Virtual power plant gateway equipment remote signaling data conversion and processing system and method

Abstract

The invention relates to a virtual power plant gateway equipment remote signaling data conversion and processing system and method, and the system comprises a data collection module which is responsible for collecting original remote signaling data in real time from a sensor, an intelligent instrument and gateway equipment of distributed resources; the protocol conversion module is internally provided with a plurality of communication protocol parsers in the system and is used for converting the collected original remote signaling data into a uniform data format; the data processing module is used for cleaning, checking and compressing the converted data; the data encryption module is used for encrypting the acquired data by using a communication encryption technology; the data transmission module is used for transmitting the processed remote signaling data to the management platform module by using a communication technology; and the management platform module is used for receiving, storing and analyzing the remote signaling data and providing an optimal decision for scheduling and control of the virtual power plant.

Description

Technical Field

[0001] The present invention relates to the technical field of power management and data transmission, and in particular to a system and method for converting and processing remote signaling data of a virtual power plant gateway device. Background Art

[0002] The virtual power plant intelligent control terminal and gateway equipment use a variety of advanced technologies in remote signaling data processing, including sensors and intelligent instruments, protocol conversion modules, communication network technology, data encryption and protection, cloud computing and big data technology, etc. The application of these technologies enables the virtual power plant system to achieve real-time monitoring, accurate prediction and optimized scheduling of distributed resources, providing a strong guarantee for the safe and stable operation of the power system.

[0003] Although significant progress has been made in the remote signaling data processing of the virtual power plant intelligent control terminal and gateway equipment, there are still some technical problems and defects. These problems and defects are mainly reflected in the following aspects: First, data acquisition problems: the sensor accuracy is not high enough and the stability is insufficient, and the compatibility of the equipment is not enough. Second, the data conversion protocol is complex, data transmission delays and packet loss, and there are security risks in the data transmission process. Third, the data processing capacity is limited and the data analysis depth is insufficient.

[0004] The prior art CN114462372A data acquisition method, device, equipment and storage medium disclose receiving first power grid data from a first power grid among multiple power grids, wherein the data format of the first power grid data is a first format; determining to call a first template corresponding to the first power grid among multiple templates according to label names corresponding to multiple templates; based on the first template, converting the first power grid data from the first format into a target format readable by a virtual power plant to obtain the first power grid data in the target format.

[0005] In the prior art, the collected power grid data in different formats are converted into data formats that can be used by virtual power plants by calling different templates. However, there are still differences between the converted data formats. This makes it impossible to guarantee the quality of the data and the efficiency is low when performing data mining and data analysis. Summary of the invention

[0006] In order to solve the above problems existing in the prior art, the present invention proposes a remote signaling data conversion and processing system and method for a virtual power plant gateway device.

[0007] The technical solution of the present invention is as follows:

[0008] On the one hand, the present invention proposes a virtual power plant gateway device remote signaling data conversion and processing system, comprising:

[0009] The data acquisition module is responsible for collecting raw telemetering data from distributed resource sensors, smart meters, and gateway devices in real time;

[0010] The protocol conversion module has multiple communication protocol parsers built into the system to convert the collected original remote signaling data into a unified data format;

[0011] The data processing module cleans, verifies and compresses the converted data;

[0012] Data encryption module, which uses communication encryption technology to encrypt the collected data;

[0013] Data transmission module, which uses communication technology to transmit the processed remote signaling data to the management platform module;

[0014] The management platform module receives, stores and analyzes remote signaling data to provide optimal decisions for the scheduling and control of virtual power plants.

[0015] As a preferred implementation, the built-in multiple communication protocol parsers include Wireshark, tcpdump, Snort, Fiddler, Modbus Poll and Kepware; in the step of converting the collected original telesignaling data into a unified data format, different data conversion logics are used to convert different original telesignaling data into the same data format, and the data conversion logic includes field mapping, data type conversion and timestamp processing.

[0016] As a preferred implementation, the communication encryption technology used to encrypt the collected data includes AES symmetric encryption algorithm, RSA asymmetric encryption algorithm, TLS and SSL encryption algorithms, and elliptic curve encryption algorithm.

[0017] As a preferred implementation, the communication technology in the step of using communication technology to transmit the processed remote signaling data to the management platform module includes Transmission Control Protocol / Internet Protocol, User Datagram Protocol, Hypertext Transfer Protocol / Secure Hypertext Transfer Protocol, File Transfer Protocol / Secure File Transfer Protocol, Secure File Transfer Protocol, Secure Copy Protocol, Electronic Data Interchange and Border Gateway Protocol.

[0018] As a preferred implementation, the steps of receiving, storing and analyzing telesignaling data to provide optimal decision-making for the scheduling and control of the virtual power plant are as follows:

[0019] Through pre-trained convolutional neural networks, recurrent neural networks and generative adversarial networks, the optimal power plant dispatching and control scheme is predicted and generated based on the collected telesignaling data within a preset time range.

[0020] On the other hand, the present invention proposes a method for converting and processing remote signaling data of a virtual power plant gateway device, the specific steps of which include:

[0021] Collect raw telemetry data in real time from sensors, smart meters and gateway devices of distributed resources;

[0022] A variety of communication protocol parsers are built into the system to convert the collected original remote signaling data into a unified data format;

[0023] Clean, verify and compress the converted data;

[0024] Use communication encryption technology to encrypt the collected data;

[0025] Use communication technology to transmit the processed remote signaling data to the management platform module;

[0026] Receive, store and analyze remote signaling data to provide optimal decisions for the scheduling and control of virtual power plants.

[0027] As a preferred implementation, the built-in multiple communication protocol parsers include Wireshark, tcpdump, Snort, Fiddler, Modbus Poll and Kepware; in the step of converting the collected original telesignaling data into a unified data format, different data conversion logics are used to convert different original telesignaling data into the same data format, and the data conversion logic includes field mapping, data type conversion and timestamp processing.

[0028] As a preferred implementation, the communication encryption technology used to encrypt the collected data includes AES symmetric encryption algorithm, RSA asymmetric encryption algorithm, TLS and SSL encryption algorithms, and elliptic curve encryption algorithm.

[0029] As a preferred implementation, the communication technology in the step of using communication technology to transmit the processed remote signaling data to the management platform module includes Transmission Control Protocol / Internet Protocol, User Datagram Protocol, Hypertext Transfer Protocol / Secure Hypertext Transfer Protocol, File Transfer Protocol / Secure File Transfer Protocol, Secure File Transfer Protocol, Secure Copy Protocol, Electronic Data Interchange and Border Gateway Protocol.

[0030] As a preferred implementation, the steps of receiving, storing and analyzing telesignaling data to provide optimal decision-making for the scheduling and control of the virtual power plant are as follows:

[0031] Through pre-trained convolutional neural networks, recurrent neural networks and generative adversarial networks, the optimal power plant dispatching and control scheme is predicted and generated based on the collected telesignaling data within a preset time range.

[0032] The present invention has the following beneficial effects:

[0033] 1. The present invention can convert device data from different manufacturers and using different communication protocols into a unified format through built-in multiple communication protocol parsers and conversion modules, effectively solving the problem of data heterogeneity and realizing data interconnection and interoperability.

[0034] 2. The present invention adopts advanced encryption technology and security protection measures to ensure the security of remote signaling data during transmission and prevent the data from being illegally intercepted or tampered with, thereby ensuring the overall safe and stable operation of the virtual power plant system.

[0035] 3. The present invention utilizes different data conversion logics to process the collected initial telesignaling data, thereby ensuring the accuracy of the data and enabling the virtual power plant to respond quickly to changes in distributed resources and perform precise scheduling and control.

[0036] 4. The present invention uses a variety of deep learning methods and mines and analyzes data based on real-time data, which can provide accurate data support and scientific basis for the scheduling and control of virtual power plants, help optimize the operating strategies of virtual power plants, and improve overall performance and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] It should be understood that the step numbers used in this document are only for convenience of description and are not intended to limit the order in which the steps are executed.

[0040] It should be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0041] The terms “include” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0042] The term "and / or" means and includes any and all possible combinations of one or more of the associated listed items.

[0043] Embodiment 1:

[0044] See also Figure 1 , the remote signal data conversion and processing system of the virtual power plant gateway equipment includes:

[0045] The data acquisition module is responsible for collecting raw telemetering data from distributed resource sensors, smart meters, and gateway devices in real time;

[0046] The protocol conversion module has multiple communication protocol parsers built into the system to convert the collected original remote signaling data into a unified data format;

[0047] The data processing module cleans, verifies and compresses the converted data;

[0048] Data encryption module, which uses communication encryption technology to encrypt the collected data;

[0049] Data transmission module, which uses communication technology to transmit the processed remote signaling data to the management platform module;

[0050] The management platform module receives, stores and analyzes remote signaling data to provide optimal decisions for the scheduling and control of virtual power plants.

[0051] As a preferred implementation manner of this example, the built-in multiple communication protocol parsers include Wireshark, tcpdump, Snort, Fiddler, Modbus Poll and Kepware; in the step of converting the collected original telesignaling data into a unified data format, different data conversion logics are used to convert different original telesignaling data into the same data format, and the data conversion logic includes field mapping, data type conversion and timestamp processing.

[0052] In this embodiment, the characteristics and application scenarios of various communication protocol parsers are as follows:

[0053] Wireshark

[0054] Features:

[0055] Open source: free to use, with strong community support.

[0056] Supports a wide range of protocols: supports hundreds of network protocols, such as TCP / IP, HTTP, FTP, DNS, etc.

[0057] Real-time capture and analysis: Supports real-time capture of network packets and analysis.

[0058] Graphical interface: Provides an intuitive graphical user interface for easy operation and data viewing.

[0059] Application scenarios:

[0060] Network troubleshooting

[0061] Network Security Analysis

[0062] Protocol development and testing

[0063] tcpdump

[0064] Features:

[0065] Command line tool: suitable for use in servers and embedded systems.

[0066] Lightweight: It takes up few resources and is suitable for environments with limited resources.

[0067] Powerful filtering function: supports packet filtering using BPF (Berkeley Packet Filter).

[0068] Application scenarios:

[0069] Network Monitoring

[0070] Packet capture and analysis

[0071] Script Automation

[0072] Snort

[0073] Features:

[0074] Open source network intrusion detection system (IDS): has powerful protocol parsing and traffic analysis capabilities.

[0075] Real-time alarm: Support real-time detection and alarm mechanism.

[0076] Flexible rule engine: Users can customize detection rules.

[0077] Application scenarios:

[0078] Network security monitoring

[0079] Intrusion Detection and Prevention

[0080] Traffic Analysis

[0081] Fiddler

[0082] Features:

[0083] HTTP / HTTPS traffic analysis: mainly used to debug and analyze web traffic.

[0084] Graphical User Interface: Provides an intuitive graphical user interface.

[0085] Extensibility: Supports plug-ins and script extensions.

[0086] Application scenarios:

[0087] Web Development and Testing

[0088] API Debugging

[0089] HTTP Performance Analysis

[0090] Modbus Poll

[0091] Features:

[0092] Modbus protocol simulation and debugging tool: supports Modbus RTU and Modbus TCP protocols.

[0093] Easy to use: Provides an intuitive user interface for easy configuration and debugging.

[0094] Application scenarios:

[0095] Industrial automation equipment debugging

[0096] Modbus protocol development and testing

[0097] Kepware

[0098] Features:

[0099] Industrial automation communication platform: supports multiple industrial protocols, such as OPC UA, Modbus, Profibus, etc.

[0100] Centralized management: Provides centralized data collection and management functions.

[0101] Application scenarios:

[0102] Industrial control system integration

[0103] Data collection and monitoring

[0104] Industrial Internet of Things (IIoT)

[0105] The various data conversion logic methods are as follows:

[0106] Field mapping: Map the fields in different protocols to the corresponding fields in the unified data format.

[0107] Data type conversion: handles data type differences in different protocols, such as converting hexadecimal data to decimal, or converting between different precisions.

[0108] Timestamp processing: unify the timestamp format to ensure the temporal consistency of data.

[0109] As a preferred implementation manner of this embodiment, the communication encryption technology used to encrypt the collected data includes AES symmetric encryption algorithm, RSA asymmetric encryption algorithm, TLS and SSL encryption algorithms, and elliptic curve encryption algorithm.

[0110] In this embodiment, the characteristics, working principles and application scenarios of various communication encryption technologies are as follows:

[0111] TLS / SSL (Transport Layer Security / Secure Sockets Layer)

[0112] Purpose: Used to establish a secure connection between the client and the server.

[0113] How it works: Protects data by encrypting data transmission, verifying server identity, and ensuring data integrity.

[0114] Application scenarios: HTTPS, email encryption, VPN, etc.

[0115] AES (Advanced Encryption Standard)

[0116] Purpose: Symmetric encryption, used to encrypt and decrypt data.

[0117] How it works: Data is encrypted and decrypted using a fixed-size key (128, 192, or 256 bits).

[0118] Application scenarios: file encryption, database encryption, network communication, etc.

[0119] RSA (Rivest-Shamir-Adleman)

[0120] Purpose: Asymmetric encryption, used for encryption, decryption and digital signature.

[0121] How it works: A pair of keys (public key and private key) is used for encryption and decryption. The public key is used for encryption and the private key is used for decryption.

[0122] Application scenarios: secure email, SSL / TLS, digital signatures, etc.

[0123] ECC (Elliptic Curve Cryptography)

[0124] Purpose: Asymmetric encryption, used for encryption, decryption and digital signature.

[0125] How it works: Based on elliptic curve math problems, provides the same security as RSA but uses shorter keys.

[0126] Application scenarios: mobile devices, cloud services, IoT devices, etc.

[0127] As a preferred implementation manner of this embodiment, the communication technology in the step of using communication technology to transmit the processed remote signal data to the management platform module includes Transmission Control Protocol / Internet Protocol, User Datagram Protocol, Hypertext Transfer Protocol / Secure Hypertext Transfer Protocol, File Transfer Protocol / Secure File Transfer Protocol, Secure File Transfer Protocol, Secure Copy Protocol, Electronic Data Interchange and Border Gateway Protocol.

[0128] In this embodiment, the characteristics and application scenarios of various communication technologies are as follows:

[0129] TCP / IP (Transmission Control Protocol / Internet Protocol)

[0130] Features: TCP / IP is the basic protocol of the Internet, providing reliable data transmission services. TCP is responsible for data segmentation, sorting and retransmission to ensure data integrity; IP is responsible for the routing and transmission of data packets.

[0131] Application scenarios: Web browsing, email, file transfer, remote login, etc.

[0132] UDP (User Datagram Protocol)

[0133] Features: UDP is a connectionless transmission protocol that does not provide data packet retransmission, sequencing, and congestion control. It has low latency and high transmission speed.

[0134] Application scenarios: real-time audio and video transmission, online games, DNS queries, IP telephony, etc.

[0135] HTTP / HTTPS (Hypertext Transfer Protocol / Secure Hypertext Transfer Protocol)

[0136] Features: HTTP is an application layer protocol based on TCP, used to transmit data between web browsers and web servers. HTTPS encrypts data through SSL or TLS protocol to ensure the security of data transmission.

[0137] Application scenarios: Web browsing, API communication, file downloading, e-commerce, etc.

[0138] FTP / FTPS (File Transfer Protocol / Secure File Transfer Protocol)

[0139] Features: FTP is used to transfer files on the Internet, supporting upload and download. FTPS encrypts data through SSL or TLS protocol and provides secure file transfer services.

[0140] Application scenarios: file sharing, data backup, software distribution, etc.

[0141] SFTP (Secure File Transfer Protocol)

[0142] Features: SFTP is based on the SSH protocol, provides encrypted file transfer services, and supports file upload, download, delete, rename and other operations.

[0143] Application scenarios: remote file management, data synchronization, cloud storage, etc.

[0144] SCP (Secure Copy Protocol)

[0145] Features: SCP is based on the SSH protocol and provides encrypted file transfer services, which is suitable for file transfer in a command line environment.

[0146] Application scenarios: remote file transfer, automated scripts, system management, etc.

[0147] EDI (Electronic Data Interchange)

[0148] Features: EDI is used to transmit structured data between different organizations, supports standardized data formats and protocols, and improves the efficiency and accuracy of data exchange.

[0149] Application scenarios: supply chain management, trading partner communications, logistics information exchange, etc.

[0150] BGP (Border Gateway Protocol)

[0151] Features: BGP is used to exchange routing information between different autonomous systems to implement Internet routing selection and traffic control, and has high reliability and scalability.

[0152] Application scenarios: Internet backbone network, cloud service providers, enterprise networks, etc.

[0153] As a preferred implementation of this embodiment, the steps of receiving, storing and analyzing telesignaling data to provide optimal decision-making for the scheduling and control of the virtual power plant are specifically as follows:

[0154] Through pre-trained convolutional neural networks, recurrent neural networks and generative adversarial networks, the optimal power plant dispatching and control scheme is predicted and generated based on the collected telesignaling data within a preset time range.

[0155] In this embodiment, in addition to deep learning methods such as convolutional neural networks, recurrent neural networks, and generative adversarial networks for data analysis, other machine learning methods can also be used, such as linear regression, decision tree, support vector machine, random forest, neural network and other data analysis methods. At the same time, data analysis can also be performed using association rule mining methods and cluster analysis methods. When selecting a data analysis method, it is necessary to proceed according to the actual situation, such as the size of the data and the degree of correlation between the data.

[0156] Embodiment 2:

[0157] The virtual power plant gateway device remote signaling data conversion and processing method includes the following specific steps:

[0158] Collect raw telemetry data in real time from sensors, smart meters and gateway devices of distributed resources;

[0159] A variety of communication protocol parsers are built into the system to convert the collected original remote signaling data into a unified data format;

[0160] Clean, verify and compress the converted data;

[0161] Use communication encryption technology to encrypt the collected data;

[0162] Use communication technology to transmit the processed remote signaling data to the management platform module;

[0163] Receive, store and analyze remote signaling data to provide optimal decisions for the scheduling and control of virtual power plants.

[0164] As a preferred implementation mode of this embodiment, the built-in multiple communication protocol parsers include Wireshark, tcpdump, Snort, Fiddler, Modbus Poll and Kepware; in the step of converting the collected original telesignaling data into a unified data format, different data conversion logics are used to convert different original telesignaling data into the same data format, and the data conversion logic includes field mapping, data type conversion and timestamp processing.

[0165] As a preferred implementation manner of this embodiment, the communication encryption technology used to encrypt the collected data includes AES symmetric encryption algorithm, RSA asymmetric encryption algorithm, TLS and SSL encryption algorithms, and elliptic curve encryption algorithm.

[0166] As a preferred implementation manner of this embodiment, the communication technology in the step of using communication technology to transmit the processed remote signal data to the management platform module includes Transmission Control Protocol / Internet Protocol, User Datagram Protocol, Hypertext Transfer Protocol / Secure Hypertext Transfer Protocol, File Transfer Protocol / Secure File Transfer Protocol, Secure File Transfer Protocol, Secure Copy Protocol, Electronic Data Interchange and Border Gateway Protocol.

[0167] As a preferred implementation of this embodiment, the steps of receiving, storing and analyzing telesignaling data to provide optimal decision-making for the scheduling and control of the virtual power plant are specifically as follows:

[0168] Through pre-trained convolutional neural networks, recurrent neural networks and generative adversarial networks, the optimal power plant dispatching and control scheme is predicted and generated based on the collected telesignaling data within a preset time range.

[0169] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. Virtual power plant gateway equipment remote signal data conversion and processing system, characterized by: include: The data acquisition module is responsible for collecting raw telemetering data from distributed resource sensors, smart meters, and gateway devices in real time; The protocol conversion module has multiple communication protocol parsers built into the system to convert the collected original remote signaling data into a unified data format; The data processing module cleans, verifies and compresses the converted data; Data encryption module, which uses communication encryption technology to encrypt the collected data; Data transmission module, which uses communication technology to transmit the processed remote signaling data to the management platform module; The management platform module receives, stores and analyzes remote signaling data to provide optimal decisions for the scheduling and control of virtual power plants.

2. The remote signaling data conversion and processing system for virtual power plant gateway equipment according to claim 1 is characterized in that: The built-in multiple communication protocol parsers include Wireshark, tcpdump, Snort, Fiddler, Modbus Poll and Kepware; in the step of converting the collected original telesignaling data into a unified data format, different data conversion logics are used to convert different original telesignaling data into the same data format, and the data conversion logic includes field mapping, data type conversion and timestamp processing.

3. The remote signaling data conversion and processing system for virtual power plant gateway equipment according to claim 1 is characterized in that: The communication encryption technology used to encrypt the collected data includes AES symmetric encryption algorithm, RSA asymmetric encryption algorithm, TLS and SSL encryption algorithms, and elliptic curve encryption algorithm.

4. The virtual power plant gateway equipment remote signaling data conversion and processing system according to claim 1 is characterized in that: The communication technologies used in the step of using communication technologies to transmit the processed remote signaling data to the management platform module include transmission control protocol / internet protocol, user datagram protocol, hypertext transfer protocol / secure hypertext transfer protocol, file transfer protocol / secure file transfer protocol, secure file transfer protocol, secure copy protocol, electronic data interchange and border gateway protocol.

5. The virtual power plant gateway device remote signaling data conversion and processing system according to claim 1 is characterized in that: The steps of receiving, storing and analyzing telesignaling data to provide optimal decision-making for the dispatching and control of the virtual power plant are as follows: Through pre-trained convolutional neural networks, recurrent neural networks and generative adversarial networks, the optimal power plant dispatching and control scheme is predicted and generated based on the collected telesignaling data within a preset time range.

6. A method for converting and processing remote signaling data of a virtual power plant gateway device, characterized in that: The specific steps include: Collect raw telemetry data in real time from sensors, smart meters and gateway devices of distributed resources; A variety of communication protocol parsers are built into the system to convert the collected original remote signaling data into a unified data format; Clean, verify and compress the converted data; Use communication encryption technology to encrypt the collected data; Use communication technology to transmit the processed remote signaling data to the management platform module; Receive, store and analyze remote signaling data to provide optimal decisions for the scheduling and control of virtual power plants.

7. The method for converting and processing remote signaling data of a virtual power plant gateway device according to claim 6 is characterized in that: The built-in multiple communication protocol parsers include Wireshark, tcpdump, Snort, Fiddler, Modbus Poll and Kepware; in the step of converting the collected original telesignaling data into a unified data format, different data conversion logics are used to convert different original telesignaling data into the same data format, and the data conversion logic includes field mapping, data type conversion and timestamp processing.

8. The method for converting and processing remote signaling data of a virtual power plant gateway device according to claim 6 is characterized in that: The communication encryption technology used to encrypt the collected data includes AES symmetric encryption algorithm, RSA asymmetric encryption algorithm, TLS and SSL encryption algorithms, and elliptic curve encryption algorithm.

9. The method for converting and processing remote signaling data of a virtual power plant gateway device according to claim 6 is characterized in that: The communication technologies used in the step of using communication technologies to transmit the processed remote signaling data to the management platform module include transmission control protocol / internet protocol, user datagram protocol, hypertext transfer protocol / secure hypertext transfer protocol, file transfer protocol / secure file transfer protocol, secure file transfer protocol, secure copy protocol, electronic data interchange and border gateway protocol.

10. The method for converting and processing remote signaling data of a virtual power plant gateway device according to claim 6, characterized in that: The steps of receiving, storing and analyzing telesignaling data to provide optimal decision-making for the dispatching and control of the virtual power plant are as follows: Through pre-trained convolutional neural networks, recurrent neural networks and generative adversarial networks, the optimal power plant dispatching and control scheme is predicted and generated based on the collected telesignaling data within a preset time range.

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