CN115143602B - Distribution control method based on iterative learning mechanism under limited cold condition - Google Patents
Distribution control method based on iterative learning mechanism under limited cold condition Download PDFInfo
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- CN115143602B CN115143602B CN202210752907.8A CN202210752907A CN115143602B CN 115143602 B CN115143602 B CN 115143602B CN 202210752907 A CN202210752907 A CN 202210752907A CN 115143602 B CN115143602 B CN 115143602B
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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
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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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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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
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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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
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- 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
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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
- F24F11/70—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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Abstract
The invention discloses a distribution control method based on an iterative learning mechanism under a limited cold condition, which comprises the following steps: according to the indoor difference temperature of each building space in the stage, the indoor difference temperature in the previous stage and the distribution control time in the previous stage, determining a cold flow control correction value of each building space in the stage; and determining the cold flow control value of each building space in the stage according to the cold flow control value of each building space in the previous stage and the cold flow control correction value of each building space in the stage, and controlling the cold flow reaching each building space. In the stage, according to the cold flow control value, the indoor difference temperature and the distribution control time of the previous stage, the cold flow control value of the stage is calculated by combining the indoor difference temperature of the stage, and the cold flow control value is executed by a control system. With the passage of a time line, each control period is learned and improved through continuous iteration so as to improve control precision and adapt to the change of working conditions, and the uniform distribution of cold energy is ensured.
Description
Technical Field
The invention relates to the technical field of cold energy distribution control, in particular to a distribution control method under a limited cold energy condition based on an iterative learning mechanism.
Background
At present, equipment control of air conditioning systems of large-scale businesses and offices, such as Air Handling Unit (AHU) water valves, variable air conditioning systems (VAV) air valves and the like, is controlled by adopting a feedback controller (such as PID), and the method corrects control output in real time by calculating the error between collected controlled variable data and a set reference value thereof so as to realize feedback control. Feedback control is widely used in industry due to its simple and practical nature.
In the prior art, for large and medium-sized business and office buildings, when the cooling 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, buildings typically start an air conditioning system in advance in the morning prior to work hours to pre-cool the building space so that the indoor temperature has reached a desired set point when workers enter the building at work hours. However, since the air conditioning system is in the pre-cooling period in the morning, the cooling load of the building is very large, but the cooling capacity of the air conditioning system or the cooling capacity provided by the air conditioning system is limited, meanwhile, the flowing resistance of the air conditioning system of each building space is different, and at this time, the air conditioning units corresponding to each building space compete under the traditional feedback control to cause the problem of uneven cooling capacity distribution, so that the time for each building space to reach the indoor temperature set value is uneven, that is, the competing guiding cooling capacity distribution is uneven between each building space under the condition that the cooling capacity is limited and cannot fully meet all building spaces. In addition, when the building participates in the response of the demand side, the air conditioning system generally cannot provide enough cold energy, and meanwhile, the air conditioning units corresponding to each building space can also cause the problem of uneven cold energy distribution due to competition under the traditional feedback control.
Accordingly, the prior art is still in need of improvement and development.
Disclosure of Invention
The invention aims to solve the technical problems that aiming at the defects in the prior art, the invention provides a distribution control method under the condition of limited cooling capacity based on an iterative learning mechanism, and aims to solve the problem that in the prior art, under the condition that the cooling capacity is limited and all building spaces cannot be completely met, the competition conduction cooling capacity distribution is uneven among the building spaces.
The technical scheme adopted for solving the technical problems is as follows:
an allocation control method based on an iterative learning mechanism under a limited cold condition is applied to an air conditioner precooling stage of a building air conditioning system or a stage of building participation demand side response; the building air conditioning system includes:
an air conditioner cold source;
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 valve;
the fan is communicated with the air treatment unit;
a plurality of parallel air valves which are respectively communicated with the air treatment unit and the building space; wherein the air valves are arranged in one-to-one correspondence with the building space;
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 allocation control method comprises the following steps:
acquiring indoor differential temperature of each building space in the stage, and distributing control time of each building space in the previous stage and a cold flow control value of each building space in the previous stage; the indoor difference temperature is the initial indoor temperature of the pre-cooling stage of the air conditioner or the final indoor temperature of the stage of building participation demand side response;
according to the indoor difference temperature of each building space in the stage, the indoor difference temperature of each building space in the previous stage, the distribution control time of each building space in the previous stage, and the cold flow control correction value of each building space in the stage are determined;
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 cold flow reaching each building space according to the cold flow control value of each building space at the stage.
The distribution control method based on the iterative learning mechanism under the limited cold condition, wherein the cold flow control correction value comprises the following steps: the water valve cold flow control correction value and/or the air valve cold flow control correction value;
According to the indoor difference temperature of each building space in the stage, the indoor difference temperature of each building space in the previous stage, the distribution control time of each building space in the previous stage, the cold flow control correction value of each building space in the stage is determined, and the method comprises the following steps:
for each building space group corresponding to each air treatment unit, determining the average allocation control time of the building space group in the last stage according to the allocation control time of each building space in the building space group in the last stage; determining an 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 last stage, the indoor difference temperature of each building space in the building space group at the stage and the indoor difference temperature of each building space in the building space group at the last stage; and/or
For a building space group corresponding to each air processing unit, determining the average allocation control time of the building space group in the previous stage according to the allocation control time of each building space in the building space group in the previous stage, determining the average indoor difference temperature of each building space in the previous stage according to the indoor difference temperature of each building space in the building space group in the previous stage, and determining the average indoor difference temperature of each building space in the current stage according to the indoor difference temperature of each building space in the building space; determining the total average allocation control time of the previous stage according to the average allocation control time of each building space group in the previous stage; and determining a water valve cold flow control correction value of each building space group at the stage according to the total average distribution control time, the average distribution control time of each building space group at the last stage, the average indoor difference temperature of each building space group at the stage and the average indoor difference temperature of each building space group at the last stage.
The distribution control method based on the iterative learning mechanism under the limited cold quantity condition, wherein the air valve cold quantity flow control correction value is as follows:
wherein Deltav jk,i+1 Indicating the air valve cold flow control correction value of the kth building space in the jth building space group in the (i+1) th stage,representing the average allocation control time, t, of the jth building space group in the ith stage jk,i Representing the allocation control time, T, of the kth building space in the jth building space group in the ith stage jk,i+1 Representing 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 building spaces in the jth building space group, k 1 And b 1 All representing control parameters, Σ representing a summation symbol;
the cold flow control correction value of the water valve is as follows:
wherein Deltau j,i+1 Valve cold flow control correction value, t, representing jth building space group at (i+1) th stage ave Indicating the total average allocation control time is indicated,indicating the average allocation control time of the jth building space group in the ith stage, +.>Representing the average indoor differential temperature of the jth building space group at stage i+1,/for the jth building space group >Representing 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 Representing the allocation control time, T, of the kth building space in the jth building space group in the ith stage jk,i+1 Representing 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 differential temperature of the kth building space in the jth building space group at the ith stage is represented, n represents the number of building spaces in the jth building space group, and Σ represents the summation symbol.
The distribution control method based on the iterative learning mechanism under the limited cold condition, wherein the cold flow control value comprises the following steps: 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 Water valve cold flow control value, u, representing j-th building space group at i+1 stage j,i Water valve cold flow control value, deltau, representing the jth building space group at the ith stage j,i+1 Indicating the water valve cold flow control correction value of the j-th building space group in the (i+1) -th stage; and/or
The air valve cold flow control value is as follows:
v jk,i+1 ＝v jk,i -Δv jk,i+1
wherein v is jk,i+1 Air valve cold flow control value, v, representing the ith stage of the kth building space in the jth building space group jk,i Air valve cold flow control value, deltav, representing the ith stage of the kth building space in the jth building space group jk,i+1 And the air valve cold flow control correction value of the kth building space in the jth building space group in the (i+1) th stage is shown.
The method for controlling distribution under the limited cold energy condition based on the iterative learning mechanism comprises the steps that before each building space is used, a building air conditioning system is started to regulate and control the cold energy supply of each building space in advance when the initial indoor temperature reaches a first target temperature;
the stage of building participation demand side response refers to the stage of insufficient cold energy supply when the first target temperature reaches the final indoor temperature in each building space regulated and controlled by the building air conditioning system.
The distribution control method based on the iterative learning mechanism under the limited cold condition, wherein the distribution control time comprises the following steps: pre-cooling time of an air-conditioning pre-cooling stage or response time of a stage in which a building participates in a demand side response.
According to the distribution control method based on the iterative learning mechanism under the limited cold energy condition, temperature sensors are arranged in each building space and are connected with the control system, and the temperature sensors are used for detecting the indoor temperature of the building space.
The distribution control method based on the iterative learning mechanism under the limited cold condition, wherein the cold flow comprises cold flow and/or cold flow.
A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of any of the methods described above when the computer program is executed.
A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the method as claimed in any of the preceding claims.
The beneficial effects are that: and in the period of the stage, according to the cold flow control value, the indoor difference temperature and the distribution control time of the previous stage, the cold flow control value of the stage is calculated by combining the indoor difference temperature of the stage, and the cold flow control value is executed through a control system. According to the invention, as the time line is shifted, the control set value is continuously improved and updated through continuous iterative learning in each control period so as to improve the control precision and adapt to the change of working conditions, and the uniform cold distribution is ensured.
Drawings
Fig. 1 is a schematic view of a construction air conditioning system according to the present invention.
FIG. 2 is a flow chart of an allocation control method under limited cold conditions based on an iterative learning mechanism in the present invention.
Fig. 3 is a graph showing the temperature change of each building space in the pre-cooling stage of the air conditioner under the control of the conventional method (a) and the method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear and clear, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1-3, the present invention provides some embodiments of a building air conditioning system.
As shown in fig. 1, the building air conditioning system of the present invention includes:
an air conditioner cold source;
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 valve;
the fan is communicated with the air treatment unit;
a plurality of parallel air valves which are respectively communicated with the air treatment unit and the building space; wherein the air valves are arranged in one-to-one correspondence with the building space;
the control system is connected with the water valve and the air valve;
Wherein the control system is used for controlling the cold flow reaching each building space.
It is worth to say that, the air-conditioning cold source can be replaced by an 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 treatment 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 treatment unit, the fan and the building space, and the air valve controls the flow of cold air in the cold air channel, and 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 treatment 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 treatment 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 describes an air conditioning cold source as an example.
The air conditioner cold source refers to a part for generating cold energy in the air conditioner, and can be a water chilling unit, the air processing unit refers to a part for generating cold energy conduction for cold water and air, the fan refers to a part for driving air to move, the control system refers to a system for controlling the cold energy flow reaching each building space, the water valve refers to a valve body for controlling the flow of the cold energy, and the air valve refers to a valve body for controlling the flow of the cold energy. The air conditioning cold source is communicated with the air treatment unit through a cold water channel, and the air treatment unit is communicated with the fan and the building space through a cold water channel, so that 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 pre-cooling stage of the air conditioner and the stage of the response of the building participation demand side, the cooling capacity supply is insufficient, and in order to ensure that the temperature adjustment and change conditions of all building spaces are similar or the same, the size and the position of each building space and the flow resistance in the cooling capacity conveying process need to be considered, so that the cooling capacity conveyed for each building space is different, and the cooling capacity flow value conveyed by each building space is specifically adjusted. For example, building spaces with large space or large flow resistance require large cold flow; building spaces with smaller spaces or small flow resistance require smaller cold flow, and the changes in the target temperatures (ranges) reached by the respective building spaces are similar or identical.
It will be appreciated that each air handling unit has a plurality of building spaces, and that these building spaces may be formed into building space groups, with each water valve controlling the flow of cold to the corresponding building space group. Each building space group is internally provided with a plurality of building spaces which are 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 the indoor temperature of the building space.
Specifically, temperature sensors are disposed in the respective building spaces, and the temperature sensors are used to detect the air temperature in the building spaces (i.e., to detect the indoor differential temperature as needed), so that the indoor initial temperature of the building spaces can be detected before the building air conditioning system is turned on, and it is noted that the indoor initial temperature may be different due to the different daily cooling loads. The indoor initial temperatures of the building spaces may also be different in the same day. The 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 at the end of the demand side response phase.
Thus T j,i Representing the indoor differential temperature of the jth building space group at the ith stage, the indoor differential temperatures of all building spaces at 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 j-th building space group, T jk,i Representing the indoor differential temperature of the kth building space in the jth building space group at the ith stage. If entering the pre-cooling stage of the air conditioner, T jk,i Representing an initial indoor temperature of a kth building space in a jth building space group at an ith stage; if the phase of building participation demand side response is entered, T jk,i Indicating the final indoor temperature of the kth building space in the jth building space group at the ith stage.
The indoor differential temperatures of all building space groups at stage i+1 can be represented as 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 building space groups 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 j-th building space group, T jk,i+1 Representing the indoor differential temperature of the kth building space in the jth building space group at the (i+1) th stage.
In a preferred implementation manner of the embodiment of the present invention, as shown in fig. 1, the pre-cooling stage of the air conditioner refers to a stage of starting the air conditioning system of the building to adjust and control the cooling capacity of each building to be insufficient when the initial indoor temperature reaches the first target temperature in advance before each building is used;
the stage of building participation demand side response refers to the stage of insufficient cold energy supply when the first target temperature reaches the final indoor temperature in each building space regulated and controlled by the building air conditioning system.
Specifically, before the building is used in each stage, that is, before a worker works, 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 the pre-cooling stage of the air conditioner is completed. It can be understood that in the pre-cooling stage of the air conditioner, the air conditioner cold source cannot provide enough cold energy to enable the temperature of each building space to be regulated and controlled, but the cold energy is conveyed for a period of time, and the period of time is in the pre-cooling stage of the air conditioner.
If the temperature change conditions are different when the precooling of each building space is finished, the duration of the precooling stage of the whole air conditioner is longer, and the building air conditioning system needs to be started in advance, so that the waste of electric energy is also caused. If the temperature change conditions of the pre-cooling of each building space are similar or the same, the duration of the pre-cooling stage of the whole air conditioner is shortened, so that the aim of saving energy is fulfilled.
As shown in fig. 3, under the conventional control, each building space is cooled down at a pre-cooling stage for about 1.55 hours to ensure that all building spaces reach 24 ℃ (i.e., the first target temperature). After the distribution control by the method provided by the invention, the cooling of all the building spaces is basically and synchronously carried out in the pre-cooling stage, and all the building spaces reach 24 ℃ (namely the first target temperature) and are required to be about 1.35 hours.
Since the power limitation/cold limitation is required at the time of the power reduction, the first target temperature needs to be adjusted to the final indoor temperature to reduce the consumption of electric power. The first target temperature is lower than the final indoor temperature when the building air conditioning system is refrigerating. When energy is reduced, the cold energy supply is insufficient, and if the change condition that the temperature rise of each building space is completed is different, the temperature of each building space in the whole building participation demand side response stage is not completely the same (some building spaces have higher temperature and some building spaces have lower temperature). If the temperature rise of each building space is similar or the same, the temperature of each building space in the response stage of the whole building participation demand side is similar or the same.
It is emphasized that the temperature rise process rises to the end of the indoor temperature in the demand side response phase. Under the traditional control, the temperature of part of the building space is higher in the temperature rising process of the demand side response stage, and the temperature of part of the building space is lower, so that the temperature difference of each building space is larger. After the distribution control of the method, the temperature rise of each building space is basically synchronous in the response stage of the demand side, and all the building spaces synchronously reach the final indoor temperature.
The building is usually pre-cooled in the morning by opening the air conditioning system earlier than work hours so that the indoor temperature has reached the desired set point when the staff enters the building at work hours. However, since the air conditioning system is in the pre-cooling period in the morning, the cooling load of the building is very large, but the cooling capacity or the cooling capacity provided by the air conditioning system is limited, meanwhile, the flowing 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 can compete under the traditional feedback control to cause the problem of uneven cooling capacity distribution, thereby causing uneven time for each building space to reach the indoor temperature set value. In order to make the building space with the slowest precooling speed reach the temperature set value, a longer precooling time is usually reserved, and the building needs to start the water chilling unit for precooling in advance for a longer time, which also wastes a great amount of energy. On the other hand, when the building participates in the demand side response, the air conditioning system cannot provide enough cold energy generally, and at the moment, the air conditioning units corresponding to all building spaces can also cause the problem of uneven cold energy distribution due to competition under the traditional feedback control, so that the temperature rise amplitude of all building spaces is uneven under the condition of demand response, and the variation difference of comfort level of all the spaces is large, so that the success and failure of the demand response are influenced.
In a preferred implementation of the embodiment of the present invention, as shown in fig. 1, the cold flow includes a cold flow and/or a cold flow.
Specifically, the cold flow is divided into a cold flow and/or a cold flow, and only the cold flow can be adjusted, or both the cold flow and the cold flow can be adjusted.
Based on any one of the above embodiments, the present invention further provides a preferred embodiment of a method for controlling allocation under a limited cooling capacity condition based on an iterative learning mechanism:
as shown in fig. 1 and fig. 2, the allocation control method based on the iterative learning mechanism under the limited cold condition according to the embodiment of the invention includes the following steps:
step S100, obtaining indoor difference temperature of each building space in the stage, indoor difference temperature of each building space in the previous stage, distribution control time of each building space in the previous stage, and cold flow control value of each building space in the previous stage.
Specifically, the stage refers to an air conditioner pre-cooling stage or a stage of building participation demand side response, and the data of the two stages are respectively counted and calculated because the two stages are controlled in different manners. The pre-cooling stage of the air conditioner is usually a stage which occurs every working day, and the stage of the building participating in the demand side response is usually a stage which occurs during the peak period of electricity consumption or the period of lack of electricity. It is emphasized that the air conditioning pre-cooling stage and the building participation in the demand side response stage are independently adjusted. Therefore, the pre-cooling stage of the air conditioner takes a day as a unit to obtain the initial indoor temperature in the morning of the working day, at this time, the building air conditioning system is not started, and because the outdoor temperature is usually increased, 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 to adjust the indoor differential temperature of the building space to the first target temperature before working. The building takes part in the phase of the demand side response and takes the number of phases as a unit, and the final indoor temperature of the building space is obtained each time the phase of the demand side response is ended, and the temperature of the building space is usually the first target temperature when the phase of the demand side response begins because the air conditioning precooling phase has already been passed at this time.
When the temperature of the building space in the stage is regulated and controlled, the indoor difference temperature in the stage needs to be obtained, the indoor difference temperature in the previous stage, the distribution control time in the previous stage and the cold flow control value in the previous stage. These parameters are recorded separately in terms of building space. The present stage is denoted as the (i+1) th stage, the last stage is denoted as the (i) th stage, and the indoor differential temperature of all building spaces in the (i) th stage can be expressed 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 j-th building space group, T jk,i Representing the indoor differential temperature of the kth building space in the jth building space group at the ith stage. If entering the pre-cooling stage of the air conditioner, T jk,i Representing an initial indoor temperature of a kth building space in a jth building space group at an ith stage; if the phase of building participation demand side response is entered, T jk,i Indicating the final indoor temperature of the kth building space in the jth building space group at the ith stage.
The indoor differential temperature of all 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 j-th building space group, T j,i+1 Representing the indoor differential temperature, T, of the jth building space group at the (i+1) th stage jk,i+1 Representing the indoor differential temperature of the kth building space in the jth building space group at the (i+1) th stage.
All building spaces are at the firstThe allocation control time of i phases can be expressed 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 j-th building space group, t j,i Indicating the allocation control time, t, of the jth building space in the ith stage jk,i Indicating the control time of the allocation of the kth building space in the jth building space group at the ith stage. If entering the pre-cooling stage of the air conditioner, t jk,i Representing the precooling time of the kth building space in the jth building space group in the ith stage; if the phase of building participation demand side response is entered, t jk,i Representing the response time of the kth building space in the jth building space group at the ith stage.
The allocation control time of all 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 j-th building space group, t j,i+1 Representing the allocation control time, t, of the jth building space group in the (i+1) th stage jk,i+1 Indicating the control time of the allocation of the kth building space in the jth building space group at the (i+1) th stage.
The cold flow control values of all water valves at 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 valvesQuantity u j,i And the control value of the cold flow of the water valve corresponding to the j-th building space group in the i-th stage is shown.
The cold flow control values of all dampers at the ith stage can be expressed as 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 building space groups in the building, n represents the number of building spaces in the jth building space group, namely the number of air valves in the air valve group corresponding to the jth building space group, v j,i Air valve cold flow control value, v of air valve group corresponding to jth building space group in ith stage jk,i And the valve cooling capacity flow control value of the kth valve in the valve bank corresponding to the jth building space group in the ith stage is shown.
Specifically, the cold flow control value is the cold flow control value reaching each building space, the cold flow control value can be adjusted through the control system, the opening of the valve body can be controlled through the control system, the valve body can be a water valve and/or an air valve, and then the cold flow control value of each building space at the last stage can be expressed as [ u ] i ,v i ]。
The allocation control time includes: pre-cooling time of an air-conditioning pre-cooling stage or response time of a stage in which a building participates in a demand side response. Since the two stages are independent of each other, the time of the two stages is also independent of each other, and is divided into a pre-cooling time and a response time.
Step 200, determining a cold flow control correction value of each building space in the stage according to the indoor difference temperature of each building space in the stage and the indoor difference temperature of each building space in the previous stage and the distribution control time of each building space in the previous stage.
Specifically, since the parameters of the present stage are not exactly the same as those of the previous stage, and the control of the cold flow rate of the previous stage is not performedThe method is characterized in that the method is optimized, the cold flow of the stage is corrected on the basis of the parameter of the previous stage, and specifically, the cold flow control correction value of the stage is determined by the indoor difference temperature of the stage, the indoor difference temperature of the previous stage and the distribution control time of the previous stage. The valve cold flow control correction values for all valves at stage i+1 can be expressed as a set Deltau 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, deltau j,i+1 And the valve cold flow control value of the j-th building space group in the (i+1) th stage is shown.
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, n represents the number of building spaces in the jth building space group, namely the number of air valves in the air valve group corresponding to the jth building space group, and Deltav j,i Air valve cold flow control correction value Deltav of air valve group corresponding to jth building space group in ith stage jk,i And the air valve cold flow control correction value of the kth air valve in the ith stage in the air valve group corresponding to the jth building space group is shown.
It should be noted that, for each building space group, the water valve cold flow control correction value of the building space group at the present stage, that is, Δu, is determined according to the indoor differential temperature of the building space group at the present stage and the indoor differential temperature of the previous stage, and the distribution control time of all building space groups at the previous stage j,i+1 Is according to T jk,i+1 、T jk,i T jk,i And (3) determining.
For each building space, determining an air valve cooling capacity flow control correction value of the building space at the stage according to the indoor difference temperature of the building space at the stage and 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, namely, deltav jk,i+1 Is according to T jk,i+1 、T jk,i T jk,i And (3) determining.
The step S200 specifically includes:
step S210, determining the average allocation control time of each building space group at the last stage according to the allocation control time of each building space in the building space group at the last stage aiming at the building space group corresponding to each air treatment unit; and determining an 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 last stage, the indoor difference temperature of each building space in the building space group at the stage and the indoor difference temperature of each building space in the building space group at the last stage.
Specifically, for each building space group (for example, the j-th building space group), the control time t is controlled according to the allocation of each building space in the building space group at the previous stage jk,i Determining the average allocation control time of the building space group in the last stageThen control time according to the average allocation +.>The allocation control time t of each building space in the building space group at the last 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 last stage jk,i Determining the wind of each building space in the building space group at the stageValve cold flow control correction value Deltav jk,i+1 。
Specifically, the air valve cold flow control correction value is as follows:
wherein Deltav jk,i+1 Indicating the air valve cold flow control correction value of the kth building space in the jth building space group in the (i+1) th stage,representing the average allocation control time, t, of the jth building space group in the ith stage jk,i Representing the allocation control time, T, of the kth building space in the jth building space group in the ith stage jk,i+1 Representing 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 building spaces in the jth building space group, k 1 And b 1 All represent control parameters, Σ represents a summation symbol.
It will be appreciated that the dampers of each building space group are independently controlled. The opening degree of one air valve is adjusted, the cold flow of the building space group where the air valve is positioned is not influenced, the cold flow of one air valve of the building space group is increased, and the cold flow of other air valves is correspondingly reduced.
Step S220, for each building space group corresponding to each air processing unit, determining the average allocation control time of the building space group in the previous stage according to the allocation control time of each building space in the building space group in the previous stage, determining the average indoor difference temperature of each building space in the previous stage according to the indoor difference temperature of each building space in the building space group in the previous stage, and determining the average indoor difference temperature of each building space in the current stage according to the indoor difference temperature of each building space in the building space; determining the total average allocation control time of the previous stage according to the average allocation control time of each building space group in the previous stage; and determining a water valve cold flow control correction value of each building space group at the stage according to the total average distribution control time, the average distribution control time of each building space group at the last stage, the average indoor difference temperature of each building space group at the stage and the average indoor difference temperature of each building space group at the last stage.
Specifically, for each building space group (for example, the j-th building space group), the control time t is controlled according to the allocation of each building space in the building space group at the previous stage jk,i Determining the average allocation control time of the building space group in the last stageThen according to the indoor difference temperature T of the previous stage of each building space in the building space group jk,i Determining the average indoor difference temperature of the building space group in the last stage +.>According to the indoor difference temperature T of each building space in the building space at the stage jk,i+1 Determining the average indoor difference temperature of the building space at this stage +.>Control time is controlled according to the average allocation of each building space group in the last stage>Determining the total average allocation control time t of the previous stage ave The method comprises the steps of carrying out a first treatment on the surface of the According to the total average distribution control time t ave Average allocation control time of each building space group in last stage +.>Average indoor difference temperature of each building space group at this stage +.>And average indoor difference temperature of each building space group in the last stage +.>Determining the valve cold flow control correction value delta u of each building space group at the present stage j,i+1 。
Specifically, the water valve cold flow control correction value is as follows:
/>
wherein Deltau j,i+1 Valve cold flow control correction value, t, representing jth building space group at (i+1) th stage ave Indicating the total average allocation control time is indicated,indicating the average allocation control time of the jth building space group in the ith stage, +. >Representing the average indoor differential temperature of the jth building space group at stage i+1,/for the jth building space group>Representing 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 Representing the allocation control time, T, of the kth building space in the jth building space group in the ith stage jk,i+1 Representing 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 differential temperature of the kth building space in the jth building space group at the ith stage is represented, n represents the number of building spaces in the jth building space group, and Σ represents the summation symbol.
It can be understood that the cold flow 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 of the building space group corresponding to the water valve is increased, and then the cold flow of the building space in the building space group is increased. The cold flow of the rest of the building space groups is reduced, and the cold flow of the building spaces in the rest of the building space groups is also reduced.
And step S300, 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.
Specifically, the cold flow control values of all water valves at 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 control value of the cold flow of the water valve corresponding to the j-th building space group in the (i+1) -th stage is shown.
Cooling capacity of all air valves in (i+1) th stageThe flow control value may be represented as 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 building space groups in the building, n represents the number of building spaces in the jth building space group, namely the number of air valves in the air valve group corresponding to the jth building space group, v j,i+1 Air valve cold flow control value, v of air valve group corresponding to jth building space group in (i+1) th stage jk,i+1 And the valve cooling capacity flow control value of the kth valve in the valve bank corresponding to the jth building space group in the (i+1) th stage is shown. The control value of the cold flow 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 Water valve cold flow control value, u, of water valve corresponding to j building space group in the (i+1) th stage j,i Indicating the valve cold flow control value, deltau, of the valve corresponding to the j-th building space group at the i-th stage j,i+1 And the water valve cold flow control correction value of the water valve corresponding to the j-th building space group in the (i+1) -th stage is shown.
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 Representing the air valve cold flow control value, v of the kth air valve in the (i+1) stage in the air valve group corresponding to the jth building space group jk,i The valve cold flow control value, deltav of the kth valve in the valve bank corresponding to the jth building space group in the ith stage is shown jk,i+1 And the air valve cold flow control correction value of the kth building space in the jth building space group in the (i+1) th stage is shown.
And step S400, controlling the cold flow reaching each building space according to the cold flow control value of each building space in the stage.
Specifically, after the cooling flow control value of each building space at the present stage is obtained, the cooling flow of the water valve and/or the air valve corresponding to each building space is adjusted according to the cooling flow control value of each building space at the present stage. The opening degree of the valve body can be regulated.
When the building cooling load is large and the cooling capacity provided by the air conditioning system is insufficient, the control framework based on the iterative learning mechanism is adopted, and in the current control period, the control set value of the current control period is calculated and obtained through the controller according to the control set value of the previous period and the related initial environment data of the building space acquired by the current control period sensor. Meanwhile, the control set value of the current control period is used for learning the control decision adjustment of the next control period, and as the time line is passed, the control set value is continuously improved and updated in each control period through continuous iterative learning so as to improve the control precision and adapt to the change of working conditions.
For large and medium-sized business and office buildings, when the cooling load is large and the cooling capacity provided by the air conditioning system is insufficient, such as an air conditioning precooling stage in the morning and a stage of building participation in demand side response. By adopting the limited air conditioner cold distribution control method based on the iterative learning mechanism, on one hand, the building pre-cooling time can be reduced, the energy consumption in the building pre-cooling stage can be reduced, and on the other hand, the difference of the change of each space comfort degree can be reduced when the building participates in the demand side response so as to promote the success of the building pre-cooling stage and ensure the effect of the building pre-cooling stage.
Specifically, as shown in fig. 1, for large and medium-sized business and office buildings, cold water from an air conditioning cold source (such as a water chiller) is distributed to each air processing unit through a water valve, air in the air processing units conducts cold water with cold water, and cooled air reaches a building space through the distribution of a fan and a fan valve to realize refrigeration. The limited air conditioner cold distribution control method based on the iterative learning mechanism provided by the invention relies on a control system to determine a control decision quantity, for example, the control system can control the opening degree or the water quantity set value of a water valve at the side of an Air Handling Unit (AHU), and the control system can also control the opening degree or the air quantity set value of an air valve, so that the reasonable distribution of the limited air conditioner cold is realized. For large and medium-sized business and office buildings, when the cooling load is large and the cooling capacity provided by the air conditioning system is insufficient, such as an air conditioning precooling stage in the morning and a stage of building participation in demand side response. The invention provides that in the current control period (i-th round of control period), a control system calculates and obtains the control decision quantity of the current control period (i.e. the opening degree of a water valve or the setting value of water quantity and the opening degree of an air valve or the setting value of air quantity according to the control decision quantity (i-1 th round of control period) executed in the previous round and by combining the related air conditioning equipment and building space data acquired by a sensor of the current control period. Meanwhile, the control decision quantity of the current control period (i-th round of control period) is provided for the next round of control period (i+1th round of control period) to learn, and the control decision quantity is repeatedly learned and determined in each control period continuously along with the time line.
According to the control algorithm, the water valve/air valve opening control quantity (or the flow control set value) corresponding to each building space in the (i+1) th stage can be obtained. The control algorithm of the invention is repeatedly used in the pre-cooling stage of the building in each stage, the approximate optimal distribution of the limited air conditioner cold quantity can be realized, and the algorithm can adapt to and follow the change of working conditions along with the time line, so as to achieve the aim of the quasi-optimal control. Each building space can reach the indoor temperature set value in a near-uniform manner, so that the pre-cooling time of the building is reduced, and the energy consumption of the pre-cooling stage of the building is reduced.
The limited cold energy distribution control method based on the iterative learning mechanism provided by the invention can be programmed into a controller or a server of a building automation system. When the building is heavily loaded and the air conditioning system is providing insufficient cooling, such as in the pre-cooling stage of the air conditioner in the morning and the electricity/cold limiting stage of the building participating in the demand side response, the limited cooling capacity distribution control program of the building automation system will temporarily take over the water valve/air valve (or flow set point) feedback control loop, and temporarily replace the feedback control set point with the limited cooling capacity distribution control set point. And after the precooling or demand side response phase is finished, the feedback control is restored. By applying the control strategy, on one hand, the pre-cooling time of the building can be reduced, the energy consumption of the pre-cooling stage of the building can be reduced, and on the other hand, the variation (or reduction) difference of the comfort level of each space can be reduced when the building participates in the response of the demand side, the quasi-optimal distribution control of the cold capacity of the limited air conditioner of the building is realized, and the acceptable response interval of the demand side is prolonged, so that the expected response control of the demand side is successfully completed.
Based on the distribution control method based on the iterative learning mechanism under the limited cold condition described in any one of the embodiments, the invention further provides a preferred embodiment of the computer device:
the computer device 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 in the stage, and distributing control time of each building space in the previous stage and a cold flow control value of each building space in the previous stage; the indoor difference temperature is the initial indoor temperature of the pre-cooling stage of the air conditioner or the final indoor temperature of the stage of building participation demand side response;
according to the indoor difference temperature of each building space in the stage, the indoor difference temperature of each building space in the previous stage, the distribution control time of each building space in the previous stage, and the cold flow control correction value of each building space in the stage are determined;
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 cold flow reaching each building space according to the cold flow control value of each building space at the stage.
Based on the distribution control method under the limited cold energy condition based on the iterative learning mechanism described in any one of the above embodiments, the present invention further provides a preferred embodiment of a computer readable storage medium:
a computer readable storage medium of an embodiment of the present invention has stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring indoor differential temperature of each building space in the stage, and distributing control time of each building space in the previous stage and a cold flow control value of each building space in the previous stage; the indoor difference temperature is the initial indoor temperature of the pre-cooling stage of the air conditioner or the final indoor temperature of the stage of building participation demand side response;
according to the indoor difference temperature of each building space in the stage, the indoor difference temperature of each building space in the previous stage, the distribution control time of each building space in the previous stage, and the cold flow control correction value of each building space in the stage are determined;
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 cold flow reaching each building space according to the cold flow control value of each building space at the stage.
It is to be understood that the invention is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.
Claims (10)
1. The distribution control method based on the iterative learning mechanism under the condition of limited cold energy is characterized by being applied to an air conditioning precooling stage of a building air conditioning system or a stage of building participation demand side response; the building air conditioning system includes:
an air conditioner cold source;
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 valve;
the fan is communicated with the air treatment unit;
a plurality of parallel air valves which are respectively communicated with the air treatment unit and the building space; wherein the air valves are arranged in one-to-one correspondence with the building space;
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 allocation control method comprises the following steps:
acquiring indoor differential temperature of each building space in the stage, and distributing control time of each building space in the previous stage and a cold flow control value of each building space in the previous stage; the indoor difference temperature is the initial indoor temperature of the pre-cooling stage of the air conditioner or the final indoor temperature of the stage of building participation demand side response;
according to the indoor difference temperature of each building space in the stage, the indoor difference temperature of each building space in the previous stage, the distribution control time of each building space in the previous stage, and the cold flow control correction value of each building space in the stage are determined;
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 cold flow reaching each building space according to the cold flow control value of each building space at the stage.
2. The distribution control method under limited cold condition based on iterative learning mechanism according to claim 1, wherein the cold flow control correction value includes: the water valve cold flow control correction value and/or the air valve cold flow control correction value;
according to the indoor difference temperature of each building space in the stage, the indoor difference temperature of each building space in the previous stage, the distribution control time of each building space in the previous stage, the cold flow control correction value of each building space in the stage is determined, and the method comprises the following steps:
for each building space group corresponding to each air treatment unit, determining the average allocation control time of the building space group in the last stage according to the allocation control time of each building space in the building space group in the last stage; determining an 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 last stage, the indoor difference temperature of each building space in the building space group at the stage and the indoor difference temperature of each building space in the building space group at the last stage; and/or
For a building space group corresponding to each air processing unit, determining the average allocation control time of the building space group in the previous stage according to the allocation control time of each building space in the building space group in the previous stage, determining the average indoor difference temperature of each building space in the previous stage according to the indoor difference temperature of each building space in the building space group in the previous stage, and determining the average indoor difference temperature of each building space in the current stage according to the indoor difference temperature of each building space in the building space; determining the total average allocation control time of the previous stage according to the average allocation control time of each building space group in the previous stage; and determining a water valve cold flow control correction value of each building space group at the stage according to the total average distribution control time, the average distribution control time of each building space group at the last stage, the average indoor difference temperature of each building space group at the stage and the average indoor difference temperature of each building space group at the last stage.
3. The distribution control method based on the iterative learning mechanism under the limited cooling capacity condition according to claim 2, wherein the air valve cooling capacity flow control correction value is:
Wherein Deltav jk,i+1 Indicating the air valve cold flow control correction value of the kth building space in the jth building space group in the (i+1) th stage,representing the average allocation control time, t, of the jth building space group in the ith stage jk,i Representing the allocation control time, T, of the kth building space in the jth building space group in the ith stage jk,i+1 Representing 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 building spaces in the jth building space group, k 1 And b 1 All representing control parameters, Σ representing a summation symbol;
the cold flow control correction value of the water valve is as follows:
wherein Deltau j,i+1 Valve cold flow control correction value, t, representing jth building space group at (i+1) th stage ave Indicating the total average allocation control time is indicated,indicating the average allocation control time of the jth building space group at the ith stage,representing the average indoor differential temperature of the jth building space group at stage i+1,/for the jth building space group>Representing 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 Representing the allocation control time, T, of the kth building space in the jth building space group in the ith stage jk,i+1 Representing the indoor differential temperature, T, of the kth building space in the jth building space group in the (u+1) th stage jk,i The indoor differential temperature of the kth building space in the jth building space group at the ith stage is represented, n represents the number of building spaces in the jth building space group, and Σ represents the summation symbol.
4. The allocation control method under limited cold condition based on iterative learning mechanism according to claim 3, wherein the cold 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 Water valve cold flow control value, u, representing j-th building space group at i+1 stage j,i Water valve cold flow control value, deltau, representing the jth building space group at the ith stage j,i+1 Indicating the water valve cold flow control correction value of the j-th building space group in the (i+1) -th stage; and/or
The air valve cold flow control value is as follows:
v jk,i+1 ＝v jk,i -Δv jk,i+1
wherein v is jk,i+1 Air valve cold flow control value, v, representing the ith stage of the kth building space in the jth building space group jk,i Air valve cold flow control value, deltav, representing the ith stage of the kth building space in the jth building space group jk,i+1 And the air valve cold flow control correction value of the kth building space in the jth building space group in the (i+1) th stage is shown.
5. The method for controlling distribution under limited cooling capacity based on iterative learning mechanism according to claim 1, wherein the pre-cooling stage of air conditioner is a stage of pre-controlling insufficient cooling capacity supply of each building space when the initial indoor temperature reaches the first target temperature by starting the building air conditioning system before each building space is used;
the stage of building participation demand side response refers to the stage of insufficient cold energy supply when the first target temperature reaches the final indoor temperature in each building space regulated and controlled by the building air conditioning system.
6. The allocation control method under the limited cold condition based on the iterative learning mechanism according to claim 1, wherein the allocation control time includes: pre-cooling time of an air-conditioning pre-cooling stage or response time of a stage in which a building participates in a demand side response.
7. The distribution control method based on the iterative learning mechanism under the limited cold condition according to 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 limited cold condition based on iterative learning mechanism according to claim 1, wherein the cold flow comprises cold flow and/or cold flow.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 8 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 8.
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