Distributed control strategy based on event-triggered mechanism for heterogeneous variable-frequency air-conditioning clusters

Abstract

This invention discloses a distributed control strategy for heterogeneous variable-frequency air conditioner clusters based on an event-triggered mechanism. It constructs a multi-layered control architecture based on demand response, comprehensively considering factors such as scheduling objectives, user experience, and communication resources. The invention designs a strategy for calculating air conditioner scheduling capacity and determines a power allocation principle based on scheduling capacity, avoiding uneven resource allocation. It also develops a distributed control protocol that achieves user comfort sharing while achieving the scheduling target power and ensures that indoor temperatures do not exceed user tolerance levels. An event-triggered mechanism is introduced to enable scheduling to be completed within a specified timeframe, effectively reducing the communication burden imposed by the actual number of air conditioners and improving communication efficiency.

Description

Technical Field

[0001] The present invention belongs to the field of microgrid intelligent scheduling, and specifically relates to a distributed control strategy based on an event triggering mechanism for a heterogeneous variable frequency air conditioning cluster. Background Art

[0002] Regulation reserve is a key strategy designed to address unpredictable changes in the power system, such as sudden generator failures or sudden load fluctuations, to ensure stable operation. Its core goal is to quickly provide regulation capacity to respond to these emergencies and prevent problems caused by imbalances in power supply and demand. Conventional large-scale generators are typically used to provide regulation reserve, ensuring that the power system can effectively respond to various challenges and maintain reliable and stable power supply.

[0003] In recent years, the scarcity of electricity resources has become increasingly prominent, posing a greater challenge to the demand for regulating reserve capacity. However, traditional large-scale generators may face the challenge of not being able to meet the demand for regulating reserve. Therefore, on the international stage, emphasizing photovoltaic and wind power generation, while reducing dependence on traditional fuels such as oil, has become a crucial issue. Integrating renewable energy generation in microgrid systems can significantly improve the efficiency of providing regulating reserve. However, the instability of renewable energy can also lead to power fluctuations, necessitating the urgent need to find new regulatory vehicles to provide regulating reserve.

[0004] Currently, many studies have shifted their focus from power generation to consumption, using demand response to achieve dispatch targets by adjusting the power of consumer loads. The large number of consumer loads and the rapid development of communication technology have provided the power system with flexible regulation reserves to cope with power fluctuations.

[0005] In previous studies, centralized control methods have been widely used to manage demand response for large-scale electricity loads. A control center acts as an aggregator to send scheduling signals to all loads participating in the demand response. However, this method has relatively high requirements on computing performance. Compared with the communication burden of centralized scheduling, distributed communication structures are more suitable for completing large-scale scheduling tasks, which can reduce communication costs and improve system flexibility. Therefore, the present invention will use the demand side to meet scheduling tasks with distributed communication loads.

[0006] To more efficiently manage power fluctuations, the controlled loads should be large in number, cost-effective, and reliable, without impacting user needs. To address these challenges, this invention utilizes variable-frequency air conditioners as control targets. These control targets offer significant advantages: a large number of units, resulting in significant control potential; slight fluctuations in power consumption will not cause noticeable user discomfort; and the short physical distance between adjacent air conditioners facilitates communication network stability. By treating air conditioners as demand-side loads and enabling distributed scheduling, this approach effectively maintains the supply-demand balance of the power system.

[0007] In practical applications, distributed scheduling using air conditioners often requires continuous data sampling and computation. Due to the large number of air conditioners, this can lead to frequent communication and ultimately cause network congestion. Recently, event-triggered mechanisms have received considerable attention in the field of multi-agent collaborative control. In this mechanism, computation or communication occurs only when certain conditions are met, making communication more flexible and improving scheduling efficiency.

[0008] As mentioned earlier, leveraging demand response for air conditioning to provide regulation reserves within power systems is a novel topic. The communication structure and method, among other factors, influence the effectiveness of dispatch. Furthermore, to make this research more relevant to practical engineering applications, further research and targeted solutions are needed, considering aspects such as allocation fairness, parameter heterogeneity, and user comfort. Summary of the Invention

[0009] To address the aforementioned issues and factors previously overlooked, this paper designs a distributed architecture that, while maintaining a balanced supply and demand in the power system, accounts for parameter heterogeneity, achieving fair allocation of dispatch power and shared user comfort while also ensuring that indoor temperatures do not exceed users' tolerances. Furthermore, to effectively improve communication efficiency, an event-triggered mechanism is introduced to ensure that the distributed communication system converges and completes dispatch within a specified timeframe without wasting communication resources. This approach is more practical and significantly reduces the probability of network congestion.

[0010] The specific technical solutions of the present invention are:

[0011] A distributed control strategy for a heterogeneous variable-frequency air conditioning cluster based on an event-triggered mechanism includes the following steps:

[0012] S1. Set the parameters of the control system; initialize the comfort level of each user at the initial moment l m,i And calculate the power of the corresponding air conditioner The number of iterations k is initialized to k=0;

[0013] S2, the communication topology connection relationship between the air conditioners in all rooms of the mth building is represented by a matrix Represented by; the Laplace matrix of the communication topology between air conditioners is expressed as Indicates that the neighboring air conditioner of the i-th air conditioner in the communication topology is Indicates that the number of neighbors of the i-th air conditioner is d i Indicates; the Nth m The air conditioner acts as an intermediary air conditioner to communicate with the upper dispatch center and adopts matrix Indicates that each air conditioner in the mth building is connected to the Nth m The communication connection relationship of the air conditioners;

[0014] S3. At the initial moment, the dispatch center calculates the sum of the power of all air conditioners in the building according to the data uploaded by each intermediary air conditioner. Calculate the difference ΔP and calculate the value and will Sent to each intermediary air conditioner;

[0015] S4, all air conditioners in the mth building according to Calculating self-regulation ability

[0016] S5. Let the estimated adjustment capacity of the i-th air conditioner in the m-th building be set up is the trigger value; between 0 and t * During this period, all air conditioners trigger consistency algorithm updates through events

[0017] S6, the intermediary air conditioner in building m is at t * Calculate the sum of the regulating capacities of all air conditioners in the mth building at all times The data is then uploaded to the upper dispatch center, and the intermediate air conditioners in other buildings perform the same operation.

[0018] S7, in t * At this moment, the upper dispatch center sends the power ΔPm that each building should dispatch to the intermediary air conditioner based on the Cm uploaded by each intermediary air conditioner, and the intermediary air conditioner calculates the target power of this round of dispatch

[0019] S8. Set the comfort level of the i-th air conditioner in the m-th building to set up is the trigger value; in kt * to kt * +ΔT l During this period, all air conditioners are updated through event-triggered consistency tracking algorithms

[0020] S9, in kt * +ΔT l At this moment, all air conditioners are based on the current Calculate the corresponding power estimate and set temperature value

[0021] S10, let the power estimate of the i-th air conditioner in the m-th building be Co-located is the trigger value; in kt * +ΔT l to (k+1)t * During this period, all air conditioners trigger consistency algorithm updates through events

[0022] S11, at (k+1)t * At this moment, the intermediary air conditioner calculates the estimated value of the total power of the building where it is located, and combines Update its comfort level, and then determine whether the comfort level error is less than ε. If so, go to S12; otherwise, set k = k + 1 and go to step 8.

[0023] S12, adjust the temperature of all air conditioners to

[0024] Furthermore, in step S1, the parameters of the control system include: the target power P that the upper dispatch center needs to achieve * , the number of buildings where the air conditioning cluster is located is M, the number of air conditioners in each building is Nm, where m represents the mth building; for the i-th (1≤i≤N m ) room, let the heat capacity of the air and solid in the room be The thermal resistances between indoor air, outdoor air and indoor solids are The upper and lower limits of the working power of the air conditioner in the room are and The working coefficient of the air conditioning operation model is a m,i 、b m,i 、c m,i d m,i 、g m,i , the outdoor temperature is T o The upper and lower limits of the temperature change that users can accept in the room are and

[0025] User comfort m,i The calculation formula is:

[0026]

[0027] in and They represent the ideal set temperature and the set temperature respectively;

[0028] Air conditioning power According to the comfort calculation, the specific formula is:

[0029]

[0030] Among them, min represents the minimum function, and max represents the maximum function.

[0031] Furthermore, in step S2, the communication topology connection relationship between the air conditioners in all rooms in the mth building is represented by the matrix When air conditioners i and j are connected and i≠j, a ij =1, otherwise 0 The communication connection relationship matrix between each air conditioner in the mth building and the Nmth air conditioner

[0032] In step S3, the difference When ΔP>0, When ΔP<0,

[0033] In step S4, self-regulation capability The calculation formula is:

[0034]

[0035] in, Respectively represent when l m,i The power value corresponding to -1, 1, and initial value.

[0036] Furthermore, in step S5, the specific formula of the event-triggered consistency algorithm is:

[0037]

[0038] Among them, h and K are the coefficients of time consistency, t * It is a time parameter set by humans;

[0039] The state error of regulation capability is defined as:

[0040]

[0041] The judgment conditions for the corresponding event trigger mechanism are:

[0042]

[0043] Among them, ρ i ,η i and β are the operating parameters of the event triggering mechanism, and They represent the adjustment capacity trigger values ​​of the i-th and j-th air conditioners respectively.

[0044] Furthermore, in step S7, the dispatching power value ΔP of the mth building m Calculated by the upper dispatch center, the specific formula is:

[0045]

[0046] Furthermore, in step S8, the event-triggered consistency tracking algorithm is:

[0047]

[0048] in, ΔT l It is a time parameter set by humans;

[0049] The comfort state error is defined as:

[0050]

[0051] The judgment conditions for the corresponding event trigger mechanism are:

[0052]

[0053] Furthermore, in step S10, the event-triggered consistency algorithm is:

[0054]

[0055] Where, ΔT P is a time parameter set artificially, and ΔT l +ΔT P =t * ;

[0056] The state error of power is defined as:

[0057]

[0058] The judgment conditions of the event trigger mechanism are:

[0059]

[0060] Furthermore, in step S11, at t=(k+1)t * When , the calculation formula of the updated comfort level of the intermediate air conditioner is:

[0061]

[0062] Where δ represents the step size coefficient.

[0063] According to one aspect of the present invention, a storage medium is provided, in which instructions are stored. When a computer reads the instructions, the computer executes any of the above-mentioned distributed control strategies based on event triggering mechanisms for heterogeneous variable-frequency air-conditioning clusters.

[0064] According to another aspect of the present invention, an electronic device is provided, comprising a processor and the above-mentioned storage medium, wherein the processor executes instructions in the storage medium.

[0065] Compared with the prior art, the present invention has the following beneficial effects:

[0066] 1. The present invention's distributed control strategy for heterogeneous variable-frequency air conditioning clusters, based on an event-triggered mechanism, establishes a method for calculating and regulating power while ensuring a balanced supply and demand in the power system. This achieves fair distribution and prevents air conditioning power overload. Furthermore, it enables user comfort sharing while ensuring that indoor temperatures do not exceed the acceptable range for the corresponding users.

[0067] 2. On the premise of achieving the basic control objectives, the present invention takes into account the randomness of parameters such as air-conditioning performance, user preferences and indoor thermodynamic changes, and has practical significance.

[0068] 3. The process of calculating the sum of regulation capabilities, the sum of powers, and comfort updates in the present invention adopts a distributed consistency update algorithm. Under this distributed architecture, a single air conditioner only needs to communicate with its neighboring air conditioners to achieve consistency, which improves the system scheduling flexibility and agility and reduces the communication burden.

[0069] 4. The present invention introduces an event trigger mechanism into the distributed cooperative control algorithm, which avoids continuous communication between adjacent air conditioners, greatly reduces the number of communications, and also achieves convergence within the specified time, thereby improving communication efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0071] Figure 1 It is a control system communication network architecture diagram of the present invention;

[0072] Figure 2 It is a schematic flow diagram of the present invention;

[0073] Figure 3 is a graph of the outdoor temperature and total power target at different times of the present invention;

[0074] Figure 4 is a graph showing the sum of the dispatching capabilities of each building and the dispatching power target value at different times of the present invention;

[0075] Figure 5 is a graph of user comfort status, power sum, and set indoor temperature at different times in the first building of the present invention;

[0076] Figure 6 is a graph showing changes in user comfort status in the first building of the present invention within the first hour;

[0077] Figure 7 The air conditioners in the first building of the present invention communicate and update the comfort trigger state diagram at different times in a distributed event triggering manner;

[0078] Figure 8 This is a diagram of the actual indoor air temperature, solid temperature, and user comfort at different times after the scheduling is completed. DETAILED DESCRIPTION

[0079] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0080] like Figure 1 and Figure 2 As shown, the present invention involves a distributed control strategy based on an event trigger mechanism for a heterogeneous variable frequency air conditioning cluster, comprising the following steps:

[0081] Step 1: Set all the required parameters in the system, including: the target power P that the upper dispatch center needs to achieve * , the number of buildings where the air conditioning cluster is located is M, the number of air conditioners in each building is Nm, where m represents the mth building; for the i-th (1≤i≤N m ) room, let the heat capacity of the air and solid in the room be The thermal resistances between indoor air, outdoor air and indoor solids are The upper and lower limits of the working power of the air conditioner in the room are and The working coefficient of the air conditioning operation model is a m,i 、b m,i 、c m,i d m,i 、g m,i , the outdoor temperature is T o The upper and lower limits of the temperature change that users can accept in the room are and In addition, the comfort level of each user at the initial moment is initialized m,i And calculate the power of the corresponding air conditioner The initial value of the tracking convergence number is k = 0;

[0082] Step 2: For the mth building, the communication topology connection relationship between the air conditioners in all its rooms is expressed as a matrix Indicates that When air conditioners i and j are connected and i≠j, a ij =1, otherwise 0 (1≤i≤N m ,1≤j≤N m ); the Laplace matrix of the communication topology between air conditioners is Indicates that the neighboring air conditioner of the i-th air conditioner in the communication topology is Indicates that the number of neighbors of the i-th air conditioner is represented by di; in addition, the N-th m The air conditioner acts as an intermediary air conditioner to communicate with the upper dispatch center and adopts matrix Indicates that each air conditioner in the mth building is connected to the Nth m The communication connection relationship of the air conditioners;

[0083] Step 3: At the initial moment, the dispatch center calculates the sum of the power of all air conditioners in the building according to the data uploaded by each intermediary air conditioner. calculate And calculate the value When ΔP>0, When ΔP<0, and will Sent to each intermediary air conditioner;

[0084] Step 4: All air conditioners in the mth building are Calculating self-regulation ability

[0085] Step 5: Let the adjustment capacity of the i-th air conditioner in the m-th building be estimated as Co-located is its trigger value. * During this period, all air conditioners trigger consistency algorithm updates through events If the air conditioner meets the event triggering condition at time t, then And at time t Send to neighbor air conditioner, if the event triggering conditions are not met, then Remains unchanged and does not transfer information;

[0086] Step 6: The intermediary air conditioner in the mth building is at t * Calculate the sum of the regulating capacities of all air conditioners in the mth building at all times The data is then uploaded to the upper dispatch center, and the intermediary air conditioners in other buildings perform the same operation.

[0087] Step 7, in t * At this moment, the upper dispatch center will upload C m(1≤m≤M), the power ΔP that each building should dispatch m Sent to the intermediary air conditioner, which calculates the target power for this round of scheduling

[0088] Step 8: Set the comfort setting value of the i-th air conditioner in the m-th building to Co-located Its trigger value. * to kt * +ΔT l During this period, all air conditioners are updated through event-triggered consistency tracking algorithms If the air conditioner meets the event triggering condition at time t, then And at time t Send to neighbor air conditioner, if the event triggering conditions are not met, then Remains unchanged and does not transfer information;

[0089] Step 9, in kt * +ΔT l At this moment, all air conditioners are based on the current Calculate the corresponding power estimate and set temperature value

[0090] Step 10: Let the power estimate of the i-th air conditioner in the m-th building be Co-located Its trigger value. * +ΔT l to (k+1)t * During this period, all air conditioners trigger consistency algorithm updates through events If the air conditioner meets the event triggering condition at time t, then And at time t Send to neighbor air conditioner, if the event triggering conditions are not met, then Remains unchanged and does not transfer information;

[0091] Step 11, at (k+1)t * At this moment, the intermediary air conditioner calculates the estimated total power of the building where it is located Recombination Update its comfort Then judge Is it less than ε? If so, go to step 12; otherwise, set k = k + 1 and go to step 8;

[0092] Step 12: All air conditioners adjust their set temperatures to

[0093] The present invention is mainly explained for the air conditioner in the mth building. In the parameter setting of the program operation, the intermediate air conditioner comfort update error ε; the calculation formula of the user comfort in step 1 is:

[0094]

[0095] in and These are the ideal set temperature and the set temperature, and the corresponding air conditioning power value is calculated based on the comfort level:

[0096]

[0097] Self-regulation ability The calculation formula is:

[0098]

[0099] in, Respectively represent when l m,i The power value corresponding to -1, 1, and initial value.

[0100] The dispatch power value ΔP of the mth building in step 7 m It is calculated by the upper-level dispatch center based on the following rules:

[0101]

[0102] The event-triggered consensus algorithm in step 5 is:

[0103]

[0104] The event-triggered consistency tracking algorithm in step 8 is:

[0105]

[0106] in,

[0107] The event-triggered consensus algorithm in step 10 is:

[0108]

[0109] Among them, h and K are the coefficients of consistency of the specified time, ΔT l , ΔT P and t * are artificially set time parameters and ΔT l +ΔT P =t * .

[0110] In step 5, the state error of the regulation capability is defined as:

[0111]

[0112] The judgment conditions for the corresponding event trigger mechanism are:

[0113]

[0114] The comfort state error in step 8 is defined as:

[0115]

[0116] The judgment conditions for the corresponding event trigger mechanism are:

[0117]

[0118] The state error of power in step 10 is defined as:

[0119]

[0120] The judgment conditions of the event trigger mechanism are:

[0121]

[0122] Among them, η, ρ and β are the operating parameters of the event triggering mechanism.

[0123] In step 11, at t=(k+1)t * , the calculation formula of the mediator air conditioning update comfort is:

[0124]

[0125] where δ is the step size coefficient.

[0126] This embodiment takes a microgrid system consisting of a dispatching center and several buildings as an example. The communication topology connection relationship of the air conditioners in each building is as follows: Figure 1 The specific implementation steps are as shown in Figure 2 As shown:

[0127] 1. Set system parameters

[0128] Given that the number of buildings in the microgrid system is M=3, the number of air conditioners in each building is N1=50, N2=40, N3=30, and the parameters of the consistency algorithm and event trigger mechanism are h=3, K=2500, and ηi=10 -7 , ρ i =10 -9 , β=0.85, set the specified time to ΔT C =40s, ΔT l =ΔT P= 20s, the update error of the intermediate air conditioner ε = 0.001, k = 0; In addition, in order to be closer to reality, the situation between 6 am and 4 pm is simulated, the outdoor temperature and the total power target T o and P * The changes in Figure 3 Thermodynamic changes and air conditioning operating parameters are shown in the table:

[0129] Table 1 Thermodynamic changes in the room and air conditioning operating parameters of this embodiment

[0130]

[0131]

[0132] like Figures 4 to 8 This is a simulation result diagram of an embodiment of a distributed control strategy based on an event trigger mechanism for a heterogeneous variable frequency air conditioning cluster of the present invention:

[0133] Figure 4 The data showing the percentage of the sum of the regulation capabilities of the three buildings and the changes in the target value of the dispatching power shows that when the percentage is high, more power dispatching is allocated, which reflects the fairness of the allocation.

[0134] Figure 5 It represents the changes in the comfort of all users of the air conditioners in Building 1, the changes in the comfort of the users of the intermediary air conditioners, the changes in the sum of the power of all air conditioners, and the changes in the set indoor temperature. It can be seen that the comfort of the users of each air conditioner always follows the changes of the intermediary air conditioner and does not exceed |1|, which means that the indoor temperature will not exceed the user's tolerance range. In particular, Figure 6 It shows the convergence in the first hour, and the scheduling is completed after about 8 cycles; in addition, the change of the sum of power is also consistent with Figure 4 (b) is consistent, and its offset direction is opposite to the set temperature, which is also consistent with reality.

[0135] Figure 7 The timing diagram shows that the comfort status of the 10th, 20th, 30th, and 40th air conditioners in the first hour meet the trigger conditions when they are updated through the event trigger mechanism. 7(b) is the situation during the first cycle. It can be seen that there is a lot of time when the update conditions are not triggered, which means that the number of communications is reduced and the communication efficiency is improved.

[0136] Figure 8 Indicates the changes in the actual indoor air temperature, actual solid temperature, and actual user comfort after the end of each hour's scheduling. Figure 5 (b) and Figure 5(d), it can be observed that the actual change trends of temperature and comfort are consistent with the scheduling process. In addition, the change trends of solid and air are similar, but due to different physical conditions, air tends to reach the set temperature value faster.

[0137] The computer-readable storage medium of this embodiment may be an internal storage unit of the terminal, such as a hard disk or memory of the terminal; the computer-readable storage medium of this embodiment may also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card, a secure digital card, a flash memory card, etc. equipped on the terminal; further, the computer-readable storage medium may also include both an internal storage unit of the terminal and an external storage device.

[0138] The computer-readable storage medium of this embodiment is used to store computer programs and other programs and data required by the terminal. The computer-readable storage medium can also be used to temporarily store data that has been output or is to be output.

[0139] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing related hardware through a computer program. The program can be stored in a computer-readable storage medium, and when executed, the program can include the processes in the above-described method embodiments. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0140] The examples described in the present invention are merely descriptions of the preferred embodiments of the present invention and are not intended to limit the concept and scope of the present invention. Without departing from the design concept of the present invention, various modifications and improvements made to the technical solutions of the present invention by engineers and technicians in this field should fall within the scope of protection of the present invention.

Claims

1. A distributed control method for a heterogeneous variable frequency air conditioning cluster based on an event trigger mechanism, characterized in that: The steps include: S1. Set the parameters of the control system; initialize the comfort level of each user at the initial moment And calculate the power of the corresponding air conditioner , the number of iterations k is initialized to k=0; S2, the The communication topology connection relationship between the air conditioners in all rooms of the building is represented by a matrix Represented by; the Laplace matrix of the communication topology between air conditioners is expressed as Indicates that The use of neighboring air conditioners in the communication topology Indicates that Number of neighbors using the air conditioner Indicates; The air conditioner acts as an intermediary air conditioner to communicate with the upper dispatch center and adopts matrix Indicates the Each air conditioner in the building The communication connection relationship of the air conditioners; S3. At the initial moment, the dispatch center calculates the sum of the power of all air conditioners in the building according to the data uploaded by each intermediary air conditioner. Calculate the difference , and get the value ,when ; , and Sent to each intermediary air conditioner; S4, No. All air conditioners in the building are based on Calculating self-regulation ability ; S5, Order The first building The estimated regulating capacity of the air conditioner is ,set up is the trigger value; to During this period, all air conditioners trigger consistency algorithm updates through events ; S6, The intermediary air conditioner in the building Calculate the moment The sum of the regulating capacities of all air conditioners in the building The data is then uploaded to the upper dispatch center, and the intermediate air conditioners in other buildings perform the same operation. S7, in At this moment, the upper dispatch center will upload the data from each intermediary air conditioner. , the power that each building should dispatch Sent to the intermediary air conditioner, which calculates the target power for this round of scheduling ; S8, Order No. The first building The comfort setting value of the air conditioner is ,set up is the trigger value; to During this period, all air conditioners are updated through event-triggered consistency tracking algorithms ; S9, in At this moment, all air conditioners are based on the current Calculate the corresponding power estimate and set temperature value ; S10, Order No. The first building The estimated power of an air conditioner is , and set is the trigger value; to During this period, all air conditioners trigger consistency algorithm updates through events ; S11, in At this moment, the intermediary air conditioner calculates the estimated value of the total power of the building where it is located, and combines Update its comfort level, and then determine whether the comfort level error is less than If satisfied, go to S12, otherwise Go to step 8; S12, adjust the temperature of all air conditioners to ; Among them, in step S1, the parameters of the control system include: the target power that the upper dispatch center needs to achieve , the number of buildings where the air conditioning cluster is located , the number of air conditioners in each building ,in Indicates the Building; for Building No. Rooms, of which , let the heat capacity of the indoor air and solid be 、 , the thermal resistances between indoor air, outdoor air and indoor solid are 、 The upper and lower limits of the working power of the air conditioner in the room are and , the working coefficient of the air conditioning operation model is 、 、 、 、 , the outdoor temperature is The upper and lower limits of the temperature change that users can accept in the room are and ; User comfort The calculation formula is: (1) in and Represent the ideal set temperature and the actual set temperature respectively; Air conditioning power According to the comfort calculation, the specific formula is: (2) in, represents the minimum function, represents the maximum value function; In step S2, The communication topology connection relationship between the air conditioners in all rooms in the building is represented by a matrix , when air conditioning and Connected and hour , otherwise it is 0; Each air conditioner in the building Communication connection matrix of air conditioners ; In step S3, the difference ,when ; ; In step S4, self-regulation capability The calculation formula is: (3) in, 、 、 Respectively indicate when The power value corresponding to -1, 1, and initial value.

2. The method according to claim 1, characterized in that In step S5, the specific formula of the event-triggered consistency algorithm is: (4) in, and is the coefficient of time consistency, It is a time parameter set by humans; The state error of regulation capability is defined as: (5) The judgment conditions for the corresponding event trigger mechanism are: (6) in, 、 and are the operating parameters of the event triggering mechanism, and Respectively represent Hedi The adjustment capacity trigger value of the air conditioner.

3. The method according to claim 2, characterized in that In step S7, Dispatching power value of the building Calculated by the upper dispatch center, the specific formula is: (7)。 4. The method according to claim 3, characterized in that In step S8, the event-triggered consistency tracking algorithm is: (8) in, , It is a time parameter set by humans; The comfort state error is defined as: (9) The judgment conditions for the corresponding event trigger mechanism are: (10)。 5. The method according to claim 4, characterized in that In step S10, the event-triggered consistency algorithm is: (11) in, is a time parameter set by humans, and ; The state error of power is defined as: (12) The judgment conditions of the event trigger mechanism are: (13)。 6. The method according to claim 5, characterized in that In step S11, When , the calculation formula of the updated comfort level of the intermediate air conditioner is: (14) in Represents the step size coefficient.

7. A storage medium, characterized in that: The storage medium stores instructions, and when a computer reads the instructions, the computer is caused to execute the distributed control method based on an event triggering mechanism for a heterogeneous variable-frequency air-conditioning cluster according to any one of claims 1 to 6.

8. An electronic device, characterized in that: The device comprises a processor and the storage medium according to claim 7, wherein the processor executes instructions in the storage medium.

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