A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data
With the increasing proportion of grid-connected capacity of new energy units, such as wind power and photovoltaics, accurately constructing simulation models of these units is of great significance to the study of new power systems. However, the actual control strategies and parameters of many new...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/13/7257 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849319696908681216 |
|---|---|
| author | Xu Zhang Shenbing Ma Jun Ye Lintao Gao Hui Huang Qiman Xie Liming Bo Qun Wang |
| author_facet | Xu Zhang Shenbing Ma Jun Ye Lintao Gao Hui Huang Qiman Xie Liming Bo Qun Wang |
| author_sort | Xu Zhang |
| collection | DOAJ |
| description | With the increasing proportion of grid-connected capacity of new energy units, such as wind power and photovoltaics, accurately constructing simulation models of these units is of great significance to the study of new power systems. However, the actual control strategies and parameters of many new energy units are often unavailable due to factors like outdated equipment or commercial confidentiality. This unavailability creates modeling challenges that compromise accuracy, ultimately affecting grid-connected power generation performance. Aiming at the problem of accurate modeling of fault ride-through control of new energy turbine “black box” controllers, this paper proposes an accurate identification method of fault ride-through control characteristics of doubly fed wind turbines based on hardware-in-the-loop testing. Firstly, according to the domestic and international new energy turbine fault ride-through standards, the fault ride-through segmentation control characteristics are summarized, and a general structured model for fault ride-through segmentation control of doubly fed wind turbines is constructed; Secondly, based on the measured hardware-in-the-loop data of the doubly fed wind turbine black box controller, the method of data segmentation preprocessing and structured model identification of the doubly fed wind turbine is proposed by utilizing statistical modal features and genetic Newton’s algorithm, and a set of generalized software simulation platforms for parameter identification is developed by combining Matlab and BPA; lastly, using the measured data of the doubly fed wind turbine in the black box and the software platform, the validity and accuracy of the proposed parameter identification method and software are tested in the simulation. Finally, the effectiveness and accuracy of the proposed parameter identification method and software are simulated and tested by using the measured data of black box doubly fed wind turbine and the software platform. The results show that the method proposed in this paper has higher recognition accuracy and stronger robustness, and the recognition error is reduced by 2.89% compared with the traditional method, which is of high value for engineering applications. |
| format | Article |
| id | doaj-art-525c5c3061024cd9aa8e136c0365fca7 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-525c5c3061024cd9aa8e136c0365fca72025-08-20T03:50:21ZengMDPI AGApplied Sciences2076-34172025-06-011513725710.3390/app15137257A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured DataXu Zhang0Shenbing Ma1Jun Ye2Lintao Gao3Hui Huang4Qiman Xie5Liming Bo6Qun Wang7School of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaSchool of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaSchool of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaSchool of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaSchool of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaSchool of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaState Grid Shanxi Electric Power Research Institute, Taiyuan 030001, ChinaSchool of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaWith the increasing proportion of grid-connected capacity of new energy units, such as wind power and photovoltaics, accurately constructing simulation models of these units is of great significance to the study of new power systems. However, the actual control strategies and parameters of many new energy units are often unavailable due to factors like outdated equipment or commercial confidentiality. This unavailability creates modeling challenges that compromise accuracy, ultimately affecting grid-connected power generation performance. Aiming at the problem of accurate modeling of fault ride-through control of new energy turbine “black box” controllers, this paper proposes an accurate identification method of fault ride-through control characteristics of doubly fed wind turbines based on hardware-in-the-loop testing. Firstly, according to the domestic and international new energy turbine fault ride-through standards, the fault ride-through segmentation control characteristics are summarized, and a general structured model for fault ride-through segmentation control of doubly fed wind turbines is constructed; Secondly, based on the measured hardware-in-the-loop data of the doubly fed wind turbine black box controller, the method of data segmentation preprocessing and structured model identification of the doubly fed wind turbine is proposed by utilizing statistical modal features and genetic Newton’s algorithm, and a set of generalized software simulation platforms for parameter identification is developed by combining Matlab and BPA; lastly, using the measured data of the doubly fed wind turbine in the black box and the software platform, the validity and accuracy of the proposed parameter identification method and software are tested in the simulation. Finally, the effectiveness and accuracy of the proposed parameter identification method and software are simulated and tested by using the measured data of black box doubly fed wind turbine and the software platform. The results show that the method proposed in this paper has higher recognition accuracy and stronger robustness, and the recognition error is reduced by 2.89% compared with the traditional method, which is of high value for engineering applications.https://www.mdpi.com/2076-3417/15/13/7257new energy fault traversalstructured modelingblack box identificationgenetic proposed Newtonsoftware development |
| spellingShingle | Xu Zhang Shenbing Ma Jun Ye Lintao Gao Hui Huang Qiman Xie Liming Bo Qun Wang A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data Applied Sciences new energy fault traversal structured modeling black box identification genetic proposed Newton software development |
| title | A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data |
| title_full | A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data |
| title_fullStr | A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data |
| title_full_unstemmed | A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data |
| title_short | A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data |
| title_sort | black box doubly fed wind turbine electromechanical transient structured model fault ride through control identification method based on measured data |
| topic | new energy fault traversal structured modeling black box identification genetic proposed Newton software development |
| url | https://www.mdpi.com/2076-3417/15/13/7257 |
| work_keys_str_mv | AT xuzhang ablackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT shenbingma ablackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT junye ablackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT lintaogao ablackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT huihuang ablackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT qimanxie ablackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT limingbo ablackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT qunwang ablackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT xuzhang blackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT shenbingma blackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT junye blackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT lintaogao blackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT huihuang blackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT qimanxie blackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT limingbo blackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata AT qunwang blackboxdoublyfedwindturbineelectromechanicaltransientstructuredmodelfaultridethroughcontrolidentificationmethodbasedonmeasureddata |