Photovoltaic access unit parameter configuration and issuing method and photovoltaic access unit

Abstract

The invention relates to the technical field of new energy power system intelligence, in particular to a photovoltaic access unit parameter configuration and issuing method and a photovoltaic access unit. Functionalized protocol expansion is performed on the photovoltaic access unit through a protocol plug-in architecture, and the protocol is decoupled from a core system, so that the flexibility, maintainability and expansibility are remarkably improved; and reference configuration is provided in cooperation with a dynamic learning engine, so that the adaptation speed of the inverter is improved, and high adaptability of the photovoltaic access unit in a complex scene is realized. According to the invention, a verification and error rollback mechanism is provided during issuing, a safety guarantee is provided for the photovoltaic access unit, and the influence caused by the configuration error of the photovoltaic access unit is reduced. According to the invention, the problems of slow inverter adaptation and poor protocol compatibility of the existing method are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy power system intelligence, and more specifically, to: 1. A method for parameter configuration and distribution of a photovoltaic access unit; 2. A photovoltaic access unit using this method. Background Art

[0002] In a photovoltaic grid-connected system, the photovoltaic access unit on the grid side (also known as a distributed power access unit) serves as the core monitoring device. It needs to collect real-time operating parameters such as voltage and current of the target inverter, and control the switch state or adjust the output of the target inverter through register instructions.

[0003] The existing photovoltaic access units have the following core problems and limitations when performing parameter configuration:

[0004] 1. Over-reliance on static templates: It is necessary to pre-manually define a complete register mapping, with a long adaptation period and unable to cope with scenarios where the inverter firmware is frequently upgraded.

[0005] 2. Low adaptation efficiency for unknown models: Traditional solutions rely on manually pre-defining register addresses, but there are significant differences in register addresses, data formats, etc. used by inverters from different manufacturers, resulting in more than 4 hours of time-consuming adaptation for unknown model inverters.

[0006] 3. Poor protocol compatibility: Some inverter manufacturers use non-standard communication protocols (such as Huawei FusionSolar protocol, etc.) instead of the standard Modbus communication protocol, resulting in abnormal communication with the photovoltaic access unit. Summary of the Invention

[0007] Based on this, in view of the problems of slow adaptation to inverters and poor protocol compatibility of existing methods, it is necessary to provide a method and system for parameter configuration and distribution of a photovoltaic access unit.

[0008] The present invention is implemented by the following technical solutions:

[0009] In a first aspect, the present invention discloses a method for parameter configuration and distribution of a photovoltaic access unit, including the following steps:

[0010] Step 1, determine whether the protocol supported by the target inverter is the standard Modbus communication protocol according to the product information of the target inverter;

[0011] If so, proceed to Step 2; otherwise, proceed to Step 3;

[0012] Step 2, load a private protocol conversion rule based on a protocol plug-in architecture to enable the photovoltaic access unit to complete the communication protocol adaptation with the target inverter;

[0013] Among them, the protocol plug-in architecture is set in the photovoltaic access unit; the private protocol conversion rule is the conversion relationship between the protocol supported by the target inverter and the standard Modbus communication protocol;

[0014] Step 3: According to the product information of the target inverter, use the dynamic learning engine to generate a parameter configuration template corresponding to the target inverter;

[0015] Among them, the dynamic learning engine is a trained DQN network model;

[0016] Step 4: Load the parameter configuration template into the photovoltaic access unit and replace the configuration of the photovoltaic access unit;

[0017] The photovoltaic access unit performs self-check based on the replaced configuration to verify its communication and control functions with the target inverter;

[0018] If the verification passes, it ends; otherwise, the photovoltaic access unit rolls back to the configuration before replacement.

[0019] This method for parameter configuration and distribution of the photovoltaic access unit implements the method or process according to the embodiments of the present disclosure.

[0020] In a second aspect, the present invention discloses a photovoltaic access unit, which uses the method for parameter configuration and distribution of the photovoltaic access unit disclosed in the first aspect.

[0021] This photovoltaic access unit implements the method or process according to the embodiments of the present disclosure.

[0022] In a third aspect, the present invention discloses a computer program product. When the computer program is executed by a processor, it implements the steps of the method for parameter configuration and distribution of the photovoltaic access unit disclosed in the first aspect.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] 1. The present invention expands the functional protocol of the photovoltaic access unit through the protocol plug-in architecture, decouples the protocol implementation from the core system, and significantly improves flexibility, maintainability, and scalability; and cooperates with the dynamic learning engine to provide reference configurations, improves the adaptation speed to the inverter, and realizes the high adaptability of the photovoltaic access unit in complex scenarios.

[0025] 2. The present invention provides a verification and error rollback mechanism during distribution, provides security for the photovoltaic access unit, and reduces the impact caused by configuration errors of the photovoltaic access unit. Description of the Drawings

[0026] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0027] Figure 1 It is a flowchart of a method for parameter configuration and distribution of a photovoltaic access unit in Embodiment 1 of the present invention;

[0028] Figure 2 For Figure 1 It is a flowchart of Step 2 in Detailed implementation manners

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0030] It should be noted that when a component is referred to as being "installed on" another component, it can be directly on the other component or there may also be an intermediate component. When a component is considered to be "set on" another component, it can be directly set on the other component or there may be an intermediate component at the same time. When a component is considered to be "fixed to" another component, it can be directly fixed to the other component or there may be an intermediate component at the same time.

[0031] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs. The terms used in the description of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "or / and" used herein includes any and all combinations of one or more of the related listed items.

[0032] Embodiment 1

[0033] First of all, it should be noted that Embodiment 1 of the present invention provides a photovoltaic access unit - which is a device for collecting and controlling a target inverter. Among them, the photovoltaic access unit and the target inverter are preferably communicatively connected by RS485.

[0034] Refer to Figure 1, the present invention simultaneously provides a method for parameter configuration and distribution of a photovoltaic access unit, which is applied to the above-mentioned photovoltaic access unit. The core of this method is to combine a dynamic learning engine and a protocol plug-in architecture to solve the problems raised in the background technology.

[0035] Specifically, as Figure 1 shown, a method for parameter configuration and distribution of a photovoltaic access unit includes the following steps:

[0036] Step 1, determine whether the protocol supported by the target inverter is the standard Modbus communication protocol according to the product information of the target inverter;

[0037] If so, proceed to Step 3; otherwise, proceed to Step 2.

[0038] Step 1 aims to determine whether protocol conversion is required. Generally, the product information such as the model of the target inverter will be printed on the nameplate of the target inverter, so by finding the corresponding product specification, it is possible to know the protocol supported by the target inverter - if it supports the standard Modbus communication protocol, then no protocol adaptation is required; if it does not support the standard Modbus communication protocol (for example, using a non-standard communication protocol), then protocol adaptation is required.

[0039] Step 2, based on the protocol plug-in architecture, load the private protocol conversion rules to enable the photovoltaic access unit to complete the communication protocol adaptation with the target inverter.

[0040] The protocol plug-in architecture supports and manages multiple communication protocols in a modular and pluggable manner. The core idea of the protocol plug-in architecture is to encapsulate the processing logic of different protocols into independent plug-in modules, enabling the system to dynamically load, unload, or replace protocol implementations without modifying the core framework code, which is very suitable for the usage scenario of the present invention.

[0041] Since the objects to achieve communication are the photovoltaic access unit and the target inverter, and the target inverter is already designed by the manufacturer and is not convenient to modify, generally the protocol plug-in architecture is set in the photovoltaic access unit. Specifically, the protocol plug-in architecture includes: a core framework and a plug-in manager. Among them, the core framework is the basis for basic communication and plug-in management. The core framework is provided with several plug-in interfaces for connecting standard plug-ins to the core framework. The plug-in manager is responsible for loading and unloading standard plug-ins at the plug-in interfaces. In this way, by constructing the protocol plug-in architecture within the photovoltaic access unit, the required standard plug-ins can be flexibly loaded.

[0042] Refer to Figure 2 , the following is a specific description of Step 2, which includes:

[0043] S201. Generate a protocol description file representing the private protocol conversion rules according to the protocol frame structure definition corresponding to the target inverter.

[0044] Refer to the above. Since the protocol supported by the target inverter is known, contact the corresponding manufacturer to obtain the corresponding protocol description (i.e., the protocol frame structure definition) to establish the correspondence between this protocol and the standard Modbus communication protocol - which is the conversion relationship between the protocol supported by the target inverter and the standard Modbus communication protocol, that is, the private protocol conversion rule.

[0045] Then, generate the protocol description file in a file-based manner for subsequent steps.

[0046] It should be noted that the protocol description file contains the following three contents:

[0047] 1. Protocol parsing function, which is used to convert the original byte stream of the target inverter into structured data recognizable by the photovoltaic access unit.

[0048] For example, the protocol parsing function parses the voltage value of 291V from the original byte stream {0x01, 0x23} of the target inverter.

[0049] 2. Protocol encoding function, which is used to encapsulate the register instructions sent by the photovoltaic access unit into a data frame conforming to the protocol specification of the target inverter.

[0050] For example, if the target inverter uses the Huawei FusionSolar protocol, then the protocol encoding function encodes "Adjust the output to 80%" into "A5 5A 01 06 10 00 1F 40AB CD" - which can be correctly recognized by the target inverter.

[0051] 3. Protocol verification function, which is used to verify the integrity of the data exchanged between the photovoltaic access unit and the target inverter. Generally, CRC verification or frame header and frame tail identification verification is recommended.

[0052] S202. Convert the protocol description file into a standard plug-in.

[0053] Considering the design requirements of the protocol plug-in architecture, compile the protocol description file into a dynamic library to implement the protocol parsing function, protocol encoding function, and protocol verification function, and use the dynamic library as a standard plug-in.

[0054] Among them, it is recommended to use the C language or Python language to build the dynamic library, which is generally packaged into a.so file or.dll file.

[0055] S203. Hot-deploy the standard plug-in into the protocol plug-in architecture so that the standard plug-in can be correctly called after the photovoltaic access unit is connected to the target inverter.

[0056] Specifically, S203 includes:

[0057] Load standard plugins into the plugin interface and connect them to the core framework through the plugin manager;

[0058] The standard plug-in is registered to the operating environment in the form of a dynamic library so that the target inverter and photovoltaic access unit can be called normally to parse the data.

[0059] It should be noted that since the protocol description file contains the above three core functions, the plug-in interface also defines three types of core function interfaces to ensure that the standard plug-in can be correctly connected to the core framework.

[0060] Of course, if the standard plug-in is selected incorrectly and needs to be uninstalled, you can first unregister the standard plug-in through the plug-in manager to leave the operating environment and complete the uninstallation.

[0061] The above-mentioned hot deployment method can realize protocol expansion without restarting the photovoltaic access unit, so that the photovoltaic access unit expansion can seamlessly adapt to the protocol supported by the target inverter, and the flexibility and maintainability are significantly improved.

[0062] Step three: Based on the product information of the target inverter, a dynamic learning engine is used to generate a parameter configuration template corresponding to the target inverter.

[0063] It should be emphasized that the dynamic learning engine is a trained DQN network model.

[0064] Among them, the DQN network model (Deep Q-Network) is an algorithm that combines deep learning and reinforcement learning. Its core idea is to use a neural network instead of a Q table to estimate the Q value. The present invention requires the use of a trained DQN network model, which has been trained multiple times to achieve deep learning and has the ability to find the target inverter parameters.

[0065] That is, the methods for obtaining the dynamic learning engine include:

[0066] Conduct multiple rounds of training on the DQN network model to achieve deep learning and obtain a dynamic learning engine;

[0067] Among them, the method of each round of training includes:

[0068] Input the current state of the state space into the DQN network model;

[0069] The DQN network model attempts to perform actions in the state space, then calculates the reward corresponding to the action based on the state after the action is performed, and updates the network parameters based on the reward function R through back propagation;

[0070] Among them, the DQN network model uses the ε-greedy strategy to select the action to be executed from the action space.

[0071] It should be noted that in order to improve the effect of the dynamic learning engine, the state space, action space, and reward function R need to be specially designed:

[0072] 1. The state space is a three-dimensional feature vector containing historical response patterns, and its data types include: response validity feature, numerical distribution feature, and address interval feature.

[0073] Among them, the response validity feature refers to: recording whether the responses of the last 10 scans are valid (which can be represented as a sequence using 0 or 1), and is used to judge whether the address belongs to the "active area";

[0074] The numerical distribution feature refers to: calculating the mean and variance of the register data, and judging whether it is within the reasonable range of physical quantities (generally using a preset physical quantity interval); if the value exceeds the range, it is marked as low confidence; otherwise, it is marked as high confidence.

[0075] The address interval feature refers to: dividing the complete space of the register into different functional areas. For example, if the complete space of the current register is 0x0000 - 0xFFFF, then 0x3000 - 0x3FFF is usually the voltage / current core parameter area; the rest is the other parameter area.

[0076] 2. The action space is the range of action selection, and it is generally set to the complete space of the register.

[0077] It should be noted that the ε-greedy strategy randomly selects an action in the action space with probability ε. The initial value of ε is recommended to be set to 0.3 and decays as the training progresses.

[0078] 3. The reward function R is the basis for updating the network parameters, and it is composed of three parts with weights, and the expression is:

[0079] R = α × V valid + β × V range + γ × V corr ;

[0080] In the formula, V valid represents the response validity, that is, it reflects whether the register response is valid. The calculation is as follows: if the register response is valid (the returned data is non-empty and in the correct format), a positive reward is given; otherwise, a negative reward is given.

[0081] V range represents the numerical range rationality value, that is, it reflects whether the value is within the reasonable range of physical quantities: if the value is within the reasonable range of physical quantities, a positive reward is given; otherwise, a negative reward is given.

[0082] V corr Characterize the correlation between parameters, that is, analyze the correlation between parameters such as voltage and current through covariance analysis: if the current parameter has a strong correlation with other known parameters, a positive reward is given; otherwise, a negative reward is given.

[0083] α represents the response effectiveness weight; β represents the data range rationality weight; γ represents the parameter correlation weight; α + β + γ = 1. In this Embodiment 1, the recommended weight values are assigned as follows: α = 0.6, β = 0.3, γ = 0.1.

[0084] During the training process of the DQN network model, if convergence occurs, it is considered that it has achieved deep learning and has the ability to find the target inverter parameters. Then apply it to the target inverter, autonomously explore the inverter register space, and quickly lock the core parameters - the obtained results can be used as a parameter configuration template. Compared with traditional manual adaptation, this method can shorten the time to about 15 minutes.

[0085] It should be noted that the parameter configuration module is a structured file, which is classified according to the corresponding manufacturers and models, and includes the following content:

[0086] 1. Register address mapping table; 2. Data parsing rules; 3. Control instruction set.

[0087] Step 4, load the parameter configuration template into the photovoltaic access unit and replace the configuration of the photovoltaic access unit;

[0088] The photovoltaic access unit performs self-check based on the replaced configuration to verify its communication and control functions with the target inverter;

[0089] If the verification passes, it ends; otherwise, the photovoltaic access unit rolls back to the configuration before replacement.

[0090] After being processed by Steps 1 to 3, a parameter configuration template adapted to the target inverter is obtained. Then in Step 4, it is first loaded into the photovoltaic access unit as the current configuration, and then the photovoltaic access unit is made to perform self-check to determine whether the parameter configuration template is valid.

[0091] Among them, the self-check process includes 3 parts: 1. Communication link test: Read the key register to verify the address validity; 2. Control function verification: Send a standard instruction and capture the inverter response; 3. Data parsing verification: Compare the collected value with the actual physical quantity to confirm that the scaling factor is correct.

[0092] Then, if all self-checks pass, it indicates that the verification is successful; otherwise, it indicates that the verification fails and a rollback is required - the configuration before replacement is backed up to the storage module of the PV access unit to prevent the situation where the self-check fails. In this way, even if the verification fails, the configuration of the PV access unit can be quickly restored, reducing the time when the PV access unit fails and the impact caused by configuration errors in the PV access unit.

[0093] Embodiment 2

[0094] This Embodiment 2 discloses a computer device, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the steps of the method for configuring and issuing PV access unit parameters disclosed in Embodiment 1 are implemented.

[0095] Among them, the computer device can be: a mobile terminal, a fixed terminal. The former such as: a mobile phone, a laptop computer, a digital broadcast receiver, a PDA (Personal Digital Assistant), a PAD (Portable Application Description: tablet computer), a PMP (Portable Media Player), a vehicle-mounted terminal (such as a vehicle-mounted navigation terminal), etc.; the latter such as: a digital TV, a desktop computer, etc.

[0096] This Embodiment 2 also discloses a readable storage medium. When computer program instructions stored in the readable storage medium are read and run by a processor, the steps of the method for configuring and issuing PV access unit parameters disclosed in Embodiment 1 are executed.

[0097] Among them, the readable storage medium can include but is not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM) or a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0098] This Embodiment 2 also discloses a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the method for configuring and issuing PV access unit parameters disclosed in Embodiment 1 are implemented.

[0099] It should be noted that the computer programs for executing the above can be written in one or more programming languages or combinations thereof. Among them, the programming languages include object-oriented programming languages - such as Java, Smalltalk, C++, and also include conventional procedural programming languages - such as the "C" language or similar programming languages. The above computer programs can be executed entirely on the user's computer, partially on the user's computer, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network - including a local area network (LAN: Local Area Network) or a wide area network (WAN: Wide Area Network).

[0100] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0101] The above-described embodiments only represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention patent shall be subject to the appended claims.

Claims

1. A method for parameter configuration and distribution of a photovoltaic access unit, characterized in that, It includes the following steps: Step 1: Determine whether the protocol supported by the target inverter is the standard Modbus communication protocol according to the product information of the target inverter; If so, go to Step 3; otherwise, go to Step 2; Step 2: Load the private protocol conversion rules based on the protocol plug-in architecture to enable the photovoltaic access unit to complete the communication protocol adaptation with the target inverter; Among them, the protocol plug-in architecture is set in the photovoltaic access unit; the private protocol conversion rule is the conversion relationship between the protocol supported by the target inverter and the standard Modbus communication protocol; Step 3: According to the product information of the target inverter, use the dynamic learning engine to generate a parameter configuration template corresponding to the target inverter; Among them, the dynamic learning engine is a trained DQN network model; Step 4: Load the parameter configuration template into the photovoltaic access unit and replace the configuration of the photovoltaic access unit; The photovoltaic access unit performs self-check based on the replaced configuration to verify its communication and control functions with the target inverter; If the verification passes, it ends; otherwise, the photovoltaic access unit rolls back to the configuration before replacement.

2. The method for parameter configuration and distribution of the photovoltaic access unit according to claim 1, wherein: In Step 2, the protocol plug-in architecture includes: The core framework, which serves as the basis for basic communication and plug-in management; several plug-in interfaces are set in the core framework for connecting standard plug-ins to the core framework; And The plug-in manager, which is responsible for loading and unloading standard plug-ins at the plug-in interfaces.

3. The method for parameter configuration and distribution of the photovoltaic access unit according to claim 2, wherein: In Step 2, loading the private protocol conversion rules based on the protocol plug-in architecture to enable the photovoltaic access unit to complete the communication protocol adaptation with the target inverter includes: S201: Generate a protocol description file representing the private protocol conversion rules according to the protocol frame structure definition corresponding to the target inverter; S202: Convert the protocol description file into a standard plug-in; S203: Hot-deploy the standard plug-in into the protocol plug-in architecture so that the standard plug-in can be correctly called after the photovoltaic access unit is connected to the target inverter.

4. The method for parameter configuration and distribution of the photovoltaic access unit according to claim 3, characterized in that, In S201, the protocol description file includes: The protocol parsing function, which is used to convert the original byte stream of the target inverter into structured data recognizable by the photovoltaic access unit; The protocol encoding function, which is used to encapsulate the register instructions sent by the photovoltaic access unit into data frames conforming to the protocol specifications of the target inverter; And The protocol verification function, which is used to verify the integrity of the interaction data between the photovoltaic access unit and the target inverter.

5. The method for parameter configuration and distribution of the photovoltaic access unit according to claim 4, wherein S202 includes: Compile the protocol description file into a dynamic library to implement the protocol parsing function, the protocol encoding function, and the protocol verification function, and use the dynamic library as the standard plug-in.

6. The method for parameter configuration and distribution of the photovoltaic access unit according to claim 5, wherein S203 includes: Load the standard plug-in into the plug-in interface through the plug-in manager and connect it to the core framework; The standard plug-in is registered in the running environment in the form of a dynamic library so that the target inverter and the photovoltaic access unit can normally call to parse data.

7. The method for parameter configuration and distribution of the photovoltaic access unit according to claim 1, wherein In Step 3, the acquisition method of the dynamic learning engine includes: Perform multiple rounds of training on the DQN network model to achieve deep learning and obtain the dynamic learning engine; Among them, the method of each round of training includes: Input the current state of the state space into the DQN network model; The DQN network model attempts to execute actions in the state space, calculate the rewards corresponding to the actions based on the states after the actions are executed, and update the network parameters by backpropagation based on the reward function R; Among them, the DQN network model uses the ε-greedy strategy to select the actions to be executed from the action space.

8. The method for parameter configuration and distribution of the photovoltaic access unit according to claim 7, wherein The data types of the state space include: response validity features, numerical distribution features, and address range features; The selection range of the action space is the complete space of the register; The expression of the reward function R is: R = α × V valid + β × V range + γ × V corr ; Wherein, V valid represents the response validity value; V range represents the data range rationality value; V corr represents the parameter correlation value; α represents the response validity weight; β represents the data range rationality weight; γ represents the parameter correlation weight; α + β + γ = 1.

9. A photovoltaic access unit, characterized in that, It uses the method for parameter configuration and distribution of the photovoltaic access unit described in any one of claims 1-8.

10. A computer program product comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for parameter configuration and distribution of the photovoltaic access unit described in any one of claims 1-8.

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