Photovoltaic string physical topology identification method and system based on HPLC (High Performance Liquid Chromatography) signal characteristics

Abstract

The invention relates to a photovoltaic string physical topology identification technology, and discloses a photovoltaic string physical topology identification method based on HPLC (High Performance Liquid Chromatography) signal characteristics, which comprises the following steps of: calculating RSSI (Received Signal Strength Indicator) characteristic values of neighbor nodes of a site; identifying an RSSI characteristic value of the target central coordinator; according to the RSSI characteristic value, determining the attribution of the string inverter station area of the station; after the station area attribution judgment is completed, the central coordinator starts string recognition and sends a channel characteristic value acquisition instruction to the station; after the site receives the instruction, the site is used for collecting neighbor node channel characteristic value data, and the collected channel characteristic value data is uploaded to the central coordinator; and the central coordinator summarizes the channel characteristic value data, and performs string recognition operation by using a string recognition clustering algorithm to obtain a string recognition result. The invention further provides a photovoltaic string physical topology identification system based on the HPLC signal characteristics. According to the method, the operation and maintenance efficiency of photovoltaic string physical topology identification based on HPLC signal characteristics can be improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic string physical topology identification, and in particular relates to a photovoltaic string physical topology identification method and system based on HPLC signal characteristics. Background Art

[0002] With the popularization of photovoltaic power stations, there is a strong demand for efficient operation and maintenance of power stations. Photovoltaic power stations are usually composed of string inverters and multiple photovoltaic strings, and each photovoltaic string contains multiple photovoltaic modules.

[0003] HPLC technology has been widely used in the photovoltaic field. Usually, a CCO module is installed on the string inverter and a STA module is installed on each photovoltaic module. The STA connected to the network is managed by the CCO, which is connected to the cloud control platform. Usually, the STA has the ability of remote communication, collection and control, and can collect the voltage, current and other information of the currently monitored photovoltaic modules to the cloud control platform. Among them, HPLC is high-speed power line carrier communication (High Power Line Communication); CCO is the central coordinator (Central Coordinator); STA is the station (Station).

[0004] CCO and STA couple the carrier signal to the DC power line for communication. After the CCO is powered on, it starts broadcasting the network information of the station area and waits for the STA to request networking. In the traditional solution, for scenarios with multiple string inverters, that is, when there are multiple CCO networks, it is necessary to specify the STA to access the network to the correct CCO. Generally, the STA is specified to access the network only by adding a whitelist file. This method requires manual entry of files, and the operation and maintenance efficiency is low. Summary of the invention

[0005] The present invention provides a method and system for identifying the physical topology of photovoltaic strings based on HPLC signal characteristics, which can improve the operation and maintenance efficiency of the physical topology identification of photovoltaic strings based on HPLC signal characteristics.

[0006] The meanings of the English abbreviations in the present invention are as follows: HPLC: High Power Line Communication; CCO: Central Coordinator;

[0007] STA: Station.

[0008] To achieve the above object, the present invention provides a photovoltaic string physical topology identification method based on HPLC signal characteristics, comprising:

[0009] Obtain statistical data within a preset time period using the sites under the string inverter, and calculate the RSSI characteristic value of the neighboring nodes of the sites according to the statistical data;

[0010] The site uses a string inverter area identification algorithm to identify the RSSI characteristic value of the target central coordinator and executes the network access application of the site, and retains the RSSI characteristic value of the current central coordinator;

[0011] Determine the station area of ​​the string inverter of the site according to the RSSI characteristic value of the current central coordinator and the RSSI characteristic value of the neighboring node of the site;

[0012] After completing the determination of the station area belonging to the string inverter of the site, the central coordinator of the station area starts the string identification and sends a channel feature collection instruction to the subordinate sites;

[0013] After receiving the channel characteristic value collection instruction, the station collects channel characteristic value data of neighboring nodes, and uploads the collected channel characteristic value data of neighboring nodes to the central coordinator;

[0014] The central coordinator aggregates the channel characteristic value data of the neighboring nodes, and performs a string identification operation using a string identification clustering algorithm to obtain a string identification result.

[0015] Optionally, judging the station area of ​​the string inverter of the site according to the RSSI characteristic value of the current central coordinator and the RSSI characteristic value of the neighboring node of the site includes:

[0016] The station uses beacon frame messages and discovery list frame messages to collect RSSI characteristic values ​​of neighboring nodes;

[0017] The RSSI characteristic value of a neighboring node at a lower topological level is selected as the RSSI characteristic value of the current central coordinator, and the string inverter station area affiliation of the site is determined according to the RSSI characteristic value of the current central coordinator.

[0018] Optionally, the selecting of the RSSI characteristic value of the neighboring node with a lower topological level as the RSSI characteristic value of the current central coordinator, and performing the string inverter zone affiliation judgment on the site according to the RSSI characteristic value of the current central coordinator, includes:

[0019] After the station is powered on, it starts collecting RSSI characteristic values ​​of neighboring nodes;

[0020] After the station collects the RSSI characteristic values ​​of neighboring nodes for a preset period of time, it executes the string inverter area identification algorithm, calculates the target central coordinator and applies for network access;

[0021] After the site is connected to the network, it continues to collect neighbor node information, regularly executes the string inverter area identification algorithm, and calculates the target central coordinator based on long-term historical statistical information. If the target central coordinator is not the central coordinator currently connected to the network, the abnormal area ownership information is reported to the central coordinator, and the central coordinator reports it to the cloud control platform. The operation and maintenance personnel then adjust the physical topology file based on the reported area ownership information.

[0022] Optionally, the site uses a string inverter area identification algorithm to identify the RSSI characteristic value of the target central coordinator, including:

[0023] The site collects the central coordinator network address, network topology level and RSSI characteristic value of the neighboring nodes, and counts the RSSI characteristic values ​​of the beacon frames and discovery list frames sent by all neighboring nodes at level j of network i to obtain the characteristic value set of level j of network i.

[0024] i ,j =[rssi1 rssi2 ... rssi n ], rssi n Indicates the RSSI characteristic value of the nth message frame of layer j of receiving network i.

[0025] In the R i,j Find the mean of n data and get The mean calculation method here is: i,j Sort the n data in descending order, take the first 30% of the RSSI feature values ​​as the target set and then calculate the average value.

[0026] The RSSI averages of j levels of i networks are summed up to obtain the level RSSI set.

[0027] Tiers R i,j Represents the RSSI characteristic value of the jth level of the i-th central coordinator.

[0028] Optionally, the central coordinator starts string identification, including:

[0029] The string identification algorithm is used to identify the string ownership information of all sites in the central coordinator network.

[0030] Optionally, the using a string identification clustering algorithm to perform a string identification operation to obtain a string identification result includes:

[0031] Grouping and identifying the site nodes by using the RSSI characteristic value of the high-speed power line carrier communication channel of the site;

[0032] Each of the sites collects the RSSI characteristic values ​​of the high-speed power line carrier communication channels of the neighboring nodes, and summarizes the RSSI characteristic values ​​of the high-speed power line carrier communication channels of the neighboring nodes to the central coordinator, and uses the central coordinator to calculate the distances between all sites and neighboring nodes to generate a distance matrix;

[0033] Inputting the distance matrix into a density-based clustering algorithm to obtain a cluster set;

[0034] The cluster set is grouped according to a preset neighborhood density threshold to obtain group string constituent members of a plurality of groups.

[0035] Optionally, the using the central coordinator to calculate the distances between all sites and neighboring nodes to generate a distance matrix includes:

[0036] The RSSI data matrix of N neighboring nodes of a single node at M collection points is expressed as follows:

[0037]

[0038] Map the theoretical maximum RSSI characteristic value and the RSSI characteristic value of the node into distance;

[0039] The central coordinator aggregates the distance information of all nodes to obtain the distance matrix:

[0040]

[0041] In order to solve the above problems, the present invention also provides a system for photovoltaic string physical topology identification method based on HPLC signal characteristics, the system includes a string inverter, the string inverter is connected to multiple strings, and each of the strings is connected to multiple photovoltaic modules.

[0042] Optionally, the photovoltaic assembly includes a plurality of sites, and the string inverter includes a central coordinator.

[0043] Optionally, the central coordinator performs data communication with the site, and the central coordinator performs data communication with the cloud control platform.

[0044] The present invention uses the sites under the string inverter to obtain statistical data within a preset time period, and calculates the RSSI characteristic value of the neighboring node of the site based on the statistical data, so as to accurately determine the station area of ​​the string inverter of the site and ensure that the site can be correctly connected to the network. In addition, after completing the station area attribution judgment, the central coordinator starts the string identification, collects instructions through the channel characteristic value, and uses the string identification clustering algorithm to perform the string identification operation, thereby further optimizing the string identification, which can improve the accuracy and reliability of the string identification and improve the operation and maintenance efficiency of the scene with multiple string inverters. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A schematic diagram of a process for identifying the physical topology of a photovoltaic string based on HPLC signal characteristics provided by an embodiment of the present invention;

[0046] Figure 2 A site access string area identification process of a photovoltaic string physical topology identification method based on HPLC signal characteristics provided by an embodiment of the present invention;

[0047] Figure 3 A process for identifying a photovoltaic string area after a site is connected to the grid in a photovoltaic string physical topology identification method based on HPLC signal characteristics provided by an embodiment of the present invention;

[0048] Figure 4 A schematic diagram of an algorithm for identifying channel characteristic values ​​of a photovoltaic string physical topology identification method based on HPLC signal characteristics provided by an embodiment of the present invention;

[0049] Figure 5 A flow chart of photovoltaic string identification according to an embodiment of a photovoltaic string physical topology identification method based on HPLC signal characteristics provided by an embodiment of the present invention;

[0050] Figure 6 A system structure diagram of a photovoltaic string physical topology identification method based on HPLC signal characteristics provided in one embodiment of the present invention.

[0051] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0052] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0053] The embodiment of the present application provides a method for identifying the physical topology of photovoltaic strings based on HPLC signal characteristics. The execution subject of the method for identifying the physical topology of photovoltaic strings based on HPLC signal characteristics includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for identifying the physical topology of photovoltaic strings based on HPLC signal characteristics can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can 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 networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0054] Reference Figure 1 FIG. 1 is a flow chart of a photovoltaic string physical topology identification method based on HPLC signal characteristics provided by an embodiment of the present invention. In this embodiment, the photovoltaic string physical topology identification method based on HPLC signal characteristics includes:

[0055] S1. Utilize the sites under the string inverter to obtain statistical data within a preset time period, and calculate the RSSI characteristic value of the neighboring nodes of the sites according to the statistical data.

[0056] In the embodiment of the present invention, the string inverter is the core equipment in the photovoltaic power generation system. The string inverter usually connects multiple photovoltaic panel assemblies in series into a string according to the rated input voltage requirement of the inverter, connects them to the power grid through an inverter, and performs maximum power point tracking at the DC end.

[0057] In the embodiment of the present invention, the neighbor node of the neighbor node of the site refers to a device that directly receives and transmits signals with the site, including other inverters adjacent to a specific inverter or other components in a photovoltaic power generation system.

[0058] In the embodiment of the present invention, the RSSI characteristic value refers to an indicator for measuring the strength of the wireless signal, which reflects the interference and attenuation degree of the wireless signal during the transmission process. The larger the RSSI characteristic value, the stronger the received wireless signal, and accordingly, the higher the network transmission efficiency, which helps to ensure the stability of the signal. On the contrary, if the RSSI characteristic value is small, it means that the signal is weak, which may lead to low network transmission efficiency, or even network disconnection, disconnection and other problems.

[0059] S2. The site uses a string inverter area identification algorithm to identify the RSSI characteristic value of the target central coordinator and executes the network access application of the site, and retains the RSSI characteristic value of the current central coordinator.

[0060] In the embodiment of the present invention, the identification principle of the string inverter area identification algorithm is that the RSSI characteristic value of the neighboring node in the area received by the site is significantly better than the RSSI (Received Signal Strength Indicator) characteristic value of the neighboring node in the neighboring area. Based on the topological level of the adjacent nodes and the RSSI characteristic value as the judgment basis, the site node identifies the belonging string inverter area through data statistics over a period of time.

[0061] As an embodiment of the present invention, the site uses a string inverter area identification algorithm to identify the RSSI characteristic value of the target central coordinator, including:

[0062] The site collects the central coordinator network address, network topology level and RSSI characteristic value of the neighboring nodes, and counts the RSSI characteristic values ​​of the beacon frames and discovery list frames sent by all neighboring nodes at level j of network i to obtain the characteristic value set of level j of network i.

[0063] R i,j =[rssi1 rssi2 ... rssi n ], rssi n Indicates the RSSI characteristic value of the nth message frame of layer j of receiving network i.

[0064] In the R i,j Find the mean of n data and get The mean calculation method here is: i,j Sort the n data in descending order, take the first 30% of the RSSI feature values ​​as the target set and then calculate the average value.

[0065] The RSSI averages of j levels of i networks are summed up to obtain the level RSSI set.

[0066] In the embodiment of the present invention, the network refers to an HPLC (High Power Line Communication) network, wherein the HPLC network is a tree topology network with a topology level range (0-15 levels). After the central coordinator is powered on, it starts to send beacon frames and discovery list frames on the HPLC channel for network neighbor discovery and maintenance, waiting for sites to enter the network. After the sites enter the network, they will also send beacon frames and discovery list frames, wherein the beacon frames and discovery list frames contain network parameter information such as the central coordinator network address, site address, site topology level, etc., which are unique for identifying the network.

[0067] S3. Determine the station area to which the string inverter of the site belongs according to the RSSI characteristic value of the current central coordinator and the RSSI characteristic value of the neighboring node of the site.

[0068] As an embodiment of the present invention, the step of determining the station area of ​​the string inverter of the station according to the RSSI characteristic value of the current central coordinator and the RSSI characteristic value of the neighboring node of the station includes:

[0069] The station uses beacon frame messages and discovery list frame messages to collect RSSI characteristic values ​​of neighboring nodes;

[0070] The RSSI characteristic value of a neighboring node at a lower topological level is selected as the RSSI characteristic value of the current central coordinator, and the string inverter station area affiliation of the site is determined according to the RSSI characteristic value of the current central coordinator.

[0071] In the embodiment of the present invention, the beacon frame is a special management frame used to maintain network synchronization and transmit network related information in high-speed power line carrier communication.

[0072] In the embodiment of the present invention, the discovery list frame can discover and identify other devices or networks in high-speed power line carrier communication, and the device scans and selects a network by sending a probe request frame and receiving a probe response frame.

[0073] Further, the RSSI characteristic value of the neighboring node with a lower topological level is selected as the RSSI characteristic value of the current central coordinator, and the string inverter station area attribution judgment of the site is performed according to the RSSI characteristic value of the current central coordinator, including:

[0074] After the station is powered on, it starts collecting RSSI characteristic values ​​of neighboring nodes;

[0075] After the station collects the RSSI characteristic values ​​of neighboring nodes for a preset period of time, it executes the string inverter area identification algorithm, calculates the target central coordinator and applies for network access;

[0076] After the site is connected to the network, it continues to collect neighbor node information, regularly executes the string inverter area identification algorithm, and calculates the target central coordinator based on long-term historical statistical information. If the target central coordinator is not the central coordinator currently connected to the network, the abnormal area ownership information is reported to the central coordinator, and the central coordinator reports it to the cloud control platform. The operation and maintenance personnel then adjust the physical topology file based on the reported area ownership information.

[0077] In an embodiment of the present invention, the judgment condition for judging the superiority of the central coordinator network is: the network with a lower topological level wins, for example, the hierarchical RSSI characteristic value of network A is: the RSSI characteristic value of level 0 is invalid, the RSSI characteristic value of level 1 is 10, and the RSSI characteristic value of level 2 is 1; the hierarchical RSSI characteristic value of network B is: the RSSI characteristic values ​​of levels 0 and 1 are invalid, and the RSSI characteristic value of level 2 is 1; then, according to the judgment condition, the lowest valid level of network A is 1, and the lowest valid level of network B is 2, the level of network A is lower, and network A wins. When the topological levels are the same, the network with the higher RSSI characteristic value wins. For example, the hierarchical RSSI characteristic value of network A is: the RSSI characteristic value of level 0 is invalid, the RSSI characteristic value of level 1 is 10, and the RSSI characteristic value of level 2 is 1; the hierarchical RSSI characteristic value of network B is: the RSSI characteristic value of level 0 is invalid, and the RSSI characteristic value of level 1 is 20; then, according to the judgment conditions, the lowest levels of networks A and B are the same, the RSSI characteristic value of network B is higher, and network B wins.

[0078] S4. After completing the determination of the zone affiliation of the string inverters of the site, the central coordinator of the zone starts string identification and sends a channel feature collection instruction to the subordinate sites.

[0079] In the embodiment of the present invention, the channel characteristic value refers to the RSSI characteristic value of the HPLC network.

[0080] As an embodiment of the present invention, the central coordinator starts string identification, including:

[0081] The string identification algorithm is used to identify the string ownership information of all sites in the central coordinator network.

[0082] S5. After receiving the channel characteristic value collection instruction, the station collects channel characteristic value data of neighboring nodes, and uploads the collected channel characteristic value data of neighboring nodes to the central coordinator.

[0083] S6. The central coordinator aggregates the channel characteristic value data of the neighboring nodes, and performs a string identification operation using a string identification clustering algorithm to obtain a string identification result.

[0084] In an embodiment of the present invention, the group string identification clustering algorithm refers to a density-based OPTICS clustering algorithm, wherein the OPTICS algorithm extracts the clustering structure of a data set by creating an ordered list of points, called a reachability plot, and each point in the reachability plot is associated with a reachability distance, which measures the difficulty of reaching the point from other points.

[0085] As an embodiment of the present invention, the string identification operation is performed using a string identification clustering algorithm to obtain a string identification result, including:

[0086] Grouping and identifying the site nodes by using the RSSI characteristic value of the high-speed power line carrier communication channel of the site;

[0087] Each of the sites collects the RSSI characteristic values ​​of the high-speed power line carrier communication channels of the neighboring nodes, and summarizes the RSSI characteristic values ​​of the high-speed power line carrier communication channels of the neighboring nodes to the central coordinator, and uses the central coordinator to calculate the distances between all sites and neighboring nodes to generate a distance matrix;

[0088] Inputting the distance matrix into a density-based clustering algorithm to obtain a cluster set;

[0089] The cluster set is grouped according to a preset neighborhood density threshold to obtain a plurality of group string recognition results.

[0090] Further, the using the central coordinator to calculate the distances between all sites and neighboring nodes to generate a distance matrix includes:

[0091] The RSSI data matrix of N neighboring nodes of a single node at M collection points is expressed as follows:

[0092]

[0093] Map the theoretical maximum RSSI characteristic value and the RSSI characteristic value of the node into distance;

[0094] The central coordinator aggregates the distance information of all nodes to obtain the distance matrix:

[0095]

[0096] The embodiment of the present invention uses the sites under the string inverter to obtain statistical data within a preset time period, and calculates the RSSI characteristic value of the neighbor node of the site based on the statistical data, so as to accurately determine the station area of ​​the string inverter of the site and ensure that the site can be correctly connected to the network. In addition, after completing the station area attribution judgment, the central coordinator starts the string identification, collects instructions through the channel characteristic value, and uses the string identification clustering algorithm to perform the string identification operation, thereby further optimizing the string identification, which can improve the accuracy and reliability of the string identification and improve the operation and maintenance efficiency of the scenario with multiple string inverters.

[0097] Reference Figure 2 As shown, the site access string area identification process of the photovoltaic string physical topology identification method based on HPLC signal characteristics provided by an embodiment of the present invention.

[0098] Reference Figure 3 As shown, it is a process of identifying the string area after a site is connected to the grid in a photovoltaic string physical topology identification method based on HPLC signal characteristics provided by an embodiment of the present invention.

[0099] Reference Figure 4 , which is a schematic diagram of an algorithm for identifying channel characteristic values ​​of a photovoltaic string physical topology identification method based on HPLC signal characteristics provided by an embodiment of the present invention.

[0100] Reference Figure 5 , which is a flow chart of photovoltaic string identification according to an embodiment of a photovoltaic string physical topology identification method based on HPLC signal characteristics provided by an embodiment of the present invention.

[0101] Reference Figure 6 , which is a system structure diagram of a photovoltaic string physical topology identification method based on HPLC signal characteristics provided by an embodiment of the present invention.

[0102] As an embodiment of the present invention, the system includes a string inverter, the string inverter is connected to a plurality of strings, and each of the strings is connected to a plurality of photovoltaic modules.

[0103] The photovoltaic assembly includes a plurality of sites, and the string inverter includes a central coordinator.

[0104] The central coordinator performs data communication with the site, and the central coordinator performs data communication with the cloud control platform.

[0105] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0106] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0107] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0108] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0109] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0110] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0111] The blockchain referred to in this invention is a new application mode of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanism, encryption algorithm, etc. Blockchain is essentially a decentralized database, a string of data blocks generated by cryptographic methods. Each data block contains a batch of network transaction information, which is used to verify the validity of its information (anti-counterfeiting) and generate the next block. Blockchain can include the underlying blockchain platform, platform product service layer, and application service layer.

[0112] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0113] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices stated in the system claim can also be implemented by one unit or device through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

[0114] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for identifying the physical topology of photovoltaic strings based on HPLC signal characteristics, characterized in that: The method comprises: Obtain statistical data within a preset time period using the sites under the string inverter, and calculate the RSSI characteristic value of the neighboring nodes of the sites according to the statistical data; The site uses a string inverter area identification algorithm to identify the RSSI characteristic value of the target central coordinator and executes the network access application of the site, and retains the RSSI characteristic value of the current central coordinator; Determine the station area of ​​the string inverter of the site according to the RSSI characteristic value of the current central coordinator and the RSSI characteristic value of the neighboring node of the site; After completing the determination of the station area belonging to the string inverter of the site, the central coordinator of the station area starts the string identification and sends a channel characteristic value collection instruction to the subordinate sites; After receiving the channel characteristic value collection instruction, the station collects channel characteristic value data of neighboring nodes, and uploads the collected channel characteristic value data of neighboring nodes to the central coordinator; The central coordinator aggregates the channel characteristic value data of the neighboring nodes, and performs a string identification operation using a string identification clustering algorithm to obtain a string identification result.

2. The photovoltaic string physical topology identification method based on HPLC signal characteristics according to claim 1, characterized in that: The determining the station area of ​​the string inverter of the site according to the RSSI characteristic value of the current central coordinator and the RSSI characteristic value of the neighboring node of the site includes: The station uses beacon frame messages and discovery list frame messages to collect RSSI characteristic values ​​of neighboring nodes; The RSSI characteristic value of a neighboring node at a lower topological level is selected as the RSSI characteristic value of the current central coordinator, and the string inverter station area affiliation of the site is determined according to the RSSI characteristic value of the current central coordinator.

3. The photovoltaic string physical topology identification method based on HPLC signal characteristics according to claim 2, characterized in that: The step of selecting the RSSI characteristic value of a neighboring node with a lower topological level as the RSSI characteristic value of the current central coordinator, and determining the belongingness of the string inverter station area of ​​the site according to the RSSI characteristic value of the current central coordinator, includes: After the station is powered on, it starts collecting RSSI characteristic values ​​of neighboring nodes; After the station collects the RSSI characteristic values ​​of neighboring nodes for a preset period of time, it executes the string inverter area identification algorithm, calculates the target central coordinator and applies for network access; After the site is connected to the network, it continues to collect neighbor node information and regularly executes the string inverter area identification algorithm to calculate the target central coordinator. If the target central coordinator is not the central coordinator currently connected to the network, the abnormal area ownership information is reported to the central coordinator, and the central coordinator reports it to the cloud control platform. The operation and maintenance personnel then adjust the physical topology file based on the reported area ownership information.

4. The photovoltaic string physical topology identification method based on HPLC signal characteristics according to claim 1, characterized in that: The site uses a string inverter area identification algorithm to identify the RSSI characteristic value of the target central coordinator, including: The station collects the central coordinator network address, network topology level and RSSI characteristic value of the neighboring nodes, and counts the RSSI characteristic values ​​of the beacon frames and discovery list frames sent by all neighboring nodes at level j of network i to obtain the characteristic value set of level j of network i; R i,j =[rssi1 rssi2 ... rssi n ], rssi n Indicates the RSSI characteristic value of the nth message frame of the layer j of the receiving network i; In the R i,j Find the mean of n data and get The mean calculation method here is: i,j Sort the n data in descending order, take the first 30% of RSSI feature values ​​as the target set and then calculate the average value; Sum up the RSSI averages of j levels of i networks to get the level RSSI set; R i,j Represents the RSSI characteristic value of the jth level of the i-th central coordinator.

5. The photovoltaic string physical topology identification method based on HPLC signal characteristics according to claim 1, characterized in that: The central coordinator starts string identification, including: The string identification algorithm is used to identify the string ownership information of all sites in the central coordinator network.

6. The photovoltaic string physical topology identification method based on HPLC signal characteristics according to claim 1, characterized in that: The string identification clustering algorithm is used to perform a string identification operation to obtain a string identification result, including: Grouping and identifying the site nodes by using the RSSI characteristic value of the high-speed power line carrier communication channel of the site; Each of the sites collects RSSI characteristic values ​​of the high-speed power line carrier communication channels of neighboring nodes, and aggregates the RSSI characteristic values ​​of the high-speed power line carrier communication channels of the neighboring nodes to the central coordinator, and uses the central coordinator to calculate the distances between all sites and neighboring nodes to generate a distance matrix; Inputting the distance matrix into a density-based clustering algorithm to obtain a cluster set; The cluster set is grouped according to a preset neighborhood density threshold to obtain group string constituent members of a plurality of groups.

7. The method for identifying the physical topology of photovoltaic strings based on HPLC signal characteristics according to claim 6, characterized in that: The central coordinator is used to calculate the distances between all sites and neighboring nodes to generate a distance matrix, including: The RSSI data matrix of N neighboring nodes of a single node at M collection points is expressed as follows: Map the theoretical maximum RSSI characteristic value and the RSSI characteristic value of the node into distance; The central coordinator aggregates the distance information of all nodes to obtain the distance matrix:

8. A system based on a photovoltaic string physical topology identification method based on HPLC signal characteristics as claimed in any one of claims 1 to 7, characterized in that: The system comprises a string inverter, wherein the string inverter is connected to a plurality of strings, and each of the strings is connected to a plurality of photovoltaic modules.

9. The system of photovoltaic string physical topology identification method based on HPLC signal characteristics according to claim 8, characterized in that: The photovoltaic assembly includes a plurality of sites, and the string inverter includes a central coordinator.

10. The system of photovoltaic string physical topology identification method based on HPLC signal characteristics according to claim 9, characterized in that: The central coordinator performs data communication with the site, and the central coordinator performs data communication with the cloud control platform.

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