Small-amplitude overcurrent processing method and device based on intelligent fuse

Abstract

The invention provides a small-amplitude overcurrent processing method and device based on an intelligent fuse, and belongs to the technical field of power supply or power distribution circuit devices or systems in the high-end equipment industry field, a photovoltaic server monitors first current data and first temperature data of a combiner box, a direct current cabinet and a centralized inverter in real time through the intelligent fuse; according to the first current data, the rated current value, the fusing parameter, the first temperature data and the preset temperature rising speed, whether small-amplitude overcurrent abnormity exists or not is determined; after the small-amplitude overcurrent abnormality is detected, the abnormality occurrence position is determined, and the controller at the abnormality occurrence position is indicated to adjust the fusing current threshold value of the intelligent fuse, so that the problem that a traditional fuse cannot act due to insufficient heat accumulation is avoided, the protection capability for the small-amplitude overcurrent is greatly improved, and the safety of the intelligent fuse is improved. Therefore, the equipment damage rate and the fault occurrence rate caused by small-amplitude overcurrent in the photovoltaic system are reduced, and the overall stability of the photovoltaic system is improved.

Description

Technical Field

[0001] This application belongs to the technical field of circuit devices or systems for power supply or distribution in the high-end equipment industry, and particularly relates to a method and device for processing small overcurrents based on an intelligent fuse. Background Art

[0002] The photovoltaic system is exposed to the outdoor environment for a long time, and components and lines are prone to small overcurrent anomalies affected by natural factors. Traditional fuses rely on heat accumulation generated by current to achieve fusing. Facing the above small overcurrents, it takes a lot of time to complete heat aggregation before they can operate.

[0003] In a photovoltaic system, such small overcurrents may persist without triggering the disconnection of traditional fuses, leading to potential hazards such as accelerated aging of line insulation, local overheating and burning of components, and even the risk of fire. Summary of the Invention

[0004] This application provides a method and device for processing small overcurrents based on an intelligent fuse. By using the intelligent fuse to monitor the current data and temperature data in the photovoltaic system in real time, it can respond to small overcurrent anomalies in a timely manner, avoiding the problem that traditional fuses cannot operate due to insufficient heat accumulation, greatly improving the protection ability against small overcurrents, and thus reducing the equipment damage rate and failure incidence rate caused by small overcurrents in the photovoltaic system.

[0005] In a first aspect, this application provides a method for processing small overcurrents based on an intelligent fuse, which is applied to a photovoltaic server of a photovoltaic system. The photovoltaic system includes solar photovoltaic modules, a combiner box connected to the solar photovoltaic modules, a DC cabinet connected to the combiner box, and a centralized inverter connected to the DC cabinet. The combiner box, the DC cabinet, and the centralized inverter all include a controller and an intelligent fuse. The intelligent fuse is used to collect current data and its own temperature data; the photovoltaic server is communicatively connected to the combiner box, the DC cabinet, and the centralized inverter; the method includes: receiving first current data and first temperature data from the combiner box, the DC cabinet, and the centralized inverter; and obtaining a preset rated current value, the fusing parameters of the intelligent fuse, and a preset heating rate; determining whether there is a small overcurrent anomaly according to the first current data, the first temperature data, the rated current value, the fusing parameters, and the preset heating rate; detecting the existence of the small overcurrent anomaly; determining the location where the anomaly occurs, and generating a first control instruction; sending the first control instruction to the controller at the location where the anomaly occurs, and the first control instruction is used to instruct the controller at the location where the anomaly occurs to adjust the fusing parameters.

[0006] In some embodiments, the fusing parameters include a fusing current threshold and an abnormal current-carrying cumulative time. The detection of the small overcurrent anomaly includes: detecting that the duration for which the first current data exceeds the rated current value but does not exceed the fusing current threshold exceeds the abnormal current-carrying cumulative time; calculating the temperature rise rate based on the first temperature data; detecting that the temperature rise rate exceeds the preset temperature rise rate; and confirming the existence of the small overcurrent anomaly.

[0007] In some embodiments, the first current data and the first temperature data carry identification information. The determination of the anomaly occurrence location includes: obtaining the identification information of the first current data and the first temperature data detected to have a small overcurrent anomaly; and determining that the anomaly occurrence location is at least one of the busbar trunking, the DC cabinet, or the centralized inverter based on the identification information.

[0008] In some embodiments, the first control instruction is used to instruct the controller to reduce the fusing current threshold according to a preset fusing parameter adaptation table, and the fusing parameter adaptation table includes the abnormal current-carrying cumulative time corresponding to different current data, the default value of the fusing current threshold, and the adjusted value.

[0009] In some embodiments, the default value of the fusing current threshold is 1.1 - 1.45 times the rated current value; when the first current data is 1.1 - 1.25 times the rated current value, the first control instruction is used to instruct the fusing current threshold to be reduced to 90% - 100% of the default value; when the first current data is 1.25 - 1.35 times the rated current value, the first control instruction is used to instruct the fusing current threshold to be reduced to 80% - 90% of the default value; when the first current data is 1.35 - 1.45 times the rated current value, the first control instruction is used to instruct the fusing current threshold to be reduced to 60% - 80% of the default value.

[0010] In some embodiments, after sending the first control instruction to the controller at the anomaly occurrence location, the method further includes: detecting the elimination of the small overcurrent anomaly; generating a second control instruction and sending the second control instruction to the controller at the anomaly occurrence location, where the second control instruction is used to instruct the controller at the anomaly occurrence location to adjust the fusing current threshold of the intelligent fuse to the default value.

[0011] In some embodiments, detecting the elimination of the small overcurrent anomaly includes: receiving second current data and second temperature data from the location where the anomaly occurred, where the second current data and the second temperature data are the temperature data and current data collected after the intelligent fuse parameters at the location where the anomaly occurred are adjusted; detecting that the second current data is less than or equal to the rated current value; or, detecting that the second current data is greater than the rated current value and detecting that the temperature rise rate of the second temperature data is lower than the preset temperature rise rate; determining that the small overcurrent anomaly is eliminated.

[0012] In a second aspect, the present application provides a photovoltaic system, which includes a photovoltaic server, and further includes a solar photovoltaic module, a busbar box connected to the solar photovoltaic module, a DC cabinet connected to the busbar box, and a centralized inverter connected to the DC cabinet. The busbar box, the DC cabinet, and the centralized inverter all include a controller and an intelligent fuse; the photovoltaic server is communicatively connected to the busbar box, the DC cabinet, and the centralized inverter; the photovoltaic server is configured to execute the step instructions in the method according to any one of the first aspects.

[0013] In some embodiments, the intelligent fuse includes a control module, a current acquisition module, and a temperature acquisition module; the control module is configured to receive a fuse parameter adjustment instruction from the controller, adjust the fuse current threshold according to the fuse parameter adjustment instruction; and receive a fuse parameter recovery instruction from the controller, and is configured to restore the adjusted fuse current threshold to the default value; and detect that the current data exceeds the fuse current threshold and control the circuit to be cut off.

[0014] In a third aspect, the present application provides a processing device for small overcurrents based on an intelligent fuse, which is applied to a photovoltaic server of a photovoltaic system. The photovoltaic system includes a solar photovoltaic module, a busbar box connected to the solar photovoltaic module, a DC cabinet connected to the busbar box, and a centralized inverter connected to the DC cabinet. The busbar box, the DC cabinet, and the centralized inverter all include a controller and an intelligent fuse. The intelligent fuse is used to collect current data and its own temperature data; the photovoltaic server is communicatively connected to the busbar box, the DC cabinet, and the centralized inverter; the device includes: a receiving unit, configured to receive first current data and first temperature data from the busbar box, the DC cabinet, and the centralized inverter; and, obtain a preset rated current value, a fusing parameter of the intelligent fuse, and a preset temperature rise rate; a processing unit, configured to determine whether there is a small overcurrent anomaly according to the first current data, the first temperature data, the rated current value, the fusing parameter, and the preset temperature rise rate; and, detect that there is the small overcurrent anomaly; and, determine the location where the anomaly occurs and generate a first control instruction; a sending unit, configured to send the first control instruction to the controller at the location where the anomaly occurs, and the first control instruction is used to instruct the controller at the location where the anomaly occurs to adjust the fusing parameter.

[0015] In a fourth aspect, the present application provides a server, including a processor, a memory, a communication interface, and one or more programs. The one or more programs are stored in the memory and executed by the processor, and the programs include instructions for performing the steps in the method according to any one of the first aspects.

[0016] It can be seen that in the embodiments of the present application, the photovoltaic server monitors the first current data and the first temperature data of the busbar box, the DC cabinet, and the centralized inverter in real time through the intelligent fuse; and determines whether there is a small overcurrent anomaly according to the first current data, the rated current value, the fusing parameter, the first temperature data, and the preset temperature rise rate; after detecting that there is a small overcurrent anomaly, determines the location where the anomaly occurs, and instructs the controller at the location where the anomaly occurs to adjust the fusing current threshold of the intelligent fuse, avoiding the problem that the traditional fuse cannot operate due to insufficient heat accumulation, greatly improving the protection ability against small overcurrents, thereby reducing the equipment damage rate and failure rate caused by small overcurrents in the photovoltaic system, improving the overall stability of the photovoltaic system, and further improving the power generation efficiency and economic benefits. Description of the Drawings

[0017] To more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the accompanying drawings required for use in the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings. Among them, Figure 1 is a schematic diagram of the scenario of a photovoltaic system provided by an embodiment of the present application; Figure 2 is a schematic diagram of the structure of an intelligent fuse provided by an embodiment of the present application; Figure 3 is a schematic diagram of the connection relationship of each device in a photovoltaic system provided by an embodiment of the present application; Figure 4 is a schematic diagram of the structure of a photovoltaic server provided by an embodiment of the present application; Figure 5 is a schematic flowchart of a method for handling small overcurrents based on an intelligent fuse provided by an embodiment of the present application; Figure 6 is a complete schematic flowchart of another method for handling small overcurrents based on an intelligent fuse provided by an embodiment of the present application; Figure 7 is a functional unit structure block diagram of a device for handling small overcurrents based on an intelligent fuse provided by an embodiment of the present application. Detailed implementation manners

[0018] In order to enable those skilled in the art to better understand the solutions of the present application, the following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope protected by the present application.

[0019] The terms "first", "second", etc. in the specification and claims of the present application and the above 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 in some embodiments also includes steps or units not listed, or in some embodiments also includes other steps or units inherent to these processes, methods, products, or devices.

[0020] References to "embodiments" in this specification mean that specific features, structures, or characteristics described in connection with the embodiments can be included in at least one embodiment of the present application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment each time, nor are they independent or alternative embodiments mutually exclusive of other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0021] The "and / or" in the embodiments of the present application describes the association relationship of associated objects and indicates that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone; both A and B exist simultaneously; B exists alone. Herein, A and B can be singular or plural.

[0022] In the embodiments of the present application, the symbol " / " can represent an "or" relationship between the associated objects before and after. Additionally, the symbol " / " can also represent a division sign, that is, performing a division operation. For example, A / B can represent A divided by B.

[0023] The "at least one (item)" or similar expressions in the embodiments of the present application refer to any combination of these items, including any combination of a single item or multiple items, and mean one or more. Multiple means two or more. For example, at least one (item) 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. Herein, each of a, b, and c can be an element or a set containing one or more elements.

[0024] The "equals" in the embodiments of the present application can be used in conjunction with "greater than" and is applicable to the technical solutions adopted when greater than, or can also be used in conjunction with "less than" and is applicable to the technical solutions adopted when less than. When "equals" is used in conjunction with "greater than", it is not used in conjunction with "less than"; when "equals" is used in conjunction with "less than", it is not used in conjunction with "greater than".

[0025] Photovoltaic systems are exposed to the outdoor environment for a long time, and components, lines, and other parts are vulnerable to natural factors, resulting in small overcurrent anomalies. Specific scenarios include: Problems at the component end: After long-term exposure to light, wind, and rain, photovoltaic components will experience component aging and performance degradation of local solar cells; or due to dust accumulation or bird droppings blocking, local shadows are formed, resulting in uneven current inside the components and generating small overcurrents (such as 1.1 - 1.45 times the rated current).

[0026] Problems at the line end: Line connection points (such as busbar box terminals and connectors between components) become loose and oxidized after long-term use, increasing the contact resistance and triggering small overcurrents.

[0027] Traditional fuses rely on heat accumulation generated by current to achieve melting. Facing the above-mentioned small overcurrents, a large amount of time is required to complete heat accumulation before they can operate. In a photovoltaic system, such small overcurrents may persist without triggering the disconnection of traditional fuses, leading to potential hazards such as accelerated aging of line insulation and local overheating and burning of components, and even posing a fire risk.

[0028] To solve the above problems, the present application provides a method and device for dealing with small overcurrents based on an intelligent fuse. By continuously monitoring the current data and temperature data in the photovoltaic system through the intelligent fuse, it can promptly respond to small overcurrent anomalies, avoiding the problem that traditional fuses cannot operate due to insufficient heat accumulation, greatly improving the protection ability against small overcurrents, and thus reducing the equipment damage rate and failure incidence rate caused by small overcurrents in the photovoltaic system.

[0029] The following will specifically describe the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems. These specific embodiments below can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0030] Please refer to Figures 1-4 。 Figure 1 FIG. is a schematic diagram of a scenario of a photovoltaic system provided by an embodiment of the present application. As Figure 1 shown, the photovoltaic system 1 includes a photovoltaic server 10, and further includes solar photovoltaic modules 20, a junction box 30 connected to the solar photovoltaic modules 20, a DC cabinet 40 connected to the junction box 30, and a centralized inverter 50 connected to the DC cabinet 40. The photovoltaic server 10 is communicatively connected to the junction box 30, the DC cabinet 40, and the centralized inverter 50.

[0031] Among them, the junction box 30 is connected to at least one solar photovoltaic module 20, the DC cabinet 40 is connected to at least one junction box 30, and the centralized inverter 50 is connected to at least one DC cabinet 40.

[0032] The solar photovoltaic module 20 converts solar energy into direct current through the photovoltaic effect.

[0033] The junction box 30 is used to collect the direct current generated by the solar photovoltaic modules 20. Since the current output by the solar photovoltaic modules 20 is relatively small, the junction box 30 can aggregate the currents of multiple modules, facilitating subsequent transmission and processing. At the same time, it can also monitor and protect the input currents of each path, such as having functions such as overcurrent and short-circuit protection.

[0034] The DC cabinet 40 is used to further distribute, control, and protect the DC power converged by the busbar box 30. It can perform busbar distribution on the DC power supply, distribute the electric energy to different branches, and simultaneously monitor parameters such as the voltage and current of the DC system. It has functions such as overvoltage, undervoltage, and grounding protection to ensure the stable operation of the DC system.

[0035] The centralized inverter 50 is used to convert the DC power output by the DC cabinet 40 into AC power for connection to the power grid. Since the solar photovoltaic modules 20 generate DC power, while the power grid usually requires AC power for transmission and use, the inverter is a key device to achieve this conversion. At the same time, the centralized inverter 50 can also optimize the power quality, such as controlling parameters such as the output voltage, frequency, and phase to meet the grid connection requirements.

[0036] In addition, in addition to the above-mentioned devices, the photovoltaic system 1 further includes a step-up transformer 60 connected to the centralized inverter 50, a power grid distribution and power consumption system 70 connected to the step-up transformer 60, and a user terminal 80 connected to the power grid distribution and power consumption system 70.

[0037] The step-up transformer 60 is used to increase the voltage of the AC power output by the centralized inverter 50 to a voltage level suitable for grid transmission. The power grid distribution and power consumption system 70 is used to distribute and transmit the electric energy output by the step-up transformer 60, deliver the electric energy to each user terminal 80, including multiple parts such as substations, transmission lines, and distribution lines, and can perform voltage conversion, power distribution, and power control on the electric energy to ensure that the electric energy can be safely and stably supplied to different regions and users.

[0038] Among them, the busbar box 30, the DC cabinet 40, and the centralized inverter 50 all include a controller and an intelligent fuse.

[0039] In some embodiments, see Figure 2 , Figure 2 is a schematic structural diagram of the intelligent fuse provided by the embodiment of the present application. As Figure 2 shown, the intelligent fuse 2 includes a control module 21, a current acquisition module 22, and a temperature acquisition module 23.

[0040] Among them, the current acquisition module 22 is used to collect the current data in the device where the intelligent fuse 2 is located, and the temperature acquisition module 23 is used to collect the temperature data of the intelligent fuse 2 itself. The control module 21 can obtain the current data and the temperature data.

[0041] Among them, the intelligent fuse 2 includes fusing parameters. The fusing parameters include the abnormal current-carrying cumulative time and the fusing current threshold. The intelligent fuse 2 also includes the rated current value, which is the current value at which the intelligent fuse 2 can operate normally for a long time. The abnormal current-carrying cumulative time is the observed time when the current is abnormal as agreed. Specifically, if the duration of the current data exceeding the rated current value but not exceeding the fusing current threshold exceeds the abnormal current-carrying cumulative time, it indicates the risk of small overcurrent abnormality. The photovoltaic server 10 will further determine whether there is a small overcurrent abnormality based on the temperature data of the intelligent fuse 2. When there is a small overcurrent abnormality, by lowering the fusing current threshold at the abnormal occurrence location, the intelligent fuse 2 can respond to a smaller overcurrent situation, avoiding the damage caused by small overcurrent abnormalities to the current for a long time. When the current data exceeds the fusing current threshold, the intelligent fuse 2 will directly blow, thus playing a role in protecting the circuit.

[0042] Among them, for the above small overcurrent situation, the intelligent fuse 2 presets a fusing parameter adaptation table, as shown in Table 1 below: Table 1 is the fusing parameter adaptation table provided by the embodiment of the present application

[0043] The fusing parameter adaptation table includes the abnormal current-carrying cumulative time, the fusing current threshold, and the corresponding reduction rate of the fusing current threshold corresponding to different current data. Exemplarily, as shown in Table 1, when the current data of 1.25I n has passed continuously for 30 minutes, if it is determined that there is a small overcurrent abnormality, the fusing current threshold will be reduced to 90% of the default value; when the current data of 1.3I n has passed continuously for 10 minutes, if it is determined that there is a small overcurrent abnormality, the fusing current threshold will be reduced to 80% of the default value; when the current data of 1.4I n has passed continuously for 1 minute, if it is determined that there is a small overcurrent abnormality, the fusing current threshold will be reduced to 60% of the default value.

[0044] Among them, the control module 21 is used to control the disconnection of the circuit after detecting that the current data exceeds the fusing current threshold, so as to protect the circuit and equipment.

[0045] Please refer to Figure 3 , Figure 3 which is a schematic diagram of the connection relationship of each device of a photovoltaic system provided by the embodiment of the present application. As Figure 3 shown, the photovoltaic server 10 is communicatively connected to the controller 3 of the busbar box 30, the DC cabinet 40, and the centralized inverter 50 through a communication network such as a CAN bus or Ethernet, and the controller 3 is communicatively connected to the intelligent fuse.

[0046] Among them, the controller 3 is used to obtain the current data and temperature data collected by the intelligent fuse, preprocess them, and then package and send them to the photovoltaic server 10. The photovoltaic server 10 processes and analyzes the current data and temperature data sent by the busbar trunking unit 30, the DC cabinet 40, and the centralized inverter 50 according to the following method embodiments to determine whether there is a small overcurrent anomaly. When it detects a small overcurrent anomaly, it sends a fuse parameter adjustment instruction to the controller 3 of the device with the anomaly. The controller 3 of the device with the anomaly then sends a fuse parameter adjustment instruction to the intelligent fuse to adjust the fuse current threshold, for example, to decrease the fuse current threshold to detect a small overcurrent situation.

[0047] After that, the photovoltaic server 10 determines whether the small overcurrent anomaly is eliminated according to the current data and temperature data after the fuse parameters are adjusted. In the case where the small overcurrent anomaly is eliminated, it sends a fuse parameter restoration instruction to the controller 3 of the device with the anomaly to restore the fuse parameters of the intelligent fuse to the default values.

[0048] Based on the above, the control module 21 is further configured to receive the fuse parameter adjustment instruction from the controller 3 and adjust the fuse current threshold according to the fuse parameter adjustment instruction; and receive the fuse parameter restoration instruction from the controller 3 to restore the adjusted fuse current threshold to the default value.

[0049] Among them, for the photovoltaic server 10, the photovoltaic server 10 may specifically include a server responsible for data processing on the side of the network platform, which can implement functions such as data transmission and data processing. It can be a physical server, or a server cluster or distributed system composed of multiple physical servers. In this embodiment, the number of servers is not specifically limited. Alternatively, it can also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms.

[0050] For specific implementation, please refer to Figure 4 , Figure 4 which is a schematic structural diagram of a photovoltaic server provided by an embodiment of this application. As Figure 4 shown, the photovoltaic server 10 includes a processor 11, a memory 13, a communication interface 12, and one or more programs 131. Among them, the one or more programs 131 are stored on the memory 13 and are configured to be executed by the above-mentioned processor 11. The one or more programs 131 include instructions for executing any step in the following method embodiments for handling small overcurrents based on intelligent fuses.

[0051] In addition, the solar photovoltaic module 20 includes a light-facing surface adjustment driving device 201. The photovoltaic server 10 is also communicatively connected to the light-facing surface adjustment driving device 201 of the solar photovoltaic module 20 and the meteorological data server 90. The photovoltaic server 10 obtains meteorological data through the meteorological data server 90, analyzes the light-facing angle of the solar photovoltaic module 20 based on the meteorological data, and sends an adjustment instruction to the light-facing surface adjustment driving device 201 according to the light-facing angle, so as to maximize the photoelectric conversion efficiency of the solar photovoltaic module 20.

[0052] Of course, the photovoltaic system 1 may further include other more components, which are not limited herein.

[0053] Based on the above system architecture, a method for handling small overcurrents based on an intelligent fuse provided in an embodiment of the present application is proposed.

[0054] Please refer to Figure 5 , Figure 5 which is a schematic flowchart of a method for handling small overcurrents based on an intelligent fuse provided in an embodiment of the present application. The method is applied to a photovoltaic server as shown in Figure 1 and, as shown in Figure 5 , the method includes the following steps S501 to S505: Step S501, receiving first current data and first temperature data from the busbar box, the DC cabinet, and the centralized inverter; and obtaining a preset rated current value, the fusing parameter of the intelligent fuse, and a preset temperature rise rate.

[0055] Among them, as shown in Figure 3 , the controllers of the busbar box, the DC cabinet, and the centralized inverter obtain current data and temperature data through the intelligent fuse, and preprocess the data such as filtering, amplifying, and removing interference signals, and then package and send them to the photovoltaic server.

[0056] In some embodiments, the busbar box, the DC cabinet, and the centralized inverter have unique identifiers, and the current data and temperature data they send carry unique identifiers. The photovoltaic server can clarify which device's data is being processed currently by obtaining the identification information of the current data and temperature data.

[0057] Specifically, multiple first intelligent fuses in the busbar box perform real-time sampling on the line current connecting multiple solar photovoltaic modules at a sampling frequency of 100 kHz. Similarly, the temperature sensors built in the first intelligent fuses continuously collect their own temperatures. The first controller in the busbar box performs preliminary processing on the collected current and temperature data, and uploads the processed data to the photovoltaic server through a communication network.

[0058] The second intelligent fuse in the DC cabinet synchronously samples the current in the DC cabinet at 100 kHz, and the temperature sensor built in the second intelligent fuse collects its own temperature. The second controller in the DC cabinet preliminarily processes the collected current and temperature data, and uploads the processed data to the PV server through the communication network.

[0059] The third intelligent fuse in the centralized inverter synchronously samples the current in the centralized inverter at 100 kHz, and the temperature sensor built in the third intelligent fuse collects its own temperature. The third controller in the centralized inverter preliminarily processes the collected current and temperature data, and uploads the processed data to the PV server through the communication network.

[0060] Step S502, determine whether there is a small overcurrent anomaly according to the first current data, the first temperature data, the rated current value, the fusing parameter, and the preset temperature rise rate.

[0061] Among them, after the PV server receives the current data and temperature data from the busbar box, the DC cabinet, and the centralized inverter, it analyzes the current data uploaded by the busbar box, the DC cabinet, and the centralized inverter, compares it with the preset rated current value, and based on the comparison of the current data, analyzes the temperature rise trend through the temperature data, and further clarifies whether there is a small overcurrent anomaly according to the comparison between the temperature rise trend and the preset temperature rise rate.

[0062] Step S503, it is detected that there is the small overcurrent anomaly.

[0063] In some embodiments, the fusing parameter includes a fusing current threshold and an abnormal current-carrying cumulative time. The detection of the existence of the small overcurrent anomaly includes: detecting that the duration for which the first current data exceeds the rated current value and does not exceed the fusing current threshold exceeds the abnormal current-carrying cumulative time; calculating the temperature rise rate according to the first temperature data; detecting that the temperature rise rate exceeds the preset temperature rise rate; and confirming the existence of the small overcurrent anomaly.

[0064] Among them, the fusing parameters include a fusing current threshold and an abnormal current flow cumulative time. The abnormal current flow cumulative time is the observed time when the current is abnormal as agreed. Specifically, if the duration during which the current data exceeds the rated current value but does not exceed the fusing current threshold exceeds the abnormal current flow cumulative time, it indicates a risk of small overcurrent abnormality. The photovoltaic server will further determine whether there is a small overcurrent abnormality based on the temperature data of the intelligent fuse. When there is a small overcurrent abnormality, by lowering the fusing current threshold at the abnormal occurrence location, the intelligent fuse can respond to a smaller overcurrent situation, avoiding the damage to the current caused by the small overcurrent abnormality for a long time. When the current data exceeds the fusing current threshold, the intelligent fuse will directly blow, thus playing a role in protecting the circuit.

[0065] In a possible example, the judgment criterion for small overcurrent can be set to 1.1 - 1.45 times the rated current value.

[0066] When the first current data exceeds 1.1 - 1.45 times the rated current, analyze the temperature rising trend, obtain the temperature rising speed. If it is detected that the temperature rising speed exceeds the preset rising speed, further confirm that there is a small overcurrent situation.

[0067] It can be seen that in this embodiment, through the real - time data interaction and intelligent control between the intelligent fuse and the photovoltaic server, the intelligent management of the photovoltaic system is realized. The photovoltaic server makes a preliminary judgment on the circuit situation through the current data, and conducts a final confirmation and detection through the temperature data, and can respond to the small overcurrent situation in a timely manner. At the same time, the operation and maintenance personnel can understand the operation status of the system in real time through the photovoltaic server, discover and handle potential problems in a timely manner, improve the operation and maintenance efficiency, and reduce the operation and maintenance cost.

[0068] Step S504, determine the abnormal occurrence location and generate a first control instruction.

[0069] In some embodiments, the first current data and the first temperature data carry identification information. The determining of the abnormal occurrence location includes: obtaining the identification information of the first current data and the first temperature data detected to have a small overcurrent abnormality; determining that the abnormal occurrence location is at least one of the bus - bar trunking unit, the DC cabinet, or the centralized inverter according to the identification information.

[0070] Specifically, the photovoltaic server analyzes and compares the first current data and the first temperature data in terms of current and temperature. If it is detected that the currently processed first current data and first temperature data are determined to have a small overcurrent abnormality, obtain the identification information of the currently processed first current data and first temperature data. This identification information is the identification information of any one of the bus - bar trunking unit, the DC cabinet, or the centralized inverter, so as to determine the abnormal occurrence location.

[0071] It can be seen that in this embodiment, the photovoltaic server accurately locates the position where the anomaly occurs, sends a control instruction to the controller at the position where the anomaly occurs, and accurately adjusts the parameters of the intelligent fuse, avoiding the impact on other normal components and ensuring the stability and security of the system operation.

[0072] Step S505: Send the first control instruction to the controller at the position where the anomaly occurs.

[0073] Wherein, the first control instruction is used to instruct the controller at the position where the anomaly occurs to adjust the fuse current threshold of the intelligent fuse.

[0074] In some embodiments, the first control instruction is used to instruct the controller to reduce the fuse current threshold according to a preset fuse parameter adaptation table, and the fuse parameter adaptation table includes the abnormal through-current cumulative time corresponding to different current data, the default value of the fuse current threshold, and the adjusted value.

[0075] Specifically, in some embodiments, the default value of the fuse current threshold is 1.1 - 1.45 times the rated current value; when the first current data is 1.1 - 1.25 times the rated current value, the first control instruction is used to instruct the fuse current threshold to be reduced to 90% - 100% of the default value; when the first current data is 1.25 - 1.35 times the rated current value, the first control instruction is used to instruct the fuse current threshold to be reduced to 80% - 90% of the default value; when the first current data is 1.35 - 1.45 times the rated current value, the first control instruction is used to instruct the fuse current threshold to be reduced to 60% - 80% of the default value.

[0076] Exemplarily, in combination with Table 1, it is detected that there is a small overcurrent anomaly. Assuming the fuse current threshold is 1.45I n , and the first current data is 1.25I n , then the fuse current threshold is reduced to 90% of the default value; when the first current data is 1.3I n , then the fuse current threshold is reduced to 80% of the default value; when the first current data is 4I n , then the fuse current threshold is reduced to 60% of the default value; when the first current data is 1.5I n , then the fuse is directly blown.

[0077] It should be noted that this embodiment is only an example provided by this application. The specific adjustment range can be designed by the user according to the actual usage scenario, and no limitation is imposed thereon.

[0078] It can be seen that in the embodiments of the present application, the photovoltaic server monitors the first current data and the first temperature data of the busbar box, the DC cabinet, and the centralized inverter in real time through the intelligent fuse; and determines whether there is a small overcurrent anomaly according to the first current data, the rated current value, the fusing parameter, the first temperature data, and the preset temperature rise rate; after detecting the existence of a small overcurrent anomaly, determines the location where the anomaly occurs, and instructs the controller at the location where the anomaly occurs to adjust the fusing current threshold of the intelligent fuse, avoiding the problem that the traditional fuse cannot operate due to insufficient heat accumulation, greatly improving the protection ability against small overcurrents, thereby reducing the equipment damage rate and the failure incidence rate caused by small overcurrents in the photovoltaic system, improving the overall stability of the photovoltaic system, and further improving the power generation efficiency and economic benefits.

[0079] In some embodiments, after sending the first control instruction to the controller at the location where the anomaly occurs, the method further includes: detecting that the small overcurrent anomaly is eliminated; generating a second control instruction, and sending the second control instruction to the controller at the location where the anomaly occurs, where the second control instruction is used to instruct the controller at the location where the anomaly occurs to adjust the fusing current threshold of the intelligent fuse back to the default value.

[0080] Among them, after adjusting the parameters of the intelligent fuse, the intelligent fuses of the busbar box, the DC cabinet, and the centralized inverter continue to collect current data and temperature data in real time and upload them to the photovoltaic server. The photovoltaic server continuously analyzes the data to determine whether the small overcurrent situation has been eliminated.

[0081] When it is monitored that the current data returns to the rated current range, and the temperature is within the normal range and lasts for a period of time, the photovoltaic server determines that the small overcurrent anomaly is eliminated and sends a second control instruction, that is, a fusing parameter restoration instruction, to the corresponding controller.

[0082] After receiving the instruction, the controller at the location where the anomaly occurs restores the fusing current threshold of the intelligent fuse to the default value.

[0083] Specifically, in some embodiments, the detecting that the small overcurrent anomaly is eliminated includes: receiving second current data and second temperature data from the location where the anomaly occurs, where the second current data and the second temperature data are the temperature data and current data collected after the parameters of the intelligent fuse at the location where the anomaly occurs are adjusted; detecting that the second current data is less than or equal to the rated current value; or, detecting that the second current data is greater than the rated current value, and detecting that the temperature rise rate of the second temperature data is lower than the preset temperature rise rate; determining that the small overcurrent anomaly is eliminated.

[0084] It can be seen that in this embodiment, the photovoltaic server can automatically determine whether the small overcurrent situation has been eliminated by continuously analyzing data, realizing the automatic diagnosis function for abnormal situations, improving the efficiency and accuracy of abnormal situation handling, and reducing the workload and error of manual troubleshooting and judgment. After determining that the abnormal situation of small overcurrent has been eliminated, the photovoltaic server can automatically send an instruction to the corresponding controller to restore the fuse current threshold of the intelligent fuse to the default value, realizing the automatic recovery of the system without manual intervention, improving the stability and reliability of the system, reducing the system downtime, and improving the overall efficiency of the photovoltaic power generation system.

[0085] Consistent with the above method embodiment, please refer to Figure 6 , Figure 6 which is a complete flow schematic diagram of another small overcurrent processing method based on an intelligent fuse provided by the embodiment of the present application. As Figure 6 shown, the method includes the following steps S601 - step S608: Step S601, receive the first current data and the first temperature data from the busbar box, DC cabinet, and centralized inverter; and obtain the preset rated current value, the fuse parameters of the intelligent fuse, and the preset temperature rise rate.

[0086] Step S602, determine whether there is a small overcurrent abnormality according to the first current data, the first temperature data, the rated current value, the fuse parameters, and the preset temperature rise rate.

[0087] Step S603, detect that the duration when the first current data exceeds the rated current value and does not exceed the fuse current threshold exceeds the abnormal current-carrying cumulative time; calculate the temperature rise rate according to the first temperature data; detect that the temperature rise rate exceeds the preset temperature rise rate; confirm that there is a small overcurrent abnormality.

[0088] Step S604, determine the abnormal occurrence location and generate a first control instruction.

[0089] Step S605, send the first control instruction to the controller at the abnormal occurrence location.

[0090] Among them, the first control instruction is used to instruct the controller at the abnormal occurrence location to adjust the fuse parameters of the intelligent fuse.

[0091] Step S606, receive the second current data and the second temperature data from the abnormal occurrence location.

[0092] Among them, the second current data and the second temperature data are the temperature data and current data collected after the fuse parameters of the intelligent fuse at the abnormal occurrence location are adjusted.

[0093] Step S607: It is detected that the second current data is less than or equal to the rated current value; or, it is detected that the second current data is greater than the rated current value, and the temperature rising speed of the second temperature data is lower than the preset rising speed; it is determined that the minor overcurrent anomaly is eliminated.

[0094] Step S608: Generate a second control instruction and send the second control instruction to the controller at the anomaly occurrence location.

[0095] Among them, the second control instruction is used to instruct the controller at the anomaly occurrence location to adjust the fuse current threshold of the intelligent fuse to the default value.

[0096] It can be seen that in the embodiment of the present application, the photovoltaic server monitors the first current data and the first temperature data of the busbar box, DC cabinet, and centralized inverter in real time through the intelligent fuse; and determines whether there is a minor overcurrent anomaly according to the first current data, rated current value, fuse parameters, first temperature data, and preset temperature rising speed; after detecting the minor overcurrent anomaly, determine the anomaly occurrence location, and instruct the controller at the anomaly occurrence location to adjust the fuse current threshold of the intelligent fuse, avoiding the problem that the traditional fuse cannot operate due to insufficient heat accumulation, greatly improving the protection ability against minor overcurrents, thereby reducing the equipment damage rate and failure rate caused by minor overcurrents in the photovoltaic system, improving the overall stability of the photovoltaic system, and further improving the power generation efficiency and economic benefits.

[0097] The above mainly introduces the solution of the embodiment of the present application from the perspective of the execution process on the method side. It can be understood that in order for the server 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, combining 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.

[0098] The embodiment of the present application can divide the server into functional units 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 module. The above integrated unit can be implemented in the form of hardware or in the form of a software program module. 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.

[0099] In the case of adopting an integrated unit, please refer to Figure 7 , Figure 7 which is a functional unit structure block diagram of a small overcurrent processing device based on an intelligent fuse provided by an embodiment of the present application. As Figure 7 shown, the small overcurrent processing device 7 based on the intelligent fuse includes: A receiving unit 701, configured to receive first current data and first temperature data from the busbar box, the DC cabinet, and the centralized inverter; and obtain a preset rated current value, a fusing parameter of the intelligent fuse, and a preset temperature rise speed; A processing unit 702, configured to determine whether there is a small overcurrent anomaly according to the first current data, the first temperature data, the rated current value, the fusing parameter, and the preset temperature rise speed; and detect that there is the small overcurrent anomaly; and determine the anomaly occurrence location and generate a first control instruction; A sending unit 703, configured to send the first control instruction to the controller at the anomaly occurrence location, and the first control instruction is used to instruct the controller at the anomaly occurrence location to adjust the fusing parameter.

[0100] It can be seen that in the embodiment of the present application, the photovoltaic server monitors the first current data and the first temperature data of the busbar box, the DC cabinet, and the centralized inverter in real time through the intelligent fuse; and determines whether there is a small overcurrent anomaly according to the first current data, the rated current value, the fusing parameter, the first temperature data, and the preset temperature rise speed; after detecting that there is a small overcurrent anomaly, determines the anomaly occurrence location, and instructs the controller at the anomaly occurrence location to adjust the fusing current threshold of the intelligent fuse, avoiding the problem that the traditional fuse cannot operate due to insufficient heat accumulation, greatly improving the protection ability against small overcurrents, thereby reducing the equipment damage rate and the failure incidence rate caused by small overcurrents in the photovoltaic system, improving the overall stability of the photovoltaic system, and further improving the power generation efficiency and economic benefits.

[0101] In some embodiments, the fusing parameter includes a fusing current threshold and an abnormal current-carrying cumulative time. The processing unit 702 detecting that there is the small overcurrent anomaly includes: detecting that the duration for which the first current data exceeds the rated current value and does not exceed the fusing current threshold exceeds the abnormal current-carrying cumulative time; calculating the temperature rise speed according to the first temperature data; detecting that the temperature rise speed exceeds the preset temperature rise speed; and confirming that there is the small overcurrent anomaly.

[0102] In some embodiments, the first current data and the first temperature data carry identification information. The processing unit 702 determines the abnormal occurrence location, including: obtaining the identification information of the first current data and the first temperature data detected to have a small overcurrent abnormality; determining that the abnormal occurrence location is at least one of the busbar box, the DC cabinet, or the centralized inverter according to the identification information.

[0103] In some embodiments, the first control instruction is used to instruct the controller to reduce the fuse current threshold according to a preset fuse parameter adaptation table, and the fuse parameter adaptation table includes the abnormal current-carrying cumulative time corresponding to different current data, the default value of the fuse current threshold, and the adjusted value.

[0104] In some embodiments, the default value of the fuse current threshold is 1.1 - 1.45 times the rated current value; when the first current data is 1.1 - 1.25 times the rated current value, the first control instruction is used to instruct the fuse current threshold to be reduced to 90% - 100% of the default value; when the first current data is 1.25 - 1.35 times the rated current value, the first control instruction is used to instruct the fuse current threshold to be reduced to 80% - 90% of the default value; when the first current data is 1.35 - 1.45 times the rated current value, the first control instruction is used to instruct the fuse current threshold to be reduced to 60% - 80% of the default value.

[0105] In some embodiments, after the sending unit 703 sends the first control instruction to the controller at the abnormal occurrence location, the processing unit 702 is further configured to: detect that the small overcurrent abnormality is eliminated; generate a second control instruction and send the second control instruction to the controller at the abnormal occurrence location, and the second control instruction is used to instruct the controller at the abnormal occurrence location to adjust the fuse current threshold of the intelligent fuse to the default value.

[0106] In some embodiments, the processing unit 702 detects that the small overcurrent abnormality is eliminated, including: receiving second current data and second temperature data from the abnormal occurrence location, where the second current data and the second temperature data are the temperature data and current data collected after the parameters of the intelligent fuse at the abnormal occurrence location are adjusted; detecting that the second current data is less than or equal to the rated current value; or, detecting that the second current data is greater than the rated current value and detecting that the temperature rising speed of the second temperature data is lower than the preset temperature rising speed; determining that the small overcurrent abnormality is eliminated.

[0107] An embodiment of the present application provides a computer-readable storage medium, on which a computer program / instructions are stored, and when the computer program / instructions are executed by a processor, the steps of the method according to any possible embodiment are implemented.

[0108] It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present application is not limited by the described action sequence, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0109] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0110] In several embodiments provided by the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the above division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical or other form.

[0111] The units described as separate components above may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0112] In addition, in each embodiment of the present application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0113] If the above integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the above methods in various embodiments of this application. The aforementioned memory includes: USB flash drives, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), mobile hard disks, magnetic disks, or optical discs, etc., which are various media that can store program codes.

[0114] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. This program can be stored in a computer-readable memory, and the memory can include: flash drives, read-only memories (English: Read-Only Memory, abbreviated as: ROM), random access memories (English: Random Access Memory, abbreviated as: RAM), magnetic disks, or optical discs, etc.

[0115] The above has introduced the embodiments of this application in detail. Specific examples are used in this article to elaborate on the principle and implementation manner of this application. The description of the above embodiments is only used to help understand the method and its core idea of this application; at the same time, for those of ordinary skill in the art, according to the idea of this application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to this application.

Claims

1. A method for processing small overcurrent based on an intelligent fuse, characterized in that: A photovoltaic server applied to a photovoltaic system, wherein the photovoltaic system comprises a solar photovoltaic module, a combiner box connected to the solar photovoltaic module, a DC cabinet connected to the combiner box, and a centralized inverter connected to the DC cabinet, wherein the combiner box, the DC cabinet, and the centralized inverter all comprise a controller and an intelligent fuse, and the intelligent fuse is used to collect current data and its own temperature data; The photovoltaic server is communicatively connected with the combiner box, the DC cabinet, and the centralized inverter; the method comprises: Receiving first current data and first temperature data from the combiner box, the DC cabinet, and the centralized inverter; and obtaining a preset rated current value, a fusing parameter of the smart fuse, and a preset heating speed; Determine whether there is a small overcurrent abnormality according to the first current data, the first temperature data, the rated current value, the fusing parameter and the preset heating speed; Detecting the presence of the small overcurrent anomaly; Determine the location where the abnormality occurs and generate a first control instruction; The first control instruction is sent to the controller at the location where the abnormality occurs, where the first control instruction is used to instruct the controller at the location where the abnormality occurs to adjust the fusing parameter.

2. The method for processing a small overcurrent based on an intelligent fuse according to claim 1, characterized in that: The fusing parameters include a fusing current threshold and an abnormal current accumulation time, and the detecting of the presence of the small overcurrent anomaly includes: It is detected that the first current data exceeds the rated current value, and the duration of not exceeding the fuse current threshold value exceeds the abnormal current accumulation time; Calculating the temperature rising rate according to the first temperature data; detecting that the temperature rise rate exceeds the preset temperature rise rate; The presence of the minor overcurrent abnormality is confirmed.

3. The method for processing a small overcurrent based on an intelligent fuse according to claim 1, characterized in that: The first current data and the first temperature data carry identification information, and the determining of the abnormality occurrence location includes: Acquire identification information of first current data and first temperature data detected to have a small overcurrent anomaly; The abnormality occurrence location is determined according to the identification information as at least one of the combiner box, the DC cabinet or the centralized inverter.

4. The method for processing a small overcurrent based on an intelligent fuse according to claim 2, characterized in that: The first control instruction is used to instruct the controller to reduce the fusing current threshold according to a preset fusing parameter adaptation table, wherein the fusing parameter adaptation table includes the abnormal current accumulation time corresponding to different current data, the default value of the fusing current threshold and the adjusted value.

5. The method for processing a small overcurrent based on an intelligent fuse according to claim 4, characterized in that: The default value of the fusing current threshold is 1.1-1.45 times of the rated current value; When the first current data is 1.1-1.25 times the rated current value, the first control instruction is used to instruct the fusing current threshold to be reduced to 90%-100% of the default value; When the first current data is 1.25-1.35 times the rated current value, the first control instruction is used to instruct the fusing current threshold to be reduced to 80%-90% of the default value; When the first current data is 1.35-1.45 times the rated current value, the first control instruction is used to instruct the fusing current threshold to be reduced to 60%-80% of the default value.

6. The method for processing small overcurrent based on intelligent fuse according to claim 1, characterized in that: After sending the first control instruction to the controller at the abnormality occurrence location, the method further includes: It is detected that the small overcurrent abnormality is eliminated; A second control instruction is generated and sent to the controller at the location where the abnormality occurs, wherein the second control instruction is used to instruct the controller at the location where the abnormality occurs to adjust the fusing current threshold of the smart fuse to return to a default value.

7. The method for processing a small overcurrent based on an intelligent fuse according to claim 6, characterized in that: The detecting that the small overcurrent abnormality is eliminated includes: Receiving second current data and second temperature data from the abnormality occurrence location, where the second current data and the second temperature data are temperature data and current data collected after the parameters of the smart fuse at the abnormality occurrence location are adjusted; It is detected that the second current data is less than or equal to the rated current value; or, It is detected that the second current data is greater than the rated current value, and it is detected that the temperature rise rate of the second temperature data is lower than the preset temperature rise rate; It is determined that the small overcurrent abnormality is eliminated.

8. A photovoltaic system, characterized in that: The photovoltaic system includes a photovoltaic server, and includes solar photovoltaic components, a junction box connected to the solar photovoltaic components, a DC cabinet connected to the junction box, and a centralized inverter connected to the DC cabinet, wherein the junction box, the DC cabinet, and the centralized inverter all include a controller and an intelligent fuse; the photovoltaic server is communicatively connected to the junction box, the DC cabinet, and the centralized inverter; the photovoltaic server is used to execute the step instructions in the method for processing small overcurrents based on intelligent fuses as described in any one of claims 1-7.

9. The photovoltaic system according to claim 8, characterized in that: The intelligent fuse includes a control module, a current acquisition module and a temperature acquisition module; The control module is used to receive a fusing parameter adjustment instruction from the controller, and adjust the fusing current threshold according to the fusing parameter adjustment instruction; and receiving a fusing parameter restoration instruction from the controller, for restoring the adjusted fusing current threshold to a default value; as well as, When it is detected that the current data exceeds the fuse current threshold, the circuit is cut off through control.

10. A small overcurrent processing device based on an intelligent fuse, characterized in that: A photovoltaic server applied to a photovoltaic system, wherein the photovoltaic system comprises a solar photovoltaic module, a combiner box connected to the solar photovoltaic module, a DC cabinet connected to the combiner box, and a centralized inverter connected to the DC cabinet, wherein the combiner box, the DC cabinet, and the centralized inverter all comprise a controller and an intelligent fuse, and the intelligent fuse is used to collect current data and its own temperature data; The photovoltaic server is communicatively connected with the combiner box, the DC cabinet, and the centralized inverter; the device includes: A receiving unit, configured to receive first current data and first temperature data from the combiner box, the DC cabinet, and the centralized inverter; and to obtain a preset rated current value, a fusing parameter of the smart fuse, and a preset heating speed; a processing unit, configured to determine whether a small overcurrent anomaly exists according to the first current data, the first temperature data, the rated current value, the fusing parameter, and the preset temperature rise rate; and, detecting the existence of the small overcurrent anomaly; and, determining a location where the anomaly occurs, and generating a first control instruction; A sending unit is used to send the first control instruction to the controller at the location where the abnormality occurs, wherein the first control instruction is used to instruct the controller at the location where the abnormality occurs to adjust the fuse parameter.

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