Photovoltaic air conditioner and control method and system thereof

Abstract

The invention discloses a photovoltaic air conditioner and a control method and system thereof, and belongs to the technical field of photovoltaic air conditioners, and the control method comprises the steps that the photovoltaic power generation power at the current moment and the real-time indoor temperature of each function zone in a building are obtained; a demand partition set needing cold supply at the current moment and the current total air conditioner power demand are determined; selecting and executing a target strategy from preset control strategies, and dynamically distributing the photovoltaic power generation power in the demand partition set, so that the indoor temperature of each function partition in the demand partition set is adjusted to be within a preset comfortable temperature range; and when the photovoltaic power generation power or the state of the demand partition set changes, ending the current control period and starting the control process of the next control period. According to the invention, through dynamic distribution of the photovoltaic power generation power in each partition of the building, indoor thermal comfort is guaranteed, and meanwhile, the on-site consumption proportion of photovoltaic power generation and the overall energy efficiency of the air conditioning system are remarkably improved.

Description

Technical Field

[0001] This invention belongs to the field of photovoltaic air conditioning technology, and more specifically, relates to a photovoltaic air conditioner and its control method and system. Background Technology

[0002] Photovoltaic air conditioning systems utilize photovoltaic (PV) power generation to directly drive air conditioning operation, representing an effective technology for achieving building energy conservation and carbon reduction, as well as the local consumption of distributed PV power. In summer, the PV power generation curve and the air conditioning power consumption curve show a certain degree of temporal convergence. However, PV power generation is significantly affected by weather conditions and exhibits marked fluctuations. In large public buildings, air conditioning systems typically operate under a fixed temperature, covering all air-conditioned spaces throughout the entire operating period. This results in a relatively rigid load that cannot adapt to changes in PV output, leading to a significant real-time energy mismatch between PV power generation and air conditioning power consumption.

[0003] This mismatch leads to both wasted photovoltaic power generation (curtailment) and disruptions to the power grid, and can also result in decreased indoor thermal comfort due to insufficient power supply. Current technologies often mitigate this problem by adding energy storage batteries, but this significantly increases system costs and is therefore less economical.

[0004] The commonly used approach in existing technologies—which adjusts power output by comparing the difference between photovoltaic power generation and air conditioning operating power, and then adjusting the set temperature within a uniform indoor temperature range—has a relatively simple control logic. This approach fails to fully consider the spatiotemporal differences in usage time, occupancy density, and heat load characteristics of different functional areas within large buildings. Consequently, it cannot precisely tap into and utilize the building's inherent potential for flexible air conditioning load adjustment, resulting in limited real-time matching between photovoltaic power generation and air conditioning load, and inadequate performance in ensuring overall thermal comfort.

[0005] Therefore, there is an urgent need for a low-cost control method to improve the real-time energy matching performance of photovoltaic air conditioners. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a photovoltaic air conditioner and its control method and system.

[0007] The present invention adopts the following technical solution.

[0008] A first aspect of the present invention provides a photovoltaic air conditioning control method, comprising: Obtain the current photovoltaic power generation and the real-time indoor temperature of each functional area within the building; Based on the usage status information of each functional area within the building, determine the set of areas requiring cooling at the current moment, and determine the current total air conditioning power requirement of the set of areas requiring cooling. Based on the photovoltaic power generation, the current total air conditioning power demand, and the real-time indoor temperature of each functional zone in the demand zone set, a target strategy is selected from the preset control strategy and executed to dynamically allocate the photovoltaic power generation within the demand zone set, thereby adjusting the indoor temperature of each functional zone in the demand zone set to a preset comfortable temperature range. When the state of the photovoltaic power generation or the demand zone set changes, causing any functional zone that was originally within the comfortable temperature range to fall out of that range, the current control cycle ends and the control process of the next control cycle begins.

[0009] Optionally, the control strategy includes a default startup strategy, a dynamic power allocation strategy, and a pre-cooling control strategy; The selection and execution of the target strategy is a progressive execution, including: First, execute the default startup policy; If, after executing the default startup strategy, it is detected that the real-time indoor temperature of a functional zone in the set of required zones exceeds the comfortable temperature range, then the dynamic power allocation strategy is executed. After executing the default startup strategy, if the photovoltaic power generation exceeds the current air conditioning power demand, then the pre-cooling control strategy is executed.

[0010] Optionally, the default boot policy includes: The current photovoltaic power generation capacity is initially allocated according to the area ratio of each functional zone in the aforementioned demand partition set; The real-time indoor temperature of each functional zone in the demand zone set is obtained. When the real-time indoor temperature of each functional zone in the demand zone set is within the comfortable temperature range, the current power allocation is maintained until the next control cycle; otherwise, the power dynamic allocation strategy is switched to.

[0011] Optionally, the dynamic power allocation strategy includes: Identify overly cold zones in the set of required zones where the indoor temperature is below the lower limit of the comfort temperature range, and overly hot zones where the indoor temperature is above the upper limit of the comfort temperature range. The photovoltaic power generation allocated to the overcooled zone is transferred to the overheated zone in a set power step, and the indoor temperature of each functional zone in the demand zone set is re-detected. Based on the re-detected temperature results, determine whether the iteration termination condition is met; if not, repeat the power transfer and allocation step. The iteration termination condition is: The indoor temperature of each functional zone in the demand zoning set is within the comfortable temperature range, or the power transfer allocation cannot further improve the temperature distribution.

[0012] Optionally, the inability of the power transfer distribution to further improve the temperature distribution includes at least one of the following situations: The operating power of the air conditioning terminal in the subcooled zone has reached its lower allowable limit. The operating power of the air conditioning terminal in the overheated zone has reached its maximum allowable value; Continuing to perform power transfer allocation will cause the indoor temperature of other functional zones in the demand zoning set, excluding the overcooled zone and the overheated zone, to deviate from the comfort temperature range.

[0013] Optionally, the power step size is dynamically adjusted based on at least one of the following factors: the area of ​​the corresponding functional zone, the temperature difference between its indoor temperature and the boundary of the comfortable temperature range, and the photovoltaic power generation.

[0014] Optionally, when the photovoltaic power generation exceeds the current total air conditioning power demand of the demand zone set, the pre-cooling control strategy is executed, including: When there is a pre-cooling partition that is not currently part of the required partition set but will be used in the next moment, a pre-cooling operation is performed on the pre-cooling partition. The pre-cooling operation is to allocate redundant photovoltaic power to the pre-cooling partition so that its air conditioning can be turned on in advance for pre-cooling. The pre-cooling operation continues until the indoor temperature of the zone to be pre-cooled reaches the lower limit of the comfort temperature range, or continues until the redundant portion of the photovoltaic power generation is allocated, wherein the redundant portion of the photovoltaic power generation is the difference between the photovoltaic power generation and the current total air conditioning power demand of the demand zone set.

[0015] Optionally, the dynamic allocation is achieved by adjusting at least one of the compressor frequency, operating level, air volume, or start / stop status of the corresponding functional zone air conditioning terminal.

[0016] A second aspect of the present invention provides a photovoltaic air conditioning control system for implementing a photovoltaic air conditioning control method as described in the first aspect of the present invention, comprising: The module comprises a data acquisition module, a partition management module, a strategy execution module, and a periodic control module, among which: The data acquisition module is used to acquire the current photovoltaic power generation and the real-time indoor temperature of each functional area within the building. The zoning management module is used to determine the set of zoning zones that need cooling at the current moment based on the usage status information of each functional zone in the building, and to determine the current total air conditioning power demand of the set of zoning zones. The strategy execution module is used to select and execute a target strategy from a preset control strategy based on the photovoltaic power generation, the current total air conditioning power demand, and the real-time indoor temperature of each functional zone in the demand zone set, so as to dynamically allocate the photovoltaic power generation within the demand zone set. The cycle control module is used to end the current control cycle and start the next control cycle when the state of the photovoltaic power generation or the demand zone set changes, causing any functional zone that was originally in the preset comfortable temperature range to leave the range.

[0017] A third aspect of the present invention provides a photovoltaic air conditioner, comprising: Photovoltaic systems, air conditioning systems, and a photovoltaic air conditioning control system as described in the second aspect of the present invention.

[0018] Compared with the prior art, the beneficial effects of the present invention include at least the following: 1. This invention solves the problem of real-time mismatch between photovoltaic power generation and air conditioning power consumption by acquiring the real-time indoor temperature of each functional area in the building and dynamically determining the set of demand areas based on the usage status, and realizes the dynamic optimization allocation of photovoltaic power generation within the demand areas.

[0019] 2. This invention solves the problems of simple control logic and poor adaptability by setting a progressive control strategy, including a default start-up strategy, a dynamic power allocation strategy, and a pre-cooling control strategy. It realizes the intelligent selection of the optimal control strategy based on real-time photovoltaic power and temperature status, thereby improving the system's response flexibility and comfort.

[0020] 3. This invention solves the problem of some areas being too cold or too hot due to unreasonable initial power allocation by initially allocating photovoltaic power according to the area ratio through the default startup strategy, and realizes rapid initial matching and stable startup.

[0021] 4. This invention identifies overcooled and overheated zones through a dynamic power allocation strategy and transfers power in dynamic power steps, solving the problem that traditional fixed allocation methods cannot cope with temperature fluctuations, and achieving rapid equalization of indoor temperature and improved comfort.

[0022] 5. By setting multiple iteration termination conditions, this invention solves the problem of temperature runaway in other areas that may be caused during power transfer, and realizes fine power scheduling while ensuring overall comfort.

[0023] 6. This invention solves the problem of inconsistent control response caused by large differences in area, temperature difference, and power generation of different zones by dynamically adjusting the power step size, and realizes an adaptive and smooth power regulation process.

[0024] 7. This invention uses a pre-cooling control strategy to cool down the pre-cooling zone in advance, which solves the problem of ineffective utilization of excess photovoltaic power and realizes local consumption of photovoltaic power and load peak shaving and valley filling.

[0025] 8. This invention achieves dynamic power allocation through various terminal control methods (such as compressor frequency, air volume, start-stop, etc.), solving the problems of single control methods and poor adaptability, and realizing flexible compatibility and efficient control of different types of air conditioning terminals.

[0026] 9. This invention solves the problems of low integration and slow response in existing systems by using a system architecture that includes modules for data acquisition, partition management, strategy execution, and periodic control, and achieves fully automatic and highly responsive intelligent control of photovoltaic air conditioners.

[0027] 10. By integrating the photovoltaic system, the air conditioning system and the above-mentioned control system, this invention solves the problem of the separate operation of the photovoltaic and air conditioning systems, and realizes an integrated, high-efficiency and low-cost green building temperature control solution. Attached Figure Description

[0028] Figure 1 This is a flowchart of the control method provided according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a photovoltaic air conditioning system structure provided according to an embodiment of the present invention; Figure 3 This is a schematic diagram of a progressive boot default strategy process provided in accordance with an embodiment of the present invention; Figure 4 This is a schematic diagram of a progressive power dynamic allocation strategy provided in accordance with an embodiment of the present invention; Figure 5 This is a schematic diagram of a progressive precooling control strategy provided according to an embodiment of the present invention. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The described embodiments are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of this invention.

[0030] In Embodiment 1, the present invention provides a photovoltaic air conditioning control method, such as... Figure 1 As shown, it includes the following steps: Step 1: Obtain the current photovoltaic power generation and the real-time indoor temperature of each functional area within the building.

[0031] Step 2: Based on the usage status information of each functional area within the building, determine the set of areas requiring cooling at the current moment, and determine the current total air conditioning power demand of the set of areas requiring cooling.

[0032] Preferably, the usage status information of the functional partition includes: The personnel distribution characteristics, usage time plan, and spatial functional attributes of each functional zone.

[0033] For example, the basis for determining whether the air conditioner is on and the time period during which the air conditioner is on is the distribution characteristics of people in different functional rooms within the building. The air conditioner demand time for offices is the normal working time period of the people in that room; the air conditioner demand time for conference rooms can be determined based on the meeting reservation situation.

[0034] Step 3: Based on the photovoltaic power generation, the current total air conditioning power demand, and the real-time indoor temperature of each functional zone in the demand zone set, select and execute the target strategy from the preset control strategy to dynamically allocate the photovoltaic power generation within the demand zone set, thereby adjusting the indoor temperature of each functional zone in the demand zone set to a preset comfortable temperature range.

[0035] Preferably, the preset comfortable temperature range is determined according to the climate zone where the building is located; The upper and lower limits of the comfort temperature range are set based on thermal comfort research literature or field survey data.

[0036] Preferably, the control strategy includes a default startup strategy, a dynamic power allocation strategy, and a pre-cooling control strategy; The selection and execution of the target strategy is a progressive execution, including: First, execute the default startup policy; If, after executing the default startup strategy, it is detected that the real-time indoor temperature of a functional zone in the set of required zones exceeds the comfortable temperature range, then the dynamic power allocation strategy is executed. After executing the default startup strategy, if the photovoltaic power generation exceeds the current air conditioning power demand, then the pre-cooling control strategy is executed.

[0037] It should be noted that this invention solves the problems of simple control logic and poor adaptability by setting a progressive control strategy, including a default power-on strategy, a dynamic power allocation strategy, and a pre-cooling control strategy. It realizes the intelligent selection of the optimal control strategy based on real-time photovoltaic power and temperature status, thereby improving the system's response flexibility and comfort.

[0038] More preferably, the default startup policy includes: The current photovoltaic power generation capacity is initially allocated according to the area ratio of each functional zone in the aforementioned demand partition set; The real-time indoor temperature of each functional zone in the demand zone set is obtained. When the real-time indoor temperature of each functional zone in the demand zone set is within the comfortable temperature range, the current power allocation is maintained until the next control cycle; otherwise, the power dynamic allocation strategy is switched to.

[0039] It should be noted that this invention solves the problem of some areas being too cold or too hot due to unreasonable initial power allocation by initially allocating photovoltaic power according to the area ratio through the default startup strategy, and realizes rapid initial matching and stable startup, laying the foundation for subsequent dynamic optimization.

[0040] More preferably, the dynamic power allocation strategy includes: Identify overly cold zones in the set of required zones where the indoor temperature is below the lower limit of the comfort temperature range, and overly hot zones where the indoor temperature is above the upper limit of the comfort temperature range. The photovoltaic power generation allocated to the overcooled zone is transferred to the overheated zone in a set power step, and the indoor temperature of each functional zone in the demand zone set is re-detected. Based on the re-detected temperature results, determine whether the iteration termination condition is met; if not, repeat the power transfer and allocation step. The iteration termination condition is: The indoor temperature of each functional zone in the demand zoning set is within the comfortable temperature range, or the power transfer allocation cannot further improve the temperature distribution.

[0041] It should be noted that this invention identifies overcooled and overheated zones through a dynamic power allocation strategy and transfers power in dynamic power steps, solving the problem that traditional fixed allocation methods cannot cope with temperature fluctuations, and achieving rapid equalization of indoor temperature and improved comfort.

[0042] More preferably, the inability of the power transfer distribution to further improve the temperature distribution includes at least one of the following situations: The operating power of the air conditioning terminal in the subcooled zone has reached its lower allowable limit. The operating power of the air conditioning terminal in the overheated zone has reached its maximum allowable value; Continuing to perform power transfer allocation will cause the indoor temperature of other functional zones in the demand zoning set, excluding the overcooled zone and the overheated zone, to deviate from the comfort temperature range.

[0043] It should be noted that by setting multiple iteration termination conditions, this invention solves the problem of temperature runaway in other areas that may be caused during the power transfer process, and realizes fine-grained power scheduling while ensuring overall comfort.

[0044] More preferably, the power step size is dynamically adjusted based on at least one of the following factors: the area of ​​the corresponding functional zone, the temperature difference between its indoor temperature and the boundary of the comfortable temperature range, and the photovoltaic power generation.

[0045] It should be noted that this invention solves the problem of inconsistent control response caused by large differences in area, temperature difference, and power generation of different zones by dynamically adjusting the power step size, thereby realizing an adaptive and smooth power adjustment process and improving control accuracy and response speed.

[0046] Preferably, the pre-cooling control strategy is executed when the photovoltaic power generation exceeds the current total air conditioning power demand of the demand zone set, including: When there is a pre-cooling partition that is not currently part of the required partition set but will be used in the next moment, a pre-cooling operation is performed on the pre-cooling partition. The pre-cooling operation is to allocate redundant photovoltaic power to the pre-cooling partition so that its air conditioning can be turned on in advance for pre-cooling. The pre-cooling operation continues until the indoor temperature of the zone to be pre-cooled reaches the lower limit of the comfort temperature range, or continues until the redundant portion of the photovoltaic power generation is allocated, wherein the redundant portion of the photovoltaic power generation is the difference between the photovoltaic power generation and the current total air conditioning power demand of the demand zone set.

[0047] It should be noted that this invention uses a pre-cooling control strategy to cool down the pre-cooling zone in advance, which solves the problem of ineffective utilization of excess photovoltaic power, realizes the local consumption of photovoltaic power and load peak shaving and valley filling, and reduces the start-up load of air conditioning in the next period.

[0048] It should be noted that the pre-cooling zone is defined as: a functional zone that does not belong to the set of required zones in the current control cycle, but is expected to have usage needs in the next control cycle according to the pre-planned information of the building management system (such as meeting room schedules, office area usage plans, etc.).

[0049] Preferably, the dynamic allocation is achieved by adjusting at least one of the compressor frequency, operating level, air volume, or start / stop status of the corresponding functional zone air conditioning terminal.

[0050] It should be noted that this invention achieves dynamic power allocation through various terminal control methods (such as compressor frequency, air volume, start-stop, etc.), which solves the problems of single control methods and poor adaptability, and realizes flexible compatibility and efficient control of different types of air conditioning terminals.

[0051] Step 4: When the state of the photovoltaic power generation or the demand zone set changes, causing any functional zone that was originally within the comfortable temperature range to fall out of that range, the current control cycle ends and the control process of the next control cycle begins.

[0052] It should be noted that this invention solves the problem of real-time mismatch between photovoltaic power generation and air conditioning power consumption by acquiring the real-time indoor temperature of each functional area in the building and dynamically determining the set of demand areas based on the usage status. This enables the dynamic optimization allocation of photovoltaic power generation within the demand areas, thereby maximizing the self-consumption rate of photovoltaic power while ensuring comfort.

[0053] In Embodiment 2, this invention provides a photovoltaic air conditioning control system for implementing the photovoltaic air conditioning control method described in Embodiment 1, comprising: The module comprises a data acquisition module, a partition management module, a strategy execution module, and a periodic control module, among which: The data acquisition module is used to acquire the current photovoltaic power generation and the real-time indoor temperature of each functional area within the building. The zoning management module is used to determine the set of zoning zones that need cooling at the current moment based on the usage status information of each functional zone in the building, and to determine the current total air conditioning power demand of the set of zoning zones. The strategy execution module is used to select and execute a target strategy from a preset control strategy based on the photovoltaic power generation, the current total air conditioning power demand, and the real-time indoor temperature of each functional zone in the demand zone set, so as to dynamically allocate the photovoltaic power generation within the demand zone set. The cycle control module is used to end the current control cycle and start the next control cycle when the state of the photovoltaic power generation or the demand zone set changes, causing any functional zone that was originally in the preset comfortable temperature range to leave the range.

[0054] It should be noted that this invention, through a system architecture that includes modules for data acquisition, partition management, strategy execution, and periodic control, solves the problems of low integration and slow response in existing systems, and realizes fully automatic and highly responsive intelligent control of photovoltaic air conditioners, thereby improving the overall reliability of the system and the user experience.

[0055] Specifically, the acquisition of the photovoltaic power generation at the current moment is achieved through an energy manager.

[0056] In Embodiment 3, the present invention provides a photovoltaic air conditioner, such as... Figure 2 As shown, it includes: Photovoltaic system, air conditioning system, and a photovoltaic air conditioning control system as described in Example 2.

[0057] Specifically, a photovoltaic system includes: photovoltaic modules, inverters, distribution cabinets, energy management systems (EMS), and energy storage batteries; An air conditioning system includes: an evaporator, a throttling device, a dryer filter, a liquid receiver, a condenser, a gas-liquid separator, a compressor, and an oil separator.

[0058] It should be noted that by integrating the photovoltaic system, the air conditioning system and the aforementioned control system, this invention solves the problem of the separate operation of the photovoltaic and air conditioning systems, and realizes an integrated, high-efficiency, and low-cost green building temperature control solution, which has significant economic and environmental benefits.

[0059] In Embodiment 4, this invention aims to address the technical problems of low real-time energy matching, low local photovoltaic power generation absorption rate, and large fluctuations in indoor thermal environment caused by the rigid operation mode of photovoltaic air conditioning systems. Through the following dynamic zoned temperature response control method based on real-time photovoltaic power generation fluctuations, the power consumption of the air conditioning system is dynamically adjusted to actively match the fluctuating photovoltaic power generation without significantly increasing hardware costs, thereby improving the overall energy efficiency and comfort of the system.

[0060] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Embodiment 4 is merely illustrative and does not constitute a limitation on actual use.

[0061] I. System Initialization and Parameter Settings First, based on the climate zone and building type of the area where the building is located, determine the human thermal comfort temperature range for each functional zone, i.e., the temperature setting range of the air conditioning terminal. T set,min , T set,max ].

[0062] For example, based on existing technical literature, the comfortable temperature range for summer cooling in hot-summer and cold-winter regions can be determined to be 22.6℃ to 29.4℃. A more precise range can also be determined through on-site surveys and questionnaires. Subsequently, the building's functional zoning data (such as offices, meeting rooms, etc.) and their corresponding temperature setting range information are preset or written into the system controller.

[0063] II. Implementation process of the control method Taking optimization within a control cycle as an example, the execution flow of the present invention is explained.

[0064] Step S1: The system reads the photovoltaic power generation at the current moment through its data acquisition unit (e.g., the system energy manager). P PV (t ).

[0065] Step S2: Based on the dynamic zoning control logic and combined with the preset usage status information of each functional zone within the building (e.g., offices based on working hours, meeting rooms based on reservation information), determine the functional zones that need to have their air conditioning turned on at the current moment, forming a set of demand zones. Simultaneously, based on factors such as the area of ​​each zone, the temperature difference between the set temperature and the current indoor temperature, estimate the current total air conditioning power demand of this set.

[0066] Step S3: Execute a progressive control strategy. The selection and execution of the strategy follow a progressive logic: Strategy 1, such as Figure 3 As shown, the default startup strategy is to first execute this strategy to calculate the total area of ​​rooms that require air conditioning at the current moment. S total ; Then photovoltaic power generation P PV ( t According to the area of ​​each room S i The initial air conditioning power allocation for each room is obtained by allocating the power based on the proportion of the room area required for total air conditioning. P AC,i ( t )= P PV ( t )×( S i / S total ); Then, the indoor temperature of each air-conditioned zone is determined by reading the temperature data measured by the thermocouples at the air conditioning terminal. T i ; This cycle continues until the next moment.

[0067] Strategy Two, such as Figure 4 As shown, the power dynamic allocation strategy is as follows: if the temperature of each air-conditioned room is too cold or too hot at the current moment when the system is executing the default startup strategy, then optimization will be enabled.

[0068] First, determine the number of rooms requiring air conditioning at the current moment. N t If and only if N t If the value is greater than 1, proceed to the next step; If the temperature in some air-conditioned rooms is too cold or too hot at any given moment, the photovoltaic power generation will be dynamically distributed from the low-temperature rooms to the high-temperature rooms in fixed increments (e.g., 100W). Then, the indoor temperature of each air-conditioned zone will be determined by reading the temperature data measured by the thermocouples at the air conditioning terminals.T i ; If the room temperature is still too cold or too hot after dynamic allocation, repeat the dynamic allocation operation. If the temperature in each room reaches a comfortable range or the photovoltaic power generation can no longer be dynamically allocated, the current power allocation status will be maintained, and control will proceed to the next moment.

[0069] Specifically, the following situations demonstrate that photovoltaic power generation can no longer be dynamically allocated: The power of the air conditioning terminal in the subcooled zone has been reduced to its minimum permissible operating limit (such as minimum power or shutdown threshold). The power of the air conditioning terminal in the overheated zone has reached its maximum permissible operating limit (such as rated power or compressor maximum frequency). Continuing to adjust the temperature may fail to bring the overly cold or overheated zones back to a comfortable range, or it may cause other zones that were originally within a comfortable range to deviate from their comfortable range. For example, if room A is in a comfortable temperature range and room B is in an overheated state, after allocating the power from room A to room B, although the temperature in room B will return to a comfortable temperature range, room A will become an overheated room due to the reduced input power.

[0070] Specifically, the fixed step size (e.g., 100W) can be dynamically adjusted. The size of the step size is mainly related to the temperature difference between the room temperature and the comfort temperature boundary, the room area, and the power generation. The reason for limiting the step size is to prevent excessive power distribution at one time from causing the temperature of the originally low-temperature room to be higher than the upper limit of the comfort temperature or the temperature of the originally high-temperature room to be lower than the lower limit of the comfort temperature.

[0071] Strategy 3, such as Figure 5 As shown, the pre-cooling control strategy is as follows: If, after executing the default strategy, the indoor temperature of all zones in the demand zone set is within a comfortable range, and the photovoltaic power generation is much greater than the air conditioning power demand at that moment, then the pre-cooling control strategy can be adopted.

[0072] First, determine if the number of rooms requiring air conditioning at the current moment is less than the total number of rooms (i.e., there are rooms where the air conditioning is not on). When the temperature in some rooms is below the lower limit of the comfortable temperature range... T set,min The redundant photovoltaic power generation will be dynamically allocated to the rooms to be pre-cooled, and their air conditioners will be turned on in advance for pre-cooling. The pre-cooling operation continues until the indoor temperature of the zone drops to near the lower limit of the comfort temperature, or until the redundant power generation is fully allocated, and then the cycle repeats until the next moment.

[0073] It should be noted that the criterion for determining whether the photovoltaic power generation is significantly greater than the current total air conditioning power demand in this strategy is: the difference between the photovoltaic power generation and the current total air conditioning power demand is not less than the minimum starting power of a single air conditioning terminal. This threshold ensures that the transferred redundant power is sufficient to drive one air conditioning terminal to start working, thereby initiating the pre-cooling operation.

[0074] For example, assuming the current time is 14:00, the system is within a balanced control cycle. A meeting room has a scheduled meeting at 15:00. Between 14:00 and 15:00, this meeting room is not part of the current demand zone set. If there is significant redundancy in photovoltaic power generation at this time, the meeting room can be identified as a zone to be pre-cooled, and its air conditioning can be turned on in advance between 14:00 and 15:00. This operation can, on the one hand, absorb the current excess photovoltaic power generation, and on the other hand, by cooling in advance, reduce the instantaneous load required for the air conditioning to reach the set temperature after the meeting starts at 15:00, thus smoothing the load and improving energy efficiency.

[0075] Step S4: The above strategy is executed within a single control cycle until dynamic equilibrium is reached (i.e., the power distribution is stable and the temperature of each zone is comfortable). The length of the control cycle is dynamic, ranging from several seconds to several hours, depending on the duration for which the system maintains equilibrium. When a disturbance occurs in the system state—i.e., due to fluctuations in photovoltaic power generation or changes in the set of demand zones (such as load changes caused by personnel entering or leaving the area)—causing any zone whose temperature was originally within the comfortable range to deviate from that range, the current control cycle ends, and the system immediately starts the next control cycle, beginning a new optimization process from step S1.

[0076] The dynamic power allocation described in this embodiment can be achieved through various methods such as compressor frequency conversion control, terminal air volume adjustment, chilled water supply and return temperature adjustment, and independent terminal start-stop control. It should be noted that the control method of this invention is mainly for summer cooling conditions when photovoltaic power generation is abundant; in winter, due to low photovoltaic power generation and the potential need for electric auxiliary heating, grid supplementation is usually required, and therefore it is not the focus of this solution.

[0077] The dynamic power allocation mentioned in this embodiment refers to adjusting the power of air conditioning terminals in different spaces. Depending on the different air conditioning terminals, the control methods include, but are not limited to, compressor frequency conversion control, temperature difference level control, terminal air volume adjustment, chilled water supply and return water temperature adjustment, and independent terminal start-stop control.

[0078] Through the above implementation methods, the present invention can effectively improve the real-time energy matching degree and indoor thermal comfort level of photovoltaic air conditioning system, and reduce system configuration cost, thus having significant practical value and promotion prospects.

[0079] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A photovoltaic air conditioning control method, characterized in that, include: Obtain the current photovoltaic power generation and the real-time indoor temperature of each functional area within the building; Based on the usage status information of each functional area within the building, determine the set of areas requiring cooling at the current moment, and determine the current total air conditioning power requirement of the set of areas requiring cooling. Based on the photovoltaic power generation, the current total air conditioning power demand, and the real-time indoor temperature of each functional zone in the demand zone set, a target strategy is selected from the preset control strategy and executed to dynamically allocate the photovoltaic power generation within the demand zone set, thereby adjusting the indoor temperature of each functional zone in the demand zone set to a preset comfortable temperature range. When the state of the photovoltaic power generation or the demand zone set changes, causing any functional zone that was originally within the comfortable temperature range to fall out of that range, the current control cycle ends and the control process of the next control cycle begins.

2. The photovoltaic air conditioning control method according to claim 1, characterized in that: The control strategies include a default startup strategy, a dynamic power allocation strategy, and a pre-cooling control strategy. The selection and execution of the target strategy is a progressive execution, including: First, execute the default startup policy; If, after executing the default startup strategy, it is detected that the real-time indoor temperature of a functional zone in the set of required zones exceeds the comfortable temperature range, then the dynamic power allocation strategy is executed. After executing the default startup strategy, if the photovoltaic power generation exceeds the current air conditioning power demand, then the pre-cooling control strategy is executed.

3. The photovoltaic air conditioning control method according to claim 2, characterized in that: The default startup policy includes: The current photovoltaic power generation capacity is initially allocated according to the area ratio of each functional zone in the aforementioned demand partition set; The real-time indoor temperature of each functional zone in the demand zone set is obtained. When the real-time indoor temperature of each functional zone in the demand zone set is within the comfortable temperature range, the current power allocation is maintained until the next control cycle; otherwise, the power dynamic allocation strategy is switched to.

4. The photovoltaic air conditioning control method according to claim 2, characterized in that: The dynamic power allocation strategy includes: Identify overly cold zones in the set of required zones where the indoor temperature is below the lower limit of the comfort temperature range, and overly hot zones where the indoor temperature is above the upper limit of the comfort temperature range. The photovoltaic power generation allocated to the overcooled zone is transferred to the overheated zone in a set power step, and the indoor temperature of each functional zone in the demand zone set is re-detected. Based on the re-detected temperature results, determine whether the iteration termination condition is met; if not, repeat the power transfer and allocation step. The iteration termination condition is: The indoor temperature of each functional zone in the demand zoning set is within the comfortable temperature range, or the power transfer allocation cannot further improve the temperature distribution.

5. A photovoltaic air conditioning control method according to claim 4, characterized in that: The inability of the power transfer distribution to further improve the temperature distribution includes at least one of the following situations: The operating power of the air conditioning terminal in the subcooled zone has reached its lower allowable limit. The operating power of the air conditioning terminal in the overheated zone has reached its maximum allowable value; Continuing to perform power transfer allocation will cause the indoor temperature of other functional zones in the demand zoning set, excluding the overcooled zone and the overheated zone, to deviate from the comfort temperature range.

6. The photovoltaic air conditioning control method according to claim 4, characterized in that: The power step size is dynamically adjusted based on at least one of the following factors: the area of ​​the corresponding functional zone, the temperature difference between its indoor temperature and the boundary of the comfortable temperature range, and the photovoltaic power generation.

7. The photovoltaic air conditioning control method according to claim 2, characterized in that: When the photovoltaic power generation exceeds the current total air conditioning power demand of the demand zone set, the pre-cooling control strategy is executed, including: When there is a pre-cooling partition that is not currently part of the required partition set but will be used in the next moment, a pre-cooling operation is performed on the pre-cooling partition. The pre-cooling operation is to allocate redundant photovoltaic power to the pre-cooling partition so that its air conditioning can be turned on in advance for pre-cooling. The pre-cooling operation continues until the indoor temperature of the zone to be pre-cooled reaches the lower limit of the comfort temperature range, or continues until the redundant portion of the photovoltaic power generation is allocated, wherein the redundant portion of the photovoltaic power generation is the difference between the photovoltaic power generation and the current total air conditioning power demand of the demand zone set.

8. The photovoltaic air conditioning control method according to claim 1, characterized in that: The dynamic allocation is achieved by adjusting at least one of the following methods: compressor frequency, operating speed, air volume, or start / stop status of the air conditioning terminal in the corresponding functional zone.

9. A photovoltaic air conditioning control system, used to implement the photovoltaic air conditioning control method according to any one of claims 1-8, characterized in that, include: The module comprises a data acquisition module, a partition management module, a strategy execution module, and a periodic control module, among which: The data acquisition module is used to acquire the current photovoltaic power generation and the real-time indoor temperature of each functional area within the building. The zoning management module is used to determine the set of zoning zones that need cooling at the current moment based on the usage status information of each functional zone in the building, and to determine the current total air conditioning power demand of the set of zoning zones. The strategy execution module is used to select and execute a target strategy from a preset control strategy based on the photovoltaic power generation, the current total air conditioning power demand, and the real-time indoor temperature of each functional zone in the demand zone set, so as to dynamically allocate the photovoltaic power generation within the demand zone set. The cycle control module is used to end the current control cycle and start the next control cycle when the state of the photovoltaic power generation or the demand zone set changes, causing any functional zone that was originally in the preset comfortable temperature range to leave the range.

10. A photovoltaic air conditioner, characterized in that, include: A photovoltaic system, an air conditioning system, and a photovoltaic air conditioning control system as described in claim 9.

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