Power transformation system for debugging power transmission of wind power plant power generation line and wind turbine generator

Abstract

The invention discloses a power transformation system for debugging power transmission of a wind power plant power generation line and a wind turbine generator set, and the system comprises an intelligent monitoring module which is responsible for carrying out the real-time monitoring and data collection of the working state parameters of the wind turbine generator set; the data processing and analyzing module is used for receiving the collected data of the intelligent monitoring module and cleaning, denoising and formatting the collected original data to obtain an analysis result; and the intelligent control module receives the analysis result of the data processing and analysis module. Through integration of the intelligent monitoring module, the data processing and analysis module and the intelligent control module, comprehensive and real-time monitoring and intelligent control of a wind power plant power generation line and a wind turbine generator are realized, and operation and maintenance personnel can check the operation state and historical data of a wind power plant in real time through a monitoring interface. And potential faults and abnormal conditions can be found and processed in time, so that the reliability and the safety of the system are improved.

Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a power transformation system for debugging power generation lines of a wind farm and wind turbine generator sets. Background Art

[0002] Wind farm power generation lines and wind turbines are the core components of modern wind power generation systems. Wind farms usually contain dozens or even hundreds of wind turbines. These turbines transmit the generated electricity to substations through power generation lines, and then further boost the voltage before sending it into the power grid.

[0003] The power transmission process of wind turbines is not only related to the power generation efficiency of the wind farm, but also directly affects the stability and security of the power grid. Therefore, before the wind turbines are put into operation, they must undergo rigorous commissioning and testing to ensure that their performance meets the design requirements and can operate stably under various working conditions. At the same time, the substation system is the key interface between the wind farm and the power grid. Its performance is directly related to the transmission efficiency of the wind farm's electricity and the stable operation of the power grid.

[0004] However, the existing wind farm substation system still has some shortcomings in design and function:

[0005] On the one hand, traditional substation systems often lack intelligent monitoring and control methods. As a result, during the power transmission, commissioning, and substation processes of wind turbines, operations and maintenance personnel have difficulty understanding the system's operating status in real time, and are unable to promptly detect and address potential faults and abnormalities.

[0006] On the other hand, existing substation systems have limitations in data processing and analysis, making it impossible to fully utilize the massive amounts of data generated by wind farms for in-depth modeling and analysis, making it difficult to identify wind turbine failure modes and operating characteristics.

[0007] The above two problems not only affect the power generation efficiency and operation and maintenance costs of wind farms, but also increase the safety risks of the power grid. Summary of the Invention

[0008] To this end, the present application provides a substation system for debugging wind farm power generation lines and wind turbine power transmission, so as to solve the problems existing in the prior art that operation and maintenance personnel have difficulty in grasping the operating status of the system in real time, cannot promptly discover and deal with potential faults and abnormal conditions, and have difficulty in identifying the failure modes and operating characteristics of wind turbines.

[0009] In order to achieve the above objectives, this application provides the following technical solutions:

[0010] A power transformation system for commissioning power transmission of wind farm power generation lines and wind turbine generator sets, comprising

[0011] The intelligent monitoring module is responsible for real-time monitoring and data collection of the working state parameters of the wind turbine generator set;

[0012] The data processing and analysis module receives the collected data from the intelligent monitoring module, and performs cleaning, denoising, and formatting on the collected raw data to obtain the analysis results;

[0013] The intelligent control module receives the analysis results from the data processing and analysis module, and automatically adjusts the control strategy according to the analysis results and the real-time wind and load conditions, dynamically adjusts the operating parameters of the generator set, and achieves the optimal power generation efficiency;

[0014] The communication and network module is responsible for the networking communication between the wind turbine generator set, the substation, and the monitoring equipment to ensure the real-time transmission and sharing of data;

[0015] The debugging and testing module is responsible for quickly and accurately testing the performance indicators of the wind turbine generator set, and feeding back the test results to the intelligent monitoring module, the data processing and analysis module, and the intelligent control module.

[0016] Optionally, the intelligent monitoring module is also responsible for monitoring the faults and abnormal conditions of the wind turbine generator set. When a fault or abnormal condition is detected, an early warning signal is immediately triggered and sent to the intelligent control module. When the intelligent control module receives the fault early warning signal from the intelligent monitoring module, it immediately activates the fault isolation and recovery strategy.

[0017] Optionally, the intelligent control module communicates with the communication and network module in real time to achieve remote control and data sharing.

[0018] Optionally, the data processing and analysis module models and analyzes the processed data, identifies the fault modes and operating condition characteristics of the wind turbine generator set, and sends the analysis results to the intelligent control module and the debugging and testing module to provide a basis for operation optimization and decision support.

[0019] Optionally, the data processing and analysis module and the communication and network module maintain communication, and the key indicators and alarm information of the wind turbine generator set are sent to the remote monitoring center or operation and maintenance personnel through the communication and network module by the data processing and analysis module.

[0020] Optionally, the intelligent monitoring module includes

[0021] The data acquisition unit: used for real-time monitoring of various parameters of the wind farm;

[0022] The data transmission unit: receives the data collected by the data acquisition unit and encrypts and transmits the data;

[0023] Data analysis and early warning unit: Receives the data transmitted by the data transmission unit, analyzes the data, identifies abnormal data and predicts the probability of faults occurring. When potential faults are predicted, it automatically triggers the early warning mechanism and sends early warning signals to the operation and maintenance personnel.

[0024] Optionally, the data processing and analysis module includes

[0025] Data preprocessing unit: Responsible for removing redundancy, errors and outliers in the original data, reducing noise and interference in the data, and converting the cleaned and denoised data into a unified format and standard;

[0026] Data analysis and modeling unit: Conducts statistical analysis on the processed data, uses machine learning algorithms to model the data, and evaluates and optimizes the constructed model;

[0027] Decision support unit: Provides suggestions for operation optimization and decision support based on the results of data analysis.

[0028] Optionally, the intelligent control module includes

[0029] Remote communication and control unit: Responsible for communication between the wind turbine generator sets, monitoring devices and data centers, and realizes remote start-up, shutdown and grid-connected power generation control of the wind turbine generator sets;

[0030] Adaptive control strategy unit: Receives the operation data of the wind farm in real time, preprocesses and analyzes it, and automatically generates an adapted control strategy based on the results of data analysis;

[0031] Intelligent optimization and scheduling unit: Applies optimization algorithms to dynamically adjust the operation parameters of the wind farm, and formulates a power generation plan and a scheduling strategy according to the real-time operation conditions of the wind farm and the grid demand;

[0032] Fault detection and isolation unit: Responsible for real-time monitoring and analysis of the operation data of the wind farm, timely discovers potential faults or abnormal conditions, automatically isolates the faulty unit when a fault is detected, and starts the standby unit or takes corresponding emergency measures.

[0033] Compared with the prior art, the present application has at least the following beneficial effects:

[0034] (1) By integrating the intelligent monitoring module, the data processing and analysis module and the intelligent control module, the present application realizes comprehensive and real-time monitoring and intelligent control of the power generation lines and wind turbine generator sets in the wind farm. The operation and maintenance personnel can view the operation status and historical data of the wind farm in real time through the monitoring interface, and timely discover and handle potential faults and abnormal conditions, thereby improving the reliability and safety of the system;

[0035] (2) Through the data processing and analysis module, the collected raw data can be cleaned, denoised, and formatted to obtain accurate analysis results. At the same time, machine learning algorithms are used to model and analyze the data to identify the fault modes and operating characteristics of wind turbines, providing a strong basis for operation optimization and decision support, not only reducing the operation and maintenance costs but also improving the power generation efficiency of the wind farm;

[0036] (3) Through the adaptive control strategy unit and the intelligent optimization and scheduling unit of the intelligent control module, according to the real-time operation data of the wind farm and the grid demand, the control strategy adapted to the current wind conditions and load conditions can be automatically generated, and the operation parameters of the wind farm can be dynamically adjusted. This not only improves the stability and safety of the system but also meets the grid scheduling requirements, providing strong support for the sustainable development of the wind power industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] To more intuitively illustrate the prior art and the present application, exemplary drawings are given below. It should be understood that the specific shapes and structures shown in the drawings generally should not be regarded as limiting conditions when implementing the present application; for example, those skilled in the art are capable of making routine adjustments or further optimizations to the addition / deletion / attribution division of certain units (components), specific shapes, positional relationships, connection methods, dimensional proportional relationships, etc. based on the technical concept disclosed in the present application and the exemplary drawings.

[0038] Figure 1 It is a schematic structural diagram of a substation system for commissioning the power generation line of a wind farm and the power transmission of wind turbines provided by the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0039] The following further details the present application through specific embodiments in conjunction with the drawings.

[0040] A substation system for commissioning the power generation line of a wind farm and the power transmission of wind turbines includes an intelligent monitoring module, a data processing and analysis module, an intelligent control module, a communication and network module, and a commissioning and testing module;

[0041] The intelligent monitoring module consists of a data acquisition unit, a data transmission unit, a data analysis and early warning unit, and a user interface and interaction unit. The specific working contents are as follows:

[0042] (1) The data acquisition unit includes

[0043] A sensor array: composed of multiple high-sensitivity and low-power sensors, distributed in various key parts of the wind farm, such as the blades, bearings, gearboxes, generators of wind turbines, etc., for real-time monitoring of various parameters, such as vibration, temperature, current, voltage, etc.;

[0044] Data Collector: Responsible for receiving data from the sensor array, and performing preliminary processing and packaging for subsequent data transmission and analysis;

[0045] (2) The data transmission unit includes

[0046] Communication Sub-unit: Transmits the data collected by the data acquisition unit to the data processing center by wireless or wired means, with high reliability and stability to ensure the real-time and integrity of the data;

[0047] Data Compression and Encryption Sub-unit: During data transmission, compresses the data to reduce the transmission time, and at the same time uses encryption technology to protect the security of the data, preventing the data from being stolen or tampered with;

[0048] (3) The data analysis and early warning unit includes

[0049] Preprocessing Sub-unit: Cleans, denoises, and formats the received data to improve the accuracy and efficiency of data analysis;

[0050] Intelligent Early Warning Algorithm Sub-unit: Based on big data analysis and machine learning algorithms, deeply analyzes the preprocessed data, identifies abnormal data and predicts the probability of a fault occurring. When a potential fault is predicted, it automatically triggers the early warning mechanism and sends a warning signal to the operation and maintenance personnel;

[0051] (4) The user interface and interaction unit includes

[0052] Monitoring Interface Sub-unit: Provides an intuitive and easy-to-use monitoring interface, displaying the real-time operating status, historical data, warning information, etc. of the wind turbine generator;

[0053] Alarm and Notification Sub-unit: When the system detects a fault or abnormal situation, sends alarm information to the operation and maintenance personnel by means of sound, light, SMS, email, etc., to ensure that the problem is dealt with in a timely manner;

[0054] Collect various parameters of the wind turbine in real time through the sensor array to ensure the accuracy and timeliness of the data. The data collector preliminarily processes the collected data to prepare for subsequent data transmission and analysis. The data transmission unit transmits the processed data to the data processing center through the communication sub-unit. During the transmission process, data compression and encryption technologies are adopted to ensure the fast and secure transmission of the data. The data analysis and early warning unit deeply analyzes the received data, identifies abnormal data and predicts the probability of faults occurring. When potential faults are predicted, the early warning mechanism is automatically triggered to send early warning signals to the operation and maintenance personnel so that they can take timely measures for handling. Display the real-time operation status and historical data of the wind turbine through the monitoring interface to facilitate the operation and maintenance personnel to understand the overall performance and operation conditions of the equipment. At the same time, when the system detects faults or abnormal conditions, the operation and maintenance personnel are notified in time through the alarm and notification function for handling;

[0055] The intelligent monitoring module realizes the comprehensive and real-time monitoring and fault early warning of the wind turbine through the integrated sensor network and intelligent early warning algorithm, improves the operation and maintenance efficiency of the wind farm, and also reduces the probability of faults occurring, providing a strong guarantee for the stable operation of the wind farm.

[0056] The data processing and analysis module consists of a data preprocessing unit, a data analysis and modeling unit, and a decision support unit. The specific work content is as follows:

[0057] (1) The data preprocessing unit includes

[0058] The data cleaning sub-unit: responsible for removing redundant, incorrect and outlier values from the original data to ensure the accuracy and consistency of the data. Use data cleaning tools and technologies, such as data deduplication, missing value filling, outlier detection and processing, etc., to conduct preliminary processing on the original data;

[0059] The data denoising sub-unit: focuses on reducing the noise and interference in the data, improving the signal-to-noise ratio of the data, and adopts filtering technologies, smoothing methods, etc. to denoise the data to obtain clearer and more accurate data;

[0060] The data formatting sub-unit: responsible for converting the cleaned and denoised data into a unified format and standard for subsequent analysis and processing. According to the system requirements and data characteristics, formulate appropriate data format specifications and perform data format conversion and standardization processing;

[0061] (2) The data analysis and modeling unit includes

[0062] Statistical analysis subunit: Using statistical methods, perform descriptive statistics, inferential statistics, etc. on the processed data to reveal the internal laws and trends of the data. Statistical quantities such as calculating the mean, variance, covariance, etc. can be adopted, as well as conducting correlation analysis, regression analysis, etc., providing a basis for data modeling;

[0063] Machine learning algorithm subunit: Use machine learning algorithms to model and analyze data, such as classification algorithms, clustering algorithms, regression algorithms, etc. According to the characteristics of the data and the requirements of the problem, construct prediction models, classification models, etc. to identify the fault modes and operating conditions of wind turbines;

[0064] Model evaluation and optimization subunit: Responsible for evaluating and optimizing the constructed model. Through methods such as cross-validation and model comparison, evaluate the performance and accuracy of the model. According to the evaluation results, optimize the model to improve the prediction ability and generalization ability of the model;

[0065] (3) The decision support unit includes

[0066] Operation optimization subunit: According to the results of data analysis, provide suggestions for operation optimization and decision support. By analyzing the operating status and performance data of wind turbines, put forward suggestions such as adjusting the power generation strategy and optimizing the maintenance plan to improve the power generation efficiency and operation and maintenance efficiency of the wind farm;

[0067] Visual analysis interface subunit: Responsible for presenting data and information in an intuitive and easy-to-understand way, providing convenient decision support for operation and maintenance personnel;

[0068] The data preprocessing unit performs deduplication, missing value filling, outlier detection and processing on the original data to ensure the accuracy and consistency of the data, reduce noise and interference in the data, improve the signal-to-noise ratio of the data, and then convert the cleaned and denoised data into a unified format and standard;

[0069] The data analysis and modeling unit uses statistical methods to perform descriptive statistics, inferential statistics, etc. on the data to reveal the internal laws and trends of the data, selects appropriate algorithms to model and analyze the data, identifies the fault modes and operating conditions of wind turbines, and then evaluates and optimizes the constructed model;

[0070] The decision support unit provides suggestions for operation optimization and decision support according to the results of data analysis, such as adjusting the power generation strategy and optimizing the maintenance plan, and provides a visual interface to provide convenient decision support for operation and maintenance personnel;

[0071] The data processing and analysis module can ensure the efficient processing, accurate analysis and effective application of data, providing a strong guarantee for the operation optimization and decision support of the intelligent wind power management system.

[0072] The intelligent control module consists of a remote communication and control unit, an adaptive control strategy unit, an intelligent optimization and scheduling unit, a fault detection and isolation unit, and a user interface and interaction unit. The specific work content is as follows:

[0073] (1) The remote communication and control unit includes

[0074] Communication interface: Responsible for communication with wind turbines, monitoring devices, data centers, etc., to ensure real-time transmission and reception of information;

[0075] Remote controller: Through the communication network, it realizes the control of functions such as remote start, stop, and grid-connected power generation of wind turbines, with high reliability and stability, ensuring the accurate execution of instructions;

[0076] (2) The adaptive control strategy unit includes

[0077] Data analysis and processing sub-unit: Real-time receives the operation data of the wind farm, including wind speed, wind direction, generator power, grid voltage, etc., and performs preprocessing and analysis;

[0078] Control strategy generation sub-unit: Based on the data analysis results, automatically generates control strategies suitable for the current wind conditions and load conditions, such as adjusting the pitch angle, generator speed, etc., to achieve the optimal power generation efficiency;

[0079] (3) The intelligent optimization and scheduling unit includes

[0080] Optimization algorithm sub-unit: Applies advanced optimization algorithms, such as genetic algorithms, particle swarm algorithms, etc., to dynamically adjust the operation parameters of the wind farm to improve power generation efficiency and system stability;

[0081] Scheduling decision sub-unit: According to the real-time operation situation of the wind farm and the grid demand, formulates reasonable power generation plans and scheduling strategies to ensure the safe and efficient operation of the wind farm;

[0082] (4) The fault detection and isolation unit includes

[0083] Fault diagnosis sub-unit: Through real-time monitoring and analysis of the operation data of the wind farm, timely discovers potential faults or abnormal situations;

[0084] Fault isolation and recovery sub-unit: When a fault is detected, automatically isolates the faulty unit, and starts the standby unit or takes corresponding emergency measures to ensure the continuous operation of the wind farm and the stable power supply of the grid;

[0085] (5) The user interface and interaction unit includes

[0086] Monitoring Interface: Provide an intuitive and user-friendly monitoring interface to display the real-time operating status, historical data, alarm information, etc. of the wind farm;

[0087] Operation and Control Sub-unit: Allow operation and maintenance personnel to perform remote operations and controls through the interface, such as starting / stopping the unit, adjusting operating parameters, etc.;

[0088] Remote monitoring and control of wind turbines are carried out through the remote communication and control unit. Operation and maintenance personnel can view the operating status of the units in real time at the data center or remote terminal and issue commands such as start, stop, and grid-connected power generation. The adaptive control strategy unit automatically generates control strategies adapted to the current wind conditions and load conditions based on the real-time operating data of the wind farm to improve power generation efficiency while ensuring the stability and security of the system. The intelligent optimization and scheduling unit uses advanced optimization algorithms and scheduling strategies to dynamically adjust the operating parameters of the wind farm, which helps to improve power generation efficiency, reduce operation and maintenance costs, and meet the scheduling requirements of the power grid. The fault detection and isolation unit monitors the operating data of the wind farm in real time and timely discovers potential faults or abnormal situations. The user interface and interaction unit provides an intuitive and user-friendly monitoring interface and operation control module, facilitating operation and maintenance personnel to view the operating status of the wind farm in real time and perform remote operations and controls, which helps to improve operation and maintenance efficiency and reduce the risk of human misoperation;

[0089] The intelligent control module integrates the remote communication and control unit, adaptive control strategy unit, intelligent optimization and scheduling unit, fault detection and isolation unit, and user interface and interaction unit to achieve comprehensive monitoring and optimization of the wind farm. It not only improves the power generation efficiency and stability of the wind farm but also reduces operation and maintenance costs and safety risks, providing strong support for the sustainable development of the wind power industry.

[0090] The communication and network module consists of a network infrastructure unit, communication protocol and interface unit, network management and monitoring unit, network security unit, and intelligent routing and load balancing unit. The specific work content is as follows:

[0091] (1) The network infrastructure unit is responsible for laying and maintaining wired and wireless networks to ensure physical connections and smooth communication among wind turbines, substations, monitoring devices, etc., including

[0092] The wired network part: Includes physical connection facilities such as optical fibers and Ethernet for realizing high-speed and stable data transmission among wind turbines, substations, and control centers;

[0093] The wireless network part: Utilizes wireless communication technologies such as Wi-Fi, 4G / 5G, LoRa, and Zigbee to provide flexible communication solutions for remote or areas where it is not easy to lay wired networks;

[0094] (2) The communication protocol and interface unit is responsible for the conversion and adaptation of communication protocols between different devices, ensuring the smooth transmission of data between different devices, including

[0095] Protocol conversion and adaptation subunit: Responsible for the conversion and adaptation of communication protocols between different devices, ensuring that devices of different manufacturers and models can exchange data smoothly;

[0096] Standard interface definition subunit: Provides a standardized data interface, facilitating the access of new devices and the integration of existing devices, and reducing the complexity of system expansion and maintenance;

[0097] (3) The network management and monitoring unit is responsible for real-time monitoring of the network topology, performance metrics, and fault conditions, providing a comprehensive view of the network status. According to the monitoring results, it automatically adjusts the network configuration, optimizes the data transmission efficiency, and quickly recovers network faults, including

[0098] Network topology management subunit: Real-time monitors changes in the network topology to ensure the integrity and connectivity of the network;

[0099] Performance monitoring and optimization subunit: Continuously monitors key performance metrics such as network bandwidth, latency, and packet loss rate, and adjusts the network configuration as needed to optimize the data transmission efficiency;

[0100] Fault detection and recovery subunit: Automatically detects network faults and quickly activates the recovery mechanism to reduce the impact of faults on the system;

[0101] (4) The network security unit ensures the security and integrity of communication data by deploying measures such as firewalls, intrusion detection systems, data encryption, and integrity verification, preventing data leakage and tampering, including

[0102] Firewall and intrusion detection subunit: Sets up a firewall to block unauthorized access and attacks. At the same time, deploys an intrusion detection system to detect and respond to potential network security threats in a timely manner;

[0103] Data encryption and integrity verification subunit: Adopts advanced encryption algorithms to encrypt and protect communication data. At the same time, through the integrity verification mechanism, ensures that the data is not tampered with during transmission;

[0104] (5) The intelligent routing and load balancing unit dynamically adjusts the communication path and allocates network resources according to network load, communication quality, and service requirements. Through intelligent routing algorithms and load balancing strategies, this unit achieves the optimization of data transmission and the rational utilization of network resources, including

[0105] Intelligent routing algorithm subunit: Dynamically adjusts the communication path according to network load, communication quality, and service requirements to achieve the optimization of data transmission;

[0106] Load balancing strategy subunit: Reasonably allocate network resources, avoid network congestion, and improve the overall communication ability of the system;

[0107] Through the close cooperation of multiple units, the communication and network module realizes functions such as networking communication, network security, network management and monitoring, and intelligent routing and load balancing among devices in the wind power generation system. These functions together constitute an efficient, stable, and secure communication foundation for the wind power generation system, providing strong guarantee for the overall operation of the system.

[0108] The debugging and testing module consists of a system debugging unit, a performance testing unit, and a virtual debugging and automation testing unit. The specific work content is as follows:

[0109] (1) The system debugging unit includes

[0110] Hardware debugging subunit: Responsible for the debugging of all hardware devices (such as sensors, controllers, communication devices, etc.) in the system. By checking the connection, configuration, and performance of the devices, ensure that the hardware devices can operate normally and meet the design requirements;

[0111] Software debugging subunit: Focus on the debugging of the software part (such as control systems, data processing algorithms, etc.) in the intelligent power transformation system. By writing test codes, simulating operation scenarios, etc., verify the correctness and stability of the software, and ensure that the software can work as expected;

[0112] System integration debugging subunit: Responsible for integrating the hardware and software parts together for overall debugging and testing. By simulating actual operation scenarios, verify the collaborative working ability between modules, and ensure that the entire intelligent power transformation system can operate stably;

[0113] (2) The performance testing unit includes

[0114] Wind turbine performance testing subunit: Focus on the performance testing of wind turbines, including aspects such as power output, rotational speed control, efficiency evaluation, etc. Through professional testing equipment and instruments, test and evaluate the performance indicators of wind turbines to ensure that the turbines can meet the design requirements;

[0115] Intelligent power transformation system performance testing subunit: Responsible for testing the performance of the entire intelligent power transformation system. By simulating different operation scenarios and load conditions, evaluate aspects such as the stability, response speed, and fault tolerance ability of the system to ensure that the system can operate normally under various conditions;

[0116] (3) The virtual debugging and automation testing unit includes

[0117] Virtual debugging environment construction subunit: Utilize virtual reality technology to construct a virtual wind farm environment. By simulating the actual wind farm layout, equipment configuration, and operation scenarios, it provides a virtual experimental platform for the debugging and testing of the intelligent substation system;

[0118] Automated testing subunit: Used to quickly and accurately test various performance indicators of wind turbines and intelligent substation systems. By writing test scripts, configuring test parameters, etc., it realizes the automation and intelligence of testing, reducing testing costs and time;

[0119] The debugging and testing module can ensure the stability and reliability of the intelligent substation system. Through comprehensive debugging and testing work, this module provides a strong guarantee for the normal operation of the wind farm.

[0120] In summary, a substation system for debugging the power transmission of a wind farm power generation line and a wind turbine provided by this application, through intelligent monitoring and control means, as well as optimized data processing and analysis capabilities, effectively solves the shortcomings of the existing substation system, improves the power generation efficiency and operation and maintenance efficiency of the wind farm, reduces safety risks, and makes a positive contribution to the sustainable development of the wind power industry.

[0121] The technical features of the above embodiments can be combined arbitrarily (as long as there is no contradiction in the combination of these technical features). For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described; these embodiments that are not clearly written should also be considered to be within the scope described in this specification.

Claims

1. A power generation line of a wind farm and a substation system for commissioning power transmission of wind turbines, characterized in that, including an intelligent monitoring module, responsible for real-time monitoring and data collection of the operating status parameters of the wind turbine generator set; a data processing and analysis module, receiving the collected data from the intelligent monitoring module, and performing cleaning, denoising and formatting processing on the collected raw data to obtain the analysis results; an intelligent control module, receiving the analysis results from the data processing and analysis module, and automatically adjusting the control strategy according to the analysis results and the real-time wind force and load conditions, dynamically adjusting the operating parameters of the generator set to achieve the optimal power generation efficiency; a communication and network module, responsible for networking communication among the wind turbine generator set, the substation and the monitoring equipment to ensure real-time data transmission and sharing; a debugging and testing module, responsible for quickly and accurately testing the performance indicators of the wind turbine generator set, and feeding back the test results to the intelligent monitoring module, the data processing and analysis module and the intelligent control module.

2. The substation system for commissioning a wind farm power generation line and a wind turbine power transmission according to claim 1, wherein The intelligent monitoring module is also responsible for monitoring the faults and abnormal conditions of the wind turbine generator set. When a fault or abnormal condition is detected, an early warning signal is immediately triggered and sent to the intelligent control module. When the intelligent control module receives the fault early warning signal from the intelligent monitoring module, it immediately starts the fault isolation and recovery strategy.

3. A substation system for commissioning a power generation line of a wind farm and power transmission of a wind turbine generator according to claim 1, characterized in that, The intelligent control module communicates with the communication and network module in real time to achieve remote control and data sharing.

4. A substation system for commissioning a power generation line of a wind farm and power transmission of a wind turbine generator set according to claim 1, characterized in that, The data processing and analysis module models and analyzes the processed data, identifies the fault modes and operating conditions characteristics of the wind turbine generator set, and sends the analysis results to the intelligent control module and the debugging and testing module to provide a basis for operation optimization and decision support.

5. A substation system for commissioning a power generation line in a wind farm and transmitting power from a wind turbine generator, characterized in that, The data processing and analysis module and the communication and network module maintain communication, and send the key indicators and alarm information of the wind turbine generator set to the remote monitoring center or operation and maintenance personnel through the communication and network module by the data processing and analysis module.

6. A substation system for commissioning a power generation line of a wind farm and power transmission of a wind turbine generator, characterized in that, The intelligent monitoring module includes a data acquisition unit: used for real-time monitoring of various parameters of the wind farm; a data transmission unit: receiving the data collected by the data acquisition unit and encrypting the data for transmission; a data analysis and early warning unit: receiving the data transmitted by the data transmission unit, analyzing the data, identifying abnormal data and predicting the probability of a fault occurrence. When a potential fault is predicted, an early warning mechanism is automatically triggered to send an early warning signal to the operation and maintenance personnel.

7. A substation system for commissioning a power generation line of a wind farm and power transmission of a wind turbine generator, as claimed in claim 1, wherein The data processing and analysis module includes a data preprocessing unit: responsible for removing redundancy, errors and outliers in the raw data, reducing noise and interference in the data, and converting the cleaned and denoised data into a unified format and standard; a data analysis and modeling unit: performing statistical analysis on the processed data, using machine learning algorithms to model the data, and evaluating and optimizing the constructed model; a decision support unit: providing suggestions for operation optimization and decision support according to the results of data analysis.

8. A substation system for commissioning a power generation line of a wind farm and power transmission of a wind turbine unit according to claim 1, characterized in that, The intelligent control module includes a remote communication and control unit: responsible for communication among the wind turbine generator set, the monitoring equipment and the data center to achieve remote start-up, shutdown and grid-connected power generation control of the wind turbine generator set; Adaptive Control Strategy Unit: It receives the operation data of the wind farm in real time, preprocesses and analyzes it, and automatically generates an adapted control strategy based on the data analysis results; Intelligent Optimization and Scheduling Unit: It uses optimization algorithms to dynamically adjust the operation parameters of the wind farm, and formulates a power generation plan and a scheduling strategy according to the real-time operation conditions of the wind farm and the grid demand; Fault Detection and Isolation Unit: It is responsible for real-time monitoring and analysis of the operation data of the wind farm, timely discovers potential faults or abnormal situations. When a fault is detected, it automatically isolates the faulty unit and starts the standby unit or takes corresponding emergency measures.

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