Control method of intelligent fuse for direct current cabinet protection and related device

Abstract

The invention provides a control method of an intelligent fuse for DC cabinet protection and a related device. The method comprises the following steps: acquiring first current data and a first environment parameter set of a photovoltaic module in a preset first time period; determining a first protection threshold according to the first current data; acquiring second current data and a second environment parameter set of the photovoltaic module in a preset second time period; adjusting the first protection threshold according to the first environment parameter set and the second environment parameter set to obtain a second protection threshold; acquiring reference temperature data of the DC cabinet in a preset second time period; adjusting the second protection threshold according to the reference temperature data to obtain a third protection threshold; determining a current state according to the second current data and a third protection threshold value; and the intelligent fuse is controlled to perform circuit breaking processing according to the current state so as to ensure the operation safety of the DC cabinet. By dynamically and accurately adjusting the protection threshold, the safety of the DC cabinet can be improved.

Description

Technical Field

[0001] The present application relates to the field of circuit control technologies, and in particular, to a control method and related device for an intelligent fuse for DC cabinet protection. Background Art

[0002] The output characteristics of a photovoltaic power generation system highly depend on environmental factors such as light intensity and temperature, and the operation conditions of its DC circuit are complex and variable. Among them, the fluctuations of temperature and light intensity will significantly change the circuit operation characteristics and equipment performance, and the traditional fixed protection threshold is difficult to adapt to this dynamic change, resulting in potential safety hazards for the DC cabinet during operation.

[0003] Therefore, how to improve the safety of the DC cabinet is an urgent problem to be solved. Summary of the Invention

[0004] The embodiments of the present application provide a control method and related device for an intelligent fuse for DC cabinet protection, which dynamically adjust the protection threshold according to the actual situation, judge the current state by combining current data, and timely control the intelligent fuse to perform an open circuit process, thereby improving the safety of the DC cabinet.

[0005] In a first aspect, the embodiments of the present application provide a control method for an intelligent fuse for DC cabinet protection, which is applied to a controller of an intelligent power system; the intelligent power system includes the controller, a photovoltaic module, a DC cabinet, and an intelligent fuse; the controller is connected to the photovoltaic module, the DC cabinet, and the intelligent fuse through communication lines; the photovoltaic module, the DC cabinet, and the intelligent fuse are connected in series; the method includes: Obtain first current data and a first set of environmental parameters of the photovoltaic module within a preset first time period; Determine a first protection threshold according to the first current data; Obtain second current data and a second set of environmental parameters of the photovoltaic module within a preset second time period; the end time of the preset first time period is earlier than the start time of the preset second time period; Adjust the first protection threshold according to the first set of environmental parameters and the second set of environmental parameters to obtain a second protection threshold; Obtain reference temperature data of the DC cabinet within the preset second time period; Adjust the second protection threshold according to the reference temperature data to obtain a third protection threshold; Determine the current state according to the second current data and the third protection threshold; Control the intelligent fuse to perform an open circuit process according to the current state to ensure the safe operation of the DC cabinet.

[0006] In a second aspect, an embodiment of the present application provides a control device for an intelligent fuse used for DC cabinet protection, which is applied to a controller of an intelligent power system; the intelligent power system includes the controller, a photovoltaic module, a DC cabinet, and an intelligent fuse; the controller is connected to the photovoltaic module, the DC cabinet, and the intelligent fuse through communication lines; the device includes an acquisition module, a determination module, an adjustment module, and a control module, where: The acquisition module is configured to acquire first current data and a first set of environmental parameters of the photovoltaic module within a preset first time period; The determination module is configured to determine a first protection threshold according to the first current data; The acquisition module is further configured to acquire second current data and a second set of environmental parameters of the photovoltaic module within a preset second time period; the end time of the preset first time period is earlier than the start time of the preset second time period; The adjustment module is configured to adjust the first protection threshold according to the first set of environmental parameters and the second set of environmental parameters to obtain a second protection threshold; The acquisition module is further configured to acquire reference temperature data of the DC cabinet within the preset second time period; The adjustment module is further configured to adjust the second protection threshold according to the reference temperature data to obtain a third protection threshold; The determination module is further configured to determine a current state according to the second current data and the third protection threshold; The control module is configured to control the intelligent fuse to perform an open circuit process according to the current state to ensure the safe operation of the DC cabinet.

[0007] In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the above one or more programs are stored in the above memory and are configured to be executed by the above processor, and the programs include instructions for performing the steps in any method of the first aspect of the embodiments of the present application.

[0008] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, and the computer program causes a computer to execute some or all of the steps described in any method of the first aspect of the embodiments of the present application.

[0009] Fifth aspect, an embodiment of the present application provides a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in any of the methods in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.

[0010] By implementing the embodiments of the present application, the protection threshold is dynamically adjusted according to the actual situation, the current state is judged in combination with the current data, and the intelligent fuse is timely controlled to perform open circuit processing, thereby improving the safety of the DC cabinet. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained according to these drawings without creative efforts.

[0012] Figure 1 is a system architecture diagram of an intelligent power system provided by an embodiment of the present application; Figure 2 is an application scenario diagram of an intelligent fuse provided by an embodiment of the present application; Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application; Figure 4 is a schematic flowchart of a control method for an intelligent fuse for DC cabinet protection provided by an embodiment of the present application; Figure 5 is a schematic flowchart of determining a first protection threshold provided by an embodiment of the present application; Figure 6 is a schematic flowchart of judging the current state provided by an embodiment of the present application; Figure 7 is a schematic flowchart of open circuit processing provided by an embodiment of the present application; Figure 8 is a functional module composition block diagram of a control device for an intelligent fuse for DC cabinet protection provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0013] To enable those skilled in the art to better understand the solution of this application, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the scope of protection of this application.

[0014] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned accompanying drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices.

[0015] It should be understood that the term "and / or" in this article is only an association relationship describing associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article indicates that the associated objects before and after are in an "or" relationship. The "multiple" that appears in the embodiments of this application refers to two or more.

[0016] The "at least one (piece)" or its similar expression in the embodiments of this application refers to any combination of these items, including any combination of single item (piece) or plural items (pieces), referring to one or more, and multiple refers to two or more. For example, at least one (piece) of a, b, or c can represent the following seven situations: a, b, c, a and b, a and c, b and c, a, b, and c. Among them, each of a, b, and c can be an element or a set containing one or more elements.

[0017] The "connection" that appears in the embodiments of this application refers to various connection methods such as direct connection or indirect connection to achieve communication between devices, and this application does not make any limitation on this.

[0018] Referring to "embodiment" in this article means that the specific features, structures, or characteristics described in combination with the embodiment can be included in at least one embodiment of this application. The appearance of this phrase in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0019] The relevant terms involved in this application are explained as follows: DC cabinet: It refers to a power distribution device used to provide a stable DC power supply. Generally, it consists of a voltage converter, a voltage stabilizer, a current protector, a compensator, a monitoring and display component, and a multi-channel combined device, etc. In a photovoltaic power generation system, the DC cabinet can collect the DC power generated by the photovoltaic modules and distribute the DC power to the electrical equipment.

[0020] The output characteristics of a photovoltaic power generation system highly depend on environmental factors such as light intensity and temperature, and the operation conditions of its DC circuit are complex and changeable. Among them, the fluctuations of temperature and light intensity will significantly change the circuit operation characteristics and equipment performance. The traditional fixed protection threshold is difficult to adapt to this dynamic change, resulting in potential safety hazards for the DC cabinet during operation. Therefore, how to improve the safety of the DC cabinet is an urgent problem to be solved.

[0021] To solve the above problems, the embodiments of this application provide a control method and related device for an intelligent fuse for DC cabinet protection, which are applied to the controller of an intelligent power system; the intelligent power system includes the controller, photovoltaic modules, DC cabinet, and intelligent fuse; the controller is connected to the photovoltaic modules, the DC cabinet, and the intelligent fuse through communication lines; the photovoltaic modules, the DC cabinet, and the intelligent fuse are connected in series. First, obtain the first current data and the first set of environmental parameters of the photovoltaic modules within a preset first time period; then determine the first protection threshold according to the first current data; then, obtain the second current data and the second set of environmental parameters of the photovoltaic modules within a preset second time period; the end time of the preset first time period is earlier than the start time of the preset second time period; adjust the first protection threshold according to the first set of environmental parameters and the second set of environmental parameters to obtain the second protection threshold; then obtain the reference temperature data of the DC cabinet within the preset second time period; adjust the second protection threshold according to the reference temperature data to obtain the third protection threshold; determine the current state according to the second current data and the third protection threshold; finally, control the intelligent fuse to perform an open circuit process according to the current state to ensure the safe operation of the DC cabinet. Dynamically adjust the protection threshold according to the actual situation, judge the current state by combining the current data, and timely control the intelligent fuse to perform an open circuit process, thereby improving the safety of the DC cabinet.

[0022] For easy understanding, please refer to Figure 1 , Figure 1 which is the system architecture diagram of an intelligent power system provided by the embodiments of this application. The intelligent power system includes a controller, photovoltaic modules, a DC cabinet, and an intelligent fuse. Among them, the controller is connected to the photovoltaic modules, the DC cabinet, and the intelligent fuse through communication lines; the photovoltaic modules, the DC cabinet, and the intelligent fuse are connected in series.

[0023] Among them, the photovoltaic module can utilize the photovoltaic effect of semiconductor materials to directly convert solar energy into direct current. Under illumination conditions, the photovoltaic cells in the photovoltaic module absorb photon energy, generate free electrons, and form an electric current output by the directional movement of these electrons through the internal circuit structure. The power quality and power generation efficiency of the electrical energy output by the photovoltaic module are affected by factors such as illumination intensity and environmental temperature, and it is the initial source of electrical energy in the intelligent power system.

[0024] Among them, the DC cabinet can centrally collect the direct current output by multiple photovoltaic modules and reasonably distribute the electrical energy according to the requirements of subsequent circuits and equipment. At the same time, the DC cabinet can real-time monitor parameters such as voltage, current, and power in the DC circuit, and transmit this data to the controller or other monitoring devices through the built-in monitoring device, so that the staff can timely understand the operation status of the system.

[0025] Among them, the intelligent fuse not only has the overcurrent protection function of the traditional fuse, but also integrates an intelligent monitoring and protection module. The intelligent fuse can real-time monitor parameters such as current, voltage, and leakage in the circuit, and judge the operation status of the circuit through the built-in algorithm and logic. When abnormal states such as overload, short circuit, and leakage are detected, the intelligent fuse can automatically cut off the circuit in an extremely short time to protect the safety of equipment and personnel; at the same time, it can also receive remote control instructions from the controller to achieve the open circuit protection of the circuit.

[0026] Among them, the controller establishes connections with the photovoltaic module, DC cabinet, and intelligent fuse through communication lines. The controller can real-time collect the power generation data of the photovoltaic module, the operation parameters of the DC cabinet, and the status information of the intelligent fuse, and conduct comprehensive analysis and processing. Based on the preset control strategies and algorithms, the controller can optimize the working state of the photovoltaic module, such as maximum power point tracking, to improve the power generation efficiency; according to the operation conditions of the DC cabinet and system requirements, reasonably control the distribution of electrical energy. Among them, the protection threshold can be dynamically and accurately adjusted according to the environmental parameters of the photovoltaic module and the temperature data of the DC cabinet, and then the current state can be reasonably judged, and an open circuit instruction is sent to the intelligent fuse to achieve the intelligent control and management of the entire intelligent power system.

[0027] It can be seen that through the data collection, analysis and processing, optimization adjustment and control of each part of the intelligent power system by the controller, the intelligent management of the entire intelligent power system is realized, and the overall performance and operation efficiency of the system are improved.

[0028] For ease of understanding, please refer to Figure 2 , Figure 2It is an application scenario diagram of an intelligent fuse provided by an embodiment of the present application. Among them, the first photovoltaic module and the second photovoltaic module are electric energy generation units, which convert solar energy into direct current by using the photovoltaic effect of semiconductor materials. The intelligent fuse is located between the first photovoltaic module, the second photovoltaic module and the DC cabinet. It not only has the open-circuit protection function of a traditional fuse, but also can monitor parameters such as current, voltage, and leakage in the circuit in real time. When detecting abnormalities such as overload, short circuit, and leakage, it can quickly and automatically cut off the circuit to ensure the safety of equipment and personnel. At the same time, it can also receive remote control instructions to flexibly disconnect the circuit. It should be noted that it is also possible to adopt a method where each photovoltaic module corresponds to an intelligent fuse. When a certain photovoltaic module fails, it is convenient to accurately locate and troubleshoot the fault, which is not specifically limited here. The DC cabinet can centrally collect the direct current output by the first photovoltaic module and the second photovoltaic module, and reasonably allocate electric energy according to the requirements of subsequent circuits and equipment such as the first electrical device and the second electrical device. The first electrical device and the second electrical device are the consumption ends of electric energy, and use the direct current allocated from the DC cabinet to maintain their own operations. It should be noted that the first electrical device and the second electrical device include but are not limited to DC lighting fixtures, DC refrigeration equipment, communication base station equipment, and surveillance cameras, which are not specifically limited here.

[0029] It can be seen that the intelligent fuse can monitor parameters such as current, voltage, and leakage in real time. When encountering abnormalities such as overload, short circuit, and leakage, it can quickly and automatically cut off the circuit, effectively avoiding accidents such as equipment damage and fires caused by electrical faults, ensuring the safety of personnel and equipment, and can also receive remote control instructions to flexibly disconnect the circuit, thereby ensuring the safe operation of the DC cabinet.

[0030] The following will be combined with Figure 3 to describe the electronic device in the embodiment of the present application. Figure 3 It is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As Figure 3 shown, the electronic device includes one or more processors, a memory, a communication interface, and one or more programs. The processor is communicatively connected to the memory and the communication interface through an internal communication bus.

[0031] Among them, the processor is mainly used for: Obtain the first current data and the first set of environmental parameters of the photovoltaic module within a preset first time period; Determine the first protection threshold according to the first current data; Obtain the second current data and the second set of environmental parameters of the photovoltaic module within a preset second time period; the end time of the preset first time period is earlier than the start time of the preset second time period; Adjust the first protection threshold according to the first set of environmental parameters and the second set of environmental parameters to obtain the second protection threshold; Obtain the reference temperature data of the DC cabinet within a preset second time period; Adjust the second protection threshold according to the reference temperature data to obtain the third protection threshold; Determine the current status according to the second current data and the third protection threshold; Control the intelligent fuse to perform open circuit processing according to the current status to ensure the safe operation of the DC cabinet.

[0032] Wherein, the one or more programs are stored in the above-mentioned memory and are configured to be executed by the above-mentioned processor, and the one or more programs include instructions for executing any step in the above-mentioned method embodiments.

[0033] Wherein, the processor can be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can implement or execute various exemplary logic blocks, units and circuits described in connection with the disclosure of the present application. The processor can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc. The communication unit can be a communication interface, a transceiver, a transceiver circuit, etc., and the storage unit can be a memory.

[0034] The memory can be volatile memory or non-volatile memory, or can include both volatile and non-volatile memory. Among them, the non-volatile memory can be read-only memory (ROM), programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and directrambus RAM (DR RAM).

[0035] It can be understood that the electronic device may include more or fewer structural elements than those in the above structural block diagram. For example, it includes a power module, physical buttons, a Wi-Fi module, a speaker, a Bluetooth module, sensors, a display module, etc., which are not limited herein. It can be understood that the electronic device can carry the system architecture as Figure 1 described above.

[0036] After understanding the software and hardware architecture of the present application, the following combines Figure 4 to describe a control method for an intelligent fuse for DC cabinet protection in an embodiment of the present application, Figure 4 is a schematic flowchart of a control method for an intelligent fuse for DC cabinet protection provided by an embodiment of the present application, which is applied to a controller of an intelligent power system; the intelligent power system includes the controller, a photovoltaic module, a DC cabinet, and an intelligent fuse; the controller is connected to the photovoltaic module, the DC cabinet, and the intelligent fuse through communication lines; the photovoltaic module, the DC cabinet, and the intelligent fuse are connected in series, and specifically includes the following steps: Step S401, obtain first current data and a first set of environmental parameters of the photovoltaic module within a preset first time period.

[0037] Specifically, according to the time range corresponding to the preset first time period, search for the current data records and environmental parameter records of the corresponding photovoltaic modules in the database corresponding to the controller, extract the current data in the current data record as the first current data, and integrate environmental parameter information such as temperature and light intensity in the environmental parameter record into the first environmental parameter set.

[0038] Step S402, determine a first protection threshold according to the first current data.

[0039] For easy understanding, please refer to Figure 5 , Figure 5 which is a schematic flowchart of a process for determining a first protection threshold provided by an embodiment of the present application. Among them, the first current data includes multiple first current values. The specific steps for determining the first protection threshold according to the first current data include: A1. Obtain the average value of the multiple first current values to obtain a first current average value; A2. Calculate the standard deviation according to the first current average value and the multiple first current values to obtain a first standard deviation; A3. Obtain the first rated current of the photovoltaic module; A4. According to the mapping relationship between the preset rated current and the safety margin, determine the first safety margin corresponding to the first rated current; the first safety margin is used to ensure that the current value is within a safe range; A5. Calculate the difference between the preset standard deviation threshold and the first standard deviation to obtain a first difference; A6. Adjust the first safety margin according to the first difference to obtain a second safety margin; A7. Determine the first protection threshold according to the second safety margin and the first current average value.

[0040] In a specific embodiment, first, calculate the average value of the multiple first current values corresponding to the first current data to obtain a first current average value. Then, calculate the standard deviation according to the first current average value and the multiple first current values to obtain a first standard deviation. This first standard deviation can reflect the fluctuation of the current value relative to the first current average value during the first time period.

[0041] Next, obtain the first rated current corresponding to the photovoltaic module. This first rated current is the specified current value that the photovoltaic module can output under standard test conditions (such as specific light intensity, temperature, etc.), and is used to measure its current output ability during normal operation. Then, according to the preset mapping relationship between the rated current and the safety margin, determine the first safety margin corresponding to the first rated current. The first safety margin is a margin set to ensure that the current value of the photovoltaic module is within a safe range during operation. For example, if the first rated current is 10A and the first safety margin is 10% of the first rated current, then the first safety margin is 1A.

[0042] Then, calculate the difference between the preset standard deviation threshold and the first standard deviation to obtain the first difference. This standard deviation threshold is a preset standard value used to measure the acceptable range of current fluctuations. By calculating the difference between the standard deviation threshold and the first standard deviation, the degree of deviation of the current fluctuation situation from the standard can be judged. Then, adjust the first safety margin according to the first difference to obtain the second safety margin. If the first difference is positive, it means that the current fluctuation is less than the preset standard, and the first safety margin can be appropriately reduced to allow the photovoltaic module to operate closer to its rated current, thereby improving the power generation efficiency, making full use of the power generation capacity of the photovoltaic module, and reducing the power generation loss caused by overly conservative setting of the safety margin; if the first difference is negative, it means that the current fluctuation is greater than the preset standard, and the first safety margin needs to be appropriately increased to provide more buffer space and reduce the risk of system instability caused by current fluctuations. Finally, add the second safety margin to the first average current to obtain the first protection threshold.

[0043] It can be seen that flexibly adjusting the safety margin according to the actual current fluctuation situation enables the system to better adapt to various operating conditions, facilitates more accurate setting of the protection threshold, avoids misoperation or failure of the protection mechanism, and improves the accuracy and effectiveness of system protection.

[0044] Step S403, obtain the second current data and the second set of environmental parameters of the photovoltaic module within a preset second time period.

[0045] Among them, the end time of the preset first time period is earlier than the start time of the preset second time period. A current sensor can be installed on the photovoltaic module to measure the current data, and various environmental sensors, such as temperature sensors and light sensors, can be arranged to collect environmental parameters in real time. Then, within the preset second time period, collect the current data and environmental parameters at a certain time interval, for example, record once per second, per minute, or per hour, which is not specifically limited here. Then, integrate the collected current data and environmental parameters into the second current data and the second set of environmental parameters respectively.

[0046] Step S404: Adjust the first protection threshold according to the first environmental parameter set and the second environmental parameter set to obtain a second protection threshold.

[0047] Wherein, the first environmental parameter set includes multiple first temperatures and multiple first light intensities, and the second environmental parameter set includes multiple second temperatures and multiple second light intensities. The steps of adjusting the first protection threshold according to the first environmental parameter set and the second environmental parameter set to obtain a second protection threshold specifically include: B1. Analyze the multiple first current values, the multiple first temperatures, and the multiple first light intensities according to a preset multiple linear regression method to obtain a temperature influence factor and a light intensity influence factor; B2. Calculate the average values of the multiple first temperatures, the multiple first light intensities, the multiple second temperatures, and the multiple second light intensities respectively to obtain a first temperature average value, a first light intensity average value, a second temperature average value, and a second light intensity average value; B3. Calculate the difference between the first temperature average value and the second temperature average value to obtain a first temperature difference; B4. Calculate the difference between the first light intensity average value and the second light intensity average value to obtain a first light intensity difference; B5. Determine a first adjustment amount according to the temperature influence factor, the light intensity influence factor, the first temperature difference, the first light intensity difference, and the preset multiple linear regression method; B6. Adjust the first protection threshold according to the first adjustment amount to obtain the second protection threshold.

[0048] In a specific embodiment, first, analyze multiple first current values, multiple first temperatures, and multiple first light intensities according to a preset multiple linear regression method, and establish a first model according to the linear relationship between the first current value, the first temperature, and the first light intensity. The first model is as follows:

[0049] Wherein, I represents the first current value; T represents the first temperature; L represents the first light intensity; a1 represents the temperature influence factor; a2 represents the light intensity influence factor; b represents the intercept term, that is, the theoretical value of the first current value when both the temperature and the light intensity are 0; represents the error term, that is, the random error. Multiple sets of data of I, T, and L, that is, multiple first current values, multiple first temperatures, and multiple first light intensities, can be used, and then the least squares method is used to minimize the sum of squared errors, and a1 and a2, that is, the temperature influence factor and the light intensity influence factor, are solved.

[0050] Next, calculate the average values of multiple first temperatures, multiple first light intensities, multiple second temperatures, and multiple second light intensities respectively to obtain the average first temperature, the average first light intensity, the average second temperature, and the average second light intensity. Among them, by calculating the average value, the random fluctuations in the data can be eliminated, so as to obtain the typical representative values of the temperature and light intensity within the preset first time period and the preset second time period, which is convenient for comparing the differences in environmental parameters between the two time periods. Then, calculate the difference between the average first temperature and the average second temperature to obtain the first temperature difference. Then calculate the difference between the average first light intensity and the average second light intensity to obtain the first light intensity difference.

[0051] Then, determine the first adjustment amount according to the temperature influence factor, the light intensity influence factor, the first temperature difference, the first light intensity difference, and the preset multiple linear regression method. Among them, according to the preset multiple linear regression method, it can be determined that the changes in temperature and light intensity will cause changes in current. Therefore, the temperature influence factor can be multiplied by the first temperature difference to obtain the first product, the light intensity influence factor can be multiplied by the first light intensity difference to obtain the second product, and then the first product and the second product are added together to obtain the first adjustment amount. This first adjustment amount reflects the theoretical change amount of the current caused by the changes in temperature and light intensity within the two time periods, and is used to adjust the first protection threshold to adapt to the new environmental conditions. Finally, adjust the first protection threshold according to the first adjustment amount to obtain the second protection threshold. For example, when the first adjustment amount is 1A and the first protection threshold is 10A, add the first adjustment amount and the first protection threshold to obtain the second protection threshold, and the second protection threshold is 11A.

[0052] It can be seen that adjusting the protection threshold according to the environmental changes makes the protection threshold more in line with the actual operating conditions, ensuring effective protection of the photovoltaic modules and the DC cabinet under different environmental conditions.

[0053] Step S405: Obtain the reference temperature data of the DC cabinet within the preset second time period.

[0054] Specifically, the temperature change of the DC cabinet can be monitored in real time through the temperature sensor corresponding to the DC cabinet. Within the preset second time period, the temperature data is collected by the temperature sensor at a set sampling frequency (for example, once per second), and the temperature data is preprocessed, such as filtering, calibration, etc., to obtain the reference temperature data.

[0055] Step S406: Adjust the second protection threshold according to the reference temperature data to obtain the third protection threshold.

[0056] Among them, the reference temperature data includes multiple reference temperatures, and adjusting the second protection threshold according to the reference temperature data to obtain a third protection threshold, the specific steps include: C1. Obtain the average value of the multiple reference temperatures to obtain an average reference temperature; C2. Obtain the temperatures corresponding to the start time and end time of the preset second time period of the multiple reference temperatures to obtain a start reference temperature and an end reference temperature; C3. Determine the basic temperature coefficient corresponding to the average reference temperature; C4. Obtain the difference between the start reference temperature and the end reference temperature to obtain a second temperature difference; C5. Determine the reference temperature change rate according to the second temperature difference and the duration of the preset second time period; C6. Adjust the basic temperature coefficient according to the reference temperature change rate to obtain a target temperature coefficient; C7. Determine a second adjustment amount according to the second temperature difference and the target temperature coefficient; C8. Adjust the second protection threshold according to the second adjustment amount to obtain the third protection threshold.

[0057] In a specific embodiment, first, calculate the average value corresponding to multiple reference temperatures to obtain an average reference temperature, and this average reference temperature is used to represent the overall temperature level of the DC cabinet within the preset second time period. Then, obtain the temperatures corresponding to the start time and end time of the preset second time period of the multiple reference temperatures to obtain a start reference temperature and an end reference temperature. Among them, the start reference temperature and the end reference temperature can reflect the start state and end state of the temperature of the DC cabinet within the preset second time period. By comparing these two temperature values, the temperature change trend can be understood.

[0058] Next, determine the basic temperature coefficient corresponding to the average reference temperature. Among them, different average reference temperatures correspond to different basic temperature coefficients, which can be obtained through experiments, experience, or historical data statistics. Then, calculate the difference between the start reference temperature and the end reference temperature to obtain a second temperature difference, and this second temperature difference can be positive or negative. Then, determine the reference temperature change rate according to the second temperature difference and the duration of the preset second time period. Among them, the absolute value of the second temperature difference can be divided by the duration of the preset second time period to obtain the reference temperature change rate, and this reference temperature change rate reflects the speed of the temperature change of the DC cabinet within the preset second time period. Different temperature change rates have different effects on the protection threshold, so it is necessary to calculate this change rate to more accurately adjust the protection threshold.

[0059] Finally, adjust the base temperature coefficient according to the reference temperature change rate to obtain the target temperature coefficient. For example, when the reference temperature change rate is large, the base temperature coefficient can be appropriately increased; when the reference temperature change rate is small, the base temperature coefficient remains unchanged or is slightly adjusted. Then, determine the second adjustment amount according to the second temperature difference and the target temperature coefficient, and adjust the second protection threshold according to the second adjustment amount to obtain the third protection threshold. Among them, the second temperature difference can be multiplied by the target temperature coefficient first to obtain the second adjustment amount, and then the second adjustment amount and the second protection threshold are added together to obtain the third protection threshold. The unit of the target temperature coefficient is A / ℃, which is used to represent the influence degree of the temperature change amount on the third protection threshold. It should be noted that when the second temperature difference is positive, the second adjustment amount is also positive; when the second temperature difference is negative, the second adjustment amount is also negative. For example, when the second temperature difference is 10℃ and the target temperature coefficient is 0.1A / ℃, the second adjustment amount is 1A; when the second temperature difference is -10℃ and the target temperature coefficient is 0.1A / ℃, the second adjustment amount is -1A. Therefore, when the second protection threshold is 11A, if the second adjustment amount is 1A, the third protection threshold is 12A, and if the second adjustment amount is -1A, the third protection threshold is 10A.

[0060] It can be seen that by comprehensively considering the influence of the DC cabinet temperature change, adjusting the second protection threshold to obtain the third protection threshold enables the protection threshold to more accurately reflect the actual operating conditions and ensure the safe operation of the DC cabinet.

[0061] Step S407: Determine the current state according to the second current data and the third protection threshold.

[0062] Among them, the second current data includes m second current values, where m is an integer greater than 1. The specific steps for determining the current state according to the second current data and the third protection threshold include: D1. Obtain the preset fourth protection threshold and the number of reference current values; the fourth protection threshold is greater than the third protection threshold; D2. If all the m second current values are less than or equal to the third protection threshold, determine that the current state is a normal state; D3. If there are n second current values among the m second current values that are greater than the third protection threshold, determine the current state according to the n second current values, the fourth protection threshold, and the number of reference current values; n is a positive integer less than or equal to m.

[0063] In a specific embodiment, first, device parameters of a photovoltaic module can be obtained. The device parameters include, but are not limited to, the peak value of the first surge current and the duration of the first surge current. No specific limitation is made here. The peak value of the first surge current represents the maximum current value that the photovoltaic module can reach at the moment of startup, and the duration of the first surge current represents the time length during which the surge current remains greater than the third protection threshold. Then, according to the mapping relationship between the preset peak value of the surge current and the safety margin, the third safety margin corresponding to the peak value of the first surge current is determined. Among them, the larger the peak value of the first surge current, the larger the third safety margin, so as to ensure that the intelligent power system will not be misprotected due to occasionally occurring currents close to the peak value during normal operation, and at the same time, it can also ensure that the device has sufficient safety buffer when withstanding the peak current. It should be noted that the third safety margin can also be a specific proportion of the peak value of the first surge current. For example, when the peak value of the first surge current is 20A and the third safety margin is 10% of the peak value of the first surge current, the third safety margin is 2A. No specific limitation is made here. Then, a fourth protection threshold is determined according to the peak value of the first surge current and the third safety margin. The fourth protection threshold is greater than the third protection threshold. Among them, the peak value of the first surge current and the third safety margin can be added to obtain the fourth protection threshold. The acquisition frequency corresponding to the second current data can be obtained, and the number of reference current values is determined according to the acquisition frequency and the duration of the first surge current, that is, the acquisition frequency is multiplied by the duration of the first surge current to obtain the number of reference current values. For example, the acquisition frequency is 10 times per second and the duration of the first surge current is 5 seconds, then the number of reference current values is 50. Among them, one reference current value is obtained each time of acquisition.

[0064] Next, if all m second current values are less than or equal to the third protection threshold, it indicates that the current of the photovoltaic module or the DC cabinet is within the safe and controllable range and there is no abnormal current increase, then the current state is determined to be the normal state. If there are n second current values greater than the third protection threshold among the m second current values, it indicates that there is an abnormal current increase, then the current state is determined according to the n second current values, the fourth protection threshold, and the number of reference current values, where n is a positive integer less than or equal to m.

[0065] It can be seen that by setting different protection thresholds and judging the current state according to the comparison result between the collected current value and the protection threshold, it is possible to accurately identify whether the current in the system is within the normal operation range and timely discover abnormal situations.

[0066] Among them, the specific steps of determining the current state according to the n second current values, the fourth protection threshold, and the number of reference current values include: E1. Judge the magnitude relationship between the n second current values and the fourth protection threshold; E2. If each of the n second current values is less than or equal to the fourth protection threshold, then determine the magnitude relationship between n and the number of reference current values; E3. If n is less than or equal to the number of reference current values, then determine that the current state is the normal state; E4. If n is greater than the number of reference current values, then determine that the current state is the abnormal state; E5. If there is at least one second current value among the n second current values that is greater than the fourth protection threshold, then determine that the current state is the abnormal state.

[0067] In a specific embodiment, first, determine the magnitude relationship between the n second current values and the fourth protection threshold. If each of the n second current values is less than or equal to the fourth protection threshold, it indicates that the n second current values may be the inrush current values of the photovoltaic module at the moment of startup, and it is necessary to continue to determine the magnitude relationship between n and the number of reference current values.

[0068] Next, if n is less than or equal to the number of reference current values, it means that the duration of the inrush current is within the safe range, and then determine that the current state is the normal state. If n is greater than the number of reference current values, it means that the duration of the inrush current exceeds the safe range, and then determine that the current state is the abnormal state. If there is at least one second current value among the n second current values that is greater than the fourth protection threshold, it means that the inrush current value is greater than the safe threshold, and then directly determine that the current state is the abnormal state.

[0069] It can be seen that through the accurate judgment of the current state, the current conditions that may damage the equipment can be discovered in time, and the system misoperation or equipment damage caused by a large instantaneous current can be avoided, thereby protecting the photovoltaic module and the DC cabinet and ensuring the stable operation of the intelligent power system.

[0070] For easy understanding, please refer to Figure 6 , Figure 6It is a schematic flowchart for judging the current state provided by an embodiment of the present application. Among them, starting from the "start" node, it first enters the judgment condition "judging the magnitude relationship between n second current values and the fourth protection threshold". If each of the n second current values is less than or equal to the fourth protection threshold, it enters the next judgment condition "judging the magnitude relationship between n and the number of reference current values". If n is less than or equal to the number of reference current values, it indicates that the number of second current values exceeding the third protection threshold is relatively small, that is, the duration of abnormal current is short, which conforms to the normal fluctuation range. Therefore, the current state is determined to be the normal state and reaches the "end" node. If n is greater than the number of reference current values, it indicates that the number of second current values exceeding the third protection threshold is large, that is, the duration of abnormal current is long, exceeding the normal fluctuation range. The current state is determined to be the abnormal state and reaches the "end" node. If there is at least one second current value among the n second current values that is greater than the fourth protection threshold, the current state is directly determined to be the abnormal state and reaches the "end" node, which indicates that the entire process has ended.

[0071] Step S408, control the intelligent fuse to perform open circuit processing according to the current state to ensure the safe operation of the DC cabinet.

[0072] For easy understanding, please refer to Figure 7 , Figure 7 It is a schematic flowchart for open circuit processing provided by an embodiment of the present application. Among them, the specific steps of controlling the intelligent fuse to perform open circuit processing according to the current state include: F1. When the current state is the normal state, keep the state of the intelligent fuse in the conducting state; F2. When the current state is the abnormal state, obtain the average value of the n second current values to obtain the second average current value; F3. Determine the response duration of the intelligent fuse according to the second average current value; F4. Switch the state of the intelligent fuse from the conducting state to the open circuit state according to the response duration.

[0073] In a specific embodiment, first, when the current state is the normal state, keep the intelligent fuse in the conducting state to ensure that the photovoltaic module can generate and transmit electricity normally, and the DC cabinet can operate normally, so as to maintain the normal operation of the intelligent power system.

[0074] Next, when the current state is the abnormal state, first calculate the average value of the n second current values to obtain the second average current value. Then, determine the response duration of the intelligent fuse according to the second average current value. Among them, the larger the second average current value, the shorter the response duration. Finally, switch the state of the intelligent fuse from the conducting state to the open circuit state according to the response duration.

[0075] It can be seen that abnormal currents of different magnitudes may cause different degrees of harm to the equipment. By calculating the average value of the second current to determine the response duration of the intelligent fuse, the action time of the intelligent fuse can be flexibly adjusted according to the actual current situation. For relatively small abnormal currents, the response duration can be appropriately extended to avoid misoperation due to short-term current fluctuations; for relatively large abnormal currents, the response duration can be shortened to quickly cut off the circuit and protect the DC cabinet in a timely manner.

[0076] The above mainly introduces the solution of the embodiment of the present application from the perspective of the execution process of the method side. It can be understood that in order for the electronic device to implement the above functions, it includes the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments provided in this article, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the way of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0077] The embodiment of the present application can divide the functional units of the electronic device according to the above method examples. For example, each functional unit can be divided corresponding to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. It should be noted that the division of units in the embodiment of the present application is illustrative, only a logical function division, and there may be other division methods in actual implementation.

[0078] In the case of dividing each functional module corresponding to each function, Figure 8 is a block diagram of the functional module composition of a control device for an intelligent fuse for protecting a DC cabinet provided by an embodiment of the present application, which is applied to a controller of an intelligent power system; the intelligent power system includes the controller, a photovoltaic module, a DC cabinet, and an intelligent fuse; the controller is connected to the photovoltaic module, the DC cabinet, and the intelligent fuse through communication lines; the photovoltaic module, the DC cabinet, and the intelligent fuse are connected in series; the control device 800 for the intelligent fuse for protecting the DC cabinet includes an acquisition module 810, a determination module 820, an adjustment module 830, and a control module 840, where: The acquisition module 810 is configured to acquire first current data and a first set of environmental parameters of the photovoltaic module within a preset first time period; The determining module 820 is configured to determine a first protection threshold according to the first current data; The obtaining module 810 is further configured to obtain second current data and a second set of environmental parameters of the photovoltaic module within a preset second time period; a termination time of the preset first time period is earlier than a start time of the preset second time period; The adjusting module 830 is configured to adjust the first protection threshold according to the first set of environmental parameters and the second set of environmental parameters to obtain a second protection threshold; The obtaining module 810 is further configured to obtain reference temperature data of the DC cabinet within the preset second time period; The adjusting module 830 is further configured to adjust the second protection threshold according to the reference temperature data to obtain a third protection threshold; The determining module 820 is further configured to determine a current state according to the second current data and the third protection threshold; The control module 840 is configured to control the intelligent fuse to perform an open circuit process according to the current state to ensure the safe operation of the DC cabinet.

[0079] Optionally, the first current data includes a plurality of first current values. In terms of determining the first protection threshold according to the first current data, the determining module 820 is specifically configured to: Obtain an average value of the plurality of first current values to obtain a first current average value; Calculate a standard deviation according to the first current average value and the plurality of first current values to obtain a first standard deviation; Obtain a first rated current of the photovoltaic module; According to a mapping relationship between a preset rated current and a safety margin, determine a first safety margin corresponding to the first rated current; the first safety margin is used to ensure that the current value is within a safe range; Calculate a difference between a preset standard deviation threshold and the first standard deviation to obtain a first difference; Adjust the first safety margin according to the first difference to obtain a second safety margin; Determine the first protection threshold according to the second safety margin and the first current average value.

[0080] Optionally, the first set of environmental parameters includes a plurality of first temperatures and a plurality of first light intensities, and the second set of environmental parameters includes a plurality of second temperatures and a plurality of second light intensities. In terms of adjusting the first protection threshold according to the first set of environmental parameters and the second set of environmental parameters to obtain a second protection threshold, the adjusting module 830 is specifically configured to: Analyze the multiple first current values, the multiple first temperatures, and the multiple first light intensities according to a preset multiple linear regression method to obtain a temperature influence factor and a light intensity influence factor; Calculate the average values of the multiple first temperatures, the multiple first light intensities, the multiple second temperatures, and the multiple second light intensities respectively to obtain a first temperature average value, a first light intensity average value, a second temperature average value, and a second light intensity average value; Calculate the difference between the first temperature average value and the second temperature average value to obtain a first temperature difference; Calculate the difference between the first light intensity average value and the second light intensity average value to obtain a first light intensity difference; Determine a first adjustment amount according to the temperature influence factor, the light intensity influence factor, the first temperature difference, the first light intensity difference, and the preset multiple linear regression method; Adjust the first protection threshold according to the first adjustment amount to obtain the second protection threshold.

[0081] Optionally, the reference temperature data includes multiple reference temperatures. In terms of adjusting the second protection threshold according to the reference temperature data to obtain a third protection threshold, the adjustment module 830 is further specifically configured to: Obtain the average value of the multiple reference temperatures to obtain a reference temperature average value; Obtain the temperatures corresponding to the start time and the end time of the preset second time period of the multiple reference temperatures to obtain a start reference temperature and an end reference temperature; Determine the base temperature coefficient corresponding to the reference temperature average value; Obtain the difference between the start reference temperature and the end reference temperature to obtain a second temperature difference; Determine a reference temperature change rate according to the second temperature difference and the duration of the preset second time period; Adjust the base temperature coefficient according to the reference temperature change rate to obtain a target temperature coefficient; Determine a second adjustment amount according to the second temperature difference and the target temperature coefficient; Adjust the second protection threshold according to the second adjustment amount to obtain the third protection threshold.

[0082] Optionally, the second current data includes m second current values, where m is an integer greater than 1. In terms of determining the current state according to the second current data and the third protection threshold, the determining module 820 is further specifically configured to: Obtain a preset fourth protection threshold and the number of reference current values; the fourth protection threshold is greater than the third protection threshold; If all of the m second current values are less than or equal to the third protection threshold, determine that the current state is a normal state; If there are n second current values among the m second current values that are greater than the third protection threshold, determine the current state according to the n second current values, the fourth protection threshold, and the number of reference current values; n is a positive integer less than or equal to m.

[0083] Optionally, in terms of determining the current state according to the n second current values, the fourth protection threshold, and the number of reference current values, the determining module 820 is further specifically configured to: Judge the magnitude relationship between the n second current values and the fourth protection threshold; If each second current value among the n second current values is less than or equal to the fourth protection threshold, judge the magnitude relationship between n and the number of reference current values; If n is less than or equal to the number of reference current values, determine that the current state is the normal state; If n is greater than the number of reference current values, determine that the current state is an abnormal state; If there is at least one second current value among the n second current values that is greater than the fourth protection threshold, determine that the current state is the abnormal state.

[0084] Optionally, in terms of controlling the intelligent fuse to perform an open circuit process according to the current state, the control module 840 is specifically configured to: When the current state is the normal state, keep the state of the intelligent fuse as the conducting state; When the current state is the abnormal state, obtain the average value of the n second current values to obtain a second current average value; Determine the response duration of the intelligent fuse according to the second current average value; Switch the state of the intelligent fuse from the conducting state to the open circuit state according to the response duration.

[0085] It can be seen that by dynamically adjusting the protection threshold according to the actual situation, combining the current data to judge the current state, and timely controlling the intelligent fuse to perform an open circuit process, the safety of the DC cabinet is improved.

[0086] It should be noted that the specific implementation of each operation can adopt the corresponding description of the method embodiment shown above. The control device 800 of the intelligent fuse for DC cabinet protection can be used to execute the method embodiment of the present application above, and details are not described herein again.

[0087] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, and the computer program causes the computer to execute some or all of the steps of any one of the methods described in the above method embodiments. The above computer includes an electronic device.

[0088] An embodiment of the present application further provides a computer program product. The above computer program product includes a non-transitory computer-readable storage medium storing a computer program. The above computer program is operable to cause the computer to execute some or all of the steps of any one of the methods described in the above method embodiments. The computer program product may be a software installation package, and the above computer includes an electronic device.

[0089] It should be noted that for the above-mentioned various embodiments, for the sake of simple description, they are all expressed as a series of action combinations. Those skilled in the art should know that the present application is not limited by the described action sequence, because some steps in the embodiments of the present application can be performed in other sequences or simultaneously. In addition, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions, steps, modules or units involved are not necessarily essential to the embodiments of the present application.

[0090] In the above embodiments, the descriptions of the various embodiments of the present application each have their own emphases. For the parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0091] Those of ordinary skill in the art can understand the implementation of all or part of the processes in the above method embodiments. The processes can be completed by relevant hardware instructed by a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above method embodiments. The foregoing storage medium includes: various media such as ROM or random access memory RAM, magnetic disk, or optical disc that can store program codes.

[0092] The steps of the methods or algorithms described in the embodiments of this application can be implemented in a hardware manner or by a processor executing software instructions. The software instructions can be composed of corresponding software modules, and the software modules can be stored in RAM, flash memory, ROM, EPROM, electrically erasable programmable read-only memory (EEPROM), registers, hard disks, removable hard disks, compact disc read-only memory (CD-ROM), or any other form of storage medium well-known in the art. An exemplary storage medium is coupled to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an ASIC. Additionally, the ASIC can be located in a terminal device or a management device. Of course, the processor and the storage medium can also exist as discrete components in a terminal device or a management device.

[0093] Those skilled in the art should be able to realize that in one or more of the above examples, the functions described in the embodiments of this application can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of this application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from a website, computer, server, or data center to another website, computer, server, or data center in a wired manner (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or a wireless manner (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that the computer can access or a data storage device such as a server or data center that includes one or more integrated available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a digital video disc (DVD)), or a semiconductor medium (such as a solid state disk (SSD)), etc.

[0094] Each device and product described in the above embodiments, and each module / unit included therein, may be a software module / unit, a hardware module / unit, or may be partly a software module / unit and partly a hardware module / unit. For example, for each device and product applied to or integrated into a chip, each module / unit included therein may be implemented in a hardware manner such as a circuit, or at least some of the modules / units may be implemented in the form of a software program that runs on a processor integrated inside the chip, and the remaining (if any) part of the modules / units may be implemented in a hardware manner such as a circuit; for each device and product applied to or integrated into a chip module, each module / unit included therein may be implemented in a hardware manner such as a circuit, and different modules / units may be located in the same component (such as a chip, a circuit module, etc.) or different components of the chip module, or at least some of the modules / units may be implemented in the form of a software program that runs on a processor integrated inside the chip module, and the remaining (if any) part of the modules / units may be implemented in a hardware manner such as a circuit; for each device and product applied to or integrated into a terminal device, each module / unit included therein may be implemented in a hardware manner such as a circuit, and different modules / units may be located in the same component (such as a chip, a circuit module, etc.) or different components inside the terminal device, or at least some of the modules / units may be implemented in the form of a software program that runs on a processor integrated inside the terminal device, and the remaining (if any) part of the modules / units may be implemented in a hardware manner such as a circuit.

[0095] The specific embodiments described above further elaborate on the objectives, technical solutions, and beneficial effects of the embodiments of the present application. It should be understood that the above description is only the specific embodiments of the embodiments of the present application and is not used to limit the protection scope of the embodiments of the present application. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of the embodiments of the present application shall be included in the protection scope of the embodiments of the present application.

Claims

1. A control method for an intelligent fuse used for DC cabinet protection, characterized in that, Controller applied to an intelligent power system; the intelligent power system includes the controller, a photovoltaic module, a DC cabinet, and an intelligent fuse; the controller is connected to the photovoltaic module, the DC cabinet, and the intelligent fuse through communication lines; the photovoltaic module, the DC cabinet, and the intelligent fuse are connected in series; the method includes: Obtain first current data and a first set of environmental parameters of the photovoltaic module within a preset first time period; Determine a first protection threshold based on the first current data; Obtain second current data and a second set of environmental parameters of the photovoltaic module within a preset second time period; the end time of the preset first time period is earlier than the start time of the preset second time period; Adjust the first protection threshold according to the first set of environmental parameters and the second set of environmental parameters to obtain a second protection threshold; Obtain reference temperature data of the DC cabinet within the preset second time period; Adjust the second protection threshold according to the reference temperature data to obtain a third protection threshold; Determine a current state based on the second current data and the third protection threshold; Control the intelligent fuse to perform a breaking process according to the current state to ensure the safe operation of the DC cabinet.

2. The method according to claim 1, wherein The first current data includes a plurality of first current values, and determining the first protection threshold based on the first current data includes: Obtain the average value of the plurality of first current values to obtain a first current average value; Calculate the standard deviation based on the first current average value and the plurality of first current values to obtain a first standard deviation; Obtain the first rated current of the photovoltaic module; Determine a first safety margin corresponding to the first rated current according to a preset mapping relationship between the rated current and the safety margin; the first safety margin is used to ensure that the current value is within a safe range; Calculate the difference between a preset standard deviation threshold and the first standard deviation to obtain a first difference; Adjust the first safety margin according to the first difference to obtain a second safety margin; Determine the first protection threshold based on the second safety margin and the first current average value.

3. The method according to claim 1, characterized in that, The first set of environmental parameters includes a plurality of first temperatures and a plurality of first light intensities, and the second set of environmental parameters includes a plurality of second temperatures and a plurality of second light intensities. Adjusting the first protection threshold according to the first set of environmental parameters and the second set of environmental parameters to obtain a second protection threshold includes: Analyze the plurality of first current values, the plurality of first temperatures, and the plurality of first light intensities according to a preset multiple linear regression method to obtain a temperature influence factor and a light intensity influence factor; Calculate the average values of the plurality of first temperatures, the plurality of first light intensities, the plurality of second temperatures, and the plurality of second light intensities respectively to obtain a first temperature average value, a first light intensity average value, a second temperature average value, and a second light intensity average value; Calculate the difference between the first temperature average value and the second temperature average value to obtain a first temperature difference; Calculate the difference between the first light intensity average value and the second light intensity average value to obtain a first light intensity difference; Determine a first adjustment amount according to the temperature influence factor, the light intensity influence factor, the first temperature difference, the first light intensity difference, and the preset multiple linear regression method; Adjust the first protection threshold according to the first adjustment amount to obtain the second protection threshold.

4. The method according to claim 3, characterized in that, The reference temperature data includes multiple reference temperatures. Adjusting the second protection threshold according to the reference temperature data to obtain a third protection threshold includes: Obtain the average value of the multiple reference temperatures to obtain an average reference temperature; Obtain the temperatures corresponding to the start time and the end time of the preset second time period of the multiple reference temperatures to obtain a start reference temperature and an end reference temperature; Determine the basic temperature coefficient corresponding to the average reference temperature; Obtain the difference between the start reference temperature and the end reference temperature to obtain a second temperature difference; Determine a reference temperature change rate according to the second temperature difference and the duration of the preset second time period; Adjust the basic temperature coefficient according to the reference temperature change rate to obtain a target temperature coefficient; Determine a second adjustment amount according to the second temperature difference and the target temperature coefficient; Adjust the second protection threshold according to the second adjustment amount to obtain the third protection threshold.

5. The method according to claim 1, wherein The second current data includes m second current values, where m is an integer greater than 1. Determining the current state according to the second current data and the third protection threshold includes: Obtain a preset fourth protection threshold and the number of reference current values; the fourth protection threshold is greater than the third protection threshold; If the m second current values are all less than or equal to the third protection threshold, determine that the current state is a normal state; If there are n second current values among the m second current values that are greater than the third protection threshold, determine the current state according to the n second current values, the fourth protection threshold, and the number of reference current values; n is a positive integer less than or equal to m.

6. The method according to claim 5, wherein Determining the current state according to the n second current values, the fourth protection threshold, and the number of reference current values includes: Judge the magnitude relationship between the n second current values and the fourth protection threshold; If each of the n second current values is less than or equal to the fourth protection threshold, judge the magnitude relationship between n and the number of reference current values; If n is less than or equal to the number of reference current values, determine that the current state is the normal state; If n is greater than the number of reference current values, determine that the current state is an abnormal state; If there is at least one second current value among the n second current values that is greater than the fourth protection threshold, determine that the current state is the abnormal state.

7. The method according to claim 5 or 6, characterized in that, Controlling the intelligent fuse to perform an open circuit process according to the current state includes: When the current state is the normal state, keep the state of the intelligent fuse in the conducting state; When the current state is the abnormal state, obtain the average value of the n second current values to obtain a second average current; Determine the response duration of the intelligent fuse according to the second average current value; Switch the state of the intelligent fuse from the conducting state to the open state according to the response duration.

8. A control device for an intelligent fuse used for DC cabinet protection, characterized in that, A controller applied to an intelligent power system; the intelligent power system includes the controller, a photovoltaic module, a DC cabinet, and an intelligent fuse; the controller is connected to the photovoltaic module, the DC cabinet, and the intelligent fuse through communication lines; the photovoltaic module, the DC cabinet, and the intelligent fuse are connected in series; the device includes an acquisition module, a determination module, an adjustment module, and a control module, where: The acquisition module is configured to acquire first current data and a first set of environmental parameters of the photovoltaic module within a preset first time period; The determination module is configured to determine a first protection threshold according to the first current data; The acquisition module is further configured to acquire second current data and a second set of environmental parameters of the photovoltaic module within a preset second time period; the end time of the preset first time period is earlier than the start time of the preset second time period; The adjustment module is configured to adjust the first protection threshold according to the first set of environmental parameters and the second set of environmental parameters to obtain a second protection threshold; The acquisition module is further configured to acquire reference temperature data of the DC cabinet within the preset second time period; The adjustment module is further configured to adjust the second protection threshold according to the reference temperature data to obtain a third protection threshold; The determination module is further configured to determine a current state according to the second current data and the third protection threshold; The control module is configured to control the intelligent fuse to perform an open circuit process according to the current state to ensure the safe operation of the DC cabinet.

9. An electronic device, characterized in that, Comprising: A processor, a memory, a communication interface, and one or more programs; The one or more programs are stored in the memory and are configured to be executed by the processor, and the programs include instructions for performing the steps in the method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, the computer program includes program instructions, and when the program instructions are executed by the processor, the processor is caused to execute the method according to any one of claims 1-7.

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