Method and device for adjusting power module, air conditioning equipment and storage medium

Abstract

The application relates to a power module adjusting method and device, an air conditioning equipment and a storage medium. The power module is powered and operated by a preset photovoltaic module. The method comprises the following steps: predicting power generation capacity of the photovoltaic module in a preset future time period; determining a parameter value range of a preset operating parameter of the power module in the future time period according to the power generation capacity; and adjusting a parameter value of the preset operating parameter according to the parameter value range. Thus, the accurate matching of photovoltaic power supply and power module power consumption can be realized, so that the energy utilization rate and the operating stability of the air conditioning unit in an off-grid state are improved.

Description

Technical Field

[0001] This application relates to the field of air conditioning technology, and in particular to a method, device, air conditioning equipment and storage medium for adjusting a power module. Background Technology

[0002] In the operation and control of multi-split air conditioning units powered by traditional photovoltaic and grid, when the multi-split air conditioning unit is in grid-connected mode (prioritizing photovoltaic power generation and the grid supplying power on demand), the photovoltaic and grid can complement each other and provide balanced power, thus providing a relatively stable power generation for the compressor. This ensures the stable operation of the compressor while achieving efficient utilization of electrical energy.

[0003] However, when the multi-split air conditioner is in off-grid mode (relying solely on photovoltaic power generation, with the grid not participating in power supply), the photovoltaic power generation is significantly affected by environmental factors such as weather, light intensity, and temperature, resulting in significant time variability and uncertainty. This means that when the photovoltaic output power is higher than the compressor's maximum operating parameters at a certain moment, some electrical energy cannot be effectively utilized by the compressor, leading to energy waste. Conversely, when the photovoltaic power is lower than the compressor's maximum operating parameters, the compressor will be unable to rely on the grid for supplemental power.

[0004] Therefore, in the operation and control of multi-split units powered by traditional photovoltaic grid power, when the multi-split unit is in off-grid mode, it is impossible to guarantee the stable operation of the compressor and the efficient utilization of electrical energy. Summary of the Invention

[0005] This application provides a method, device, air conditioning equipment, and storage medium for regulating a power module, in order to solve the technical problem that in the operation control of multi-split units powered by traditional photovoltaic grid power, when the multi-split unit is in off-grid mode, the compressor cannot be guaranteed to operate stably and the power can be used efficiently.

[0006] In a first aspect, this application provides a method for adjusting a power module, wherein the power module operates by being powered by a preset photovoltaic module, the method comprising:

[0007] Predict the power generation capacity of the photovoltaic module within a preset future time period;

[0008] Based on the power generation capacity, determine the range of preset operating parameters for the power module within the future time period;

[0009] The parameter values ​​of the preset operating parameters are adjusted according to the parameter value range.

[0010] As an optional implementation, predicting the power generation capacity of the photovoltaic module within a preset future time period includes:

[0011] Obtain the first correlation between the weather information and power generation capacity corresponding to the pre-trained photovoltaic module;

[0012] Obtain future weather information for the specified future time period;

[0013] Based on the future weather information and the first correlation, the power generation capacity of the photovoltaic module in the future time period is determined.

[0014] As an optional implementation, the first association is constructed in the following way:

[0015] Obtain multiple solar irradiance values ​​within a preset historical time period, and the historical power generation capacity corresponding to each solar irradiance value;

[0016] Obtain the power generation coefficient and fitting coefficient corresponding to the photovoltaic module;

[0017] Based on the power generation coefficient and the fitting coefficient, a first relationship curve between solar irradiance and power generation capacity is constructed.

[0018] The first correlation relationship is obtained by fitting the first relationship curve based on the irradiance and the historical power generation capacity.

[0019] As an optional implementation, the power generation capacity is a set of power generation capacities including multiple power generation capacities, and the preset operating parameter is the operating frequency;

[0020] The step of determining the range of preset operating parameters for the power module within the future time period based on the power generation capacity includes:

[0021] From the set of power generation capacities, determine the maximum power generation capacity;

[0022] Obtain the second correlation between the preset operating parameters and operating power of the pre-constructed power module;

[0023] Based on the maximum power generation and the second correlation, determine the maximum parameter value of the power module in the future time period;

[0024] Based on the maximum parameter value, the parameter value range of the power module is determined.

[0025] As an optional implementation, the second association is constructed in the following way:

[0026] Obtain historical parameter values ​​of multiple preset operating parameters of the power module within a preset historical time period, and the historical operating power corresponding to each historical parameter value;

[0027] Obtain the module parameters and fitting coefficients corresponding to the power module;

[0028] Based on the module parameters and the fitting coefficients, a second relationship curve between the operating power and the preset operating parameters is constructed.

[0029] The second relationship curve is fitted based on the historical parameter values ​​and the historical operating power to obtain the second correlation relationship.

[0030] As an optional implementation, there are multiple power modules, and each power module has its own corresponding photovoltaic module, the second association relationship, and the maximum power generation.

[0031] Determining the maximum parameter value of the power module within the future time period based on the maximum power generation and the second correlation includes:

[0032] Identify the operating power modules and non-operating power modules in the power module; wherein, the non-operating power modules are modules whose preset operating parameters are not adjusted;

[0033] The maximum power generation of the non-operating power module is allocated to the operating power module according to the target ratio to update the maximum power generation of the operating power module and obtain the new maximum power generation of the operating power module.

[0034] For each of the aforementioned operating power modules, the maximum parameter value corresponding to the operating power module is determined based on the new maximum power generation and the second correlation relationship.

[0035] As an optional implementation, adjusting the parameter values ​​of the preset operating parameters according to the parameter value range includes:

[0036] Obtain the current power generation capacity of the photovoltaic module at the current moment;

[0037] Based on the current power generation capacity, determine the current parameter values ​​of the preset operating parameters of the power module;

[0038] If it is determined that the current parameter value is not within the range of the parameter value, the current parameter value is adjusted so that the current parameter value is within the range of the parameter value.

[0039] As an optional implementation, the parameter value range includes a maximum parameter value and a minimum parameter value;

[0040] The adjustment of the current parameter value includes:

[0041] If the current parameter value is determined to be greater than or equal to the maximum parameter value, the parameter adjustment type of the power module is obtained;

[0042] The current parameter value of the power module is adjusted according to the parameter adjustment type.

[0043] As an optional implementation, the preset operating parameter is the operating frequency of the power module, and adjusting the current parameter value of the power module according to the parameter adjustment type includes:

[0044] When the parameter adjustment type is fixed frequency adjustment, determine the frequency level corresponding to the current parameter value; adjust the frequency level down by at least one level, and adjust the level corresponding to the minimum parameter value up by at least one level;

[0045] When the parameter adjustment type is frequency conversion adjustment, a preset first frequency adjustment ratio and a preset second frequency adjustment ratio are determined; the current parameter value is lowered according to the first frequency adjustment ratio, and the minimum parameter value is increased according to the second frequency adjustment ratio.

[0046] As an optional implementation, there are multiple power modules, and each power module has its own corresponding photovoltaic module; determining the current parameter value of the preset operating parameters of the power module based on the current power generation capacity includes:

[0047] Identify the operating power modules and non-operating power modules in the power module; wherein, the non-operating power modules are modules whose preset operating parameters are not adjusted;

[0048] The current power generation capacity corresponding to the non-operating power module is allocated to the operating power module according to the target ratio to update the current power generation capacity of the operating power module and obtain the new current power generation capacity corresponding to the operating power module.

[0049] For each of the operating power modules, the current parameter value of the preset operating parameters of the operating power module is determined based on the new current power generation capacity corresponding to the operating power module.

[0050] As an optional implementation, the target ratio is determined in the following way:

[0051] Obtain the load requirement of the temperature regulation module corresponding to each of the aforementioned operating power modules;

[0052] The target ratio among the operating power modules is determined based on the load demand corresponding to each of the operating power modules.

[0053] As an optional implementation, the current power generation capacity is the current power output of the photovoltaic module. After adjusting the current parameter value, the method further includes:

[0054] Determine the operating power of the power module corresponding to the adjusted current parameter value;

[0055] Determine the power difference between the operating power and the current generating power;

[0056] If the power difference is determined to be greater than a preset difference threshold, the range of the parameter value is adjusted.

[0057] Secondly, this application provides an adjustment device for a power module, wherein the power module operates by being powered by a preset photovoltaic module, and the device includes:

[0058] A power generation capacity prediction module is used to predict the power generation capacity of the photovoltaic module within a preset future time period;

[0059] The parameter value range determination module is used to determine the parameter value range of the preset operating parameters of the power module in the future time period based on the power generation capacity.

[0060] The parameter value adjustment module is used to adjust the parameter value of the preset operating parameter according to the parameter value range.

[0061] Thirdly, this application provides an air conditioning device, including: a power module, a photovoltaic module, a processor, a communication interface, a memory, and a communication bus;

[0062] The photovoltaic module is used to supply power to the power module.

[0063] The power module is used to provide power to the air conditioning equipment;

[0064] The processor, communication interface, and memory communicate with each other via a communication bus; the memory is used to store computer programs; the processor is used to implement the adjustment method of the power module in any one of the first aspects when executing the computer program.

[0065] Fourthly, this application provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the adjustment method of the power module described in any one of the first aspects.

[0066] Compared with the prior art, the above-mentioned technical solution provided in this application has the following advantages: The method provided in this application can avoid the parameter setting lag problem caused by photovoltaic power fluctuations in advance by predicting the future photovoltaic power generation capacity, and avoid the mismatch between the power module and the photovoltaic power when the power module is running with fixed parameters; at the same time, by determining and adjusting the parameter value range, the operating parameters of the power module can always be adapted to the photovoltaic power supply capacity, ensuring that the power module does not exceed the upper limit of photovoltaic power supply and operates stably, and maximizing the utilization of photovoltaic power. Thus, the precise matching between photovoltaic power supply and the power demand of the power module can be achieved, thereby improving the energy utilization rate and operational stability of the air conditioning unit in the off-grid state. Attached Figure Description

[0067] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0068] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0069] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0070] Figure 1 A flowchart illustrating an embodiment of a power module adjustment method provided in this application;

[0071] Figure 2 A flowchart illustrating an embodiment of another power module adjustment method provided in this application;

[0072] Figure 3 A flowchart illustrating an embodiment of another power module adjustment method provided in this application;

[0073] Figure 4 A flowchart illustrating an embodiment of another power module adjustment method provided in this application;

[0074] Figure 5 A flowchart illustrating an embodiment of a power module adjustment method provided in this application;

[0075] Figure 6 A flowchart illustrating an embodiment of a power module adjustment method provided in this application;

[0076] Figure 7 This application provides a schematic diagram of the structure of an adjustment system for a power module.

[0077] Figure 8 This application provides an embodiment of an inverter air conditioning system adjustment diagram;

[0078] Figure 9 This application provides a schematic diagram of the adjustment of a fixed-frequency air conditioning system according to an embodiment of the present application.

[0079] Figure 10 A schematic diagram of the adjustment of a variable frequency air conditioning modular system provided in this application embodiment;

[0080] Figure 11 A schematic diagram of the adjustment of a fixed-frequency air conditioning modular system provided in this application embodiment;

[0081] Figure 12 A block diagram illustrating an embodiment of a power module adjustment device provided in this application;

[0082] Figure 13 This is a schematic diagram of the structure of an air conditioning device provided in an embodiment of this application. Detailed Implementation

[0083] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0084] The following disclosure provides numerous different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the scope of the invention. Furthermore, reference numerals and / or letters may be repeated in different examples. Such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed.

[0085] To address the technical challenge of ensuring stable compressor operation and efficient energy utilization in off-grid mode of multi-split air conditioning units using traditional photovoltaic (PV) + grid-powered systems, this application provides a power module adjustment method. This method predicts future PV power generation capacity, proactively mitigating parameter setting lag caused by PV power fluctuations and preventing mismatch between the power module and PV power when operating with fixed parameters. Simultaneously, by determining and adjusting parameter ranges, the power module's operating parameters are consistently adapted to PV power supply capacity. This ensures stable operation without exceeding PV power supply limits while maximizing PV energy utilization. This achieves precise matching between PV power supply and the power module's electricity demand, thereby improving the energy efficiency and operational stability of the air conditioning unit in off-grid mode.

[0086] The adjustment method of the power module provided in this application will be further explained below with reference to the accompanying drawings and specific embodiments. The embodiments do not constitute a limitation on the embodiments of this application.

[0087] See Figure 1 This is a flowchart illustrating an embodiment of a power module adjustment method provided in this application. Figure 1 As shown, the process may include the following steps:

[0088] Step 101: Predict the power generation capacity of the photovoltaic module within a preset future time period.

[0089] The aforementioned photovoltaic module refers to the power supply component within an air conditioning unit used to convert solar energy into electrical energy.

[0090] The aforementioned power generation capacity refers to the predicted range of electrical energy that the photovoltaic module can provide over a future period. Optionally, this power generation capacity can be expressed as the range of power output that the photovoltaic module can provide over a future period.

[0091] The aforementioned future time period can be a pre-set time period that will occur after the current time, such as 2 hours after the current time, or the next day after the current time.

[0092] In this step, the air conditioning unit may contain one or more air conditioning devices, and each air conditioning device may have a power module. This power module provides power to the air conditioning device to circulate the refrigerant within the unit, thereby ensuring the cooling function of the air conditioning device. Each power module may correspond to a photovoltaic module, which provides the power module with the electrical energy required for its operation. Optionally, the power module may be a compressor or other types of power modules; this embodiment does not impose any limitations on this.

[0093] In this case, when the power module is in an off-grid state, that is, when it is powered only by the photovoltaic module, the photovoltaic power generation of the photovoltaic module is affected by environmental factors such as weather, light intensity, and temperature, and has significant time variability and uncertainty. Therefore, in order to prevent the impact of large changes in the photovoltaic power generation of the photovoltaic module on the power module, the executing entity of this application embodiment can predict the power generation capacity of the photovoltaic module in a preset future time period.

[0094] In one embodiment, the executing entity of this application embodiment can pre-train a power generation capacity prediction model. Based on this, the executing entity of this application embodiment can obtain future weather information within the aforementioned future time period and input the future weather information into the aforementioned power generation capacity prediction model to obtain the power generation capacity of the photovoltaic module within the future time period output by the power generation capacity prediction model.

[0095] In another embodiment, it can be achieved through... Figure 2 The process shown predicts the power generation capacity of the photovoltaic module in the future, which will not be detailed here.

[0096] Step 102: Based on the above power generation capacity, determine the range of preset operating parameters for the power module during the above future time period.

[0097] Step 103: Adjust the parameter values ​​of the preset operating parameters according to the above parameter value range.

[0098] The following provides a unified explanation of steps 102 and 103:

[0099] The aforementioned preset operating parameters refer to the parameters involved in the operation of the power module, which may include, but are not limited to, operating power and operating displacement.

[0100] In this step, after the executing entity of this application predicts the power generation capacity of the photovoltaic module in a preset future time period, since the power supply source of the power module at this time only includes the photovoltaic module, the power generation capacity of the photovoltaic module is related to the operating parameters of the power module. Therefore, based on the above power generation capacity, the parameter value range of the preset operating parameters that the power module can achieve in the future time period can be determined.

[0101] Based on this, during the operation of the power module, the execution subject of this application embodiment can adjust the parameter value of the power module in the preset operating parameters according to the parameter value range, so that the parameter value of the power module can be within the above parameter value range.

[0102] The technical solution provided in this application predicts the power generation capacity of a photovoltaic module within a preset future time period. Based on this power generation capacity, it determines the range of preset operating parameters for the power module within the same future time period and adjusts these preset operating parameters according to this range. This technical solution, by predicting future photovoltaic power generation capacity, can proactively avoid parameter setting lag issues caused by photovoltaic power fluctuations, preventing mismatch between the power module and photovoltaic power when operating with fixed parameters. Simultaneously, by determining and adjusting the parameter range, the operating parameters of the power module can always adapt to the photovoltaic power supply capacity, ensuring that the power module operates stably without exceeding the photovoltaic power supply limit while maximizing the utilization of photovoltaic energy. This achieves precise matching between photovoltaic power supply and the power module's electricity demand, thereby improving the energy utilization rate and operational stability of the air conditioning unit in off-grid conditions.

[0103] See Figure 2 This is a flowchart illustrating an embodiment of another power module adjustment method provided in this application. Figure 2 The process shown is in Figure 1 Based on the illustrated process, the document describes how the power generation capacity of a photovoltaic module is predicted over a future time period. For example... Figure 2 As shown, the process may include the following steps:

[0104] Step 201: Obtain the first correlation between the weather information and power generation capacity of the pre-trained photovoltaic module.

[0105] The aforementioned first correlation may include weather information, the power generation capacity of the photovoltaic module under different weather conditions, and the correspondence between weather information and power generation capacity. The aforementioned weather information may include, but is not limited to, sunlight intensity, temperature, and wind speed.

[0106] In this step, a first correlation between weather information and power generation capacity corresponding to the photovoltaic module can be pre-built and stored. Based on this, when the execution subject of this application embodiment applies the first correlation, it can directly obtain the first correlation from the preset storage medium.

[0107] In one embodiment, after constructing the first association relationship, the executing entity of this application embodiment can update the first association relationship in real time or periodically.

[0108] In one embodiment, the aforementioned first correlation can be constructed as follows: First, multiple solar irradiance values ​​within a preset historical time period and the historical power generation capacity corresponding to each solar irradiance value can be obtained. Then, the power generation coefficient and fitting coefficient corresponding to the photovoltaic module can be obtained, and a first relationship curve between solar irradiance and power generation capacity can be constructed based on the solar irradiance and fitting coefficient. Finally, the first relationship curve can be fitted based on the solar irradiance and historical power generation capacity to obtain the first correlation. Here, the solar irradiance coefficient refers to a coefficient related to the power conversion capacity determined in advance based on the photovoltaic module's own parameters, and the fitting coefficient refers to the coefficient used to fit the first relationship curve.

[0109] As an optional implementation, the power generation capacity of a photovoltaic module can be represented by the photovoltaic power generation of the photovoltaic module. Based on this, the first relationship curve mentioned above can be represented by the following equation (I):

[0110] Formula (1)

[0111] The above For photovoltaic power generation, the above The above refers to the illuminance coefficient in the first relationship curve. The above refers to the adjustment coefficient corresponding to the power generation coefficient in the first relationship curve. For light intensity, the above For the power generation coefficient, the above represents the fitting coefficient in the first relationship curve.

[0112] Step 202: Obtain future weather information for the future time period.

[0113] Step 203: Based on the aforementioned future weather information and the first correlation, determine the power generation capacity of the photovoltaic module in the future time period.

[0114] The following provides a unified explanation of steps 202 and 203:

[0115] In this step, the executing entity of this application embodiment can obtain future weather information within a future time period, and determine the power generation capacity of the photovoltaic module within a future time period based on the aforementioned future weather information and the first correlation relationship.

[0116] In one embodiment, the executing entity of this application can obtain future weather information for a future time period input by the user through a visual interface.

[0117] In another embodiment, the executing entity of this application embodiment can obtain weather forecast information for a future time period through a third platform, and obtain the future weather information from the aforementioned weather forecast information.

[0118] In one embodiment, the aforementioned first correlation relationship can be a fitted first relationship curve between irradiance and power generation capacity. Based on this, the executing entity of this application embodiment can obtain multiple irradiance values ​​for future time periods from the aforementioned future weather information. Then, the multiple irradiance values ​​can be input into the aforementioned first relationship curve to obtain multiple power generation capacities. Finally, a power generation capacity range can be constructed based on the maximum and minimum power generation capacities among the multiple power generation capacities, and this power generation capacity range can be determined as the power generation capacity of the photovoltaic module in the future time period.

[0119] As an optional implementation, the first relationship curve can be the relationship curve shown in Equation (I) above. Based on this, multiple irradiance values ​​from future weather information can be obtained, and these irradiance values ​​can be input into the first relationship curve shown in Equation (I) above to obtain multiple photovoltaic power generation capacities. Then, the maximum and minimum photovoltaic power generation capacities can be determined from these multiple photovoltaic power generation capacities, and the power range formed by the minimum and maximum photovoltaic power generation capacities can be determined as the power generation capacity of the photovoltaic module in the future time period.

[0120] The technical solution provided in this application obtains future weather information for a future time period by acquiring a first correlation between weather information and power generation capacity corresponding to a pre-trained photovoltaic module. Based on the aforementioned future weather information and the first correlation, the power generation capacity of the photovoltaic module in the future time period is determined. This technical solution can establish an accurate mapping between weather and power generation capacity based on historical data through the pre-trained correlation, avoiding prediction bias. At the same time, combined with future weather information, the time-varying trend of photovoltaic power can be predicted in advance, thereby achieving accurate prediction of the power generation capacity of the photovoltaic module in the future time period. This provides a reliable preliminary basis for subsequently determining the operating parameter range of the power module (corresponding to the compressor), thereby avoiding insufficient power supply or energy waste of the power module due to sudden changes in photovoltaic power, ensuring accurate matching between photovoltaic power supply and the power demand of the power module, and ultimately improving the energy utilization rate and operational stability of the air conditioning unit in off-grid conditions.

[0121] See Figure 3 This is a flowchart illustrating an embodiment of another power module adjustment method provided in this application. Figure 3 The process shown is in Figure 1 Based on the illustrated process, this paper describes how, when the power generation capacity of the photovoltaic module in the future time period is a set of power generation capacities including multiple power outputs, the parameter value range of the preset operating parameters of the power module in the future time period is determined according to the power generation capacity. For example... Figure 3 As shown, the process may include the following steps:

[0122] Step 301: Determine the maximum power generation capacity from the above power generation capacity set.

[0123] The aforementioned power generation set refers to the predicted power generation capacity of the photovoltaic module within a future time period. This power generation set can be used to characterize the power generation capacity of the photovoltaic module within the future time period, and it can include multiple power generation capacities corresponding to different points in time. This power generation set can be obtained through... Figure 2 The set of photovoltaic power generation determined in the process shown.

[0124] In this step, the aforementioned power generation set may include multiple identical or different power generation capacities. Based on this, in order to determine the limit of the power generation capacity that the photovoltaic module can achieve in the future time period, and to avoid operational instability caused by insufficient power supply capacity during the operation of the power module, the execution subject of this application embodiment may determine the maximum power generation capacity from the aforementioned power generation set.

[0125] In one embodiment, the executing entity of this application embodiment can directly determine the maximum power generation with the largest power value from the power generation power set.

[0126] In another embodiment, to avoid errors, the executing entity of this application embodiment may first identify outliers in the power generation set and delete them from the power generation set to obtain a new power generation set. Then, the maximum power generation can be determined from the new power generation set.

[0127] As an optional implementation, when determining outliers in the power generation set, the initial maximum power generation and the initial minimum power generation can be determined from the power generation set. Then, a first difference between the initial maximum power generation and other power generation can be determined, and a second difference between the initial minimum power generation and other power generation can be determined.

[0128] Finally, it can be determined whether the first difference falls within a preset first difference range, and whether the second difference falls within a preset second difference range. The first difference range refers to a preset range that can characterize the normal variation of the maximum power generation of the photovoltaic module; the second difference range refers to a preset range that can characterize the normal variation of the minimum power generation of the photovoltaic module. The first difference range and the second difference range may be the same or different, and this application embodiment does not limit this.

[0129] Optionally, if it is determined that the first difference does not fall within the aforementioned first difference range, the initial maximum power generation can be determined as an abnormal value.

[0130] Optionally, if it is determined that the second difference does not fall within the range of the aforementioned second difference, the initial minimum power generation can be determined as an anomaly.

[0131] Step 302: Obtain the second correlation between the preset operating parameters and operating power of the pre-built power module.

[0132] The aforementioned second correlation refers to the correlation between the preset operating parameters and operating power of the pre-built power module, which may include the parameter values ​​of the preset operating parameters, the operating power, and the correspondence between the two.

[0133] In this step, in order to quantify the power generation capacity of the photovoltaic power generation module into the parameter values ​​of the preset operating parameters of the power module, the execution subject of this application embodiment can pre-build and store the second correlation between the preset operating parameters of the power module and the operating power.

[0134] Based on this, when the execution subject of this application embodiment needs to apply the second association relationship, it can directly obtain the second association relationship from the preset storage medium.

[0135] In one embodiment, the executing entity of this application embodiment can update the above-mentioned second association relationship in real time or periodically.

[0136] In one embodiment, the aforementioned second association relationship can be constructed in the following way: First, historical parameter values ​​of multiple preset operating parameters of the power module within a historical time period, and the historical operating power corresponding to each historical parameter value, can be obtained. The aforementioned preset historical time period can be a pre-set time period before the current time, such as 2 hours before the current time, or the time period to which the current time belongs can be determined, and the time period of the previous day can be determined as the preset historical time period.

[0137] Then, the module parameters and fitting coefficients corresponding to the power module can be obtained, and a second relationship curve between the operating power and the preset operating parameters can be constructed based on the module parameters and fitting coefficients. The module parameters mentioned above can refer to other parameters in the air conditioning unit that affect the change in the operating power of the power module, and the fitting coefficients mentioned above refer to the parameters pre-constructed for fitting the second relationship curve.

[0138] Finally, based on the historical parameter values ​​and historical operating power, the second relationship curve can be fitted to obtain the second correlation relationship.

[0139] As an optional implementation, the aforementioned preset operating parameters can be the operating frequency of the power module. Based on this, the aforementioned second relationship curve can be shown in the following equation (II):

[0140] Formula (II)

[0141] Among them, the above For the operating power of the power module, the above The operating frequency coefficient in the second relationship curve, as mentioned above The module parameter coefficients in the second relationship curve are as follows: For the operating frequency of the power module, the above The module parameters for the power module are as follows: represents the fitting coefficient of the second relationship curve.

[0142] Step 303: Based on the above maximum power generation and the second correlation, determine the maximum parameter value of the power module in the future time period.

[0143] Step 304: Based on the above maximum parameter values, determine the parameter value range of the power module.

[0144] The following provides a unified explanation of steps 303 and 304:

[0145] The aforementioned maximum parameter value refers to the maximum parameter value corresponding to the power module under the preset operating parameters. For example, when the preset operating parameter is the operating frequency of the power module, the aforementioned maximum parameter value can be the maximum operating frequency of the power module.

[0146] In this step, after determining the maximum power generation that the photovoltaic module can provide in the future time period, and the second correlation between the preset operating parameters and the operating frequency of the power module, the execution subject of this application embodiment can convert the maximum power generation into the maximum parameter value of the power module under the preset operating parameters according to the above-mentioned second correlation.

[0147] As an optional implementation, the maximum power generation can be input into the second correlation to obtain the maximum parameter value under the preset operating parameters corresponding to the maximum power generation.

[0148] Based on the aforementioned maximum parameter value, the execution entity of this application embodiment can determine the parameter value range of the power module according to the aforementioned maximum parameter value.

[0149] As an optional implementation, the minimum parameter value of the power module under the preset operating parameters can be obtained. Then, the parameter value range of the power module can be constructed from the minimum and maximum parameter values.

[0150] As an alternative implementation, the parameter value range of the power module can be directly set to be less than or equal to the maximum parameter value mentioned above.

[0151] The technical solution provided in this application embodiment determines the maximum power generation from the above-mentioned power generation set, obtains the second correlation between the preset operating parameters and operating power of the pre-built power module, determines the maximum parameter value of the power module in a future time period based on the above-mentioned maximum power generation and the second correlation, and determines the parameter value range of the power module based on the above-mentioned maximum parameter value. This technical solution, by determining the maximum power generation from the power generation set, can accurately lock the upper limit of the photovoltaic module's power supply capacity, avoiding shutdowns or unstable operation of the power module due to parameter settings exceeding the power supply limit. The pre-constructed second correlation between "power module preset operating parameters - operating power" essentially establishes a precise mapping between power supply capacity and module operating parameters, transforming the abstract maximum power generation into specific parameter standards that the module can execute. Finally, based on the maximum parameter value, the parameter value range is determined, which not only defines a safe and suitable operating boundary for the power module, preventing energy waste caused by parameter mismatch (such as the module's inability to fully utilize electrical energy when photovoltaic power is excessive), but also ensures that the module can flexibly respond to photovoltaic power supply fluctuations within this range, achieving precise matching between photovoltaic power supply and the power module's electricity demand, further improving the energy utilization rate and operational stability of the air conditioning unit in off-grid conditions.

[0152] See Figure 4 This is a flowchart illustrating another embodiment of the adjustment method for a power module provided in this application. Figure 4 The process shown is in Figure 3 Based on the illustrated process, this paper describes how, in the case of an air conditioning unit comprising multiple power modules, each power module having its own corresponding photovoltaic module, a second correlation relationship, and a predicted maximum power generation of the photovoltaic module in the future time period, the maximum parameter value of the power module in the future time period is determined specifically based on the maximum power generation and the second correlation relationship. For example... Figure 4 As shown, the process may include the following steps:

[0153] Step 401: Determine the running power modules and non-running power modules in the power module; wherein, the non-running power modules are modules whose preset operating parameters are not adjusted.

[0154] The aforementioned operating power module refers to the power module that operates in the current and future time periods. Because the operating power module is in operation, the preset operating parameters of the operating power module can be adjusted during its operation.

[0155] The aforementioned non-operating power modules refer to power modules that are not operating in the current and future time periods. Since non-operating power modules are not operating, there is no need to adjust the preset operating parameter values ​​of these non-operating power modules.

[0156] In practical applications, the operating status of the power module does not affect the power conversion of the photovoltaic module. This means that even if the power module is not running, its corresponding photovoltaic module can still provide power. Therefore, in order to utilize the power generated by the photovoltaic module, this part of the power can be used to supply power to other operating power modules.

[0157] Therefore, in this step, when there are multiple power modules, when determining the maximum parameter value of each power module in a future time period, the electrical energy generated by the photovoltaic modules corresponding to other non-operating power modules can be taken into account. Thus, the implementing entity of this application embodiment can distinguish between multiple power modules to determine the operating and non-operating power modules.

[0158] As an optional implementation, the current operating status of each power module can be obtained, and the power modules with the operating status of running can be identified as running power modules, while the power modules with the operating status of not running can be identified as non-running power modules.

[0159] As an alternative implementation, the user's temperature control plan can be obtained and analyzed to determine the operating power modules that will run in the future time period, as well as the non-operating power modules that will not run in the future time period.

[0160] Step 402: Allocate the maximum power generation of the non-operating power modules to the operating power modules according to the target ratio to update the maximum power generation of the operating power modules and obtain the new maximum power generation of the operating power modules.

[0161] The maximum power generation of the aforementioned non-operating power modules refers to the power generated by... Figure 2 The process shown indicates the maximum photovoltaic power output that the non-operating power module can generate in the future time period.

[0162] The aforementioned new maximum power generation refers to the maximum power generation that the photovoltaic module corresponding to the operating power module can achieve in the future time period after the power generation of the photovoltaic module corresponding to the operating power module is allocated to other photovoltaic modules corresponding to non-operating power modules.

[0163] In this step, when it is determined that there is a non-operating power module among multiple power modules, in order to utilize the electrical energy generated by the photovoltaic module corresponding to the non-operating power module in the future time period, the executing entity of this application embodiment can allocate the maximum power generation corresponding to the non-operating power module to multiple operating power modules according to the target ratio, so as to update the maximum power generation of each operating power module and obtain the new maximum power generation corresponding to the operating power module.

[0164] In one embodiment, the user can pre-set a ratio value for each power module. Based on this, the execution subject of this application embodiment can determine the ratio value as the target ratio.

[0165] In another embodiment, the executing entity of this application can obtain the load requirement of the temperature regulation module corresponding to each operating power module. The aforementioned temperature regulation module can be an indoor unit used for temperature regulation.

[0166] As an optional implementation, the temperature difference to be adjusted for each power module corresponding to the temperature regulation module can be obtained, and this temperature difference can be determined as the load requirement of the temperature regulation module.

[0167] Then, the target ratio between the operating power modules can be determined based on the load demand corresponding to each operating power module.

[0168] As an optional implementation method, the load ratio corresponding to the load demand of each operating power module can be determined, and this load ratio can be set as the target ratio among the operating power modules.

[0169] Step 403: For each operating power module, determine the maximum parameter value corresponding to the operating power module based on the new maximum power generation and the second correlation relationship.

[0170] In this step, each power module may have a corresponding second association relationship. Based on this, after allocating the maximum power generation of the photovoltaic modules corresponding to the non-operating power modules to the operating power modules according to the target ratio, and obtaining the new maximum power generation of each operating power module, the execution subject of this application embodiment can determine the maximum parameter value corresponding to each operating power module based on the new maximum power generation of the operating power module and the second association relationship.

[0171] As an optional implementation, the second correlation relationship can be a second correlation curve formula. Based on this, the new maximum power generation can be input into the second correlation curve formula for calculation to obtain the maximum parameter value corresponding to the operating power module.

[0172] The technical solution provided in this application involves determining the operating power modules and non-operating power modules in the power module system. The non-operating power modules are those whose preset operating parameters are not adjusted. The maximum power generation of the non-operating power modules is allocated to the operating power modules according to a target ratio to update the maximum power generation of the operating power modules, thus obtaining a new maximum power generation corresponding to the operating power modules. For each operating power module, the maximum parameter value corresponding to the operating power module is determined based on the new maximum power generation corresponding to the operating power module and a second correlation relationship. This technical solution, by clearly distinguishing between operating and non-operating power modules, avoids the waste of the maximum photovoltaic power generation corresponding to non-operating modules due to their inactivity. This power is then allocated to operating modules according to a target ratio to update their maximum power generation, thus fully utilizing idle photovoltaic resources and improving the overall utilization rate of photovoltaic power. Simultaneously, based on the updated maximum power generation and the second correlation between "power module preset operating parameters - operating power," the maximum parameter value of the operating module is determined. This allows the operating upper limit of the operating module to accurately match the improved power supply capacity, preventing the operating module from failing to meet air conditioning load demands due to power supply limitations while ensuring stable operation within the photovoltaic power supply capacity. Ultimately, this achieves efficient matching between photovoltaic power supply and the power demand of power modules in the off-grid modular air conditioning system, further enhancing system operational stability and energy efficiency.

[0173] See Figure 5 The following is a flowchart of an embodiment of a power module adjustment method provided in this application. Figure 5 The process shown is in Figure 1 Based on the illustrated process, the document describes how the preset operating parameters are adjusted according to their ranges. For example... Figure 5 As shown, the process may include the following steps:

[0174] Step 501: Obtain the current power generation capacity of the photovoltaic module at the current moment.

[0175] Step 502: Based on the current power generation capacity, determine the current parameter values ​​of the preset operating parameters of the power module.

[0176] The following provides a unified explanation of steps 501 and 502:

[0177] The aforementioned current power generation capacity refers to the actual power generation capacity achieved by the photovoltaic module at the current moment. This current power generation capacity can be the current power generation of the photovoltaic module or the current power output of the photovoltaic module. This application embodiment does not limit this.

[0178] In this step, after determining the parameter value range of the power module based on the predicted power generation capacity of the photovoltaic module in the future time period, the execution subject of this application embodiment obtains the actual current power generation capacity of the photovoltaic module at the current moment while the power module is running.

[0179] Then, based on the current power generation capacity, the current parameter values ​​of the preset operating parameters of the power module can be determined.

[0180] As an optional implementation, the aforementioned current power generation capacity can be the current power generation output. Based on this, the current power generation output corresponding to the current power generation output can be determined, and the current parameter values ​​of the preset operating parameters of the power module can be determined according to the current power generation output.

[0181] As an exemplary implementation, the aforementioned preset operating parameters can be the current operating frequency of the power module. The execution entity of this application embodiment can use the current power generation of the photovoltaic module as the current operating power of the power module. Then, the current operating frequency corresponding to this current operating power can be determined.

[0182] As one implementation method, through Figure 3 As shown in the flowchart, the power module can correspond to a second correlation between pre-built operating power and preset operating parameters. Based on this, the execution entity of this application embodiment can determine the current operating frequency of the power module from the aforementioned second correlation based on the current operating power.

[0183] Step 503: Determine whether the current parameter value is within the range of the parameter values; if not, proceed to step 504; if yes, end the process.

[0184] Step 504: Adjust the current parameter value to make it fall within the range of the parameter values ​​mentioned above.

[0185] The following provides a unified explanation of steps 503 and 504:

[0186] In this step, after determining the current parameter value of the preset operating parameters of the power module, in order to prevent the current parameter value of the power module from being too high and exceeding the power generation capacity of the photovoltaic module and becoming unstable, or the current parameter value from being too low and resulting in low utilization of the power provided by the photovoltaic module, the execution subject of this application embodiment can determine whether the current parameter value of the power module is within the range of the above parameter values.

[0187] Optionally, if the current parameter value is determined to be within the range of the above parameter values, it indicates that the operation of the power module is relatively stable and the utilization rate of the electrical energy provided by the photovoltaic module is high. Therefore, the operating frequency of the power module does not need to be adjusted.

[0188] Optionally, if it is determined that the current parameter value is not within the range of the above parameter values, it indicates that the operation of the power module is unstable or the utilization rate of the electrical energy provided by the photovoltaic module is low. Therefore, the operating frequency of the power module can be adjusted so that the current parameter value is within the range of the above-determined parameter values.

[0189] In one embodiment, the aforementioned parameter value range may include a maximum parameter value and a minimum parameter value, such as a maximum operating frequency and a minimum operating frequency. Based on this, when adjusting the current parameter value, it can be determined whether the current parameter value is greater than or equal to the maximum parameter value.

[0190] Optionally, if the current parameter value is determined to be greater than or equal to the aforementioned maximum parameter value, the parameter adjustment type of the power module can be obtained. The aforementioned parameter adjustment type refers to the adjustment type when adjusting the preset operating parameters of the power module. When the aforementioned preset operating parameter is the operating frequency, the parameter adjustment type can be fixed frequency adjustment or variable frequency adjustment, and this application embodiment does not limit this.

[0191] One method is to obtain the module parameters of the power module and parse the module parameters to determine the parameter adjustment type of the power module.

[0192] Then, the current parameter values ​​of the power module can be adjusted according to the above parameter adjustment type.

[0193] As one implementation method, the aforementioned preset operating parameters can be the operating frequency of the power module. Based on this, when adjusting the current parameter value of the power module according to the parameter adjustment type of the power module, it can be determined whether the parameter adjustment type of the power module is fixed frequency adjustment or variable frequency adjustment.

[0194] As an adjustment method, when the parameter adjustment type of the power module is determined to be fixed-frequency adjustment, the power module can have multiple frequency levels, and different frequency levels can correspond to different operating frequencies. Based on this, the execution subject of this application embodiment can determine the frequency level corresponding to the current parameter value. Then, the frequency level can be adjusted down by at least one level until the operating frequency of the power module is controlled within the above parameter value range. At this time, in order to prevent the operating frequency of the power module from being too low, the level corresponding to the minimum parameter value in the parameter value range can be adjusted up by at least one level.

[0195] As another adjustment method, when the parameter adjustment type of the power module is determined to be frequency conversion adjustment, the power module can operate at any frequency value. Based on this, the execution subject of this application embodiment can determine a preset first frequency adjustment ratio and a preset second frequency adjustment ratio. Then, the current parameter value can be lowered according to the first frequency adjustment ratio until the operating frequency of the power module is controlled within the above parameter value range. At this time, in order to prevent the operating frequency of the power module from being too low, the minimum parameter value in the parameter value range can be increased according to the second frequency adjustment ratio. The first frequency adjustment ratio is a preset adjustment step size for adjusting the current parameter value, for example, 1%; the second frequency adjustment ratio is a preset adjustment step size for adjusting the parameter value range, for example, 2%.

[0196] Optionally, if the current parameter value is determined to be less than the maximum parameter value, it can be determined whether the current parameter value is less than the aforementioned minimum parameter value. Then, if the current parameter value is determined to be less than the minimum parameter value, the parameter adjustment type of the power module can be obtained.

[0197] Then, the current parameter values ​​of the power module can be adjusted according to the above parameter adjustment type.

[0198] As one implementation method, the aforementioned preset operating parameters can be the operating frequency of the power module. Based on this, when adjusting the current parameter value of the power module according to the parameter adjustment type of the power module, it can be determined whether the parameter adjustment type of the power module is fixed frequency adjustment or variable frequency adjustment.

[0199] As an adjustment method, when the parameter adjustment type of the power module is determined to be fixed-frequency adjustment, the power module can have multiple frequency levels, and different frequency levels can correspond to different operating frequencies. Based on this, the execution subject of this application embodiment can determine the frequency level corresponding to the current parameter value. Then, the frequency level can be adjusted upward by at least one level until the operating frequency of the power module is controlled within the above parameter value range. At this time, in order to prevent the operating frequency of the power module from being too high, the level corresponding to the maximum parameter value in the parameter value range can be adjusted downward by at least one level.

[0200] As another adjustment method, when the parameter adjustment type of the power module is determined to be frequency conversion adjustment, the power module can operate at any frequency value. Based on this, the execution subject of this application embodiment can determine a preset first frequency adjustment ratio and a preset second frequency adjustment ratio. Then, the current parameter value can be increased according to the first frequency adjustment ratio until the operating frequency of the power module is controlled within the above parameter value range. At this time, in order to prevent the operating frequency of the power module from being too high, the maximum parameter value in the parameter value range can be decreased according to the second frequency adjustment ratio. The first frequency adjustment ratio is a preset adjustment step size for adjusting the current parameter value, for example, 1%; the second frequency adjustment ratio is a preset adjustment step size for adjusting the parameter value range, for example, 2%.

[0201] Furthermore, in one embodiment, in order to further improve the matching between the preset operating parameters of the power module and the power generation capacity of the photovoltaic module, when the current power generation capacity is the current power generation of the photovoltaic module, the execution subject of this application embodiment can also monitor the power generation of the photovoltaic module and the power generation of the power module in real time after adjusting the current parameter value, and further adjust the parameter value range to increase the matching degree between the two.

[0202] As an optional implementation, the operating power of the power module corresponding to the adjusted current parameter value can be determined, as well as the power difference between the operating power and the current power generation of the photovoltaic module.

[0203] Then, it can be determined whether the power difference is greater than a preset difference threshold, and if it is determined that the power difference is greater than the preset difference threshold, the range of the above parameter values ​​can be adjusted.

[0204] As an adjustment method, when the current power generation is greater than the operating power of the power module, the above parameter values ​​can be adjusted upwards.

[0205] As another adjustment method, if the current power generation is less than the operating power of the power module, the above parameter values ​​can be adjusted downwards.

[0206] The technical solution provided in this application obtains the current power generation capacity of the photovoltaic module at the current moment, determines the current parameter value of the preset operating parameters of the power module based on the current power generation capacity, and adjusts the current parameter value to bring it within the specified range if it is determined that the current parameter value is not within the specified range. This technical solution, by obtaining the current power generation capacity of the photovoltaic module, can capture real-time changes in photovoltaic power, avoiding parameter setting lags caused by relying on historical data or future predictions; determining the current value of the preset operating parameters of the power module based on the current power generation capacity allows the module's operating parameters to initially match the real-time power supply capacity; and timely adjustment when the current parameter value is detected to exceed the preset range ensures that the power module always operates within a parameter range adapted to the current photovoltaic power supply capacity, further enhancing the maximum utilization of photovoltaic power in off-grid scenarios while ensuring the stability of the power module's operation.

[0207] See Figure 6 The following is a flowchart of an embodiment of a power module adjustment method provided in this application. Figure 6 The process shown is in Figure 5 Based on the illustrated process, this paper describes how, when there are multiple power modules, and each power module has its own corresponding photovoltaic module, the current parameter values ​​of the preset operating parameters of the power module are determined according to the current power generation capacity of each photovoltaic module. For example... Figure 6 As shown, the process may include the following steps:

[0208] Step 601: Determine the running power modules and non-running power modules in the power module; wherein, the non-running power modules are modules whose preset operating parameters are not adjusted.

[0209] The aforementioned operating power module refers to the power module currently in operation. As the operating power module is running, the preset operating parameters of the operating power module can be adjusted during its operation.

[0210] The aforementioned non-operating power modules refer to power modules that are not currently in operation. Since non-operating power modules are not running, there is no need to adjust the preset operating parameter values ​​of these non-operating power modules.

[0211] In practical applications, the operating status of the power module does not affect the power conversion of the photovoltaic module. This means that even if the power module is not running, its corresponding photovoltaic module can still provide power. Therefore, in order to utilize the power generated by the photovoltaic module, this part of the power can be used to supply power to other operating power modules.

[0212] Therefore, in this step, when there are multiple power modules, the electrical energy generated by the photovoltaic modules corresponding to other non-operating power modules can be taken into account when determining the current parameter value of each power module. Thus, the executing entity of this application embodiment can distinguish between multiple power modules to determine the operating and non-operating power modules.

[0213] As an optional implementation, the current operating status of each power module can be obtained, and the power modules with the operating status of running can be identified as running power modules, while the power modules with the operating status of not running can be identified as non-running power modules.

[0214] Step 602: Allocate the current power generation capacity corresponding to the non-operating power modules to the operating power modules according to the target ratio, so as to update the current power generation capacity of the operating power modules and obtain the new current power generation capacity corresponding to the operating power modules.

[0215] The current power generation capacity of the aforementioned non-operating power modules refers to the power generation capacity achieved through... Figure 5 The process shown obtains the photovoltaic power output or current power generation capacity of the photovoltaic module corresponding to the non-operating power module at the current moment.

[0216] The aforementioned new current power generation capacity refers to the new current power generation capacity that the photovoltaic module corresponding to the operating power module can achieve at the current moment after the current power generation capacity of the photovoltaic module corresponding to the operating power module is allocated to other photovoltaic modules corresponding to non-operating power modules.

[0217] In this step, when it is determined that there is a non-operating power module among the multiple power modules, in order to utilize the electrical energy generated by the photovoltaic module corresponding to the non-operating power module at the current moment, the execution subject of this application embodiment can allocate the current power generation capacity corresponding to the non-operating power module to multiple operating power modules according to the target ratio, so as to update the current power generation capacity of each operating power module and thus obtain the new current power generation capacity corresponding to the operating power module.

[0218] In one embodiment, the user can pre-set a ratio value for each power module. Based on this, the execution subject of this application embodiment can determine the ratio value as the target ratio.

[0219] In another embodiment, the executing entity of this application can obtain the load requirement of the temperature regulation module corresponding to each operating power module. The aforementioned temperature regulation module can be an indoor unit used for temperature regulation.

[0220] As an optional implementation, the temperature difference to be adjusted for each power module corresponding to the temperature regulation module can be obtained, and this temperature difference can be determined as the load requirement of the temperature regulation module.

[0221] Then, the target ratio between the operating power modules can be determined based on the load demand corresponding to each operating power module.

[0222] As an optional implementation method, the load ratio corresponding to the load demand of each operating power module can be determined, and this load ratio can be set as the target ratio among the operating power modules.

[0223] Step 603: For each operating power module, determine the current parameter value of the preset operating parameters of the operating power module based on the new current power generation capacity corresponding to the operating power module.

[0224] In this step, after allocating the current power generation capacity of the photovoltaic modules corresponding to the non-operating power modules to the operating power modules according to the target ratio, and obtaining the new current power generation capacity corresponding to each operating power module, the execution subject of this application embodiment can determine the maximum parameter value corresponding to each operating power module based on the new current power generation capacity corresponding to the operating power module.

[0225] As an optional implementation, the new power generation capacity can be the new power generation of the photovoltaic module. Each power module can have a corresponding second correlation relationship, which can be a second correlation curve formula. Based on this, the new power generation can be input into the second correlation curve formula for calculation to obtain the current parameter value corresponding to the operating power module.

[0226] The technical solution provided in this application involves identifying operating power modules and non-operating power modules within a power module system. The non-operating power modules are those whose preset operating parameters are not adjusted. The current power generation capacity of the non-operating power modules is allocated to the operating power modules according to a target ratio to update the current power generation capacity of the operating power modules, resulting in a new current power generation capacity for each operating power module. For each operating power module, the current parameter value of its preset operating parameters is determined based on the new current power generation capacity. This technical solution, by clearly distinguishing between operating and non-operating power modules, can accurately identify the unused current power generation capacity of non-operating modules, avoiding the waste of this part of the electrical energy in traditional modular systems. By allocating the current power generation capacity of non-operating modules to operating modules according to the target ratio and updating their current power generation capacity, it can provide more sufficient adaptive power to operating modules, avoiding the inability of their preset operating parameters to meet air conditioning load requirements or unstable operation due to insufficient power supply. Finally, based on the updated current power generation capacity, the current values ​​of the preset operating parameters of the operating modules are determined, which can ensure that the parameters of the operating modules are accurately matched with the actual available photovoltaic power. This maximizes the activation of all photovoltaic resources in the system, improves the overall energy utilization rate, and ensures the stable operation of the operating modules.

[0227] To facilitate understanding of the power module adjustment method provided in this application, a power module adjustment system is provided below, which can be used to adjust the compressor in an air conditioning unit.

[0228] See Figure 7 This is a schematic diagram of the structure of an adjustment system for a power module provided in an embodiment of this application. Figure 7 As shown, the system may include: a photovoltaic power generation data acquisition module, a compressor operating power tracking module, a compressor operating parameter setting module, a control execution module, and a dynamic monitoring and adjustment module.

[0229] The system can collect photovoltaic power generation data and compressor operating power tracking data through the photovoltaic power generation data acquisition module and the compressor operating power tracking module, and output the trend of power generation capacity change over a future period of time by fitting curves. For details, please refer to the first and second correlation curves mentioned above.

[0230] Then, the compressor operating parameter setting module and control execution module can dynamically calculate parameters such as the maximum operating power and maximum exhaust volume of the compressor based on the collected and predicted power generation data, and use this value as the upper limit of the compressor's operation.

[0231] Meanwhile, during operation, the difference between the actual operating power of the compressor and the output power of the photovoltaic system can be continuously monitored through the dynamic monitoring and adjustment module. If necessary, the maximum parameters of the compressor can be fine-tuned to achieve more accurate energy matching.

[0232] The following examples illustrate different types of air conditioning systems:

[0233] For standalone systems of inverter air conditioners and fixed-frequency air conditioners, examples are provided below:

[0234] 1. Variable frequency air conditioning unit system:

[0235] For variable frequency air conditioning systems, see Figure 8 This is a schematic diagram illustrating the adjustment of a variable frequency air conditioning system according to an embodiment of this application. Figure 8 As shown, the adjustment method may include: after obtaining existing dynamic fitting curves (e.g., the first correlation curve and the second correlation curve), dynamically adjusting the compressor output in real time according to the power generation; at a certain moment, recording the power generation obtained by the unit as P1; fitting the first correlation curve based on the current power generation; and predicting the maximum power generation P of the photovoltaic module corresponding to the unit in the future time period. i This allows for the calculation and setting of the compressor's maximum operating frequency F1, while simultaneously setting the compressor's minimum operating frequency F2.

[0236] Based on this, during compressor operation, it is monitored whether the power corresponding to the compressor operating frequency F exceeds the set value Pc. Among them, the above It can be set as a coefficient, with a value range of 15% to 95%. When the maximum operating frequency of the compressor is at the critical value of the calculated compressor frequency (this critical value can be the value after rounding Pc), it is corrected downward by n1%, and the minimum operating frequency is corrected upward by n2.

[0237] 2. Fixed-frequency air conditioning unit system:

[0238] For fixed-frequency and variable-frequency air conditioning systems, see Figure 9 This is a schematic diagram illustrating the adjustment of a fixed-frequency air conditioning system according to an embodiment of this application. Figure 9 As shown, the adjustment method may include: after obtaining existing dynamic fitting curves (e.g., the first correlation curve and the second correlation curve), dynamically adjusting the compressor output in real time according to the power generation; at a certain moment, recording the power generation obtained by the unit as P1; fitting the first correlation curve based on the current power generation; and predicting the maximum power generation P of the photovoltaic module corresponding to the unit in the future time period. i This allows for the calculation and setting of the compressor's maximum operating frequency F1, while simultaneously setting the compressor's minimum operating frequency F2.

[0239] Based on this, during compressor operation, it is monitored whether the power corresponding to the compressor operating frequency F exceeds the set value Pc. Among them, the above It can be set as a coefficient, with a value range of 15% to 95%. When the maximum operating frequency of the compressor is at the critical value of the calculated compressor frequency (this critical value can be the value after rounding Pc), it is corrected down by one level, and the minimum operating frequency is corrected up by one level.

[0240] For modular systems of inverter air conditioners and fixed-frequency air conditioners, examples are provided below:

[0241] 1. Modular variable frequency air conditioning system:

[0242] For variable frequency air conditioning systems, see Figure 10 This is a schematic diagram illustrating the adjustment of a modular variable frequency air conditioning system provided in an embodiment of this application. Figure 10 As shown, the adjustment method may include: after obtaining existing dynamic fitting curves (e.g., the first correlation curve and the second correlation curve), dynamically adjusting the compressor output in real time based on the power generation. At a certain moment, for a modular variable frequency air conditioning unit, for the outdoor unit that is turned on, the unit number in the system is recorded as A1, A2, A3, A4..., and the power generation obtained by each unit is recorded as P1, P2, P3, P4... For the outdoor unit that is not turned on, the power generation obtained at this moment is recorded as Pw. This part of the power generation can be calculated according to the indoor unit demand and added to the outdoor unit that is turned on according to the allocation ratio. At this time, the power generation obtained by each unit is P1+Pw×δ1 (allocation coefficient), P2+Pw×δ2, P2+Pw×δ2, P2+Pw×δ2... For each operating unit, the first correlation curve can be fitted according to the current power generation, and the maximum power generation P of the photovoltaic module corresponding to the unit in the future time period can be predicted. mi This allows for the calculation and setting of the compressor's maximum operating frequency Fm1, while simultaneously setting the compressor's minimum operating frequency Fm2.

[0243] Based on this, during compressor operation, monitor whether the power corresponding to the compressor operating frequency Fm exceeds the set value Pc + Pw × δ (this set value). Among them, the above The value can be set as a coefficient, ranging from 15% to 95%. When the maximum operating frequency of the compressor is at the critical value of the calculated compressor frequency (which can be the integer value of Pc + Pw × δ), the value is adjusted downward by n1%, and the minimum operating frequency is adjusted upward by n2.

[0244] 2. Fixed-frequency air conditioning modular system:

[0245] For fixed-frequency air conditioning systems, see Figure 11This is a schematic diagram illustrating the adjustment of a modular fixed-frequency air conditioning system provided in an embodiment of this application. Figure 11 As shown, the adjustment method may include: after obtaining existing dynamic fitting curves (e.g., the first correlation curve and the second correlation curve), dynamically adjusting the compressor output in real time based on the power generation. At a certain moment, for a modular variable frequency air conditioning unit, for the outdoor unit that is turned on, the unit number in the system is recorded as A1, A2, A3, A4..., and the power generation obtained by each unit is recorded as P1, P2, P3, P4... For the outdoor unit that is not turned on, the power generation obtained at this moment is recorded as Pw. This part of the power generation can be calculated according to the indoor unit demand and added to the outdoor unit that is turned on according to the allocation ratio. At this time, the power generation obtained by each unit is P1+Pw×δ1 (allocation coefficient), P2+Pw×δ2, P2+Pw×δ2, P2+Pw×δ2... For each operating unit, the first correlation curve can be fitted according to the current power generation, and the maximum power generation P of the photovoltaic module corresponding to the unit in the future time period can be predicted. mi This allows for the calculation and setting of the compressor's maximum operating frequency Fm1, while simultaneously setting the compressor's minimum operating frequency Fm2.

[0246] Based on this, during compressor operation, monitor whether the power corresponding to the compressor operating frequency Fm exceeds the set value Pc + Pw × δ (this set value). Among them, the above The set coefficient can be 15% to 95%. When the maximum operating frequency of the compressor is at the critical value of the calculated compressor frequency (which can be the integer value of Pc + Pw × δ), the compressor is corrected down by one level, and the minimum operating frequency is corrected up by one level.

[0247] The technical solution provided in this application establishes a photovoltaic power generation data acquisition module and a maximum power point tracking module. By collecting photovoltaic power generation data and compressor operating maximum power data, a fitted curve is output to show the trend of power generation capacity changes over a future period. Simultaneously, a compressor operating parameter setting module and a control execution module can be set to dynamically calculate parameters such as the compressor's current operating maximum power and maximum discharge volume based on the collected and predicted power generation data, and use these values ​​as the upper limit of compressor operation. Furthermore, a dynamic monitoring and adjustment module is set to continuously monitor the difference between the actual operating power of the compressor and the photovoltaic output power during operation, and fine-tune the compressor's maximum parameters when necessary to achieve more accurate energy matching. This effectively avoids the waste of photovoltaic power and achieves the technical effects of energy saving, consumption reduction, improved energy utilization, and improved operational economy.

[0248] See Figure 12This is a block diagram illustrating an embodiment of a power module adjustment device provided in this application. As one embodiment, the power module can operate by being powered by a preset photovoltaic module. Figure 12 As shown, the device may include:

[0249] The power generation capacity prediction module 121 is used to predict the power generation capacity of the photovoltaic module within a preset future time period;

[0250] The parameter value range determination module 122 is used to determine the parameter value range of the preset operating parameters of the power module in the future time period based on the power generation capacity.

[0251] The parameter value adjustment module 123 is used to adjust the parameter value of the preset operating parameter according to the parameter value range.

[0252] like Figure 13 The diagram shown is a structural schematic of an air conditioning device according to an embodiment of this application, including a processor 131, a communication interface 132, a memory 133, a communication bus 134, a power module 135, and a photovoltaic module 136. The processor 131, communication interface 132, and memory 133 communicate with each other via the communication bus 134.

[0253] Memory 133 is used to store computer programs;

[0254] The aforementioned photovoltaic module 136 can be used to supply power to the power module 135;

[0255] The aforementioned power module 135 can be used to provide power to air conditioning equipment.

[0256] In one embodiment of this application, the processor 131, when executing a program stored in the memory 133, implements the adjustment method of the power module provided in any of the foregoing method embodiments, wherein the power module operates by being powered by a preset photovoltaic module, including:

[0257] Predict the power generation capacity of the photovoltaic module within a preset future time period;

[0258] Based on the power generation capacity, determine the range of preset operating parameters for the power module within the future time period;

[0259] The parameter values ​​of the preset operating parameters are adjusted according to the parameter value range.

[0260] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the power module adjustment method provided in any of the foregoing method embodiments.

[0261] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0262] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software plus a general-purpose hardware platform, or of course, using hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0263] It should be understood that the terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “described” as used herein may also include the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in a particular order described or illustrated unless the order of performance is explicitly indicated. It should also be understood that additional or alternative steps may be used.

[0264] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for adjusting a power module, characterized in that, The power module operates by being powered by a preset photovoltaic module, and the method includes: Predict the power generation capacity of the photovoltaic module within a preset future time period; Based on the power generation capacity, determine the range of preset operating parameters for the power module within the future time period; The parameter values ​​of the preset operating parameters are adjusted according to the parameter value range; Wherein, the power generation capacity is a set of power generation capacities including multiple power generation capacities, and the preset operating parameters are operating frequencies; determining the parameter value range of the preset operating parameters of the power module within the future time period based on the power generation capacity includes: From the set of power generation, determine the maximum power generation; obtain the second correlation between the preset operating parameters and operating power of the power module; based on the maximum power generation and the second correlation, determine the maximum parameter value of the power module in the future time period; based on the maximum parameter value, determine the parameter value range of the power module; the maximum parameter value is the maximum parameter value of the preset operating parameters corresponding to the maximum power generation, and is the maximum value of the parameter value range.

2. The method according to claim 1, characterized in that, The prediction of the photovoltaic module's power generation capacity within a preset future time period includes: Obtain the first correlation between the weather information and power generation capacity corresponding to the pre-trained photovoltaic module; Obtain future weather information for the specified future time period; Based on the future weather information and the first correlation, the power generation capacity of the photovoltaic module in the future time period is determined.

3. The method according to claim 2, characterized in that, The first association is constructed in the following way: Obtain multiple solar irradiance values ​​within a preset historical time period, and the historical power generation capacity corresponding to each solar irradiance value; Obtain the power generation coefficient and fitting coefficient corresponding to the photovoltaic module; Based on the power generation coefficient and the fitting coefficient, a first relationship curve between solar irradiance and power generation capacity is constructed. The first correlation relationship is obtained by fitting the first relationship curve based on the irradiance and the historical power generation capacity.

4. The method according to claim 1, characterized in that, The second association is constructed in the following way: Obtain historical parameter values ​​of multiple preset operating parameters of the power module within a preset historical time period, and the historical operating power corresponding to each historical parameter value; Obtain the module parameters and fitting coefficients corresponding to the power module; Based on the module parameters and the fitting coefficients, a second relationship curve between the operating power and the preset operating parameters is constructed. The second relationship curve is fitted based on the historical parameter values ​​and the historical operating power to obtain the second correlation relationship.

5. The method according to claim 1, characterized in that, The power module is multiple, and each power module has its own corresponding photovoltaic module, the second association relationship, and the maximum power generation; Determining the maximum parameter value of the power module within the future time period based on the maximum power generation and the second correlation includes: Identify the operating power modules and non-operating power modules in the power module; wherein, the non-operating power modules are modules whose preset operating parameters are not adjusted; The maximum power generation of the non-operating power module is allocated to the operating power module according to the target ratio to update the maximum power generation of the operating power module and obtain the new maximum power generation of the operating power module. For each of the aforementioned operating power modules, the maximum parameter value corresponding to the operating power module is determined based on the new maximum power generation and the second correlation relationship.

6. The method according to claim 1, characterized in that, The step of adjusting the parameter values ​​of the preset operating parameters according to the parameter value range includes: Obtain the current power generation capacity of the photovoltaic module at the current moment; Based on the current power generation capacity, determine the current parameter values ​​of the preset operating parameters of the power module; If it is determined that the current parameter value is not within the range of the parameter value, the current parameter value is adjusted so that the current parameter value is within the range of the parameter value.

7. The method according to claim 6, characterized in that, The parameter value range includes the maximum parameter value and the minimum parameter value; The adjustment of the current parameter value includes: If the current parameter value is determined to be greater than or equal to the maximum parameter value, the parameter adjustment type of the power module is obtained; The current parameter value of the power module is adjusted according to the parameter adjustment type.

8. The method according to claim 7, characterized in that, The preset operating parameter is the operating frequency of the power module, and adjusting the current parameter value of the power module according to the parameter adjustment type includes: When the parameter adjustment type is fixed frequency adjustment, determine the frequency level corresponding to the current parameter value; adjust the frequency level down by at least one level, and adjust the level corresponding to the minimum parameter value up by at least one level; When the parameter adjustment type is frequency conversion adjustment, a preset first frequency adjustment ratio and a preset second frequency adjustment ratio are determined; the current parameter value is lowered according to the first frequency adjustment ratio, and the minimum parameter value is increased according to the second frequency adjustment ratio.

9. The method according to claim 6, characterized in that, The power module comprises multiple modules, and each power module has its own corresponding photovoltaic module; determining the current parameter value of the preset operating parameter of the power module based on the current power generation capacity includes: Identify the operating power modules and non-operating power modules in the power module; wherein, the non-operating power modules are modules whose preset operating parameters are not adjusted; The current power generation capacity corresponding to the non-operating power module is allocated to the operating power module according to the target ratio to update the current power generation capacity of the operating power module and obtain the new current power generation capacity corresponding to the operating power module. For each of the operating power modules, the current parameter value of the preset operating parameters of the operating power module is determined based on the new current power generation capacity corresponding to the operating power module.

10. The method according to claim 5 or 9, characterized in that, The target ratio is determined in the following way: Obtain the load requirement of the temperature regulation module corresponding to each of the aforementioned operating power modules; The target ratio among the operating power modules is determined based on the load demand corresponding to each of the operating power modules.

11. The method according to claim 6, characterized in that, The current power generation capacity is the current power generation of the photovoltaic module. After adjusting the current parameter value, the method further includes: Determine the operating power of the power module corresponding to the adjusted current parameter value; Determine the power difference between the operating power and the current generating power; If the power difference is determined to be greater than a preset difference threshold, the range of the parameter value is adjusted.

12. An adjustment device for a power module, characterized in that, The power module operates by being powered by a preset photovoltaic module, and the device includes: A power generation capacity prediction module is used to predict the power generation capacity of the photovoltaic module within a preset future time period; The parameter value range determination module is used to determine the parameter value range of the preset operating parameters of the power module in the future time period based on the power generation capacity. The parameter value adjustment module is used to adjust the parameter value of the preset operating parameter according to the parameter value range; Wherein, the power generation capacity is a set of power generation capacities including multiple power generation capacities, and the preset operating parameters are operating frequencies; determining the parameter value range of the preset operating parameters of the power module within the future time period based on the power generation capacity includes: From the set of power generation, determine the maximum power generation; obtain the second correlation between the preset operating parameters and operating power of the power module; based on the maximum power generation and the second correlation, determine the maximum parameter value of the power module in the future time period; based on the maximum parameter value, determine the parameter value range of the power module; the maximum parameter value is the maximum parameter value of the preset operating parameters corresponding to the maximum power generation, and is the maximum value of the parameter value range.

13. An air conditioning device, characterized in that, include: Power module, photovoltaic module, processor, communication interface, memory and communication bus; The photovoltaic module is used to supply power to the power module. The power module is used to provide power to the air conditioning equipment; The processor, communication interface, and memory communicate with each other via a communication bus; the memory is used to store computer programs; the processor is used to implement the adjustment method of the power module according to any one of claims 1-11 when executing the computer program.

14. A storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the adjustment method of the power module according to any one of claims 1-11.

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