equipment control of air conditioning systems of large-scale commercial and office buildings, such as an Air Handling Unit (AHU) water valve, a variable air volume air conditioning system (VAV) air valve and the like, is mostly controlled by adopting a feedback controller (such as PID), and the method corrects control output in real time by calculating errors between acquired controlled variable data and a set reference value of the controlled variable data so as to realize feedback control. Feedback control has found wide application in the industry due to its simple and practical nature.
In the prior art, for large and medium-sized commercial and office buildings, when the cold load is large and the cooling capacity provided by an air conditioning system is insufficient, each space in the building faces the problem of limited air conditioning cooling capacity distribution control. For example, the air conditioning system is usually started to pre-cool the building space in the morning before the working hours, so that the indoor temperature reaches the expected set value when the worker enters the building at the working hours. However, in the early precooling period of the air conditioning system, the building has a large cold load but the cold supply capacity or the supplied cold quantity of the air conditioning system is limited, and meanwhile, the flow resistances of the air conditioning systems of the building spaces are different, and at this time, the air conditioning units corresponding to the building spaces compete under the traditional feedback control to cause the problem of uneven cold quantity distribution, so that the time for each building space to reach the indoor temperature set value is uneven, that is, under the condition that the cold quantity is limited and can not completely meet all the building spaces, the cold quantity distribution is uneven due to the competition among the building spaces. In addition, when the building participates in the response of the demand side, the air conditioning system usually cannot provide enough cooling capacity, and at the moment, the air conditioning units corresponding to the building spaces also have the problem of uneven cooling capacity distribution caused by competition under the traditional feedback control.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide an allocation control method under the limited cooling capacity condition based on an iterative learning mechanism, aiming at solving the problem of uneven cooling capacity allocation caused by competition among building spaces under the condition that the cooling capacity is limited and can not completely satisfy all the building spaces in the prior art.
The technical scheme adopted by the invention for solving the technical problem is as follows:
an iterative learning mechanism-based distribution control method under the condition of limited cold quantity is applied to an air conditioner precooling stage of a building air conditioning system or a stage of a building participating in demand side response; the building air conditioner the system comprises:
a cold source of the air conditioner;
the water valves are communicated with the air conditioner cold source;
the air treatment units are connected in parallel and are respectively communicated with the air conditioner cold source and the corresponding water valves;
the fan is communicated with the air handling unit;
the air valves are connected in parallel and are respectively communicated with the air handling unit and the building space; the air valves are arranged in one-to-one correspondence with the building spaces;
the control system is connected with the water valve and the air valve;
the control system is used for controlling the flow of the cold energy reaching each building space;
the distribution control method includes the steps of:
acquiring indoor differential temperature of each building space at the stage, indoor differential temperature of each building space at the previous stage, distribution control time of each building space at the previous stage and a cooling capacity flow control value of each building space at the previous stage; the indoor difference temperature is the initial indoor temperature of an air conditioner precooling stage or the final indoor temperature of a stage of the building participating in the response of the demand side;
determining the cold flow control correction value of each building space at the stage according to the indoor differential temperature of each building space at the stage, the indoor differential temperature of each building space at the previous stage and the distribution control time of each building space at the previous stage;
determining the cold flow control value of each building space at the stage according to the cold flow control value of each building space at the previous stage and the cold flow control correction value of each building space at the stage;
and controlling the flow of the cooling capacity reaching each building space according to the cooling capacity flow control value of each building space at the stage.
The distribution control method under the limited cold quantity condition based on the iterative learning mechanism comprises the following steps of: a water valve cold flow control correction value and/or an air valve cold flow control correction value;
the step of determining the cold flow control correction value of each building space at the stage according to the indoor differential temperature of each building space at the stage, the indoor differential temperature of each building space at the previous stage and the distribution control time of each building space at the previous stage comprises the following steps of:
aiming at the building space group corresponding to each air handling unit, determining the average distribution control time of the building space group at the previous stage according to the distribution control time of each building space in the building space group at the previous stage; determining the air valve cold flow control correction value of each building space in the building space group at the stage according to the average distribution control time, the distribution control time of each building space in the building space group at the previous stage, the indoor differential temperature of each building space in the building space group at the stage and the indoor differential temperature of each building space in the building space group at the previous stage; and/or
Aiming at a building space group corresponding to each air handling unit, determining the average distribution control time of the building space group at the previous stage according to the distribution control time of each building space in the building space group at the previous stage, determining the average indoor differential temperature of the building space group at the previous stage according to the indoor differential temperature of each building space in the building space group at the previous stage, and determining the average indoor differential temperature of the building space at the current stage according to the indoor differential temperature of each building space in the building space at the current stage; determining the total average distribution control time of the previous stage according to the average distribution control time of each building space group in the previous stage; and determining the water valve cold flow control correction value of each building space group at the current stage according to the total average distribution control time, the average distribution control time of each building space group at the previous stage, the average indoor differential temperature of each building space group at the current stage and the average indoor differential temperature of each building space group at the previous stage.
The distribution control method based on the iterative learning mechanism under the limited cold quantity condition is characterized in that the cold quantity flow control correction value of the air valve is as follows:
Figure BDA0003721597430000041
Figure BDA0003721597430000042
wherein, Δ v jk,i+1 Showing the air valve cold flow control correction value of the kth building space in the jth building space group at the (i + 1) th stage,
Figure BDA0003721597430000043
represents the average distribution control time t of the jth building space group in the ith stage jk,i Represents the distribution control time, T, of the kth building space in the jth building space group in the ith stage jk,i+1 Represents the indoor differential temperature, T, of the kth building space in the jth building space group in the (i + 1) th stage jk,i Representing the indoor difference temperature of the kth building space in the jth building space group in the ith stage, n representing the number of the building spaces in the jth building space group, k 1 And b 1 All represent control parametersΣ denotes a summation symbol;
the water valve cold flow control correction value is as follows:
Figure BDA0003721597430000044
Figure BDA0003721597430000045
Figure BDA0003721597430000046
Figure BDA0003721597430000047
Figure BDA0003721597430000048
wherein, Δ u j,i+1 Showing the cold flow control correction value of the water valve of the jth building space group in the (i + 1) th stage, t ave Which represents the total average assigned control time,
Figure BDA0003721597430000049
indicating the average distribution control time of the jth building space group at the ith stage,
Figure BDA00037215974300000410
represents the average indoor differential temperature of the jth building space group at the (i + 1) th stage,
Figure BDA00037215974300000411
represents the average indoor differential temperature, k, of the jth building space group at the ith stage 2 And b 2 All represent control parameters, t jk,i Represents the distribution control time, T, of the kth building space in the jth building space group in the ith stage jk,i+1 Represents the indoor differential temperature T of the kth building space in the jth building space group in the (i + 1) th stage jk,i The indoor difference temperature of the kth building space in the jth building space group in the ith stage is represented, n represents the number of building spaces in the jth building space group, and sigma represents the summation symbol.
The distribution control method under the limited cold quantity condition based on the iterative learning mechanism comprises the following steps of: a water valve cold flow control value and/or an air valve cold flow control value;
the cold flow control value of the water valve is as follows:
u j,i+1 ＝u j,i -Δu j,i+1
wherein u is j,i+1 Shows the cold flow control value of the water valve of the jth building space group at the (i + 1) th stage, u j,i The flow control value, delta u, of the cold flow of the water valve of the jth building space group in the ith stage is shown j,i+1 The water valve cold flow control correction value of the jth building space group at the (i + 1) th stage is represented; and/or
The cold flow control value of the air valve is as follows:
v jk,i+1 ＝v jk,i -Δv jk,i+1
wherein v is jk,i+1 Showing the cold flow control value v of the air valve of the kth building space in the ith +1 stage in the jth building space group jk,i The flow control value of the air valve cooling capacity of the kth building space in the jth building space group at the ith stage is shown as delta v jk,i+1 And indicating the air valve cold flow control correction value of the kth building space in the jth building space group at the (i + 1) th stage.
The distribution control method based on the iterative learning mechanism under the limited cold quantity condition is characterized in that the air conditioner precooling stage refers to a stage of starting a building air conditioning system to regulate and control cold quantity supply shortage when the initial indoor temperature of each building space reaches a first target temperature in advance before each building space is used;
the stage of the building participating in the demand side response refers to the stage of insufficient cold supply when the building participating in the demand side response is regulated and controlled by the building air conditioning system to reach the final indoor temperature from the first target temperature.
The distribution control method based on the iterative learning mechanism under the limited cold quantity condition is characterized in that the distribution control time comprises the following steps: the pre-cooling time of the air conditioner pre-cooling stage or the response time of the stage of the building participating in the demand side response.
The distribution control method based on the iterative learning mechanism under the limited cold quantity condition is characterized in that a temperature sensor is arranged in each building space and connected with the control system, and the temperature sensors are used for detecting the indoor temperature of the building spaces.
The distribution control method based on the iterative learning mechanism under the limited cold quantity condition is characterized in that the cold quantity flow comprises cold water flow and/or cold water flow.
A computer device comprising a memory storing a computer program and a processor, wherein the processor implements the steps of the method as claimed in any one of the above when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, carries out the steps of the method as set forth in any one of the preceding claims.
Has the advantages that: in the period of the stage, the control system executes the calculated cold flow control value of the stage according to the cold flow control value, the indoor differential temperature and the distribution control time of the previous stage and in combination with the indoor differential temperature of the stage. With the lapse of time line, the invention improves and updates the control set value continuously to improve the control precision and adapt to the change of the working condition by continuously iterating and learning in each control period, thus ensuring the even distribution of the cold quantity.
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Fig. 1 is a schematic structural view of a building air conditioning system according to the present invention.
Fig. 2 is a flow chart of the distribution control method under the limited cold quantity condition based on the iterative learning mechanism in the invention.
Fig. 3 is a diagram of temperature changes of each building space in an air-conditioning precooling stage under the control of (a) in the conventional control and (b) in the method of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
Referring to fig. 1-3, the present invention provides embodiments of a building air conditioning system.
As shown in fig. 1, the air conditioning system for a building of the present invention includes:
a cold source of the air conditioner;
the water valves are communicated with the air conditioner cold source;
the air treatment units are connected in parallel and are respectively communicated with the air conditioner cold source and the corresponding water valves;
the fan is communicated with the air processing unit;
the air valves are connected in parallel and are respectively communicated with the air handling unit and the building space; the air valves are arranged in one-to-one correspondence with the building spaces;
the control system is connected with the water valve and the air valve;
wherein the control system is used for controlling the flow of cooling energy to each building space.
It is worth mentioning that the air-conditioning cold source can be replaced by the air-conditioning heat source, the control system controls the heat flow of the water valve and the air valve, when the air-conditioning cold source is adopted, a circulating cold water channel is formed between the air-conditioning cold source and the air handling unit, the water valve controls the flow of cold water in the cold water channel, the cold flow can be controlled, a circulating cold air channel is formed among the air handling unit, the fan and the building space, and the air valve controls the flow of cold air in the cold air channel, so the cold flow can be controlled; when the air-conditioning heat source is adopted, a circulating hot water channel is formed between the air-conditioning heat source and the air handling unit, the water valve controls the flow of hot water in the hot water channel, so that the heat flow can be controlled, a circulating hot air channel is formed among the air handling unit, the fan and the building space, and the air valve controls the flow of hot air in the hot air channel, so that the heat flow can be controlled. The following description will take the cold source of the air conditioner as an example.
The cold source of the air conditioner is a component for generating cold in the air conditioner, and can be a cold water unit, the air treatment unit is a component for generating cold conduction for cold water and air, the fan is a component for driving air to move, the control system is a system for controlling the flow of the cold to each building space, the water valve is a valve body for controlling the flow of the cold water, and the air valve is a valve body for controlling the flow of the cold air. The cold source of the air conditioner is communicated with the air handling unit through the cold water channel, the air handling unit is communicated with the fan and the building space through the cold air channel, so that the cold energy is conveyed to the building space, and the temperature in the building space can be adjusted through the water valve and the air valve.
In the air-conditioning precooling stage and the stage of the building participating in the demand side response, the cold quantity supply is insufficient, in order to ensure that the temperature adjustment change conditions of all the building spaces are similar or the same, the size and the position of each building space and the flow resistance in the cold quantity conveying process need to be considered, the cold quantity conveyed for each building space is different, and the cold quantity flow value conveyed by each building space is specifically adjusted. For example, building spaces with large spaces or large flow resistance require a large flow of cooling energy; the building spaces with small space or small flow resistance need smaller cold flow, and the change conditions of reaching the target temperature (range) of each building space are similar or identical.
It can be understood that each air handling unit group has a plurality of building spaces, the building spaces can form the building space group, and each water valve controls the cooling capacity flow of the corresponding building space group. Each building space group is internally provided with a plurality of building spaces connected in parallel, and each air valve controls the cold flow of the corresponding building space, so that the cold flow of each building space can be adjusted through the cooperation of the water valve and the air valve, and of course, only the water valve or only the air valve can be controlled.
In a preferred implementation manner of the embodiment of the present invention, as shown in fig. 1, a temperature sensor is disposed in each building space, and the temperature sensor is connected to the control system and is used for detecting an indoor temperature of the building space.
Specifically, a temperature sensor is provided in each building space, and the temperature sensor detects the air temperature in the building space (i.e., detects the indoor differential temperature as needed), so that the indoor initial temperature of the building space can be detected before the building air conditioning system is turned on. The initial indoor temperature of each building space may also vary on the same day. The air temperature in the building space during the start-up of the building air conditioning system and entering the demand side response phase may of course also be detected as the end of the indoor temperature at the end of the demand side response phase.
Thus, T j,i Representing the indoor differential temperature of the jth building space group in the ith stage, the indoor differential temperatures of all the building spaces in the ith stage can be represented as a set T i ：
T i ＝[T 1,i ,T 2,i ,…,T j,i ,…,T m,i ]
Where m represents the number of building space groups within the building.
T j,i ＝[T j1,i ,T j2,i ,…,T jk,i ,…,T jn,i ]
Wherein n represents the number of building spaces in the jth building space group, T jk,i The indoor differential temperature of the kth building space in the jth building space group in the ith stage is shown. If entering the air conditioner precooling stage, T jk,i Representing the initial indoor temperature of the kth building space in the jth building space group in the ith stage; if entering the stage of the building participating in the demand side response, T jk,i Indicating the final indoor temperature of the kth building space in the jth building space group in the ith stage.
The indoor differential temperatures of all the building space groups at the (i + 1) th stage may be represented as a set T i+1 ：
T i+1 ＝[T 1,i+1 ,T 2,i+1 ,…,T j,i+1 ,…,T m,i+1 ]
Where m represents the number of groups of building spaces within the building.
T j,i+1 ＝[T j1,i+1 ,T j2,i+1 ,…,T jk,i+1 ,…,T jn,i+1 ]
Wherein n represents the number of building spaces in the jth building space group, T jk,i+1 The indoor differential temperature of the kth building space in the jth building space group in the (i + 1) th stage is shown.
In a preferred implementation manner of the embodiment of the present invention, as shown in fig. 1, the air-conditioning precooling stage is a stage in which, before each building space is used, a building air-conditioning system is started to regulate and control in advance that the cold quantity supply is insufficient when the initial indoor temperature of each building space reaches a first target temperature;
the stage of the building participating in the demand side response refers to the stage of insufficient cold supply when the building participating in the demand side response is regulated and controlled by the building air conditioning system to reach the final indoor temperature from the first target temperature.
Specifically, before the building is used in each stage, that is, before workers work, the building air conditioning system needs to be started to pre-cool each building space, so that the temperature of the building space reaches a first target temperature from an initial indoor temperature, and an air conditioning pre-cooling stage is completed. It can be understood that, in the air-conditioning pre-cooling stage, the air-conditioning cold source cannot provide enough cold energy to realize temperature regulation and control of each building space, but needs to transport the cold energy for a period of time to realize the temperature regulation and control, and the period of time is in the air-conditioning pre-cooling stage.
If the temperature change conditions are different when each building space completes precooling, the duration of the whole air conditioner precooling stage is long, a building air conditioner system needs to be started in advance, and waste of electric energy is caused. If the temperature change conditions of the building spaces are similar or identical when precooling is completed, the duration of the whole air conditioner precooling stage is shortened, and therefore the purpose of energy conservation is achieved.
As shown in fig. 3, under the conventional control, the building spaces are cooled down quickly or slowly in the pre-cooling stage, and in order to ensure that all the building spaces reach 24 ℃ (i.e. the first target temperature), it takes about 1.55 h. After the distribution control by the method, the temperature reduction of each building space in the precooling stage is basically performed synchronously, and all the building spaces reach 24 ℃ (namely the first target temperature) and need about 1.35 h.
Since power/cold limitation is required at the time of power reduction, the first target temperature needs to be adjusted to the final indoor temperature to reduce the consumption of electric power. It should be noted that, when the building air conditioning system is cooling, the first target temperature is less than the final indoor temperature. When the energy is reduced, the cold quantity is not supplied enough, and if the change conditions of finishing the temperature rise of each building space are different, the temperature of each building space in the response stage of the whole building participating in the demand side is not completely the same (some building spaces have higher temperature and some building spaces have lower temperature). If the change conditions of the building spaces after finishing temperature rise are similar or the same, the temperature of each building space in the response stage of the whole building participating in the demand side is similar or the same.
It is emphasized that the warming process warms up to the final indoor temperature in the demand-side response phase. Under the traditional control, the temperature of part of building spaces is higher and the temperature of part of building spaces is lower in the heating process in the response stage of the demand side, so that the temperature difference of each building space is larger. After the distribution control by the method, the temperature rise of each building space in the response stage of the demand side is basically performed synchronously, and all the building spaces synchronously reach the indoor temperature.
The air conditioning system is started for precooling the building space in the morning usually earlier than the working hours, so that the indoor temperature reaches the expected set value when the workers enter the building in the working hours. However, in the early precooling period of the air conditioning system, the cold load of the building is very large but the cold supply capacity or the supplied cold capacity of the air conditioning system is limited, and meanwhile, the flow resistance of the air conditioning system of each building space is different, and at the moment, the air conditioning units corresponding to each building space compete under the traditional feedback control to cause the problem of uneven cold distribution, so that the time for each building space to reach the indoor temperature set value is uneven. In order to enable the building space with the slowest precooling speed to reach a temperature set value, a longer precooling time is generally required to be reserved, and a water chilling unit is required to be started for precooling in a longer time in advance for the building, so that a large amount of energy is wasted unnecessarily. On the other hand, when the building participates in the demand side response, the air conditioning system can not provide enough cold capacity generally, and the air conditioning unit corresponding to each building space can also lead to the problem of uneven cold capacity distribution due to competition under the traditional feedback control, so that the temperature rise amplitude of each building space is uneven under the condition of demand response, the variation difference of comfort degree of each space is large, and the success or failure and the effect of the demand response are influenced.
In a preferred implementation of the embodiment of the invention, as shown in fig. 1, the cold flow rate includes a cold water flow rate and/or a cold water flow rate.
Specifically, the cold flow rate is divided into cold water flow rate and/or cold air flow rate, and the cold water flow rate can be adjusted only, or the cold air flow rate can be adjusted only, or the cold water flow rate and the cold air flow rate can be adjusted.
Based on the building air conditioning system of any one of the embodiments, the invention also provides a preferred embodiment of the distribution control method based on the iterative learning mechanism under the limited cold quantity condition, which comprises the following steps:
as shown in fig. 1 and fig. 2, the allocation control method under the limited refrigeration capacity condition based on the iterative learning mechanism of the embodiment of the present invention includes the following steps:
step S100, acquiring indoor differential temperature of each building space at the stage, indoor differential temperature of each building space at the previous stage, distribution control time of each building space at the previous stage and cooling capacity flow control value of each building space at the previous stage.
Specifically, the phases refer to an air conditioner precooling phase or a phase of a building participating in demand side response, and due to different control modes of the two phases, data of the two phases are respectively counted and calculated. The air conditioning pre-cooling phase is generally the phase that occurs every working day, and the phase in which the building participates in the demand-side response is generally the phase that occurs during peak hours of electricity or during periods of low electricity. It is emphasized that the air-conditioning precooling stage and the building participation stage are independently adjusted. Therefore, in the air conditioner pre-cooling stage, the initial indoor temperature in the morning of the working day is obtained by taking days as a unit, the building air conditioning system is not started at this moment, and the outdoor temperature generally rises, so that the building air conditioning system needs to be started to adjust the temperature of the building, and the building air conditioning system is usually started in advance before working to adjust the indoor difference temperature of the building space to the first target temperature. And in the stage that the building participates in the demand side response, the number of stages is taken as a unit, the final indoor temperature of the building space in the stage that the demand side response is finished each time is obtained, and because the air conditioner precooling stage is already passed at the moment, the temperature of the building space is usually the first target temperature when the demand side response stage is started.
When the temperature of the building space at this stage is regulated, the indoor differential temperature at this stage, the indoor differential temperature at the previous stage, the distribution control time at the previous stage, and the cooling capacity flow control value at the previous stage need to be obtained. These parameters are recorded separately according to the building space. The indoor differential temperature of all the building spaces in the ith stage can be represented as a set T i ：
T i ＝[T 1,i ,T 2,i ,…,T j,i ,…,T m,i ]
T j,i ＝[T j1,i ,T j2,i ,…,T jk,i ,…,T jn,i ]
Wherein m represents the number of building space groups in the building, n represents the number of building spaces in the jth building space group, T jk,i The indoor differential temperature of the kth building space in the jth building space group in the ith stage is shown. If entering the air conditioner precooling stage, T jk,i Representing the initial indoor temperature of the kth building space in the jth building space group in the ith stage; if entering the stage of the building participating in the demand side response, T jk,i Indicating the final indoor temperature of the kth building space in the jth building space group in the ith stage.
Indoor difference of all building spaces in i +1 stageThe temperature can be expressed as a set T i+1 ：
T i+1 ＝[T 1,i+1 ,T 2,i+1 ,…,T j,i+1 ,…,T m,i+1 ]
T j,i+1 ＝[T j1,i+1 ,T j2,i+1 ,…,T jk,i+1 ,…,T jn,i+1 ]
Wherein m represents the number of building space groups in the building, n represents the number of building spaces in the jth building space group, T j,i+1 Represents the indoor differential temperature, T, of the jth building space group in the (i + 1) th stage jk,i+1 The indoor differential temperature of the kth building space in the jth building space group in the (i + 1) th stage is shown.
The allocation control time of all building spaces in the ith stage can be represented as a set t i ：
t i ＝[t 1,i ,t 2,i ,…,t j,i ,…,t m,i ]
t j,i ＝[t j1,i ,t j2,i ,…,t jk,i ,…,t jn,i ]
Wherein m represents the number of building space groups in the building, n represents the number of building spaces in the jth building space group, t j,i Indicating the distribution control time, t, of the jth building space in the ith stage jk,i The distribution control time of the kth building space in the jth building space group in the ith stage is shown. If entering the air conditioner precooling stage, t jk,i Representing the precooling time of the kth building space in the jth building space group in the ith stage; if entering the stage that the building participates in the demand side response, t jk,i Representing the response time of the kth building space in the jth building space group at the ith stage.
The distribution control time of all the building spaces in the (i + 1) th stage can be expressed as a set t i+1 ：
t i+1 ＝[t 1,i+1 ,t 2,i+1 ,…,t j,i+1 ,…,t m,i+1 ]
t j,i+1 ＝[t j1,i+1 ,t j2,i+1 ,…,t jk,i+1 ,…,t jn,i+1 ]
Wherein m represents the number of building space groups in the building, n represents the number of building spaces in the jth building space group, t j,i+1 Represents the distribution control time t of the jth building space group in the (i + 1) th stage jk,i+1 The assigned control time of the kth building space in the jth building space group in the (i + 1) th stage is shown.
The cold flow control value of all water valves in the ith stage can be expressed as a set u i ：
u i ＝[u 1,i ,u 2,i ,…,u j,i ,…,u m,i ]
Wherein m represents the number of building space groups in the building, i.e. the number of water valves, u j,i And the flow control value of the cold energy of the water valve in the ith stage corresponding to the water valve in the jth building space group is shown.
The cold flow control value of all air valves in the ith stage can be expressed as a set v i ：
v i ＝[v 1,i ,v 2,i ,…,v j,i ,…,v m,i ]
v j,i ＝[v j1,i ,v j2,i ,…,v jk,i ,…,v jn,i ]
Wherein m represents the number of the building space groups in the building, n represents the number of the building spaces in the jth building space group, namely the number of the air valves in the air valve group corresponding to the jth building space group, v j,i Showing the cold flow control value v of the air valve group corresponding to the jth building space group at the ith stage jk,i And the air valve cold flow control value of the kth air valve in the air valve group corresponding to the jth building space group at the ith stage is shown.
Specifically, the cooling capacity flow control value is a cooling capacity flow control value reaching each building space, the cooling capacity flow control value can be adjusted by the control system, specifically, the opening degree of the valve body can be adjusted by the control system, the valve body can be a water valve and/or an air valve, and the cooling capacity flow control value of each building space at the previous stage can be represented as [ u ] flow control value i ,v i ]。
The allocating the control time includes: precooling time of an air conditioner precooling stage or response time of a stage of building participation in demand side response. Because the two phases are independent, the time of the two phases is also independent, and is divided into precooling time and response time.
And step S200, determining the cold flow control correction value of each building space at the stage according to the indoor difference temperature of each building space at the stage, the indoor difference temperature of each building space at the previous stage and the distribution control time of each building space at the previous stage.
Specifically, since the parameters of the current stage are not completely the same as the parameters of the previous stage, and the control of the cooling capacity flow rate of the previous stage is not necessarily optimized, the cooling capacity flow rate of the current stage is corrected based on the parameters of the previous stage, and the cooling capacity flow rate control correction value of the current stage is determined by the indoor differential temperature of the current stage, the indoor differential temperature of the previous stage, and the distribution control time of the previous stage. The cold flow control correction value of the water valves in the (i + 1) th stage of all the water valves can be expressed as a set delta u i+1 ：
Δu i+1 ＝[Δu 1,i+1 ,Δu 2,i+1 ,…,Δu j,i+1 ,…,Δu m,i+1 ]
Wherein m represents the number of building space groups in the building, i.e. the number of water valves, au j,i+1 And (4) showing the cold flow control value of the water valve of the jth building space group in the (i + 1) th stage.
The air valve cold flow control correction value of the air valve in the (i + 1) th stage can be expressed as a set v i ：
Δv i+1 ＝[Δv 1,i+1 ,Δv 2,i+1 ,…,Δv j,i+1 ,…,Δv m,i+1 ]
Δv j,i+1 ＝[Δv j1,i+1 ,Δv j2,i+1 ,…,Δv jk,i+1 ,…,Δv jn,i+1 ]
Wherein m represents the number of building space groups in the building, and n represents the number of building spaces in the jth building space group, i.e. jthNumber of air valves in air valve group corresponding to building space group, delta v j,i Shows the air valve cold flow control correction value, delta v, of the air valve group corresponding to the jth building space group at the ith stage jk,i And indicating the air valve cold flow control correction value of the kth air valve in the air valve group corresponding to the jth building space group at the ith stage.
It should be noted that, for each building space group, the water valve cooling flow control correction value of the building space group at the present stage, that is, the Δ u flow control correction value, is determined according to the indoor difference temperature of the building space group at the present stage, the indoor difference temperature of the building space group at the previous stage, and the distribution control time of all the building space groups at the previous stage j,i+1 Is according to T jk,i+1 、T jk,i And t jk,i And (4) determining.
Determining the air valve cold flow control correction value of the building space at the stage, namely, delta v/v, according to the indoor difference temperature of the building space at the stage, the indoor difference temperature of the building space at the previous stage and the distribution control time of all the building spaces in the building space group at the previous stage for each building space jk,i+1 Is according to T jk,i+1 、T jk,i And t jk,i And (4) determining.
Step S200 specifically includes:
step S210, aiming at a building space group corresponding to each air handling unit, determining the average distribution control time of the building space group at the previous stage according to the distribution control time of each building space in the building space group at the previous stage; and determining the air valve cold flow control correction value of each building space in the building space group at the stage according to the average distribution control time, the distribution control time of each building space in the building space group at the previous stage, the indoor differential temperature of each building space in the building space group at the stage and the indoor differential temperature of each building space in the building space group at the previous stage.
Specifically, for each building space group (for example, jth building space group), the control time t is controlled according to the distribution of each building space in the building space group at the previous stage jk,i Determining the average distribution control time of the building space group in the last stage
Figure BDA0003721597430000151
Then controlling the time according to the average distribution
Figure BDA0003721597430000152
The distribution control time t of each building space in the building space group at the previous stage jk,i Indoor differential temperature T of each building space in the building space group at the stage jk,i+1 And the indoor differential temperature T of each building space in the building space group at the previous stage jk,i Determining the air valve cold flow control correction value delta v of each building space in the building space group at the current stage jk,i+1 。
Specifically, the cold flow control correction value of the air valve is as follows:
Figure BDA0003721597430000153
Figure BDA0003721597430000154
wherein, Δ v jk,i+1 Showing the air valve cold flow control correction value of the kth building space in the jth building space group at the (i + 1) th stage,
Figure BDA0003721597430000161
represents the average distribution control time t of the jth building space group in the ith stage jk,i Represents the distribution control time, T, of the kth building space in the jth building space group in the ith stage jk,i+1 Represents the indoor differential temperature T of the kth building space in the jth building space group in the (i + 1) th stage jk,i Representing the indoor difference temperature of the kth building space in the jth building space group in the ith stage, n representing the number of the building spaces in the jth building space group, k 1 And b 1 All represent control parametersAnd Σ represents a summation symbol.
It will be appreciated that the dampers for each set of building spaces are independently controlled. The opening size of a certain air valve is adjusted, the cold flow of the building space group where the air valve is located cannot be influenced, the cold flow of a certain air valve of the building space group is increased, and the cold flow of other air valves is correspondingly reduced.
Step S220, aiming at a building space group corresponding to each air handling unit, determining the average distribution control time of the building space group at the previous stage according to the distribution control time of each building space in the building space group at the previous stage, determining the average indoor difference temperature of the building space group at the previous stage according to the indoor difference temperature of each building space in the building space group at the previous stage, and determining the average indoor difference temperature of the building space at the present stage according to the indoor difference temperature of each building space in the building space at the present stage; determining the total average distribution control time of the previous stage according to the average distribution control time of each building space group in the previous stage; and determining the water valve cold flow control correction value of each building space group at the current stage according to the total average distribution control time, the average distribution control time of each building space group at the previous stage, the average indoor differential temperature of each building space group at the current stage and the average indoor differential temperature of each building space group at the previous stage.
Specifically, for each building space group (for example, the jth building space group), the control time t is controlled according to the distribution of each building space in the building space group in the previous stage jk,i Determining the average distribution control time of the building space group in the previous stage
Figure BDA0003721597430000162
Then according to the indoor difference temperature T of each building space in the building space group in the last stage jk,i Determining the average indoor difference temperature of the building space group in the previous stage
Figure BDA0003721597430000163
According to each building space in the building spaceIndoor differential temperature T at this stage jk,i+1 Determining the average indoor differential temperature of the building space at the stage
Figure BDA0003721597430000164
According to the average distribution control time of each building space group in the last stage
Figure BDA0003721597430000165
Determining the total average distributed control time t of the previous stage ave (ii) a According to the total average distribution control time t ave Average distribution control time of each building space group in the previous stage
Figure BDA0003721597430000171
Average indoor differential temperature of each building space group at the stage
Figure BDA0003721597430000172
And the average indoor difference temperature of each building space group in the previous stage
Figure BDA0003721597430000173
Determining the cold flow control correction value delta u of the water valve of each building space group at the current stage j,i+1 。
Specifically, the cold flow control correction value of the water valve is as follows:
Figure BDA0003721597430000174
Figure BDA0003721597430000175
Figure BDA0003721597430000176
Figure BDA0003721597430000177
Figure BDA0003721597430000178
wherein, Δ u j,i+1 Showing the cold flow control correction value of the water valve of the jth building space group in the (i + 1) th stage, t ave Which represents the total average assigned control time,
Figure BDA0003721597430000179
indicating the average allocation control time of the jth building space group at the ith stage,
Figure BDA00037215974300001710
represents the average indoor differential temperature of the jth building space group at the (i + 1) th stage,
Figure BDA00037215974300001711
represents the average indoor differential temperature, k, of the jth building space group at the ith stage 2 And b 2 All represent control parameters, t jk,i Represents the distribution control time, T, of the kth building space in the jth building space group in the ith stage jk,i+1 Represents the indoor differential temperature T of the kth building space in the jth building space group in the (i + 1) th stage jk,i The indoor difference temperature of the kth building space in the jth building space group in the ith stage is represented, n represents the number of building spaces in the jth building space group, and sigma represents the summation symbol.
It can be understood that the cold flow rate of each building space group can be adjusted by adjusting the water valve, and when the opening of a certain water valve is adjusted to be increased, the cold flow rate of the building space group corresponding to the water valve is increased, and then the cold flow rate of the building space in the building space group is increased. The cold flow of the rest building space groups is reduced, and the cold flow of the building spaces in the rest building space groups is also reduced.
And step S300, determining the cooling capacity flow control value of each building space at the stage according to the cooling capacity flow control value of each building space at the previous stage and the cooling capacity flow control correction value of each building space at the stage.
Specifically, the cold flow control value of all water valves in the (i + 1) th stage can be expressed as a set u i+1 ：
u i+1 ＝[u 1,i+1 ,u 2,i+1 ,…,u j,i+1 ,…,u m,i+1 ]
Wherein m represents the number of building space groups in the building, i.e. the number of water valves, u j,i+1 And the cold flow control value of the water valve in the (i + 1) th stage corresponding to the water valve in the jth building space group is shown.
The cold flow control value of all air valves in the (i + 1) th stage can be expressed as a set v i+1 ：
v i+1 ＝[v 1,i+1 ,v 2,i+1 ,…,v j,i+1 ,…,v m,i+1 ]
v j,i+1 ＝[v j1,i+1 ,v j2,i+1 ,…,v jk,i+1 ,…,v jn,i+1 ]
Wherein m represents the number of the building space groups in the building, n represents the number of the building spaces in the jth building space group, namely the number of the air valves in the air valve group corresponding to the jth building space group, v j,i+1 Showing the cold flow control value, v, of the air valve group corresponding to the jth building space group at the (i + 1) th stage jk,i+1 And the air valve cold flow control value of the k-th air valve in the air valve group corresponding to the j-th building space group at the (i + 1) -th stage is shown. The cooling capacity flow control value of each building space at this stage can be expressed as u i+1 ,v i+1 ]。
The cold flow control value of the water valve is as follows:
u j,i+1 ＝u j,i -Δu j,i+1
wherein u is j,i+1 The cold flow control value u of the water valve of the jth building space group corresponding to the water valve in the (i + 1) th stage is shown j,i The flow control value of the cold energy of the water valve, delta u, of the water valve corresponding to the jth building space group at the ith stage is shown j,i+1 Indicates that the jth building space group corresponds to a water valveAnd (4) controlling the cold flow rate of the water valve in the (i + 1) th stage to be a corrected value.
The cold flow control value of the air valve is as follows:
v jk,i+1 ＝v jk,i -Δv jk,i+1
wherein v is jk,i+1 The flow control value v of the air valve cooling capacity of the k-th air valve in the air valve group corresponding to the jth building space group at the (i + 1) th stage is shown jk,i The flow control value delta v of the air valve cold flow of the k-th air valve in the air valve group corresponding to the jth building space group at the ith stage is shown jk,i+1 And indicating the air valve cold flow control correction value of the kth building space in the jth building space group at the (i + 1) th stage.
And step S400, controlling the cooling capacity flow reaching each building space according to the cooling capacity flow control value of each building space at the stage.
Specifically, after the cooling capacity flow control value of each building space at the present stage is obtained, the cooling capacity flow of the water valve and/or the air valve corresponding to each building space is adjusted according to the cooling capacity flow control value of each building space at the present stage. The opening degree of the valve body can be specifically adjusted.
When the building cold load is large and the air conditioning system provides insufficient cold, the control framework based on the iterative learning mechanism provided by the invention is adopted, and in the current control time period, the control set value of the current control period is obtained by calculation and executed by the controller according to the control set value of the previous period and the relevant initial environment data of the building space acquired by the sensor of the current control period. Meanwhile, the control set value of the current control period is used for learning of control decision adjustment of the next control period, and along with the lapse of the time line, the control accuracy is improved and the change of the working condition is adapted by continuously improving and updating the control set value through continuously iterative learning in each control period.
For large and medium-sized commercial and office buildings, when the cooling load is large and the cooling capacity provided by the air conditioning system is insufficient, such as the air conditioning precooling stage in the morning and the stage of the building participating in the demand side response. By adopting the limited air conditioner cold quantity distribution control method based on the iterative learning mechanism, on one hand, the building precooling time can be reduced, the energy consumption in the building precooling stage can be reduced, and on the other hand, the difference of the comfort degree changes of each space can be reduced when the building participates in the response of the demand side, so that the success of the building can be promoted and the effect of the building can be ensured.
Specifically, as shown in fig. 1, for large and medium-sized commercial and office buildings, cold water from an air conditioning cold source (such as a water chilling unit) is distributed to each air processing unit through a water valve, air in the air processing units conducts cold with cold water, and cooled air reaches a building space through the distribution of a fan and an air valve to realize refrigeration. The limited air-conditioning cold distribution control method based on the iterative learning mechanism relies on the control system to determine the control decision quantity, for example, the control system can control the opening of a water valve or a set value of water quantity at the side of an Air Handling Unit (AHU), and the control system can also control the opening of an air valve or a set value of air quantity, thereby realizing the reasonable distribution of the limited air-conditioning cold. For large and medium-sized commercial and office buildings, when the cooling load is large and the cooling capacity provided by the air conditioning system is insufficient, such as the air conditioning precooling stage in the morning and the stage of the building participating in the demand side response. In the current control period (ith control period), a control system calculates and obtains the control decision quantity of the current control period (ith control period), such as the opening degree of a water valve or a water quantity set value and the opening degree of an air valve or an air quantity set value, according to the control decision quantity (ith-1 control period) executed in the previous control period and by combining related air conditioning equipment and building space data acquired by a current control period sensor. Meanwhile, the control decision quantity of the current control period (i-th round control cycle) is provided for the next round of control period (i + 1-th round control cycle) for learning, and the control decision quantity is determined by continuously iterating and learning in each control period along with the lapse of a time line.
According to the control algorithm, the opening control quantity (or flow control set value) of the water valve/air valve corresponding to each building space in the (i + 1) th stage can be obtained. The control algorithm is repeatedly used in the pre-cooling stage of the building in each stage, the approximate optimal distribution of the cold quantity of the limited air conditioner can be realized, and the algorithm can adapt to and follow the change of the working condition along with the transition of the time line, so that the quasi-optimal control is achieved. Each building space can approach and reach the indoor temperature set value, so that the building precooling time is shortened, and the energy consumption in the building precooling stage is reduced.
The limited cold quantity distribution control method based on the iterative learning mechanism can be programmed into a controller or a server of a building automation system. When the building cold load is large and the air conditioning system provides insufficient cold, such as the air conditioning precooling stage in the morning and the electricity/cold limiting stage when the building participates in the demand side response, the limited cold distribution control program of the building automation system temporarily takes over the water valve/air valve (or flow set value) feedback control loop, and temporarily replaces the feedback control set value with the limited cold distribution control set value. And when the precooling or demand side response stage is finished, the feedback control is resumed. By applying the control strategy, on one hand, the building precooling time can be reduced, the energy consumption in the building precooling stage can be reduced, on the other hand, the difference of the change (or reduction) of the comfort level of each space can be reduced when the building participates in the demand side response, the quasi-optimization distribution control of the building limited air conditioning cold quantity is realized, the acceptable demand side response interval is prolonged, and the expected demand side response control is successfully completed.
Based on the allocation control method under the limited cold quantity condition based on the iterative learning mechanism in any embodiment, the invention also provides a preferred embodiment of the computer equipment, which comprises the following steps:
the computer equipment of the embodiment of the invention comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the following steps when executing the computer program:
acquiring indoor differential temperature of each building space at the stage, indoor differential temperature of each building space at the previous stage, distribution control time of each building space at the previous stage and a cooling capacity flow control value of each building space at the previous stage; the indoor difference temperature is the initial indoor temperature of an air conditioner precooling stage or the final indoor temperature of a building participating in a demand side response stage;
determining the cold flow control correction value of each building space at the stage according to the indoor differential temperature of each building space at the stage, the indoor differential temperature of each building space at the previous stage and the distribution control time of each building space at the previous stage;
determining the cold flow control value of each building space at the stage according to the cold flow control value of each building space at the previous stage and the cold flow control correction value of each building space at the stage;
and controlling the flow of the cooling capacity reaching each building space according to the cooling capacity flow control value of each building space at the stage.
Based on the allocation control method under the limited cold quantity condition based on the iterative learning mechanism in any embodiment, the invention also provides a preferred embodiment of a computer-readable storage medium:
a computer-readable storage medium of an embodiment of the present invention, on which a computer program is stored, which, when executed by a processor, implements the steps of:
acquiring indoor differential temperature of each building space at the stage, indoor differential temperature of each building space at the previous stage, distribution control time of each building space at the previous stage and a cooling capacity flow control value of each building space at the previous stage; the indoor difference temperature is the initial indoor temperature of an air conditioner precooling stage or the final indoor temperature of a stage of the building participating in the response of the demand side;
determining the cold flow control correction value of each building space at the stage according to the indoor differential temperature of each building space at the stage, the indoor differential temperature of each building space at the previous stage and the distribution control time of each building space at the previous stage;
determining the cold flow control value of each building space at the current stage according to the cold flow control value of each building space at the previous stage and the cold flow control correction value of each building space at the current stage;
and controlling the flow of the cooling capacity reaching each building space according to the cooling capacity flow control value of each building space at the stage.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.

Claims (10)

1. A distribution control method under the condition of limited cold quantity based on an iterative learning mechanism is characterized by being applied to an air conditioner precooling stage of a building air conditioning system or a stage of a building participating in demand side response; the building air conditioning system includes:
a cold source of the air conditioner;
the water valves are communicated with the air conditioner cold source;
the air treatment units are connected in parallel and are respectively communicated with the air conditioner cold source and the corresponding water valves;
the fan is communicated with the air handling unit;
the air valves are connected in parallel and are respectively communicated with the air handling unit and the building space; the air valves are arranged in one-to-one correspondence with the building spaces;
the control system is connected with the water valve and the air valve;
the control system is used for controlling the cold flow reaching each building space;
the distribution control method includes the steps of:
acquiring indoor differential temperature of each building space at the stage, indoor differential temperature of each building space at the previous stage, distribution control time of each building space at the previous stage and a cooling capacity flow control value of each building space at the previous stage; the indoor difference temperature is the initial indoor temperature of an air conditioner precooling stage or the final indoor temperature of a stage of the building participating in the response of the demand side;
determining the cold flow control correction value of each building space at the stage according to the indoor difference temperature of each building space at the stage, the indoor difference temperature of each building space at the previous stage and the distribution control time of each building space at the previous stage;
determining the cold flow control value of each building space at the stage according to the cold flow control value of each building space at the previous stage and the cold flow control correction value of each building space at the stage;
and controlling the flow of the cooling capacity reaching each building space according to the cooling capacity flow control value of each building space at the stage.
2. The distribution control method under limited refrigeration capacity conditions based on iterative learning mechanism according to claim 1, characterized in that said refrigeration capacity flow control correction value comprises: a water valve cold flow control correction value and/or an air valve cold flow control correction value;
the step of determining the cold flow control correction value of each building space at the stage according to the indoor differential temperature of each building space at the stage, the indoor differential temperature of each building space at the previous stage and the distribution control time of each building space at the previous stage comprises the following steps of:
aiming at the building space group corresponding to each air handling unit, determining the average distribution control time of the building space group at the previous stage according to the distribution control time of each building space in the building space group at the previous stage; determining the air valve cold flow control correction value of each building space in the building space group at the stage according to the average distribution control time, the distribution control time of each building space in the building space group at the previous stage, the indoor differential temperature of each building space in the building space group at the stage and the indoor differential temperature of each building space in the building space group at the previous stage; and/or
Aiming at a building space group corresponding to each air handling unit, determining the average distribution control time of the building space group at the previous stage according to the distribution control time of each building space in the building space group at the previous stage, determining the average indoor differential temperature of the building space group at the previous stage according to the indoor differential temperature of each building space in the building space group at the previous stage, and determining the average indoor differential temperature of the building space at the current stage according to the indoor differential temperature of each building space in the building space at the current stage; determining the total average distribution control time of the previous stage according to the average distribution control time of each building space group in the previous stage; and determining the water valve cold flow control correction value of each building space group at the current stage according to the total average distribution control time, the average distribution control time of each building space group at the previous stage, the average indoor differential temperature of each building space group at the current stage and the average indoor differential temperature of each building space group at the previous stage.
3. The distribution control method based on the iterative learning mechanism under the limited cold capacity condition as claimed in claim 2, wherein the air valve cold capacity flow control correction value is:
Figure FDA0003721597420000021
Figure FDA0003721597420000022
wherein, Δ v jk,i+1 Indicating the air valve cold flow control correction value of the kth building space in the jth building space group at the (i + 1) th stage,
Figure FDA0003721597420000031
represents the average distribution control time t of the jth building space group in the ith stage jk,i Represents the distribution control time, T, of the kth building space in the jth building space group in the ith stage jk,i+1 Represents the indoor differential temperature T of the kth building space in the jth building space group in the (i + 1) th stage jk,i Representing the indoor differential temperature of the kth building space in the jth building space group in the ith stage, n representing the number of the building spaces in the jth building space group, k 1 And b 1 Both represent control parameters, sigma represents a summation sign;
the water valve cold flow control correction value is as follows:
Figure FDA0003721597420000032
Figure FDA0003721597420000033
Figure FDA0003721597420000034
Figure FDA0003721597420000035
Figure FDA0003721597420000036
wherein, Δ u j,i+1 Showing the cold flow control correction value of the water valve of the jth building space group in the (i + 1) th stage, t ave Which represents the total average assigned control time,
Figure FDA0003721597420000037
indicating the average distribution control time of the jth building space group at the ith stage,
Figure FDA0003721597420000038
represents the average indoor differential temperature of the jth building space group at the (i + 1) th stage,
Figure FDA0003721597420000039
represents the average indoor differential temperature, k, of the jth building space group at the ith stage 2 And b 2 All represent control parameters, t jk,i Indicating the distribution control time of the kth building space in the jth building space group in the ith stage, T is jk,i+1 Indicating that the kth building space in the jth building space group is in the u +1 th orderIndoor differential temperature of section, T jk,i The indoor difference temperature of the kth building space in the jth building space group in the ith stage is represented, n represents the number of the building spaces in the jth building space group, and sigma represents a summation symbol.
4. The distribution control method under limited refrigeration capacity conditions based on iterative learning mechanism according to claim 3, characterized in that the refrigeration capacity flow control value comprises: a water valve cold flow control value and/or an air valve cold flow control value;
the cold flow control value of the water valve is as follows:
u j,i+1 ＝u j,i -Δu j,i+1
wherein u is j,u+1 Shows the cold flow control value u of the water valve of the jth building space group at the (i + 1) th stage j,i The flow control value, delta u, of the cold flow of the water valve of the jth building space group in the ith stage is shown j,i+1 The water valve cold flow control correction value of the jth building space group at the (i + 1) th stage is represented; and/or
The cold flow control value of the air valve is as follows:
v jk,i+1 ＝v jk,i -Δv jk,i+1
wherein v is jk,i+1 Showing the cold flow control value v of the air valve of the kth building space in the ith +1 stage in the jth building space group jk,i Shows the air valve cold flow control value delta v of the kth building space in the jth building space group at the ith stage jk,i+1 And indicating the air valve cold flow control correction value of the kth building space in the jth building space group at the (i + 1) th stage.
5. The distribution control method under the limited cold quantity condition based on the iterative learning mechanism as claimed in claim 1, wherein the air-conditioning precooling stage is a stage of starting a building air-conditioning system to regulate and control cold quantity supply shortage when the initial indoor temperature of each building space reaches a first target temperature in advance before each building space is used;
the stage of the building participating in the demand side response refers to the stage of insufficient cold supply when the building participating in the demand side response is regulated and controlled by the building air conditioning system to reach the final indoor temperature from the first target temperature.
6. The allocation control method under the limited refrigeration capacity condition based on the iterative learning mechanism as claimed in claim 1, wherein the allocation control time comprises: precooling time of an air conditioner precooling stage or response time of a stage of building participation in demand side response.
7. The distribution control method under the limited refrigeration capacity condition based on the iterative learning mechanism as claimed in claim 1, wherein a temperature sensor is arranged in each building space, the temperature sensor is connected with the control system, and the temperature sensor is used for detecting the indoor temperature of the building space.
8. The distribution control method under the limited refrigeration capacity condition based on the iterative learning mechanism as claimed in claim 1, wherein the refrigeration capacity flow comprises a cold water flow and/or a cold water flow.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program performs the steps of the method according to any of claims 1 to 8.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.
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