New energy photovoltaic box transformer microgrid intelligent power supply wide temperature range high efficiency energy conversion method, system and equipment

Abstract

The application discloses a new energy photovoltaic box transformer microgrid intelligent power supply wide temperature range high efficiency energy conversion method, system and equipment, comprising: in response to a preset illumination detection condition being triggered, obtaining a first illumination corresponding to a target photovoltaic device; according to the first illumination, based on the illumination-power-temperature model of the target photovoltaic device, obtaining the first power-temperature curve corresponding to the first illumination of the target photovoltaic device; according to the first power-temperature curve and the real-time environmental temperature of the target photovoltaic device, based on the working parameters of the temperature adjusting device, obtaining the first target temperature; according to the first target temperature, the temperature adjusting device is controlled. At least solve the problem that it is difficult to realize high efficiency energy conversion all year round when running in a wide temperature range, which seriously restricts the power generation performance and economy of the photovoltaic box transformer microgrid system in the extreme cold environment.

Description

Technical Field

[0001] This application relates to the field of power management technology, and in particular to a wide-temperature-range high-efficiency energy conversion method, system and equipment for smart power supply of new energy photovoltaic transformer substation microgrid. Background Technology

[0002] With the rapid development of renewable energy, photovoltaic (PV) power generation has become an important component of the new energy field. The PV-based transformer substation microgrid intelligent power system, as a compact solution integrating PV power generation, transformer substation, and microgrid control, enables efficient grid connection, local consumption, and optimized energy management of distributed PV systems. It is widely used in remote areas, industrial parks, and microgrid scenarios. This system typically employs maximum power point tracking (MPPT) technology, adjusting the operating voltage and current of the PV array in real time to ensure the PV equipment outputs maximum power under current illuminance conditions, thereby significantly improving power generation efficiency.

[0003] In existing technologies, MPPT (Power Temperature Coefficient) technology primarily optimizes the illuminance-voltage-current characteristics of photovoltaic (PV) modules, achieving high power generation efficiency at standard temperatures, such as around 25°C. However, in practical applications, the power output of PV equipment is significantly affected by cell temperature. The power temperature coefficient of PV modules is generally negative, typically -0.3% to -0.45% / °C, meaning that increased temperature leads to a significant decrease in power generation efficiency. Therefore, in high-temperature regions, existing solutions often employ passive cooling methods, such as natural ventilation, forced air cooling, or simple active cooling, to maintain the module temperature at a low level to minimize heat loss. Meanwhile, in extremely cold regions, where PV module temperatures drop dramatically, while increasing temperature can improve power generation efficiency, existing technologies have significant drawbacks: firstly, low temperatures increase the open-circuit voltage and internal resistance of PV cells, resulting in a decrease in actual output power; secondly, heating measures used to maintain high power generation efficiency, such as electric heating films and heat pipes, consume additional electrical energy, and the heating power is difficult to precisely match with the power generation gain, leading to a decrease in net output power, or even overheating or underheating. Existing passive or fixed threshold control strategies cannot dynamically balance heating energy consumption and power generation gain. Especially when operating over a wide temperature range, it is difficult to achieve efficient energy conversion throughout the year, which severely restricts the power generation performance and economy of photovoltaic microgrid systems in extreme cold environments.

[0004] Therefore, there is an urgent need for an intelligent control method that can comprehensively consider illuminance, ambient temperature, photovoltaic module characteristics, and power consumption of temperature regulation equipment, so as to effectively balance the temperature and power generation of photovoltaic power generation equipment in cold regions and maximize the net output power over a wide temperature range. Summary of the Invention

[0005] This invention provides a wide-temperature-range high-efficiency energy conversion method, system, and equipment for intelligent power supply of new energy photovoltaic transformer substation microgrid. It also provides a refined temperature control scheme for intelligent power supply of new energy photovoltaic transformer substation microgrid, which at least solves the problem that it is difficult to achieve high-efficiency energy conversion throughout the year when operating in a wide temperature range, which seriously restricts the power generation performance and economy of photovoltaic transformer substation microgrid systems in extreme cold environments.

[0006] On the one hand, this application provides a wide-temperature-range high-efficiency energy conversion method for a smart power supply of a new energy photovoltaic transformer substation microgrid, comprising: In response to the triggering of preset illuminance detection conditions, the first illuminance corresponding to the target photovoltaic device is obtained; Based on the first illuminance, and using the illuminance-power-temperature model of the target photovoltaic device, a first power-temperature curve corresponding to the first illuminance is obtained for the target photovoltaic device. Based on the first power-temperature curve and the real-time ambient temperature of the target photovoltaic device, a first target temperature is obtained based on the operating parameters of the temperature regulating device. The first target temperature is configured as the temperature at which the target photovoltaic device outputs the maximum power. The output power is equal to the power generation of the target photovoltaic device minus the regulating power of the temperature regulating device when maintaining the target photovoltaic device at the first target temperature. The temperature regulating device is controlled according to the first target temperature.

[0007] Optionally, the preset illuminance detection conditions include at least one of the following conditions: Condition 1: The preset illuminance detection cycle has been reached; Condition 2: The illuminance change corresponding to the target photovoltaic device is detected to exceed a preset threshold; Condition 3: The power change of the target photovoltaic device exceeds a preset threshold; Condition 4: Complete the previous control of the temperature regulating device.

[0008] Optionally, the step of obtaining a first illuminance corresponding to the target photovoltaic device in response to the triggering of a preset illuminance detection condition includes: In response to the triggering of a preset illuminance detection condition, the real-time illuminance corresponding to the target photovoltaic device is obtained as the second illuminance; Based on the changing trend of real-time illuminance corresponding to the target photovoltaic device, the second illuminance is corrected to obtain the first illuminance.

[0009] Optionally, before the step of obtaining the first power-temperature curve of the target photovoltaic device corresponding to the first illuminance based on the first illuminance and the illuminance-power-temperature model of the target photovoltaic device, the method further includes: Based on the target photovoltaic device, obtain historical illuminance data, historical power data, and historical device temperature data of the target photovoltaic device and / or photovoltaic devices of the same model as the target photovoltaic device; An initial model is established, which is configured to take illuminance data and equipment temperature data as inputs and power data as outputs; The initial model is trained using historical illuminance data, historical power data, and historical equipment temperature data to obtain the illuminance-power-temperature model of the target photovoltaic equipment.

[0010] Optionally, obtaining the first power-temperature curve of the target photovoltaic device corresponding to the first illuminance based on the first illuminance and the illuminance-power-temperature model of the target photovoltaic device includes: Based on the parameters of the target photovoltaic device, the real-time ambient temperature, and the operating parameters of the temperature control device, a first temperature range is obtained; Based on the first temperature range, at least five key temperatures within the first temperature range are obtained; The first illuminance and the at least 5 key temperatures are input into the illuminance-power-temperature model of the target photovoltaic device to obtain at least 5 key powers corresponding to the key temperatures; Based on the at least 5 key temperatures and the at least 5 key powers, a power-temperature curve corresponding to the first temperature range is obtained as the first power-temperature curve.

[0011] Optionally, obtaining the first target temperature based on the first power-temperature curve and the real-time ambient temperature of the target photovoltaic device, and based on the operating parameters of the temperature regulating device, includes: Based on the real-time ambient temperature and the parameters of the target photovoltaic device, a heat transfer power-temperature curve of the target photovoltaic device relative to the real-time ambient temperature is obtained. The heat transfer power-temperature curve is used to characterize the power of the target photovoltaic device in transferring heat to the environment at different temperatures. Based on the first power-temperature curve and the heat transfer power-temperature curve, and according to the operating parameters of the temperature regulating device, the first target temperature is obtained; The first target temperature is configured such that at this temperature, the power corresponding to the first power-temperature curve exceeds the power corresponding to the heat transfer power-temperature curve by the most.

[0012] Optionally, controlling the temperature regulating device according to the first target temperature includes: The real-time temperature of the target photovoltaic device is obtained as the second temperature; When the difference between the first target temperature and the second temperature is not less than a preset temperature threshold, the temperature regulating device is controlled to operate at a first power until the difference between the second temperature and the first target temperature is less than the preset temperature threshold. When the difference between the first target temperature and the second temperature is less than a preset temperature threshold, the temperature regulating device is controlled to operate at a second power until the power of the target photovoltaic device decreases, and the second power is less than the first power.

[0013] On the one hand, this application also provides a wide-temperature-range high-efficiency energy conversion system for a new energy photovoltaic transformer substation microgrid intelligent power supply, including an illuminance analysis module and a temperature regulation module; The illuminance analysis module is configured as follows: In response to the triggering of preset illuminance detection conditions, the first illuminance corresponding to the target photovoltaic device is obtained; Based on the first illuminance, and using the illuminance-power-temperature model of the target photovoltaic device, a first power-temperature curve corresponding to the first illuminance is obtained for the target photovoltaic device. Based on the first power-temperature curve and the real-time ambient temperature of the target photovoltaic device, a first target temperature is obtained based on the operating parameters of the temperature regulating device. The first target temperature is configured as the temperature at which the target photovoltaic device outputs the maximum power. The output power is equal to the power generation of the target photovoltaic device minus the regulating power of the temperature regulating device when maintaining the target photovoltaic device at the first target temperature. The temperature regulation module is configured as follows: The temperature regulating device is controlled according to the first target temperature.

[0014] Optionally, a power data storage module may also be included; The power data storage module is configured as follows: Store the maximum power of the target photovoltaic device under different illuminance and different temperatures, as well as the corresponding current and / or voltage values.

[0015] In another aspect, this application also provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program and the processor executes the computer program to implement the above-described method.

[0016] In another aspect, this application also provides a computer-readable storage medium storing a computer program, on which a processor executes the computer program to implement the above-described method.

[0017] Compared with the prior art, the present invention has the following advantages and beneficial effects: This invention discloses a wide-temperature-range high-efficiency energy conversion method, system, and device for a smart power supply in a new energy photovoltaic transformer substation microgrid. The method includes: obtaining a first illuminance corresponding to a target photovoltaic device in response to a preset illuminance detection condition; obtaining a first power-temperature curve corresponding to the target photovoltaic device and the first illuminance based on the first illuminance and an illuminance-power-temperature model of the target photovoltaic device; obtaining a first target temperature based on the first power-temperature curve and the real-time ambient temperature of the target photovoltaic device, and based on the operating parameters of a temperature regulating device. The first target temperature is configured as the temperature at which the target photovoltaic device outputs maximum power, and the output power is equal to the power generation of the target photovoltaic device minus the regulating power of the temperature regulating device when maintaining the target photovoltaic device at the first target temperature; and controlling the temperature regulating device according to the first target temperature. This invention at least solves the problem that currently, when operating in a wide temperature range, it is difficult to achieve high-efficiency energy conversion throughout the year, which severely restricts the power generation performance and economy of photovoltaic transformer substation microgrid systems in extremely cold environments. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0019] Figure 1 This is a flowchart illustrating the wide-temperature-range high-efficiency energy conversion method for the smart power supply of new energy photovoltaic transformer substation microgrid in this application. Figure 2 This is a schematic diagram of the structure of a computer device according to this application.

[0020] The diagram is labeled as follows: 101-Processor, 102-Communication bus, 103-Network interface, 104-User interface, 105-Memory.

[0021] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0022] To enable those skilled in the art to better understand the present disclosure, the technical solutions of the present disclosure will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present disclosure, and not all embodiments. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present disclosure.

[0023] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0024] Example 1 like Figure 1 As shown, a wide-temperature-range high-efficiency energy conversion method for a smart power supply of a new energy photovoltaic transformer substation microgrid includes: S1. In response to the preset illuminance detection conditions being triggered, obtain the first illuminance corresponding to the target photovoltaic device.

[0025] In this embodiment, the purpose of this step is to determine the first illuminance of the environment where the target photovoltaic device is located, as an input parameter for subsequent power and temperature calculations.

[0026] Specifically, when the preset conditions are met, the microgrid system corresponding to the target photovoltaic equipment will detect the light intensity corresponding to the target photovoltaic equipment.

[0027] S2. Based on the first illuminance, and using the illuminance-power-temperature model of the target photovoltaic device, obtain the first power-temperature curve of the target photovoltaic device corresponding to the first illuminance.

[0028] In this embodiment, the purpose of this step is to establish a relationship model between illuminance, power and temperature using mathematical models, such as regression analysis models or machine learning algorithms, based on the historical operating data and environmental parameters of the photovoltaic equipment. This model should accurately reflect the interaction between light intensity, power generation and equipment temperature.

[0029] Specifically, based on the first illuminance, the power-temperature curve corresponding to that illuminance is obtained through the illuminance-power-temperature model. The power-temperature curve is used to describe the power generation capacity of the photovoltaic device at different temperatures under the first illuminance.

[0030] S3. Based on the first power-temperature curve and the real-time ambient temperature of the target photovoltaic equipment, obtain the first target temperature according to the operating parameters of the temperature regulating equipment.

[0031] Specifically, the first target temperature is configured as the temperature at which the target photovoltaic device outputs the maximum power. The output power is equal to the power generation of the target photovoltaic device minus the regulation power of the temperature regulation device to maintain the target photovoltaic device at the first target temperature.

[0032] In this embodiment, the purpose of this step is to determine the first target temperature based on the first illuminance of the target photovoltaic device and the real-time ambient temperature, combined with the previously generated power-temperature curve. This temperature is the temperature at which the photovoltaic device can output the maximum power under the first illuminance condition.

[0033] S4. Control the temperature regulating equipment according to the first target temperature.

[0034] In this embodiment, the purpose of this step is to adjust the working state of the temperature regulating device in real time according to the first target temperature. The temperature regulating device, such as a cooling fan, heat pipe, liquid cooling system, etc., will adjust its operation mode according to the deviation between the current temperature and the first target temperature to achieve rapid temperature recovery and stabilization.

[0035] Specifically, a closed-loop control system can be formed between the temperature regulation equipment and the photovoltaic equipment. Whenever the temperature changes, the system will detect the temperature fluctuation through sensors and adjust the temperature control strategy in a timely manner based on the feedback signal to ensure that the photovoltaic equipment is kept within the optimal operating temperature range.

[0036] The microgrid system continuously monitors the output power of photovoltaic equipment and changes in ambient temperature, dynamically adjusting the operating strategy of the temperature control equipment to ensure a balance between temperature and power generation efficiency. Through this intelligent temperature control system, not only can the power generation of photovoltaic equipment be maximized, but also equipment damage or inefficiency caused by temperature fluctuations can be avoided.

[0037] This solution successfully solves the problem of balancing temperature and power generation in photovoltaic equipment over a wide temperature range through precise temperature control and intelligent adjustment, ensuring both equipment safety and improved power generation efficiency.

[0038] Example 2 Based on Example 1, this embodiment provides a wide-temperature-range high-efficiency energy conversion method for a smart power supply for a new energy photovoltaic transformer substation microgrid, comprising: S1. In response to the preset illuminance detection conditions being triggered, obtain the first illuminance corresponding to the target photovoltaic device.

[0039] Optional, preset illuminance detection conditions include at least one of the following conditions: Condition 1: The preset illuminance detection cycle has been reached; Condition 2: The illuminance change corresponding to the target photovoltaic device is detected to exceed a preset threshold; Condition 3: The power variation of the target photovoltaic equipment exceeds a preset threshold; Condition 4: Complete the previous control of the temperature regulation equipment.

[0040] Specifically, the system is triggered in response to preset illuminance detection conditions. This can be triggered every 5 to 60 minutes, or when the illuminance change corresponding to the target photovoltaic device exceeds a preset threshold, such as when the change exceeds 25W / m² or 20%. Alternatively, it can be triggered when the power change of the target photovoltaic device exceeds a preset threshold, such as when the power change exceeds 200W or 20%. The first illuminance corresponding to the target photovoltaic device is obtained through an illuminance sensor installed near the photovoltaic array or integrated into the photovoltaic module.

[0041] Optionally, in response to the triggering of preset illuminance detection conditions, a first illuminance corresponding to the target photovoltaic device is obtained, including: In response to the triggering of preset illuminance detection conditions, the real-time illuminance corresponding to the target photovoltaic device is obtained as the second illuminance; Based on the changing trend of real-time illuminance corresponding to the target photovoltaic equipment, the second illuminance is corrected to obtain the first illuminance.

[0042] Specifically, if the time when the second illuminance is obtained is during a period when the illuminance is gradually increasing, such as in the morning, then the first illuminance is obtained by increasing the second illuminance. If the time when the second illuminance is obtained is during a period when the illuminance is gradually decreasing, such as in the afternoon, then the first illuminance is obtained by decreasing the second illuminance.

[0043] S2. Based on the first illuminance, and using the illuminance-power-temperature model of the target photovoltaic device, obtain the first power-temperature curve of the target photovoltaic device corresponding to the first illuminance.

[0044] Specifically, based on the current first illuminance, the pre-established and periodically calibrated target photovoltaic equipment illuminance-power-temperature model (hereinafter referred to as the EPT model) is invoked to calculate the first power-temperature curve P(T) of the photovoltaic equipment under this illuminance.

[0045] Specifically, the EPT model can adopt the classic single-exponential model: P ( E , T )= P STC ×[ E / E STC ]×[1+ a P ×( TT STC )]; in, PSTC The rated power is under standard test conditions, such as 1000W / m² at 25℃. E STC =1000W / m², T STC =25℃; a P The power temperature coefficient; E For real-time illuminance ，T This is the real-time temperature.

[0046] Specifically, the EPT model can also adopt a double binomial model: P ( E , T )=( a 1 E + a 2 E 2 )×[1+ a P ( TT STC )]+ b 1( TT STC )+ b 2( TT STC ) 2 ; in a 1. a 2. b 1. b 2 represents the coefficient obtained based on the historical illuminance-power-temperature data of the target photovoltaic equipment.

[0047] Specifically, the EPT model can also employ machine learning or neural network models.

[0048] Optionally, before the step of obtaining the first power-temperature curve of the target photovoltaic device corresponding to the first illuminance based on the first illuminance and the illuminance-power-temperature model of the target photovoltaic device, the method further includes: Based on the target photovoltaic equipment, obtain historical illuminance data, historical power data, and historical equipment temperature data for the target photovoltaic equipment and / or photovoltaic equipment of the same model as the target photovoltaic equipment; An initial model was established, configured to take illuminance data and equipment temperature data as inputs and power data as outputs; The initial model is trained using historical illuminance data, historical power data, and historical equipment temperature data to obtain the illuminance-power-temperature model for the target photovoltaic equipment.

[0049] Optionally, based on the first illuminance and the illuminance-power-temperature model of the target photovoltaic device, a first power-temperature curve corresponding to the first illuminance is obtained, including: Based on the parameters of the target photovoltaic equipment, the real-time ambient temperature, and the operating parameters of the temperature control equipment, a first temperature range is obtained. Based on the first temperature range, obtain at least 5 key temperatures within the first temperature range; Input the first illuminance and at least 5 key temperatures into the illuminance-power-temperature model of the target photovoltaic device to obtain at least 5 key powers corresponding to the key temperatures; Based on at least 5 key temperatures and at least 5 key powers, obtain the power-temperature curve corresponding to the first temperature range as the first power-temperature curve.

[0050] S3. Based on the first power-temperature curve and the real-time ambient temperature of the target photovoltaic equipment, obtain the first target temperature according to the operating parameters of the temperature regulating equipment.

[0051] Specifically, the first target temperature is configured as the temperature at which the target photovoltaic device outputs the maximum power. The output power is equal to the power generation of the target photovoltaic device minus the regulation power of the temperature regulation device to maintain the target photovoltaic device at the first target temperature.

[0052] Optionally, based on the first power-temperature curve and the real-time ambient temperature of the target photovoltaic device, and according to the operating parameters of the temperature regulation device, the first target temperature is obtained, including: Based on the real-time ambient temperature and the parameters of the target photovoltaic device, the heat transfer power-temperature curve of the target photovoltaic device relative to the real-time ambient temperature is obtained. The heat transfer power-temperature curve is used to characterize the power of the target photovoltaic device in transferring heat to the environment at different temperatures. Based on the first power-temperature curve and the heat transfer power-temperature curve, and using the operating parameters of the temperature control device, the first target temperature is obtained. The first target temperature is configured such that the power corresponding to the first power-temperature curve exceeds the power corresponding to the heat transfer power-temperature curve by the most at that temperature.

[0053] Specifically, based on the first power-temperature curve obtained from S2 P ( T ), combined with the current real-time ambient temperature T a Power consumption models for temperature regulation devices, such as active cooling / heating systems, including air cooling, water cooling, thermoelectric cooling, phase change material assisted cooling, heat pipes, etc. P r ( T t , Ta The first target temperature was calculated. T t .

[0054] Furthermore, T t The core optimization objective is: T t =argmax[ P ( T )- P r ( T t , T a )]; in: P ( T ( ) represents the temperature of the photovoltaic equipment under the first illuminance. T Power generation at that time; P r ( T t , T a To maintain the temperature of photovoltaic equipment at T t The required power consumption of the temperature control equipment; Specifically, a kind of acquisition T t Method: S301, Obtain the permissible operating temperature range of the target photovoltaic module. T min to T max ; S302. Using a preset step size, such as 1°C, in... T min to T max Internal Discretization Temperature Point T i ; S303, for each T i Calculate photovoltaic power generation P ( T i ); S304. Calculate based on the type of temperature control equipment. P r ( T i , T a If the temperature control equipment is air-cooled or water-cooled:P r ( T i , T a )≈k×( T i - T a ) n ; S305, Calculate Net Power P n ( T i )=P( T i )- P r ( T i , T a Select P n ( T i The largest T i As the first target temperature T t .

[0055] S4. Control the temperature regulating equipment according to the first target temperature.

[0056] Specifically, the calculated first target temperature T t As a setpoint, algorithms such as PID and fuzzy control are used to perform real-time closed-loop control on the temperature regulation equipment, so that the actual operating temperature of the photovoltaic equipment approaches the setpoint. T t .

[0057] Specifically, the control process can incorporate features such as multi-point temperature sensors, safety protection functions, and adaptive adjustment functions, which can dynamically adjust the adjustment intensity based on the current efficiency of the regulating equipment or the power balance requirements of the microgrid.

[0058] Optionally, the temperature control device is controlled according to the first target temperature, including: The real-time temperature of the target photovoltaic device is obtained as the second temperature. When the difference between the first target temperature and the second temperature is not less than the preset temperature threshold, the temperature regulating device is controlled to operate at the first power until the difference between the second temperature and the first target temperature is less than the preset temperature threshold. When the difference between the first target temperature and the second temperature is less than the preset temperature threshold, the temperature regulation device is controlled to operate at the second power until the power of the target photovoltaic device decreases and the second power is less than the first power.

[0059] Using the above scheme, the microgrid system can maximize the dynamic net power of photovoltaic equipment. Traditional methods only aim for the photovoltaic equipment temperature to approach the ideal temperature, while this method, for the first time, explicitly considers the energy consumption cost of temperature regulation equipment and pursues maximum net output power. In high-illuminance, high-temperature, or high-cold scenarios, it may actively allow deviations between the module temperature and the ideal temperature. At the same time, based on a data model, it avoids blind over-adjustment and significantly reduces auxiliary energy consumption. It is particularly suitable for photovoltaic box-type substations + microgrid systems with extremely high energy conversion efficiency requirements and can be directly integrated into the energy management system (EMS). Example 3 Based on Embodiments 1 and 2, this embodiment also provides a wide-temperature-range high-efficiency energy conversion system for a smart power supply of a new energy photovoltaic transformer substation microgrid, including an illuminance analysis module and a temperature regulation module. The illuminance analysis module is configured as follows: In response to the triggering of preset illuminance detection conditions, the first illuminance corresponding to the target photovoltaic device is obtained; Based on the first illuminance, and using the illuminance-power-temperature model of the target photovoltaic device, the first power-temperature curve corresponding to the first illuminance is obtained for the target photovoltaic device. Based on the first power-temperature curve and the real-time ambient temperature of the target photovoltaic device, and based on the operating parameters of the temperature regulating device, the first target temperature is obtained. The first target temperature is configured as the temperature at which the target photovoltaic device outputs the maximum power. The output power is equal to the power generation of the target photovoltaic device minus the regulating power of the temperature regulating device when maintaining the target photovoltaic device at the first target temperature. The temperature control module is configured as follows: The temperature control equipment is controlled based on the first target temperature.

[0060] Optionally, a power data storage module may also be included; The power data storage module is configured as follows: Store the maximum power of the target photovoltaic device under different illuminance and temperature conditions, and the corresponding current and / or voltage values.

[0061] Optional, preset illuminance detection conditions include at least one of the following conditions: Condition 1: The preset illuminance detection cycle has been reached; Condition 2: The illuminance change corresponding to the target photovoltaic device is detected to exceed a preset threshold; Condition 3: The power variation of the target photovoltaic equipment exceeds a preset threshold; Condition 4: Complete the previous control of the temperature regulation equipment.

[0062] Optionally, in response to the triggering of preset illuminance detection conditions, a first illuminance corresponding to the target photovoltaic device is obtained, including: In response to the triggering of preset illuminance detection conditions, the real-time illuminance corresponding to the target photovoltaic device is obtained as the second illuminance; Based on the changing trend of real-time illuminance corresponding to the target photovoltaic equipment, the second illuminance is corrected to obtain the first illuminance.

[0063] Optionally, before the step of obtaining the first power-temperature curve of the target photovoltaic device corresponding to the first illuminance based on the first illuminance and the illuminance-power-temperature model of the target photovoltaic device, the method further includes: Based on the target photovoltaic equipment, obtain historical illuminance data, historical power data, and historical equipment temperature data for the target photovoltaic equipment and / or photovoltaic equipment of the same model as the target photovoltaic equipment; An initial model was established, configured to take illuminance data and equipment temperature data as inputs and power data as outputs; The initial model is trained using historical illuminance data, historical power data, and historical equipment temperature data to obtain the illuminance-power-temperature model for the target photovoltaic equipment.

[0064] Optionally, based on the first illuminance and the illuminance-power-temperature model of the target photovoltaic device, a first power-temperature curve corresponding to the first illuminance is obtained, including: Based on the parameters of the target photovoltaic equipment, the real-time ambient temperature, and the operating parameters of the temperature control equipment, a first temperature range is obtained. Based on the first temperature range, obtain at least 5 key temperatures within the first temperature range; Input the first illuminance and at least 5 key temperatures into the illuminance-power-temperature model of the target photovoltaic device to obtain at least 5 key powers corresponding to the key temperatures; Based on at least 5 key temperatures and at least 5 key powers, obtain the power-temperature curve corresponding to the first temperature range as the first power-temperature curve.

[0065] Optionally, based on the first power-temperature curve and the real-time ambient temperature of the target photovoltaic device, and according to the operating parameters of the temperature regulation device, the first target temperature is obtained, including: Based on the real-time ambient temperature and the parameters of the target photovoltaic device, the heat transfer power-temperature curve of the target photovoltaic device relative to the real-time ambient temperature is obtained. The heat transfer power-temperature curve is used to characterize the power of the target photovoltaic device in transferring heat to the environment at different temperatures. Based on the first power-temperature curve and the heat transfer power-temperature curve, and using the operating parameters of the temperature control device, the first target temperature is obtained. The first target temperature is configured such that the power corresponding to the first power-temperature curve exceeds the power corresponding to the heat transfer power-temperature curve by the most at that temperature.

[0066] Optionally, the temperature control device is controlled according to the first target temperature, including: The real-time temperature of the target photovoltaic device is obtained as the second temperature. When the difference between the first target temperature and the second temperature is not less than the preset temperature threshold, the temperature regulating device is controlled to operate at the first power until the difference between the second temperature and the first target temperature is less than the preset temperature threshold. When the difference between the first target temperature and the second temperature is less than the preset temperature threshold, the temperature regulation device is controlled to operate at the second power until the power of the target photovoltaic device decreases and the second power is less than the first power.

[0067] Example 4 This embodiment provides a computer device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement any of the methods described above.

[0068] Specifically, such as Figure 2 As shown, Figure 2This is a schematic diagram of the computer device structure of the hardware operating environment involved in the embodiments of this application. The computer device may include: a processor 101, such as a central processing unit (CPU), a communication bus 102, a user interface 104, a network interface 103, and a memory 105. The communication bus 102 is used to realize the connection and communication between these components. The user interface 104 may include a display screen and an input unit such as a keyboard. Optionally, the user interface 104 may also include a standard wired interface and a wireless interface. The network interface 103 may optionally include a standard wired interface and a wireless interface (such as a Wi-Fi interface). The memory 105 may be a storage device independent of the aforementioned processor 101. The memory 105 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as at least one disk storage device. The processor 101 may be a general-purpose processor, including a central processing unit, a network processor, etc., or it may be a digital signal processor, an application-specific integrated circuit, a field-programmable gate array or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component.

[0069] Those skilled in the art will understand that Figure 2 The structure shown does not constitute a limitation on the computer device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0070] like Figure 2 As shown, the memory 105, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and an application program for realizing a wide-temperature-range high-efficiency energy conversion method for a smart power supply of a new energy photovoltaic transformer substation microgrid.

[0071] exist Figure 2 In the computer device shown, the network interface 103 is mainly used for data communication with the network server; the user interface 104 is mainly used for data interaction with the user; the processor 101 and memory 105 in this application can be set in the computer device, and the computer device can call the application program stored in the memory 105 through the processor 101 to implement the wide temperature range high efficiency energy conversion method of the smart power supply of the microgrid of new energy photovoltaic transformer substation to implement the above method.

[0072] Example 5 This embodiment provides a computer-readable storage medium on which a computer program is stored, and a processor executes the computer program to implement any of the methods described above.

[0073] In some embodiments, the computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or it may be a device including one or any combination of the above-mentioned memories. The computer may be a variety of computing devices, including smart terminals and servers.

[0074] In the above embodiments of this disclosure, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0075] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0076] 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 units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0077] Furthermore, the functional units in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0078] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable non-volatile storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a non-volatile storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this disclosure. The aforementioned non-volatile storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0079] The above are merely preferred embodiments of this disclosure. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of this disclosure, and these improvements and modifications should also be considered within the scope of protection of this disclosure.

Claims

1. A wide-temperature-range high-efficiency energy conversion method for smart power supplies in new energy photovoltaic transformer substations and microgrids, characterized in that, include: In response to the triggering of preset illuminance detection conditions, the first illuminance corresponding to the target photovoltaic device is obtained; Based on the first illuminance, and using the illuminance-power-temperature model of the target photovoltaic device, a first power-temperature curve corresponding to the first illuminance is obtained for the target photovoltaic device. Based on the first power-temperature curve and the real-time ambient temperature of the target photovoltaic device, a first target temperature is obtained based on the operating parameters of the temperature regulating device. The first target temperature is configured as the temperature at which the target photovoltaic device outputs the maximum power. The output power is equal to the power generation of the target photovoltaic device minus the regulating power of the temperature regulating device when maintaining the target photovoltaic device at the first target temperature. The temperature regulating device is controlled according to the first target temperature.

2. The wide-temperature-range high-efficiency energy conversion method for a new energy photovoltaic transformer substation microgrid intelligent power supply according to claim 1, characterized in that, The preset illuminance detection conditions include at least one of the following conditions: Condition 1: The preset illuminance detection cycle has been reached; Condition 2: The illuminance change corresponding to the target photovoltaic device is detected to exceed a preset threshold; Condition 3: The power change of the target photovoltaic device exceeds a preset threshold; Condition 4: Complete the previous control of the temperature regulating device.

3. The wide-temperature-range high-efficiency energy conversion method for a new energy photovoltaic transformer substation microgrid intelligent power supply according to claim 1, characterized in that, The step of obtaining a first illuminance corresponding to the target photovoltaic device in response to the triggering of a preset illuminance detection condition includes: In response to the triggering of a preset illuminance detection condition, the real-time illuminance corresponding to the target photovoltaic device is obtained as the second illuminance; Based on the changing trend of real-time illuminance corresponding to the target photovoltaic device, the second illuminance is corrected to obtain the first illuminance.

4. The wide-temperature-range high-efficiency energy conversion method for a new energy photovoltaic transformer substation microgrid intelligent power supply according to claim 1, characterized in that, Before the step of obtaining the first power-temperature curve of the target photovoltaic device corresponding to the first illuminance based on the first illuminance and the illuminance-power-temperature model of the target photovoltaic device, the method further includes: Based on the target photovoltaic device, obtain historical illuminance data, historical power data, and historical device temperature data of the target photovoltaic device and / or photovoltaic devices of the same model as the target photovoltaic device; An initial model is established, which is configured to take illuminance data and equipment temperature data as inputs and power data as outputs; The initial model is trained using historical illuminance data, historical power data, and historical equipment temperature data to obtain the illuminance-power-temperature model of the target photovoltaic equipment.

5. The wide-temperature-range high-efficiency energy conversion method for a new energy photovoltaic transformer substation microgrid intelligent power supply according to claim 4, characterized in that, The step of obtaining the first power-temperature curve of the target photovoltaic device corresponding to the first illuminance based on the first illuminance and the illuminance-power-temperature model of the target photovoltaic device includes: Based on the parameters of the target photovoltaic device, the real-time ambient temperature, and the operating parameters of the temperature control device, a first temperature range is obtained; Based on the first temperature range, at least five key temperatures within the first temperature range are obtained; The first illuminance and the at least 5 key temperatures are input into the illuminance-power-temperature model of the target photovoltaic device to obtain at least 5 key powers corresponding to the key temperatures; Based on the at least 5 key temperatures and the at least 5 key powers, a power-temperature curve corresponding to the first temperature range is obtained as the first power-temperature curve.

6. The wide-temperature-range high-efficiency energy conversion method for a new energy photovoltaic microgrid intelligent power supply according to claim 1, characterized in that, The step of obtaining the first target temperature based on the first power-temperature curve and the real-time ambient temperature of the target photovoltaic device, and based on the operating parameters of the temperature regulation device, includes: Based on the real-time ambient temperature and the parameters of the target photovoltaic device, a heat transfer power-temperature curve of the target photovoltaic device relative to the real-time ambient temperature is obtained. The heat transfer power-temperature curve is used to characterize the power of the target photovoltaic device in transferring heat to the environment at different temperatures. Based on the first power-temperature curve and the heat transfer power-temperature curve, and according to the operating parameters of the temperature regulating device, the first target temperature is obtained; The first target temperature is configured such that at this temperature, the power corresponding to the first power-temperature curve exceeds the power corresponding to the heat transfer power-temperature curve by the most.

7. The wide-temperature-range high-efficiency energy conversion method for a new energy photovoltaic transformer substation microgrid intelligent power supply according to claim 1, characterized in that, The step of controlling the temperature regulating device according to the first target temperature includes: The real-time temperature of the target photovoltaic device is obtained as the second temperature; When the difference between the first target temperature and the second temperature is not less than a preset temperature threshold, the temperature regulating device is controlled to operate at a first power until the difference between the second temperature and the first target temperature is less than the preset temperature threshold. When the difference between the first target temperature and the second temperature is less than a preset temperature threshold, the temperature regulating device is controlled to operate at a second power until the power of the target photovoltaic device decreases, and the second power is less than the first power.

8. A wide-temperature-range high-efficiency energy conversion system for a smart power supply of a new energy photovoltaic transformer substation microgrid, characterized in that, Includes an illuminance analysis module and a temperature control module; The illuminance analysis module is configured as follows: In response to the triggering of preset illuminance detection conditions, the first illuminance corresponding to the target photovoltaic device is obtained; Based on the first illuminance, and using the illuminance-power-temperature model of the target photovoltaic device, a first power-temperature curve corresponding to the first illuminance is obtained for the target photovoltaic device. Based on the first power-temperature curve and the real-time ambient temperature of the target photovoltaic device, a first target temperature is obtained based on the operating parameters of the temperature regulating device. The first target temperature is configured as the temperature at which the target photovoltaic device outputs the maximum power. The output power is equal to the power generation of the target photovoltaic device minus the regulating power of the temperature regulating device when maintaining the target photovoltaic device at the first target temperature. The temperature regulation module is configured as follows: The temperature regulating device is controlled according to the first target temperature.

9. The wide-temperature-range high-efficiency energy conversion system for a new energy photovoltaic transformer substation microgrid intelligent power supply according to claim 8, characterized in that, It also includes a power data storage module; The power data storage module is configured as follows: Store the maximum power of the target photovoltaic device under different illuminance and different temperatures, as well as the corresponding current and / or voltage values.

10. A computer device, characterized in that, The computer device includes a memory and a processor, wherein the memory stores a computer program and the processor executes the computer program to implement the method according to any one of claims 1-8.

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