Control method and control device for an energy storage air conditioning system

Abstract

A control method and a control device of an energy storage air conditioning system are disclosed. The control method comprises: in response to receiving a scheduling instruction from a load scheduling platform, determining a target time-sharing load of the energy storage air conditioning system in a preset time period; based on the target time-sharing load, determining a load distribution strategy of the energy storage air conditioning system; and according to the load distribution strategy, performing time-sharing load distribution on multiple air conditioning units of the energy storage air conditioning system, so that a sum of energy efficiency ratios of the multiple air conditioning units meets a first preset requirement. The control method can make the energy storage air conditioning system meet scheduling requirements, user requirements and economic requirements in an electricity market environment.

Description

Technical Field

[0001] This disclosure generally relates to the field of energy storage air conditioning technology, and more specifically, to a control method and control device for an energy storage air conditioning system in an electricity market environment. Background Technology

[0002] With the elimination of catalog-based electricity pricing for industrial and commercial users, all industrial and commercial users will need to enter the electricity market and purchase electricity at floating market prices. Energy storage air conditioning systems, as adjustable and high-quality load response energy storage resources, can be flexibly dispatched by the dispatch platform while meeting user needs, playing a role in peak shaving and valley filling in the power system. However, most existing energy storage air conditioning systems employ fixed charging and discharging strategies based on catalog-based electricity prices, allocating load to air conditioning units evenly or sequentially within a fixed pattern. With the abolition of catalog-based electricity prices, this fixed strategy is no longer applicable, posing significant challenges to energy storage air conditioning systems in the electricity market environment.

[0003] In addition, existing energy storage air conditioning systems are unable to balance the relationship between electrical load, energy supply load and building load; on the other hand, the control strategies for air conditioning units are outdated and do not take into account the overall optimization strategy for group control. Summary of the Invention

[0004] This disclosure provides a control method and control device for an energy storage air conditioning system, so that the energy storage air conditioning system can meet dispatch requirements, user requirements and economic requirements in the power market environment, and maintain the optimal operation of the system itself.

[0005] In one general aspect, a control method for an energy storage air conditioning system is provided. The control method includes: in response to receiving a scheduling instruction from a load scheduling platform, determining a target time-sharing load of the energy storage air conditioning system within a preset time period; determining a load allocation strategy for the energy storage air conditioning system based on the target time-sharing load; and performing time-sharing load allocation on multiple air conditioning units of the energy storage air conditioning system according to the load allocation strategy, so that the sum of the energy efficiency ratios of the multiple air conditioning units meets a first preset requirement.

[0006] In another general aspect, a control device for an energy storage air conditioning system is provided. The control device includes: a load determination unit, configured to determine a target time-of-use load of the energy storage air conditioning system within a preset time period in response to receiving a scheduling instruction from a load scheduling platform; a load allocation unit, configured to determine a load allocation strategy for the energy storage air conditioning system based on the target time-of-use load; and a strategy execution unit, configured to perform time-of-use load allocation on multiple air conditioning units of the energy storage air conditioning system according to the load allocation strategy, so that the sum of the energy efficiency ratios of the multiple air conditioning units meets a first preset requirement.

[0007] In another general aspect, a computer-readable storage medium storing a computer program is provided, characterized in that, when the computer program is executed by a processor, it implements the control method of the energy storage air conditioning system as described above.

[0008] In another general aspect, a computing device is provided, the computing device comprising: a processor; and a memory storing a computer program, which, when executed by the processor, implements the control method of the energy storage air conditioning system as described above.

[0009] The control method and control device for the energy storage air conditioning system according to embodiments of this disclosure can optimize the operation of the energy storage air conditioning system, making it more flexible and adjustable on the load side of the power system. Furthermore, the control method and control device for the energy storage air conditioning system according to embodiments of this disclosure, on the one hand, maintains the peak-shaving and valley-filling and energy-saving / cost-reducing functions of the energy storage air conditioning system by changing the fixed strategy under the catalog electricity price; on the other hand, by fully exploring the load distribution potential among air conditioning units, it further meets economic needs while satisfying user and dispatch requirements.

[0010] Further aspects and / or advantages of the general concept of this disclosure will be set forth in part in the description which follows, and in part will be clear from the description or may be learned by practice of the general concept of this disclosure. Attached Figure Description

[0011] The above and other objects and features of the embodiments of this disclosure will become clearer from the following description taken in conjunction with the accompanying drawings illustrating the embodiments, wherein:

[0012] Figure 1 This is a flowchart illustrating a control method for an energy storage air conditioning system according to an embodiment of the present disclosure;

[0013] Figure 2 This is a flowchart illustrating the operation mode planning of an energy storage air conditioning system according to an embodiment of the present disclosure;

[0014] Figure 3 This is a block diagram illustrating a control device for an energy storage air conditioning system according to an embodiment of the present disclosure;

[0015] Figure 4 This is a block diagram illustrating a computing device according to an embodiment of the present disclosure. Detailed Implementation

[0016] The following detailed embodiments are provided to aid the reader in gaining a comprehensive understanding of the methods, apparatus, and / or systems described herein. However, various changes, modifications, and equivalents of the methods, apparatus, and / or systems described herein will become apparent upon understanding this disclosure. For example, the order of operations described herein is merely illustrative and is not limited to those orders set forth herein, but may be changed as will become clear upon understanding this disclosure, except for operations that must occur in a specific order. Furthermore, for clarity and conciseness, descriptions of features known in the art may be omitted.

[0017] The control method and control device for the energy storage air conditioning system according to the embodiments of the present disclosure can control the energy storage air conditioning system to optimize its operation, making the energy storage air conditioning system more flexible and adjustable on the load side of the power system.

[0018] The following will refer to Figures 1 to 4 A control method and control device for an energy storage air conditioning system according to embodiments of the present disclosure will be described in detail.

[0019] Figure 1 This is a flowchart illustrating a control method for an energy storage air conditioning system according to an embodiment of the present disclosure.

[0020] Reference Figure 1 In step S101, after receiving the dispatch instruction from the load dispatching platform, the target time-of-use load of the energy storage air conditioning system within a preset time period is determined. Here, the load dispatching platform, as the upper-level dispatching platform of the energy storage air conditioning system, can be, but is not limited to, a virtual power plant, an electricity sales company, a power grid dispatching platform, or a flexible load aggregator.

[0021] Furthermore, the aforementioned dispatch instructions may be mandatory or non-mandatory. As an example, a mandatory dispatch instruction is an incentive-based demand response with a short notification time, possessing both dispatching and punitive characteristics, and can specify time-of-use electricity load within a preset time period to force the energy storage air conditioning system to operate according to the specified load. A non-mandatory dispatch instruction, on the other hand, is a price-based demand response, lacking both dispatching and punitive characteristics, and can specify time-of-use electricity prices within a preset time period, allowing the energy storage air conditioning system to voluntarily operate according to the specified time-of-use electricity price.

[0022] According to embodiments of this disclosure, a user's energy demand load within a preset time period can be predicted based on real-time meteorological data and a preset model. Here, the real-time meteorological data can be, but is not limited to, meteorological data transmitted from a load dispatching platform; the preset model can be, but is not limited to, Prophet, XGBoost, or LSTM, and can be pre-trained based on historical meteorological data and the user's historical load data. Furthermore, the duration of the preset time period is determined based on dispatching instructions or by those skilled in the art based on actual needs. Even further, the energy demand load can be the user's cooling load or heating load, but is not limited to these; those skilled in the art can determine the form of energy demanded by the user based on actual circumstances.

[0023] According to embodiments of this disclosure, when the dispatch instruction is a non-mandatory dispatch instruction, the energy demand load is used as the target time-sharing load of the energy storage air conditioning system within a preset time period before proceeding to the next step. Alternatively, when the dispatch instruction is a mandatory dispatch instruction, the specified electrical load in the dispatch instruction is used as the target time-sharing load of the energy storage air conditioning system within a preset time period before proceeding to the next step.

[0024] As an example, when the scheduling instruction is a non-mandatory scheduling instruction, the operation mode of the energy storage air conditioning system can be planned in a time-sharing manner within a preset time period to meet the user's economic requirements.

[0025] The following reference Figure 2 The process of planning the operation mode of the energy storage air conditioning system according to the embodiments of this disclosure is described in detail.

[0026] Reference Figure 2 In step S201, based on the market electricity price and energy demand load, a time-of-use (TOU) operation strategy for the energy storage air conditioning system within a preset time period is determined. Here, the market electricity price can be the TOU price specified in a non-mandatory dispatch instruction, or it can be a TOU price determined in the electricity market through spot trading, etc., and is not limited to these. Furthermore, the TOU operation strategy can be determined according to a preset period. As an example, the preset period can be one day, that is, the TOU operation strategy for the next day is determined based on the market electricity price and energy demand load one day in advance, and the TOU operation strategy for the third day is determined based on the new market electricity price and energy demand load the next day. Those skilled in the art can set the preset period according to actual conditions.

[0027] The aforementioned energy storage air conditioning system typically includes multiple devices, which may include at least one of the following: energy release devices, energy storage devices, energy supply devices, and energy generation devices. Here, the energy generation devices may include multiple air conditioning units, and the aforementioned operating modes reflect the on / off status of these multiple devices.

[0028] According to embodiments of this disclosure, energy demand load and device attributes of multiple devices are used as second constraints. Then, based on market electricity prices and the second constraints, a second optimization algorithm is used to determine the time-of-use operation strategy of the energy storage air conditioning system within a preset time period. Here, the second constraints include dependencies / mutual exclusion relationships between devices, energy generation / storage not exceeding the energy demand load, and the total energy storage remaining within a certain range. The second preset algorithm includes mixed integer programming or heuristic algorithms, etc., which can be specifically set according to actual needs.

[0029] Next, in step S202, the operating mode of the energy storage air conditioning system is set according to the determined time-sharing operation strategy, so that the electricity cost of the energy storage air conditioning system meets the second preset requirement. Here, the operating mode may include at least one of the following: shutdown mode, energy release mode, combined energy supply mode, energy storage mode, independent energy supply mode, and simultaneous energy storage and supply mode. The aforementioned second preset requirement can be that the electricity cost of the energy storage air conditioning system is relatively low; in other words, according to the time-sharing operation strategy, the energy storage air conditioning system can meet the user's energy demand (e.g., cooling or heating) throughout the day while minimizing electricity costs.

[0030] Specifically, the shutdown mode indicates that all equipment in the energy storage air conditioning system is in a shutdown state; the energy release mode indicates that only the energy release equipment is in a working state; the combined energy supply mode indicates that only the energy release equipment, energy supply equipment, and energy generation equipment are in a working state; the energy storage mode indicates that only the energy storage equipment and energy generation equipment are in a working state; the single energy supply mode indicates that only the energy supply equipment and energy generation equipment are in a working state; and the simultaneous energy storage and supply mode indicates that only the energy storage equipment, energy supply equipment, and energy generation equipment are in a working state.

[0031] According to embodiments of this disclosure, when a user's energy demand is for cooling, the operation of the energy storage air conditioning system is a process of storing and releasing cold.

[0032] First, as an example, the operating modes of the cold storage and cold release equipment in an energy storage air conditioning system can be represented by the following Table 1:

[0033] Table 1. Operating Modes of Cold Storage and Discharge Equipment

[0034]

[0035] Here, the energy storage air conditioning system includes cooling equipment, cold storage equipment, cooling supply equipment, and refrigeration equipment. Cooling equipment includes cooling circulating water pumps, etc.; cold storage equipment may include cold storage circulating water pumps, etc.; cooling supply equipment includes circulating water pumps on the chilled and cooled sides, as well as cooling-side fans, etc.; and refrigeration equipment includes at least one air conditioning unit. In the table above, 1 indicates that the corresponding equipment is in an active state, and 0 indicates that the corresponding equipment is in a disabled state. As an example, the entire day can be divided into 96 time periods, each lasting 15 minutes. This indicates the on / off status of the cooling equipment during the i-th time period of the day; This indicates the activation / deactivation status of the cold storage equipment during the i-th time period of the day; This indicates the on / off status of the cooling equipment during the i-th time period of the day; This indicates the activation / deactivation status of the refrigeration equipment during the i-th time period of the day. As shown in Table 1, the activation / deactivation status of each of the above equipment corresponds to the six operating modes of the energy storage air conditioning system: shutdown mode, cooling release mode, combined cooling mode, energy storage mode, independent cooling mode, and simultaneous energy storage and cooling mode.

[0036] Next, as an example, the objective function is set to minimize the daily electricity cost, as shown in equations (1) and (2) below:

[0037] (1)

[0038] (2)

[0039] here, t This indicates the duration of each time slot, which is 15 minutes. This represents the electrical load of the energy storage air conditioning system during the i-th time period of the day; This represents the market electricity price for the i-th time period of the day; This represents the electrical load of the cooling equipment during the i-th time period of the day. The cooling equipment includes all equipment on the cooling lines. This indicates the electrical load of the cold storage equipment during the i-th time period of the day. The cold storage equipment may include all equipment in the cold storage lines. This represents the electrical load of the cooling equipment during the i-th time period of the day. The cooling equipment includes all equipment on the cooling lines. This represents the electrical load of the refrigeration equipment during the i-th time period of the day. The refrigeration equipment includes all equipment on the cooling side circuit.

[0040] Next, set second constraints according to the energy demand load and the equipment attributes of multiple devices. The second constraints include at least one of the following: integer constraints, equipment dependency / mutual exclusion constraints, water storage tank cooling capacity constraints, user demand constraints, and water storage tank cooling capacity constraints.

[0041] Integer constraints refer to the constraints on the enabled / disabled status of each device. As mentioned above, 1 indicates that the corresponding device is enabled, and 0 indicates that the corresponding device is disabled. Here, the integer constraints can be represented by the following formula (3):

[0042] , , , (3)

[0043] Equipment dependency / mutual exclusion constraint means that, on the one hand, cold storage and cold release are mutually exclusive, and cold storage and cold release cannot occur simultaneously, that is, cold storage equipment and cold release equipment cannot be in the active state at the same time; on the other hand, cold storage depends on refrigeration, and refrigeration equipment must be in the active state when cold storage is performed. Here, the following equations (4) and (5) are used to represent equipment dependency / mutual exclusion constraint:

[0044] (4)

[0045] (5)

[0046] The cold energy constraint of a water storage tank refers to the requirement that the cold energy of the water storage tank be kept within a certain range at all times. The cold energy constraint of the water storage tank is expressed by the following equations (6) to (8):

[0047] (6)

[0048] (7)

[0049] (8)

[0050] here, This represents the total cooling capacity of the water storage tank during the i-th time period of the day. This indicates the maximum total cooling capacity of the water storage tank. This represents the cooling load during the (i-1)th time period of the day. Indicates cold storage efficiency. This represents the cooling load during the (i-1)th time period of the day.

[0051] User demand constraints refer to meeting the cooling needs of users throughout the day, and are expressed by the following equations (9) and (10):

[0052] (9)

[0053] (10)

[0054] here, This represents the cooling load during the i-th time period of the day. This represents the cooling load during the i-th time period of the day. This represents the cooling load during the i-th time period of the day. This represents the cooling load required by the user during the i-th time period of the day; COP (coefficient of performance) represents the energy efficiency ratio of the refrigeration equipment, and COP is either the rated value or the average value; α represents the load compensation coefficient, which is larger when the water supply temperature is higher and smaller when the water supply temperature is lower. The load compensation coefficient is a fixed value when the water supply temperature is constant.

[0055] In addition, the rated cooling load of the water storage tank can be increased. As a constraint on the cooling capacity of the water storage tank.

[0056] Next, based on the above objective function and the second constraint, the time-sharing operation strategy with the lowest electricity cost is obtained by using mixed integer programming or heuristic algorithms.

[0057] Return to reference Figure 1 After obtaining the target time-sharing load of the energy storage air conditioning system within a preset time period in step S101, the load allocation strategy of the energy storage air conditioning system is determined based on the target time-sharing load (step S102).

[0058] Here, the target time-of-use load and the equipment attributes of multiple air conditioning units can be used as the first constraints. Then, based on the first constraints, a first optimization algorithm can be used to obtain the load allocation strategy of the energy storage air conditioning system. The aforementioned first constraints include the upper and lower limits of the energy load and electrical load of the energy-generating equipment, as well as the relationship between the partial load rate and energy efficiency ratio of the energy-generating equipment, etc. The first optimization algorithm includes nonlinear optimization or heuristic algorithms, etc.

[0059] Next, in step S103, according to the load distribution strategy, the multiple air conditioning units of the energy storage air conditioning system are distributed in a time-sharing manner so that the sum of the energy efficiency ratios of the multiple air conditioning units meets a first preset requirement. Here, the first preset requirement can be that the sum of the energy efficiency ratios of the multiple air conditioning units is maximized, that is, the overall COP of the energy storage air conditioning system is maximized. Finally, load distribution is achieved among the air conditioning units by controlling the outlet water temperature or circulating water flow rate.

[0060] According to embodiments of this disclosure, when the scheduling instruction is a non-mandatory scheduling instruction, in response to multiple air conditioning units being in an activated state based on a time-sharing operation strategy, the multiple air conditioning units of the energy storage air conditioning system can be allocated loads in a time-sharing manner according to the load allocation strategy.

[0061] For example, when a user's energy demand is for cooling, multiple air conditioning units in an energy storage air conditioning system are controlled to provide the cooling load. When the energy storage air conditioning system operates under non-mandatory dispatch commands, it only needs to consider the user's cooling load; that is, the operating goal of the energy storage air conditioning system is to meet the user's demand while minimizing the electrical load of the multiple air conditioning units, thereby maximizing the overall COP of the energy storage air conditioning system. However, if the energy storage air conditioning system operates under mandatory dispatch commands, it needs to operate according to a specified electrical load. Based on this, the load is then rationally allocated according to the user's energy demand preference range to maximize the cooling load provided by the multiple air conditioning units, thereby maximizing the overall COP of the energy storage air conditioning system.

[0062] First, as an example, by testing the air conditioning unit of the energy storage air conditioning system or based on the equipment nameplate information, the relationship function between the partial load rate and COP of the air conditioning unit is obtained. Then, the objective function is set according to maximizing the overall COP of the energy storage air conditioning system. The objective function is shown in the following equation (11):

[0063] Max COP = ∑Q k / ∑P k

[0064] =∑Q k / P all

[0065] =∑(P k COP) / P all

[0066] =∑(P k f(PLR k )) / P all

[0067] =∑(P k f(Q k / Q kr )) / P all (11)

[0068] Here, Q k P represents the cooling load (in kW) of air conditioning unit k. k P represents the electrical load (in kW) of air conditioning unit k. all f(PLR) represents the sum of the electrical loads of all air conditioning units. k ) represents the relationship function between the partial load factor and COP of air conditioning unit k, PLR k Q represents the partial load factor of air conditioning unit k. kr This indicates the rated cooling load of the air conditioning unit k.

[0069] Next, as an example, assume that the energy storage air conditioning system includes 3 air conditioning units. According to the equipment attributes of each air conditioning unit, the upper and lower limits of the cooling load of each air conditioning unit are set as constraints, as shown in the following equation (12):

[0070] 200 <Q1<1800,200<Q2<1800,200<Q3<1400 (12)

[0071] Then, based on the predicted energy demand load, and according to the user's cooling preference range, the upper and lower limits of the overall cooling load of the energy storage air conditioning system are obtained as constraints, as shown in the following equation (13):

[0072] Q min < (Q1+Q2+Q3) max (13)

[0073] Then, based on the equipment attributes of each air conditioning unit, the upper and lower limits of the electrical load of each air conditioning unit are set as constraints, as shown in the following formula (14):

[0074] 0 <P1<400,0<P2<400,0<P3<400 (14)

[0075] Then, set the partial load rate (PLR) for each air conditioning unit. k The upper and lower limits are used as constraints, as shown in equation (15) below:

[0076] 0.1 <PLR1<1,0.1<PLR2<1,0.1<PLR3<1 (15)

[0077] When the energy storage air conditioning system is running under a mandatory dispatch command, the specified electrical load can also be used as the sum P of the electrical loads of all air conditioning units. all That is, P1 + P2 + P3 = P all .

[0078] Next, as an example, the above constraints can be used as the first constraint, and combined with the above objective function, nonlinear optimization or heuristic algorithms can be used to solve the problem to obtain the load allocation strategy with the maximum overall COP.

[0079] According to embodiments of this disclosure, the adjustable load range of the energy storage air conditioning system can be determined based on energy demand load, user energy demand preference range, and equipment operating status of the energy storage air conditioning system, and then uploaded to the load dispatching platform. Here, the load dispatching platform can refer to the adjustable load range uploaded by the energy storage air conditioning system to determine the content of the next dispatching instruction.

[0080] According to embodiments of this disclosure, the load dispatching platform and the energy storage air conditioning system can communicate using heartbeat signals. By detecting the heartbeat signals, it can be determined whether the communication delay and communication quality between the load dispatching platform and the energy storage air conditioning system meet the requirements, thereby determining whether to perform load dispatching.

[0081] ​The control method for the energy storage air conditioning system according to the embodiments of this disclosure can optimize the operation of the energy storage air conditioning system, making it more flexible and adjustable on the load side of the power system. Furthermore, the control method for the energy storage air conditioning system according to the embodiments of this disclosure, on the one hand, maintains the peak-shaving and valley-filling and energy-saving / cost-reducing functions of the energy storage air conditioning system by changing the fixed strategy under the catalog electricity price; on the other hand, by fully exploring the load distribution potential among air conditioning units, it further meets economic needs while satisfying user and dispatch requirements.

[0082] Figure 3 This is a block diagram illustrating a control device for an energy storage air conditioning system according to an embodiment of the present disclosure. The control device for the energy storage air conditioning system according to an embodiment of the present disclosure can be implemented in a computing device with sufficient computing power.

[0083] Reference Figure 3 The control device 300 of the energy storage air conditioning system includes a load determination unit 310, a load distribution unit 320, and a strategy execution unit 330.

[0084] The load determination unit 310 is configured to determine the target time-sharing load of the energy storage air conditioning system within a preset time period in response to receiving a scheduling instruction from the load scheduling platform.

[0085] The load distribution unit 320 is configured to determine the load distribution strategy of the energy storage air conditioning system based on the target time-sharing load.

[0086] The strategy execution unit 330 is configured to perform time-sharing load distribution on multiple air conditioning units of the energy storage air conditioning system according to the load distribution strategy, so that the sum of the energy efficiency ratios of the multiple air conditioning units meets the first preset requirement.

[0087] According to an embodiment of the present disclosure, the load allocation unit 320 is further configured to take the target time-sharing load and the equipment attributes of multiple air conditioning units as first constraints, and then use a first optimization algorithm to obtain the load allocation strategy of the energy storage air conditioning system based on the first constraints.

[0088] According to embodiments of this disclosure, as described above, the control device 300 may further include a load forecasting unit, which can forecast the user's energy demand load within a preset time period based on real-time meteorological data and using a preset model.

[0089] Based on this, the load determination unit 310 is also configured to respond to a non-mandatory scheduling instruction by using the energy demand load as the target time-sharing load of the energy storage air conditioning system within a preset time period.

[0090] According to embodiments of this disclosure, the control device 300 may further include an operation planning unit. The operation planning unit may determine the time-sharing operation strategy of the energy storage air conditioning system within a preset time period based on the market electricity price and energy demand load. Then, according to the time-sharing operation strategy, the operation mode of the energy storage air conditioning system may be set in a time-sharing manner so that the electricity cost of the energy storage air conditioning system meets the second preset requirement.

[0091] As described above, the energy storage air conditioning system includes at least one of multiple devices, such as energy release devices, energy storage devices, energy supply devices, and energy generation devices. Here, the energy generation devices include the multiple air conditioning units, and the operating mode is used to reflect the on / off status of the multiple devices.

[0092] Optionally, the operating mode includes at least one of the following: shutdown mode, energy release mode, combined energy supply mode, energy storage mode, standalone energy supply mode, and simultaneous energy storage and supply mode. Here, shutdown mode means that all equipment of the energy storage air conditioning system is in a state of shutdown; energy release mode means that only the energy release equipment is in a state of operation; combined energy supply mode means that only the energy release equipment, energy supply equipment, and energy generation equipment are in a state of operation; energy storage mode means that only the energy storage equipment and energy generation equipment are in a state of operation; standalone energy supply mode means that only the energy supply equipment and energy generation equipment are in a state of operation; and simultaneous energy storage and supply mode means that only the energy storage equipment, energy supply equipment, and energy generation equipment are in a state of operation.

[0093] The operation planning unit is also configured to use energy demand load and equipment attributes of multiple devices as second constraints, and then, based on market electricity prices and the second constraints, use a second optimization algorithm to determine the time-sharing operation strategy of the energy storage air conditioning system within a preset time period.

[0094] Then, in response to the multiple air conditioning units being in the enabled state based on the time-sharing operation strategy, the strategy execution unit 330 performs time-sharing load distribution on the multiple air conditioning units of the energy storage air conditioning system according to the load distribution strategy.

[0095] According to an embodiment of this disclosure, when the scheduling instruction is a mandatory scheduling instruction, the load determination unit 310 uses the specified electrical load of the scheduling instruction as the target time-sharing load of the energy storage air conditioning system within a preset time period.

[0096] Optionally, the control device 300 may further include a load uploading unit, which can determine the adjustable load range of the energy storage air conditioning system based on the energy demand load, the user's energy demand preference range, and the equipment operating status of the energy storage air conditioning system, and upload the adjustable load range to the load dispatching platform.

[0097] Figure 4 This is a block diagram illustrating a computing device according to an embodiment of the present disclosure.

[0098] ReferenceFigure 4 The computing device 400 according to embodiments of the present disclosure may include a processor 410 and a memory 420. The processor 410 may include (but is not limited to) a central processing unit (CPU), a digital signal processor (DSP), a microcomputer, a field-programmable gate array (FPGA), a system-on-a-chip (SoC), a microprocessor, an application-specific integrated circuit (ASIC), etc. The memory 420 stores computer programs to be executed by the processor 410. The memory 420 includes high-speed random access memory and / or a non-volatile computer-readable storage medium. When the processor 410 executes the computer program stored in the memory 420, the control method of the energy storage air conditioning system described above can be implemented.

[0099] The control method for an energy storage air conditioning system according to embodiments of the present disclosure can be programmed into a computer program and stored on a computer-readable storage medium. When the computer program is executed by a processor, the control method for the energy storage air conditioning system as described above can be implemented. Examples of computer-readable storage media include: read-only memory (ROM), random access programmable read-only memory (PROM), electrically erasable programmable read-only memory (EEPROM), random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), flash memory, non-volatile memory, CD-ROM, CD-R, CD+R, CD-RW, CD+RW, DVD-ROM, DVD-R, DVD+R, DVD-RW, DVD+RW, DVD-RAM, BD-ROM, BD-R, BD-R LTH, BD-RE, Blu-ray or optical disc storage, hard disk drive (HDD), solid-state drive (SSD), card storage (such as multimedia cards, secure digital (SD) cards, or ultra-fast digital (XD) cards), magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid-state drive, and any other device configured to store computer programs and any associated data, data files, and data structures in a non-transitory manner and to provide the computer programs and any associated data, data files, and data structures to a processor or computer so that the processor or computer can execute the computer programs. In one example, the computer programs and any associated data, data files, and data structures are distributed across a networked computer system, such that the computer programs and any associated data, data files, and data structures are stored, accessed, and executed in a distributed manner through one or more processors or computers.

[0100] The control method and control device for the energy storage air conditioning system according to embodiments of this disclosure can optimize the operation of the energy storage air conditioning system, making it more flexible and adjustable on the load side of the power system. Furthermore, the control method and control device for the energy storage air conditioning system according to embodiments of this disclosure, on the one hand, maintains the peak-shaving and valley-filling and energy-saving / cost-reducing functions of the energy storage air conditioning system by changing the fixed strategy under the catalog electricity price; on the other hand, by fully exploring the load distribution potential among air conditioning units, it further meets economic needs while satisfying user and dispatch requirements.

[0101] While some embodiments of this disclosure have been shown and described, those skilled in the art will understand that modifications may be made to these embodiments without departing from the principles and spirit of this disclosure, which are defined by the claims and their equivalents.

Claims

1. A control method for an energy storage air conditioning system, characterized in that, The control method includes: In response to receiving a dispatch instruction from the load dispatching platform, the target time-sharing load of the energy storage air conditioning system within a preset time period is determined; Based on the target time-of-use load, determine the load allocation strategy for the energy storage air conditioning system; According to the load allocation strategy, the multiple air conditioning units of the energy storage air conditioning system are time-sharingly loaded to ensure that the sum of the energy efficiency ratios of the multiple air conditioning units meets a first preset requirement. The first preset requirement includes maximizing the sum of the energy efficiency ratios of the multiple air conditioning units. The sum of the energy efficiency ratios is determined based on the sum of the calculated energy-saving loads and the sum of the electrical loads of the multiple air conditioning units. The calculated energy-saving load of each air conditioning unit is determined based on its electrical load and calculated energy efficiency ratio. The calculated energy efficiency ratio of each air conditioning unit is determined based on the relationship function between its partial load rate and energy efficiency ratio, and the partial load rate. The partial load rate of each air conditioning unit is the ratio of its energy-saving load to its rated energy-saving load. The relationship function for each air conditioning unit is obtained through at least one of the following methods: testing, obtaining equipment nameplate information. The control method further includes: Based on real-time meteorological data, a preset model is used to predict the user's energy demand load within the preset time period. The step of determining the target time-of-use load of the energy storage air conditioning system within a preset time period includes: In response to the fact that the scheduling instruction is a non-mandatory scheduling instruction, the energy demand load is taken as the target time-sharing load of the energy storage air conditioning system within the preset time period; In response to the dispatching instruction being a mandatory dispatching instruction, the specified electrical load of the dispatching instruction is taken as the target time-sharing load of the energy storage air conditioning system within the preset time period.

2. The control method as described in claim 1, characterized in that, The steps for determining the load allocation strategy of the energy storage air conditioning system based on the target time-of-use load include: The target time-of-use load and the equipment attributes of the multiple air conditioning units are used as the first constraint conditions; Based on the first constraint, the load allocation strategy of the energy storage air conditioning system is obtained using the first optimization algorithm.

3. The control method as described in claim 1, characterized in that, The control method further includes: Based on market electricity prices and the energy demand load, the time-sharing operation strategy of the energy storage air conditioning system is determined within the preset time period; According to the time-sharing operation strategy, the operation mode of the energy storage air conditioning system is set in a time-sharing manner so that the electricity cost of the energy storage air conditioning system meets the second preset requirement.

4. The control method as described in claim 3, characterized in that, The energy storage air conditioning system includes multiple devices, which include at least one of energy release devices, energy storage devices, energy supply devices, and energy generation devices. The energy generation devices include the multiple air conditioning units, and the operating mode reflects the activation / deactivation status of the multiple devices.

5. The control method as described in claim 4, characterized in that, The operating modes include at least one of the following: shutdown mode, energy release mode, combined energy supply mode, energy storage mode, independent energy supply mode, and simultaneous energy storage and supply mode. The shutdown mode indicates that all equipment in the energy storage air conditioning system is in a deactivated state; the energy release mode indicates that only the energy release equipment is in an activated state; the combined energy supply mode indicates that only the energy release equipment, energy supply equipment, and energy generation equipment are in an activated state; the energy storage mode indicates that only the energy storage equipment and energy generation equipment are in an activated state; the independent energy supply mode indicates that only the energy supply equipment and energy generation equipment are in an activated state; and the simultaneous energy storage and supply mode indicates that only the energy storage equipment, energy supply equipment, and energy generation equipment are in an activated state.

6. The control method as described in claim 4, characterized in that, The steps for determining the time-of-use operation strategy of the energy storage air conditioning system within the preset time period based on market electricity prices and the energy demand load include: The energy demand load and the equipment attributes of the multiple devices are used as the second constraint conditions; Based on market electricity prices and the second constraint, the time-sharing operation strategy of the energy storage air conditioning system within the preset time period is determined using the second optimization algorithm.

7. The control method as described in claim 6, characterized in that, In response to the multiple air conditioning units being in an activated state based on a time-sharing operation strategy, the load of the multiple air conditioning units in the energy storage air conditioning system is distributed according to the load allocation strategy.

8. The control method as described in claim 1, characterized in that, The control method further includes: Based on the energy demand load, the user's energy demand preference range, and the equipment operation status of the energy storage air conditioning system, the adjustable load range of the energy storage air conditioning system is determined, and the adjustable load range is uploaded to the load dispatching platform.

9. A control device for an energy storage air conditioning system, characterized in that, The control device includes: The load determination unit is used to determine the target time-sharing load of the energy storage air conditioning system within a preset time period in response to receiving a scheduling instruction from the load scheduling platform; A load allocation unit is used to determine the load allocation strategy of the energy storage air conditioning system based on the target time-sharing load. The strategy execution unit is configured to perform time-sharing load allocation on multiple air conditioning units of the energy storage air conditioning system according to the load allocation strategy, so that the sum of the energy efficiency ratios of the multiple air conditioning units meets a first preset requirement. The first preset requirement includes maximizing the sum of the energy efficiency ratios of the multiple air conditioning units. The sum of the energy efficiency ratios is determined based on the sum of the calculated energy-capacity loads and the sum of the electrical loads of the multiple air conditioning units. The calculated energy-capacity load of each air conditioning unit is determined based on its electrical load and calculated energy efficiency ratio. The calculated energy efficiency ratio of each air conditioning unit is determined based on the relationship function between its partial load rate and energy efficiency ratio, and the partial load rate. The partial load rate of each air conditioning unit is the ratio of its energy-capacity load to its rated energy-capacity load. The relationship function for each air conditioning unit is obtained through at least one of the following methods: testing, obtaining equipment nameplate information. The load forecasting unit is used to forecast the user's energy demand load within the preset time period based on real-time meteorological data and using a preset model. The load determination unit is further configured to, in response to the dispatch instruction being a non-mandatory dispatch instruction, use the energy demand load as the target time-sharing load of the energy storage air conditioning system within the preset time period; and in response to the dispatch instruction being a mandatory dispatch instruction, use the specified electrical load of the dispatch instruction as the target time-sharing load of the energy storage air conditioning system within the preset time period.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the control method for the energy storage air conditioning system as described in any one of claims 1 to 8.

11. A computing device, characterized in that, The computing device includes: processor; and A memory storing a computer program, which, when executed by a processor, implements the control method for the energy storage air conditioning system as described in any one of claims 1 to 8.

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