Anti-countercurrent control method and device, electronic equipment and photovoltaic grid-connected system

Abstract

The invention discloses an anti-countercurrent control method and device, electronic equipment and a photovoltaic grid-connected system, and the method comprises the steps: obtaining first information reported by a target anti-countercurrent device when the target anti-countercurrent device detects a countercurrent state, and enabling the first information to comprise current data and temperature data corresponding to the target anti-countercurrent device, the target anti-reflux device is any high-voltage anti-reflux device or low-voltage anti-reflux device in the anti-reflux control network; target parameter values are determined according to the current data and the temperature data, the target parameter values are used for representing numerical values corresponding to fusing parameters, and the fusing parameters comprise a fusing current threshold value and breaking time; a regulation and control instruction carrying the target parameter value is sent to the target anti-reflux device, the regulation and control instruction is used for indicating the target intelligent fuse to adjust the corresponding fusing parameter according to the target parameter value, and the target intelligent fuse is the intelligent fuse deployed in the target anti-reflux device. According to the application, the dynamic adjustment of the fusing parameter is realized, and the anti-reflux effect is optimized.

Description

Technical Field

[0001] The present application relates to the technical field of circuit protection devices in the new energy field, and particularly relates to a reverse current prevention control method, device, electronic device, and photovoltaic grid-connected system. Background Art

[0002] In a photovoltaic grid-connected system, when the power generation of photovoltaic modules exceeds the local load demand, the excess electric energy is likely to form a reverse current flowing back into the grid. This reverse current will have an adverse impact on the stability and safety of the grid voltage operation. Therefore, in practical applications, it is necessary to prevent the photovoltaic system from feeding power to the grid, which is called reverse current prevention. Currently, the fuses configured in the photovoltaic grid-connected system can be used as an auxiliary protection measure to protect the grid when the reverse current regulation of the photovoltaic grid-connected system fails. However, existing fuses all adopt fixed-value fusing parameters, which cannot respond to reverse currents smaller than the fusing threshold in the fusing parameters, and there is often a problem of delayed response to excessive reverse currents, and they cannot accurately handle different reverse current scenarios, resulting in a risk of grid protection failure and affecting system reliability. Summary of the Invention

[0003] Embodiments of the present application provide a reverse current prevention control method, device, electronic device, and photovoltaic grid-connected system, aiming to achieve dynamic adjustment of fusing parameters and improve the accuracy and reliability of reverse current prevention and control.

[0004] In a first aspect, an embodiment of the present application provides a reverse current prevention control method, which is applied to a server in a photovoltaic grid-connected system. The photovoltaic grid-connected system includes the server and a reverse current prevention control network. The reverse current prevention control network includes a high-voltage bus, a medium-voltage bus, and a low-voltage bus. A high-voltage reverse current prevention device is deployed between the high-voltage bus and the medium-voltage bus, and a low-voltage reverse current prevention device is deployed between the medium-voltage bus and the low-voltage bus. The low-voltage bus is provided with a connection point for connecting photovoltaic devices. Intelligent fuses are deployed on both the high-voltage reverse current prevention device and the low-voltage reverse current prevention device. The server is communicatively connected to each high-voltage reverse current prevention device and low-voltage reverse current prevention device. The method includes: Obtaining first information reported by a target reverse current prevention device when detecting a reverse current state. The first information includes current data and temperature data corresponding to the target reverse current prevention device. The target reverse current prevention device is any one of the high-voltage reverse current prevention devices or low-voltage reverse current prevention devices in the reverse current prevention control network; Determining a target parameter value according to the current data and the temperature data. The target parameter value is used to represent the value corresponding to the fusing parameter. The fusing parameter includes a fusing current threshold and a breaking time; Send a control command carrying the target parameter value to the target anti-counterflow device, where the control command is used to instruct the target intelligent fuse to adjust the corresponding fusing parameter according to the target parameter value, and the target intelligent fuse is the intelligent fuse deployed in the target anti-counterflow device.

[0005] In some embodiments of the first aspect above, the determining the target parameter value according to the current data and the temperature data includes: Determine the degree of counterflow corresponding to the target anti-counterflow device according to the current data; Determine the temperature difference degree corresponding to the target anti-counterflow device according to the temperature data; Determine the target parameter value corresponding to the target intelligent fuse according to the degree of counterflow and the temperature difference degree.

[0006] In some embodiments of the first aspect above, the determining the degree of counterflow corresponding to the target anti-counterflow device according to the current data includes; Determine the current amplitude according to the current data and the preset counterflow threshold of the target anti-counterflow device; Determine the amplitude ratio according to the ratio of the current amplitude to the preset counterflow threshold; Determine the degree of counterflow according to the amplitude ratio.

[0007] In some embodiments of the first aspect above, the determining the temperature difference degree corresponding to the target anti-counterflow device according to the temperature data includes: Determine the current temperature value corresponding to the target anti-counterflow device when detecting the counterflow state according to the temperature data; Determine the temperature difference degree according to the difference between the current temperature value and the rated temperature value of the target anti-counterflow device.

[0008] In some embodiments of the first aspect above, the first information further includes the identification information of the target anti-counterflow device, and the determining the target parameter value corresponding to the target intelligent fuse according to the degree of counterflow and the temperature difference degree includes: Determine the counterflow position corresponding to the target anti-counterflow device according to the identification information; Determine a parameter matching table according to the counterflow position, where the parameter matching table includes multiple sets of corresponding relationships between the degree of counterflow, the temperature difference degree, and the preset parameter value; Determine the target parameter value according to the degree of counterflow, the temperature difference degree, and the parameter matching table.

[0009] In some embodiments of the first aspect above, after sending the control command carrying the target parameter value to the target anti-counterflow device, the method further includes: Obtain the second information reported by the target anti-backflow device when it detects the elimination of the backflow state; Generate a reset instruction according to the second information, where the reset instruction is used to instruct the target intelligent fuse to restore the fusing parameter to the initial parameter value; Send the reset instruction to the target anti-backflow device.

[0010] In a second aspect, an embodiment of the present application provides a photovoltaic grid-connected system, which includes a server and an anti-backflow control network. The anti-backflow control network includes a high-voltage bus, a medium-voltage bus, and a low-voltage bus. A high-voltage anti-backflow device is deployed between the high-voltage bus and the medium-voltage bus, and a low-voltage anti-backflow device is deployed between the medium-voltage bus and the low-voltage bus. The low-voltage bus is provided with a grid connection point for connecting photovoltaic devices. Intelligent fuses are deployed in both the high-voltage anti-backflow device and the low-voltage anti-backflow device. The server is communicatively connected to each of the high-voltage anti-backflow device and the low-voltage anti-backflow device, and the server is configured to execute the step instructions in the method according to any one of the embodiments in the first aspect above.

[0011] In some embodiments of the second aspect above, the intelligent fuse includes a control module and a current acquisition module; The control module is configured to communicate with the server to receive a regulation instruction from the server and adjust the corresponding fusing parameter according to the target parameter value carried in the regulation instruction; Receive a reset instruction from the server and restore the adjusted fusing parameter to the initial parameter value; and, The control module is further configured to control the circuit to be cut off within the segmented time adjusted according to the regulation instruction when the backflow current exceeds the fusing current threshold adjusted according to the regulation instruction.

[0012] In a third aspect, an embodiment of the present application provides an anti-backflow control device, which is applied to a server in a photovoltaic grid-connected system. The photovoltaic grid-connected system includes the server and an anti-backflow control network. The anti-backflow control network includes a high-voltage bus, a medium-voltage bus, and a low-voltage bus. A high-voltage anti-backflow device is deployed between the high-voltage bus and the medium-voltage bus, and a low-voltage anti-backflow device is deployed between the medium-voltage bus and the low-voltage bus. The low-voltage bus is provided with a grid connection point for connecting photovoltaic devices. Intelligent fuses are deployed in both the high-voltage anti-backflow device and the low-voltage anti-backflow device. The server is communicatively connected to each of the high-voltage anti-backflow device and the low-voltage anti-backflow device; the anti-backflow control device includes: An acquisition unit, configured to acquire first information reported by a target anti-backflow device when a backflow state is detected, where the first information includes current data and temperature data corresponding to the target anti-backflow device, and the target anti-backflow device is any high-voltage anti-backflow device or low-voltage anti-backflow device in the anti-backflow control network; A determination unit, configured to determine a target parameter value according to the current data and the temperature data, where the target parameter value is used to represent a value corresponding to a fusing parameter, and the fusing parameter includes a fusing current threshold and a breaking time; A sending unit, configured to send a regulation instruction carrying the target parameter value to the target anti-backflow device, where the regulation instruction is used to instruct a target intelligent fuse to adjust a corresponding fusing parameter according to the target parameter value, and the target intelligent fuse is an intelligent fuse deployed in the target anti-backflow device.

[0013] In a fourth 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 one or more programs are stored in the memory and are configured to be executed by the processor, and the programs include instructions for executing the steps in the first aspect of the embodiment of the present application.

[0014] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, storing a computer program for electronic data exchange, where the computer program enables a computer to execute some or all of the steps described in the first aspect of this embodiment.

[0015] In a sixth aspect, 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 enable a computer to execute some or all of the steps described in the first aspect of the present application. The computer program product may be a software installation package.

[0016] It can be seen that in the embodiments of the present application, the server obtains the first information reported by the target anti-counterflow device when it detects the counterflow state. The first information includes the current data and temperature data corresponding to the target anti-counterflow device, and the target anti-counterflow device is any high-voltage anti-counterflow device or low-voltage anti-counterflow device in the anti-counterflow control network; determines the target parameter value according to the current data and temperature data, and the target parameter value is used to represent the value corresponding to the fusing parameter, and the fusing parameter includes the fusing current threshold and the breaking time; sends a regulation instruction carrying the target parameter value to the target anti-counterflow device, and the regulation instruction is used to instruct the target intelligent fuse to adjust the corresponding fusing parameter according to the target parameter value, and the target intelligent fuse is the intelligent fuse deployed in the target anti-counterflow device. The present application can dynamically determine the target parameter value according to the real-time temperature data and current data, and instruct the target intelligent fuse to dynamically adjust the fusing parameter according to the target parameter value, so that the fusing parameter of the target intelligent fuse can be adapted to the current counterflow scenario, thereby ensuring that when other anti-counterflow means of the photovoltaic grid-connected system fail, the target intelligent fuse can accurately respond to the counterflow, improving the accuracy of counterflow protection, and further improving the stability and reliability of the operation of the photovoltaic grid-connected system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0018] Figure 1 is a schematic diagram of the architecture of a photovoltaic grid-connected system provided by an embodiment of the present application; Figure 2 is a schematic diagram of the architecture of an anti-counterflow control network provided by an embodiment of the present application; Figure 3 is a schematic diagram of the structure of an intelligent fuse provided by an embodiment of the present application; Figure 4 is a schematic flowchart of an anti-counterflow control method provided by an embodiment of the present application; Figure 5 is a schematic flowchart of another anti-counterflow control method provided by an embodiment of the present application; Figure 6 is a block diagram of the functional units of an anti-counterflow control device provided by an embodiment of the present application; Figure 7 is a block diagram of the functional units of another anti-counterflow control device provided by an embodiment of the present application; Figure 8 is an example diagram of the composition of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0019] To enable those skilled in the art to better understand the solution of this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with 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 belong to the scope of protection of this application.

[0020] The terms "first", "second", etc. in the specification and claims of this 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 optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices.

[0021] Referring to "embodiments" herein means that the specific features, structures, or characteristics described in connection with the embodiments can be included in at least one embodiment of this application. The phrase appears in various places in the specification and 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.

[0022] The embodiments of this application will be described below in conjunction with the accompanying drawings.

[0023] Please refer to Figure 1 , Figure 1 , which is a schematic diagram of the architecture of a photovoltaic grid-connected system provided by an embodiment of this application. As Figure 1 shown, the photovoltaic grid-connected system includes a server 110 and an anti-backflow control network 120. The anti-backflow control network 120 includes a high-voltage bus 121, a medium-voltage bus 122, and a low-voltage bus 123. A high-voltage anti-backflow device 130 is deployed between the high-voltage bus 121 and the medium-voltage bus 122, and a low-voltage anti-backflow device 140 is deployed between the medium-voltage bus 122 and the low-voltage bus 123. The low-voltage bus 123 is provided with a connection point for connecting the photovoltaic device 150. Intelligent fuses are deployed in both the high-voltage anti-backflow device 130 and the low-voltage anti-backflow device 140. The server 110 is communicatively connected to each high-voltage anti-backflow device 130 and low-voltage anti-backflow device 140, and is communicatively connected to each intelligent fuse.

[0024] In some embodiments, the anti-counterflow control network may include multiple sub-networks. Each sub-network includes buses of multiple voltage levels. The high-voltage buses in the multiple sub-networks are connected to the grid voltage, and the high-voltage buses in the multiple sub-networks are interconnected through switching devices such as circuit breakers. The number of buses corresponding to different sub-networks may be different, and the voltages of the buses at the same level may be the same or different. For example, the voltages of the buses connected to the high-voltage bus in different sub-networks may be the same or different. An anti-counterflow device (i.e., the above-mentioned high-voltage anti-counterflow device and low-voltage anti-counterflow device) is deployed between two adjacent buses.

[0025] Exemplarily, referring to Figure 2 , Figure 2 is a schematic diagram of the architecture of an anti-counterflow control network provided by an embodiment of the present application. In Figure 2 the anti-counterflow control network in the shown architecture includes a first sub-network and a second sub-network. Among them, the first sub-network includes a 35 kV section I high-voltage bus, a 10 kV section I medium-voltage bus, and multiple parallel 0.4 kV low-voltage buses. A first anti-counterflow device is deployed between the 35 kV section I high-voltage bus and the 10 kV section I medium-voltage bus. Multiple loads (such as the fifth load and the sixth load, etc.) are connected to the 10 kV section I medium-voltage bus. Low-voltage anti-counterflow devices (such as the third anti-counterflow device and the fourth anti-counterflow device) are deployed between the 10 kV section I medium-voltage bus and each 0.4 kV low-voltage bus. Photovoltaic devices (such as 700 kWp photovoltaic devices, 800 kWp photovoltaic devices, etc.) and other loads are respectively connected to a single 0.4 kV low-voltage bus. The second sub-network includes a 35 kV section II high-voltage bus and a 10 kV section II low-voltage bus. A second anti-counterflow device is deployed between the 35 kV section II high-voltage bus and the 10 kV section II low-voltage bus in the second sub-network. Photovoltaic devices (such as 3465 kWp photovoltaic devices) and multiple loads (such as the seventh load and the eighth load, etc.) are connected to the 10 kV section II low-voltage bus. The 35 kV section I high-voltage bus and the 35 kV section II high-voltage bus are interconnected through switching devices such as circuit breakers. Among them, the first anti-counterflow device and the second anti-counterflow device are high-voltage anti-counterflow devices, and the third anti-counterflow device and the fourth anti-counterflow device are low-voltage anti-counterflow devices. It can be understood that photovoltaic devices may also be connected to the 10 kV section I medium-voltage bus, and no further limitation is made here.

[0026] Specifically, Figure 1The server 110 shown is responsible for data processing in the background that 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, the server 110 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. No further restrictions are made here.

[0027] Specifically, the anti-backflow device between two adjacent busbars can be deployed on the transformer side. Refer to Figure 1 , a first transformer (not shown in the figure) is deployed between the high-voltage busbar 121 and the medium-voltage busbar 122, and the high-voltage anti-backflow device 130 is deployed on the side of the first transformer. The first transformer is used to convert the high voltage on the high-voltage busbar 121 side into the low voltage on the medium-voltage busbar 122 side. A second transformer (not shown in the figure) is deployed between the medium-voltage busbar 122 and the low-voltage busbar 123, and the low-voltage anti-backflow device 140 is deployed on the side of the second transformer. The second transformer is used to convert the high voltage on the medium-voltage busbar 122 side into the low current on the low-voltage busbar 123 side.

[0028] In some embodiments, multiple low-voltage busbars can be connected to the same busbar. Exemplarily, in combination with referring to Figure 1 and Figure 2 , in Figure 1 the anti-backflow control network shown, there can be multiple low-voltage busbars connected to the medium-voltage busbar. A low-voltage anti-backflow device can be deployed between each low-voltage busbar and the medium-voltage busbar, and each low-voltage busbar can be provided with a connection point for connecting photovoltaic equipment. At the same time, an intelligent fuse is correspondingly deployed in each low-voltage anti-backflow device.

[0029] In some embodiments, devices such as relays or power diodes can be deployed in the high-voltage anti-backflow device and the low-voltage anti-backflow device to detect current and current direction. Temperature sensors can also be deployed in the high-voltage anti-backflow device and the low-voltage anti-backflow device, and the temperature sensors are used to collect the device temperature of the high-voltage anti-backflow device or the low-voltage anti-backflow device.

[0030] In some embodiments, refer to Figure 3 , Figure 3 is a schematic structural diagram of an intelligent fuse provided by an embodiment of the present application. As Figure 3 shown, the intelligent fuse 30 includes a control module 31 and a current acquisition module 32.

[0031] Among them, the current acquisition module 32 is used to acquire the current data of the flowing current in real time, and its sampling frequency can be 100 kHz.

[0032] Among them, the control module 31 can obtain the current data acquired by the current acquisition module 32, and can determine whether the current reaches the fuse current threshold according to the current data analysis. The control module 31 can be communicatively connected to the server 110 to cooperate with the server to implement the steps in the following method. Specifically, the control module 31 can be used to receive the regulation instruction from the server, and adjust the corresponding fuse parameter according to the target parameter value carried by the regulation instruction; the control module 31 can also be used to receive the reset instruction from the server, and restore the adjusted fuse parameter to the initial parameter value according to the reset instruction; and, the control module 31 can also be used to control the circuit to be cut off within the segmented time adjusted according to the regulation instruction when the reverse current exceeds the fuse current threshold adjusted according to the regulation instruction.

[0033] Among them, the intelligent fuse is configured with fuse parameters. Among them, the fuse parameters include the fuse current threshold and the segmented time, etc. The fuse current threshold is a multiple of the rated current. Among them, the rated current refers to the current value at which the intelligent fuse can work normally for a long time, and the fuse current threshold refers to the minimum current value at which the fuse will melt within the breaking time.

[0034] In traditional fuse products, the preset reverse current threshold is usually set smaller than the fuse current threshold to reduce the occurrence of false fusing caused by system current fluctuations (such as sudden load drop, sudden increase in photovoltaic power, etc.). Among them, the preset reverse current threshold refers to the maximum reverse current allowed for the photovoltaic grid-connected system to operate. However, this setting causes that when there is a system regulation failure, that is, when the reverse current cannot be eliminated by adjusting measures such as the power generation power of photovoltaic devices, in the case where the current is greater than the preset reverse current threshold but less than the fuse current threshold, the fuse cannot respond to the reverse current, and the power grid will be threatened by current impact. And the fuse current thresholds of existing fuses are all fixed values. When there is a system regulation failure, even if the reverse current is greater than the fuse current threshold, there is also a problem of response lag and it cannot respond quickly according to the actual reverse current situation.

[0035] In this application, the server configures different target parameter values for different reverse current scenarios, so that the fuse can dynamically adjust the fuse parameters of the intelligent fuse according to the target parameter values of the corresponding reverse current scenarios, which can improve the accuracy and timeliness of reverse current prevention and control in the case of system regulation failure.

[0036] It can be understood that other components may also be included in the photovoltaic grid-connected system. For example, multiple loads may be respectively connected to the medium-voltage bus and the low-voltage bus (such as Figure 1 the first load, the second load,..., the Nth load connected to the medium-voltage bus, and the third load, the fourth load,..., the Mth load connected to the low-voltage bus, or such as Figure 2Other loads shown), etc., are not further restricted here. The photovoltaic device is used to convert solar energy into direct current through the photovoltaic effect to supply power to the load.

[0037] Based on this, the present application provides an anti-backflow control method, device, electronic device, and photovoltaic grid-connected system. The present application will be described in detail below with reference to the accompanying drawings.

[0038] Please refer to Figure 4 , Figure 4 which is a schematic flowchart of an anti-backflow control method provided by an embodiment of the present application. As Figure 4 shown, the anti-backflow control method includes the following steps: S410, obtain first information reported by a target anti-backflow device when detecting a backflow state.

[0039] Among them, the first information includes current data and temperature data corresponding to the target anti-backflow device, and the target anti-backflow device is any high-voltage anti-backflow device or low-voltage anti-backflow device in the anti-backflow control network.

[0040] In specific implementation, multiple anti-backflow devices in the photovoltaic grid-connected system will analyze the current collected in real time to determine whether there is a backflow state in the corresponding anti-backflow device. Among them, the backflow state refers to the state corresponding to when the target anti-backflow device detects that the current reverses (that is, the current flows into the grid) and the backflow current is greater than the preset backflow threshold. The anti-backflow device that detects the existence of the backflow state (that is, the target anti-backflow device) will package the collected current data and temperature data and upload them to the server.

[0041] S420, determine a target parameter value according to the current data and the temperature data.

[0042] Among them, the target parameter value is used to represent the value corresponding to the fusing parameter, and the fusing parameter includes a fusing current threshold and a breaking time. The fusing current threshold is the minimum current value that triggers the intelligent fuse. The breaking time is the time required for the circuit to break from reaching the fusing current threshold. Among them, in the backflow state, the fusing current threshold is the value of the minimum backflow current that triggers the intelligent fuse.

[0043] In specific implementation, before determining the target parameter value, the server can call system regulation measures (such as reducing the power generation power of the photovoltaic device) and other anti-backflow means according to the backflow state, and detect whether the backflow is eliminated after a preset time to determine whether the system anti-backflow means fails. If the backflow state is still detected after the preset time, it is determined that the system anti-backflow means fails and an intelligent fuse needs to be used for backflow prevention and control.

[0044] In specific implementation, after determining that other anti-backflow means have failed, the server can further analyze based on the current data to verify the accuracy of the backflow state, thereby improving the accuracy and reliability of anti-backflow control. Specifically, after receiving the current data carried by the first information, the server can first determine whether there is a reverse current based on the current data. If there is a reverse current, then compare the backflow current with a preset backflow threshold. When it is determined that the backflow current is greater than the preset current threshold, it is determined that there is a backflow state.

[0045] Specifically, the server can first determine the target parameter value adapted to the current backflow situation based on the current data and temperature data reported by the target anti-backflow device, and then generate a corresponding control instruction according to the target parameter value.

[0046] Since the fusing current threshold is positively correlated with the breaking time, it can be understood that the fusing parameter corresponding to the target parameter value is less than the initial parameter value of the fusing parameter, so as to identify the situation where the backflow current is greater than the preset backflow threshold but less than the fusing current threshold in the initial parameter value, thereby ensuring that the target intelligent fuse can respond quickly and accurately.

[0047] In a possible example, the determining the target parameter value according to the current data and the temperature data includes: determining the backflow degree corresponding to the target anti-backflow device according to the current data; determining the temperature difference degree corresponding to the target anti-backflow device according to the temperature data; and determining the target parameter value according to the backflow degree and the temperature difference degree.

[0048] Specifically, different levels of backflow degrees can be set according to the numerical ranges where different backflow currents are located. Different temperature difference degrees can also be set according to the numerical ranges where different temperature differences are located.

[0049] In specific implementation, the server can pre-store multiple sets of corresponding relationships between backflow degrees, temperature difference degrees, and preset parameter values. After the server determines the backflow degree and temperature difference degree corresponding to the target anti-backflow device based on the current data and temperature data respectively, it can match the adapted preset parameter value from multiple sets of corresponding relationships according to the backflow degree and temperature difference degree, and determine it as the target parameter value corresponding to the target intelligent fuse.

[0050] It can be seen that in this example, the server first determines the backflow degree according to the current data and the temperature difference degree according to the temperature data, which is beneficial to improving the accuracy of identifying the actual backflow situation through the current data and temperature data. On this basis, further determining the target parameter value according to the backflow degree and temperature difference degree can not only dynamically adjust the fusing parameter according to different backflow situations, but also reduce the influence of temperature on the adjustment accuracy, improve the adaptability of the target parameter value to the backflow scenario, and thus improve the accuracy of anti-backflow.

[0051] In a possible example, determining the degree of backflow corresponding to the target backflow prevention device based on the current data includes: determining the current amplitude according to the current data and the preset backflow threshold of the target backflow prevention device; determining the amplitude ratio according to the ratio of the current amplitude to the preset backflow threshold; and determining the degree of backflow according to the amplitude ratio.

[0052] Wherein, the current amplitude is the difference between the backflow current and the preset backflow threshold.

[0053] In specific implementation, the server can first determine the value of the backflow current according to the current data, then calculate the difference between the backflow current and the preset backflow threshold, and determine this difference as the current amplitude. Then calculate the ratio of this current amplitude to the preset backflow threshold, and determine this ratio as the amplitude ratio, so as to match the corresponding level of the backflow degree according to the amplitude ratio. Thus, the determination of the backflow degree is realized.

[0054] Specifically, when determining the value of the backflow current, the server can directly determine the current value corresponding to the current in the current data as the backflow current. Or, the server can extract the current values of all backflow currents within the first preset time period adjacent to the current time from the current data, and determine the average value of these current values as the backflow current, so as to ensure the reliability of the determined current amplitude.

[0055] It can be seen that in this example, by determining the amplitude ratio according to the ratio of the current amplitude to the preset backflow threshold, and then determining the backflow degree according to the amplitude ratio, compared with directly characterizing the backflow degree according to the current amplitude, it can more accurately represent the deviation degree of the backflow current relative to the preset current threshold, and thus more accurately identify the emergency degree of backflow prevention.

[0056] In a possible example, determining the temperature difference degree corresponding to the target backflow prevention device based on the temperature data includes: determining the current temperature value corresponding to the target backflow prevention device when detecting the backflow state according to the temperature data; and determining the temperature difference degree according to the difference between the current temperature value and the rated temperature value of the target backflow prevention device.

[0057] Wherein, the rated temperature value refers to the temperature value corresponding to the normal operation of the target intelligent fuse.

[0058] In specific implementation, the current temperature can be the temperature value corresponding to the current time extracted by the server from the temperature data. Or, the server can first extract all temperature values within the second time period adjacent to the current time from the temperature data, and determine the average value of these temperature values as the current temperature value, so as to avoid determining the abnormal data collected as the current temperature value and improve the accuracy and reliability of the current temperature value.

[0059] Specifically, after determining the current temperature, the difference between the rated temperature value of the target intelligent fuse and the current temperature can be calculated, and then the magnitudes of the current temperature value and the rated temperature value can be compared, so as to determine the corresponding temperature difference degree according to the above difference and comparison result. Exemplarily, the preset temperature difference degrees may include normal temperature difference, over-low temperature difference, and over-high temperature difference. If the above difference is within the numerical range corresponding to the normal temperature difference, the temperature difference degree corresponding to the target intelligent fuse is the normal temperature difference. If the above difference is not within the numerical range corresponding to the normal temperature difference, and the current temperature difference value is less than the rated temperature difference value, the temperature difference degree corresponding to the target intelligent fuse is the over-low temperature difference. If the above difference is not within the numerical range corresponding to the normal temperature difference, and the current temperature difference value is greater than the rated temperature difference value, the temperature difference degree corresponding to the target intelligent fuse is the over-high temperature difference. Further comparing the magnitudes of the current temperature value and the rated temperature value to determine the temperature difference degree can more accurately reflect the actual working temperature condition compared with directly determining the temperature difference degree according to the difference, and more accurately judge the influence of temperature on the countercurrent and fusing parameters.

[0060] It can be seen that in this example, determining the temperature difference degree according to the difference between the current temperature value and the rated temperature value of the target intelligent fuse is beneficial to improving the simplicity of determining the temperature difference degree and improving the efficiency.

[0061] In a possible example, the first information further includes the identification information of the target anti-countercurrent device. The determining the target parameter value corresponding to the target anti-countercurrent device according to the countercurrent degree and the temperature difference degree includes: determining the countercurrent position corresponding to the target intelligent fuse according to the identification information; determining a parameter matching table according to the countercurrent position, where the parameter matching table includes multiple sets of corresponding relationships between the countercurrent degree, the temperature difference degree, and the preset parameter value; determining the target parameter value according to the countercurrent degree, the temperature difference degree, and the parameter matching table.

[0062] Among them, the countercurrent position is used to represent the subnet where the target anti-countercurrent device is located and its hierarchical position in the photovoltaic grid-connected system. Among them, the hierarchical position is used to represent the type of the target anti-countercurrent device, that is, whether it is a high-voltage anti-countercurrent device or a low-voltage anti-countercurrent device. Among them, the specific content of the parameter matching table can be the content configured manually according to empirical values, or the content obtained by training according to historical data through a neural network model or a multiple regression model, etc. The historical data at least includes data such as countercurrent current, temperature, and fusing parameters collected according to experimental tests and actual circuit operations, and no further limitations are imposed here.

[0063] In specific implementation, the countercurrent position can be determined according to the identification information first. Then, the target intelligent fuse can be determined to be located in the high-voltage anti-countercurrent device or the low-voltage anti-countercurrent device according to the countercurrent position. That is, the type of the target anti-countercurrent device is determined according to the countercurrent position, and then the corresponding parameter matching table is matched according to the type. Furthermore, the target parameter value is determined according to the degree of countercurrent, the degree of temperature difference, and the adapted parameter matching table.

[0064] Specifically, when the target anti-countercurrent device is a high-voltage anti-countercurrent device, it can further be determined whether there are other low-voltage anti-countercurrent devices in the countercurrent state in the subnet where the target anti-countercurrent device is located according to the countercurrent position. If not, the corresponding parameter matching table is directly determined according to the type of the target anti-countercurrent device, and then the target parameter value is determined according to the degree of countercurrent, the degree of temperature difference, and the parameter matching table. If so, the corresponding parameter matching table can be determined according to the type of the target anti-countercurrent device first, and then the first parameter value is determined according to the degree of countercurrent, the degree of temperature difference, and the parameter matching table. Then, the fusing current threshold corresponding to the first parameter value is increased by a preset multiple, and the breaking time corresponding to the first parameter value is extended by a preset value, so as to obtain the target parameter value, so that the intelligent fuse in the high-voltage anti-countercurrent device acts later than the intelligent fuse in the low-voltage anti-countercurrent device, so as to avoid affecting the normal operation of other circuits in the system and ensure the stability and reliability of the system operation.

[0065] Exemplarily, referring to Figure 2 , if the server simultaneously monitors that the intelligent fuses corresponding to the fourth anti-countercurrent device and the first anti-countercurrent device both identify the countercurrent state, and the actual countercurrent current is 1.2 times the rated current of the intelligent fuses in the fourth anti-countercurrent device and the first anti-countercurrent device. If the fusing current threshold in the original fusing parameters corresponding to the two intelligent fuses is 1.3 times the rated current and the breaking time is 100 ms. The steps of adjusting according to the target parameter value obtained by the above method can be: dynamically reducing the fusing current threshold of the intelligent fuse in the fourth anti-countercurrent device to 1 times its corresponding rated current, and shortening the breaking time to 30 ms; at the same time, for the intelligent fuse in the first anti-countercurrent device, its fusing current threshold can be dynamically reduced to 1.2 times its corresponding rated current, and the breaking time is shortened to 80 ms. In this way, while ensuring accurate prevention and control of countercurrent, the intelligent fuse in the fourth anti-countercurrent device can be fused first, avoiding the situation that when countercurrent occurs in the branch corresponding to the fourth anti-countercurrent device and the first anti-countercurrent device detects the countercurrent, the two intelligent fuses are disconnected simultaneously, resulting in misoperation of the intelligent fuse in the first anti-countercurrent device.

[0066] It can be seen that in this example, the server determines the reverse flow position corresponding to the target intelligent fuse through the identification information, and thus selects an appropriate parameter matching table according to the reverse flow position to further determine the target parameter value in combination with the degree of reverse flow and the temperature difference, which is beneficial to realizing the differential adjustment of intelligent fuses at different positions in the photovoltaic grid-connected system, so as to further improve the accuracy and reliability of reverse flow prevention and control.

[0067] S430. Send a regulation instruction carrying the target parameter value to the target reverse flow prevention device.

[0068] Among them, the regulation instruction is used to instruct the target intelligent fuse to adjust the corresponding fusing parameter according to the target parameter value. The target intelligent fuse is the intelligent fuse deployed in the target reverse flow prevention device.

[0069] In specific implementation, the server can send a regulation instruction to the main controller of the reverse flow prevention device, and then the main controller of the reverse flow prevention device forwards the regulation instruction to the target intelligent fuse, so that the target intelligent fuse adjusts the corresponding fusing parameter according to the target parameter value. Or, the server and each intelligent fuse in the reverse flow prevention control network can be communicatively connected. In this way, the server can directly send a regulation instruction to the target intelligent fuse in the target reverse flow prevention device to improve the processing efficiency.

[0070] In specific implementation, after receiving the regulation instruction, the target intelligent fuse will adjust the fusing parameter to the target parameter value and continue to monitor the current in real time to monitor the triggering situation.

[0071] It can be seen that in the embodiment of the present application, the server obtains the first information reported by the target reverse flow prevention device when detecting the reverse flow state. The first information includes the current data and temperature data corresponding to the target reverse flow prevention device. The target reverse flow prevention device is any high-voltage reverse flow prevention device or low-voltage reverse flow prevention device in the reverse flow prevention control network; determines the target parameter value according to the current data and temperature data. The target parameter value is used to represent the value corresponding to the fusing parameter, and the fusing parameter includes the fusing current threshold and the breaking time; sends a regulation instruction carrying the target parameter value to the target reverse flow prevention device. The regulation instruction is used to instruct the target intelligent fuse to adjust the corresponding fusing parameter according to the target parameter value. The target intelligent fuse is the intelligent fuse deployed in the target reverse flow prevention device. The present application can dynamically determine the target parameter value according to the real-time temperature data and current data, and instruct the target intelligent fuse to dynamically adjust the fusing parameter according to the target parameter value, so that the fusing parameter of the target intelligent fuse can be adapted to the current reverse flow scenario, thereby ensuring that when other reverse flow prevention means in the photovoltaic grid-connected system fail, the target intelligent fuse can accurately respond to the reverse flow, improve the accuracy of reverse flow protection, and further improve the stability and reliability of the operation of the photovoltaic grid-connected system.

[0072] In some embodiments, after sending the control instruction carrying the target parameter value to the target anti-backflow device, the method further includes: obtaining second information reported by the target anti-backflow device when detecting the elimination of the backflow state; generating a reset instruction according to the second information, where the reset instruction is used to instruct the target intelligent fuse to restore the fusing parameter to the initial parameter value; and sending the reset instruction to the target anti-backflow device.

[0073] Wherein, the initial parameter value refers to the value of the fusing parameter of the target intelligent fuse before being adjusted according to the control instruction.

[0074] In specific implementation, after the target intelligent fuse adjusts the fusing parameter according to the control instruction, it will continue to continuously monitor the current in real time and analyze the monitored current data to determine whether a triggering situation occurs, that is, whether the current reaches the fusing current threshold. At the same time, the target anti-backflow device will also continue to continuously monitor the current in real time and analyze the monitored current data to determine whether the backflow state is eliminated.

[0075] Specifically, when the target anti-backflow device monitors that the backflow state is eliminated and after a period of time, it can report the second information to the server to inform the server of the state of the elimination of the backflow state. Among them, the steps of monitoring the elimination of the backflow state include: determining whether there is a reverse current; if so, then determining whether the reverse current is greater than a preset reverse threshold; if it is greater, the backflow state is not eliminated; if it is less, the backflow state is eliminated; if there is no reverse current, the backflow state is eliminated.

[0076] Specifically, the server can send a reset instruction to the main controller of the target anti-backflow device or the target intelligent fuse in response to the second information. Or, the server can further analyze the current data carried by the second information to verify the accuracy of the elimination of the backflow state, and after successful verification, send a reset instruction to the main controller of the target anti-backflow device or the target intelligent fuse, so that the target intelligent fuse restores the adjusted fusing threshold to the initial parameter value according to the reset instruction.

[0077] It can be seen that in this example, the target anti-backflow device can judge whether the backflow state is eliminated by continuously analyzing data, realizing automatic diagnosis of abnormal backflow and improving the accuracy of backflow processing. At the same time, when it is confirmed that the backflow state is eliminated, the server can send a reset instruction to the target intelligent fuse to instruct the intelligent fuse to restore the adjusted fusing parameter to the initial parameter value, which can realize the automatic recovery of the system to detect and protect the forward current, without manual intervention, improving the stability and reliability of the system, reducing the system downtime, and improving the overall efficiency of the photovoltaic grid-connected system.

[0078] In some embodiments, after the target anti-backflow device detects the elimination of the backflow state, it can also directly instruct the target intelligent fuse to restore the adjusted fuse threshold to the initial parameter value, so as to further improve the system's automatic recovery efficiency and reduce the system downtime.

[0079] Consistent with the above method embodiments, please refer to Figure 5 , Figure 5 which is a schematic flowchart of another anti-backflow control method provided by an embodiment of the present application. As Figure 5 shown, the method includes the following steps S510 - step S560: S510, obtain the first information reported by the target anti-backflow device when detecting the backflow state.

[0080] Among them, the first information includes current data and temperature data corresponding to the target intelligent fuse, and the target intelligent fuse is one of multiple intelligent fuses.

[0081] S520, determine the target parameter value according to the current data and the temperature data.

[0082] Among them, the target parameter value is used to represent the value corresponding to the fuse parameter, and the fuse parameter includes the fuse current threshold and the breaking time.

[0083] S530, send the regulation instruction carrying the target parameter value to the target anti-backflow device.

[0084] Among them, the regulation instruction is used to instruct the target intelligent fuse to adjust the fuse parameter according to the target parameter value.

[0085] S540, obtain the second information reported by the target anti-backflow device when detecting the elimination of the backflow state.

[0086] S550, generate a reset instruction according to the second information, and the reset instruction is used to instruct the target intelligent fuse to restore to the initial parameter value.

[0087] S560, send the reset instruction to the target anti-backflow device.

[0088] It can be seen that in the embodiment of the present application, the server obtains the first information reported by the target anti-backflow device when detecting the backflow state. The first information includes the current data and temperature data corresponding to the target anti-backflow device. The target anti-backflow device is any high-voltage anti-backflow device or low-voltage anti-backflow device in the anti-backflow control network. The server determines the target parameter value according to the current data and temperature data. The target parameter value is used to represent the value corresponding to the fusing parameter. The fusing parameter includes the fusing current threshold and the breaking time. The server sends a regulation instruction carrying the target parameter value to the target anti-backflow device. The regulation instruction is used to instruct the target intelligent fuse to adjust the corresponding fusing parameter according to the target parameter value. The target intelligent fuse is the intelligent fuse deployed in the target anti-backflow device. The present application can dynamically determine the target parameter value according to the real-time temperature data and current data, and instruct the target intelligent fuse to dynamically adjust the fusing parameter according to the target parameter value, so that the fusing parameter of the target intelligent fuse can adapt to the current backflow scenario. Thus, when other anti-backflow means of the photovoltaic grid-connected system fail, the target intelligent fuse can accurately respond to the backflow, improving the accuracy of backflow protection, and further improving the stability and reliability of the operation of the photovoltaic grid-connected system.

[0089] Consistent with the above-described embodiment, please refer to Figure 6 , Figure 6 FIG. is a block diagram of the functional units of an anti-backflow control device provided by an embodiment of the present application. The anti-backflow control device is the server in the above photovoltaic grid-connected system or a part of the server. The photovoltaic grid-connected system includes a server and an anti-backflow control network. The anti-backflow control network includes a high-voltage bus, a medium-voltage bus, and a low-voltage bus. A high-voltage anti-backflow device is deployed between the high-voltage bus and the low-voltage bus, and a low-voltage anti-backflow device is deployed between the medium-voltage bus and the low-voltage bus. The low-voltage bus is provided with a connection point for connecting photovoltaic devices. Intelligent fuses are deployed in both the high-voltage anti-backflow device and the low-voltage anti-backflow device. The server is communicatively connected to each intelligent fuse. The anti-backflow control device 60 includes: An obtaining unit 610, configured to obtain first information reported by a target anti-backflow device when detecting a backflow state. The first information includes current data and temperature data corresponding to the target anti-backflow device. The target anti-backflow device is any high-voltage anti-backflow device or low-voltage anti-backflow device in the anti-backflow control network. A determining unit 620, configured to determine a target parameter value according to the current data and the temperature data. The target parameter value is used to represent a value corresponding to a fusing parameter. The fusing parameter includes a fusing current threshold and a breaking time. A sending unit 630, configured to send a regulation instruction carrying the target parameter value to a target anti-counterflow device, where the regulation instruction is used to instruct a target intelligent fuse to adjust corresponding fusing parameters according to the target parameter value, and the target intelligent fuse is an intelligent fuse deployed in the target anti-counterflow device.

[0090] In a possible example, in terms of determining the target parameter value according to the current data and the temperature data, the determining unit is specifically configured to: determine the counterflow degree corresponding to the target anti-counterflow device according to the current data; determine the temperature difference degree corresponding to the target anti-counterflow device according to the temperature data; and determine the target parameter value corresponding to the target intelligent fuse according to the counterflow degree and the temperature difference degree.

[0091] In a possible example, in terms of determining the counterflow degree corresponding to the target anti-counterflow device according to the current data, the generating unit is specifically configured to: determine a current amplitude according to the current data and a preset counterflow threshold of the target anti-counterflow device; determine an amplitude ratio according to a ratio of the current amplitude to the preset counterflow threshold; and determine the counterflow degree according to the amplitude ratio.

[0092] In a possible example, in terms of determining the temperature difference degree corresponding to the target anti-counterflow device according to the temperature data, the generating unit is specifically configured to: determine a current temperature value corresponding to the target anti-counterflow device when detecting the counterflow state according to the temperature data; and determine the temperature difference degree according to a difference between the current temperature value and a rated temperature value of the target anti-counterflow device.

[0093] In a possible example, the first information further includes identification information of the target anti-counterflow device. In terms of determining the target parameter value corresponding to the target intelligent fuse according to the counterflow degree and the temperature difference degree, the generating unit is specifically configured to: determine a counterflow position corresponding to the target anti-counterflow device according to the identification information; determine a parameter matching table according to the counterflow position, where the parameter matching table includes multiple groups of corresponding relationships between the counterflow degree, the temperature difference degree, and preset parameter values; and determine the target parameter value according to the counterflow degree, the temperature difference degree, and the parameter matching table.

[0094] In a possible example, the anti-counterflow control device further includes a reset control unit, and the reset control unit is configured to: after sending the regulation instruction carrying the target parameter value to the target anti-counterflow device, obtain second information reported by the target anti-counterflow device when detecting the elimination of the counterflow state; generate a reset instruction according to the second information, where the reset instruction is used to instruct the target intelligent fuse to restore the fusing parameters to initial parameter values; and send the reset instruction to the target anti-counterflow device.

[0095] It can be understood that since the method embodiments and the device embodiments are different presentation forms of the same technical concept, the content of the method embodiments in this application should be synchronously adapted to the device embodiments, and will not be elaborated here.

[0096] In the case of adopting an integrated unit, the functional unit composition block diagram of another anti-counterflow control device provided in the embodiments of the present application is as Figure 7 shown. In Figure 7 , the anti-counterflow control device 60 includes: a processing module 720 and a communication module 710. The processing module 720 is used to control and manage the actions of the anti-counterflow control device 60. For example, it obtains the steps executed by the acquisition unit 610, the determination unit 620, and the sending unit 630, and / or is used to execute other processes of the technologies described herein. The communication module 710 is used to support the interaction between the anti-counterflow control device 60 and other devices. As Figure 7 shown, the anti-counterflow control device 60 may further include a storage module 730, and the storage module 730 is used to store the program code and data of the anti-counterflow control device 60.

[0097] Among them, the processing module 720 may be a processor or a controller. For example, it may be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an ASIC, an FPGA, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, modules, and circuits described in connection with the disclosed content of the embodiments of the present application. The processor may 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, and so on. The communication module 710 may be a transceiver, an RF circuit, or a communication interface, etc. The storage module 730 may be a memory.

[0098] Among them, all relevant contents of each scenario involved in the above method embodiments can be cited in the function descriptions of the corresponding functional modules, and will not be elaborated here. The above anti-counterflow control device 60 can execute the above Figure 4 shown anti-counterflow control method.

[0099] Figure 8 is a composition example diagram of an electronic device provided in the embodiments of the present application. As Figure 8As shown, the electronic device 80 can be any one of the above-mentioned server and anti-backflow device, and is used to execute the above-mentioned method. The electronic device 80 may include a processor 810, a memory 820, a communication interface 830, and one or more programs 821. Among them, the processor 810, the memory 820, and the communication interface 830 are interconnected and complete communication with each other. The one or more programs 821 are stored in the above-mentioned memory 820 and are configured to be executed by the above-mentioned processor 810. The one or more programs 821 include instructions for executing any step in the above-mentioned method embodiments.

[0100] Among them, the communication interface 830 is used to support the communication between the electronic device 80 and other devices. The processor 810 can be, for example, 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 disclosed content of the embodiments 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, and so on.

[0101] The memory 820 can be a volatile memory, a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash memory. The volatile memory can be a Random Access Memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of random access memory 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 Direct Rambus RAM (DRRAM).

[0102] In a specific implementation, the processor 810 is used to execute any step in the above method embodiments, and when performing data transmission such as sending, the communication interface 830 can be selectively called to complete the corresponding operation.

[0103] It should be noted that the schematic structural diagram of the above electronic device 80 is only an example, and the specific devices included can be more or less, and there is no unique limitation here.

[0104] This application can divide the electronic device 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 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 embodiments of this application is illustrative, and is only a logical function division. There can be other division methods in actual implementation.

[0105] The embodiments of the present application further provide a computer-readable storage medium. The computer-readable storage medium stores a computer program for electronic data exchange, and the computer program enables the computer to execute some or all of the steps of any of the methods described in the foregoing method embodiments. The computer includes a server.

[0106] The embodiments of the present application further provide a computer program product. The computer program product includes a non-transitory computer-readable storage medium storing a computer program. The computer program is operable to enable the computer to execute some or all of the steps of any of the anti-counterflow control methods described in the foregoing method embodiments. The computer program product can be a software installation package.

[0107] 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, some 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.

[0108] In the above embodiments, the descriptions of the various 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.

[0109] 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 only illustrative. For example, the above division of units is only a logical function division. In actual implementation, there can 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 to 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.

[0110] The units described as separate components 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 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.

[0111] In addition, in each embodiment of the present application, each functional unit can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

[0112] 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 the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The 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 each embodiment of the present application. The aforementioned memory includes: USB flash drives, read-only memory (ROM), random access memory (RAM), mobile hard disks, magnetic disks, or optical discs, etc., which can store program codes.

[0113] 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. The program can be stored in a computer-readable memory, and the memory can include: flash drives, ROM, RAM, magnetic disks, or optical discs, etc.

[0114] The above has introduced the embodiments of the present application in detail. Specific examples are used in this article to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present 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 the present application.

Claims

1. A reverse flow prevention control method, characterized in that, A server applied to a photovoltaic grid-connected system, the photovoltaic grid-connected system including the server and an anti-backflow control network, the anti-backflow control network including a high-voltage bus, a medium-voltage bus, and a low-voltage bus, a high-voltage anti-backflow device being deployed between the high-voltage bus and the medium-voltage bus, a low-voltage anti-backflow device being deployed between the medium-voltage bus and the low-voltage bus, the low-voltage bus being provided with a connection point for connecting photovoltaic equipment, intelligent fuses being deployed in both the high-voltage anti-backflow device and the low-voltage anti-backflow device, the server being communicatively connected to each of the high-voltage anti-backflow device and the low-voltage anti-backflow device; The method includes: Obtain first information reported by a target anti-backflow device when detecting a backflow state, the first information including current data and temperature data corresponding to the target anti-backflow device, the target anti-backflow device being any one of the high-voltage anti-backflow devices or low-voltage anti-backflow devices in the anti-backflow control network; Determine a target parameter value according to the current data and the temperature data, the target parameter value being used to represent a value corresponding to a fusing parameter, the fusing parameter including a fusing current threshold and a breaking time; Send a control instruction carrying the target parameter value to the target anti-backflow device, the control instruction being used to instruct the target intelligent fuse to adjust the corresponding fusing parameter according to the target parameter value, the target intelligent fuse being the intelligent fuse deployed in the target anti-backflow device.

2. The reverse flow prevention control method according to claim 1, characterized in that, The determining the target parameter value according to the current data and the temperature data includes: Determine the degree of backflow corresponding to the target anti-backflow device according to the current data; Determine the temperature difference degree corresponding to the target anti-backflow device according to the temperature data; Determine the target parameter value corresponding to the target intelligent fuse according to the degree of backflow and the temperature difference degree.

3. The reverse flow prevention control method according to claim 2, characterized in that, The determining the degree of backflow corresponding to the target anti-backflow device according to the current data includes: Determine a current amplitude according to the current data and a preset backflow threshold of the target anti-backflow device; Determine an amplitude ratio according to a ratio of the current amplitude to the preset backflow threshold; Determine the degree of backflow according to the amplitude ratio.

4. The reverse flow prevention control method according to claim 2, characterized in that, The determining the temperature difference degree corresponding to the target anti-backflow device according to the temperature data includes: Determine a current temperature value corresponding to the target anti-backflow device when detecting the backflow state according to the temperature data; Determine the temperature difference degree according to a difference between the current temperature value and a rated temperature value of the target anti-backflow device.

5. The reverse flow prevention control method according to any one of claims 2 to 4, characterized in that, The first information further includes identification information of the target anti-backflow device, and the determining the target parameter value corresponding to the target intelligent fuse according to the degree of backflow and the temperature difference degree includes: Determine a backflow position corresponding to the target anti-backflow device according to the identification information; Determine a parameter matching table according to the backflow position, the parameter matching table including multiple sets of corresponding relationships between the degree of backflow, the temperature difference degree, and preset parameter values; Determine the target parameter value according to the degree of backflow, the temperature difference degree, and the parameter matching table.

6. The reverse flow prevention control method according to claim 1, characterized in that, After sending the control instruction carrying the target parameter value to the target anti-backflow device, the method further includes: Obtaining second information reported by the target anti-backflow device when detecting the elimination of the backflow state; Generating a reset instruction according to the second information, where the reset instruction is used to instruct the target intelligent fuse to restore the fusing parameter to the initial parameter value; Sending the reset instruction to the target anti-backflow device.

7. A photovoltaic grid-connected system, characterized in that, The photovoltaic grid-connected system includes a server and an anti-backflow control network. The anti-backflow control network includes a high-voltage bus, a medium-voltage bus, and a low-voltage bus. A high-voltage anti-backflow device is deployed between the high-voltage bus and the medium-voltage bus, and a low-voltage anti-backflow device is deployed between the medium-voltage bus and the low-voltage bus. The low-voltage bus is provided with a connection point for connecting photovoltaic devices. Intelligent fuses are deployed in both the high-voltage anti-backflow device and the low-voltage anti-backflow device. The server is communicatively connected to each of the high-voltage anti-backflow device and the low-voltage anti-backflow device, and the server is used to execute the step instructions in the method according to any one of claims 1 to 6.

8. The photovoltaic grid-connected system according to claim 7, characterized in that, The intelligent fuse includes a control module and a current acquisition module; The control module is used to communicate with the server to receive the control instruction from the server and adjust the corresponding fusing parameter according to the target parameter value carried by the control instruction; Receiving the reset instruction from the server and restoring the adjusted fusing parameter to the initial parameter value; and, The control module is further used to control the circuit to be cut off within the segmented time adjusted according to the control instruction when the backflow current exceeds the fusing current threshold adjusted according to the control instruction.

9. A reverse flow prevention control device, characterized in that, A server applied to a photovoltaic grid-connected system, the photovoltaic grid-connected system includes the server and an anti-backflow control network. The anti-backflow control network includes a high-voltage bus, a medium-voltage bus, and a low-voltage bus. A high-voltage anti-backflow device is deployed between the high-voltage bus and the medium-voltage bus, and a low-voltage anti-backflow device is deployed between the medium-voltage bus and the low-voltage bus. The low-voltage bus is provided with a connection point for connecting photovoltaic devices. Intelligent fuses are deployed in both the high-voltage anti-backflow device and the low-voltage anti-backflow device. The server is communicatively connected to each of the high-voltage anti-backflow device and the low-voltage anti-backflow device; The anti-backflow control device includes: An obtaining unit, configured to obtain first information reported by a target anti-backflow device when detecting a backflow state, where the first information includes current data and temperature data corresponding to the target anti-backflow device, and the target anti-backflow device is any one of the high-voltage anti-backflow devices or low-voltage anti-backflow devices in the anti-backflow control network; A determining unit, configured to determine a target parameter value according to the current data and the temperature data, where the target parameter value is used to represent the value corresponding to the fusing parameter, and the fusing parameter includes a fusing current threshold and a breaking time; A sending unit, configured to send a regulation instruction carrying the target parameter value to a target anti-backflow device, where the regulation instruction is used to instruct a target intelligent fuse to adjust corresponding fusing parameters according to the target parameter value, and the target intelligent fuse is the intelligent fuse deployed in the target anti-backflow device.

10. An electronic device, characterized in that, It includes 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. The programs include instructions for performing the steps in the anti-backflow control method according to any one of claims 1 to 6.

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