A General Equivalent Modeling Method for DFIG Wind Farms Based on Data-Driven Modeling
To enhance the stable performance of wind farm (WF) equivalent models in uncertain operating scenarios, a model-data-driven equivalent modeling method for doubly-fed induction generator (DFIG)-based WFs is proposed. Firstly, the aggregation-based WF equivalent models and the equivalent methods for a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/19/7205 |
| _version_ | 1797479509532868608 |
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| author | Qianlong Zhu Jun Tao Tianbai Deng Mingxing Zhu |
| author_facet | Qianlong Zhu Jun Tao Tianbai Deng Mingxing Zhu |
| author_sort | Qianlong Zhu |
| collection | DOAJ |
| description | To enhance the stable performance of wind farm (WF) equivalent models in uncertain operating scenarios, a model-data-driven equivalent modeling method for doubly-fed induction generator (DFIG)-based WFs is proposed. Firstly, the aggregation-based WF equivalent models and the equivalent methods for aggregated parameters are analyzed and compared. Two mechanism models are selected from the perspective of practicality and complementarity of simulation accuracy. Secondly, the simulation parameters are set through two sampling methods to construct a training database. Next, the whole fault process is divided into five phases, and the weight coefficient optimization model is established according to the data-driven idea to achieve the adaptive configuration of the weight. Finally, the electromechanical transient simulations of the power systems with a DFIG-based WF is carried out by using the MATLAB/Simulink platform. Compared with the detailed WF model, the simulation time of the WF equivalent proposed in this paper can be significantly reduced by about 87%, and simulation results show that the proposed method can effectively improve the adaptability of the WF equivalent model in different wind scenarios and voltage dips. |
| first_indexed | 2024-03-09T21:46:40Z |
| format | Article |
| id | doaj.art-3c174de14512402f95cf77c4206b56a3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T21:46:40Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-3c174de14512402f95cf77c4206b56a32023-11-23T20:14:56ZengMDPI AGEnergies1996-10732022-09-011519720510.3390/en15197205A General Equivalent Modeling Method for DFIG Wind Farms Based on Data-Driven ModelingQianlong Zhu0Jun Tao1Tianbai Deng2Mingxing Zhu3The College of Electrical Engineering and Automation, Anhui University, Hefei 230601, ChinaThe College of Electrical Engineering and Automation, Anhui University, Hefei 230601, ChinaThe College of Electrical Engineering and Automation, Anhui University, Hefei 230601, ChinaThe College of Electrical Engineering and Automation, Anhui University, Hefei 230601, ChinaTo enhance the stable performance of wind farm (WF) equivalent models in uncertain operating scenarios, a model-data-driven equivalent modeling method for doubly-fed induction generator (DFIG)-based WFs is proposed. Firstly, the aggregation-based WF equivalent models and the equivalent methods for aggregated parameters are analyzed and compared. Two mechanism models are selected from the perspective of practicality and complementarity of simulation accuracy. Secondly, the simulation parameters are set through two sampling methods to construct a training database. Next, the whole fault process is divided into five phases, and the weight coefficient optimization model is established according to the data-driven idea to achieve the adaptive configuration of the weight. Finally, the electromechanical transient simulations of the power systems with a DFIG-based WF is carried out by using the MATLAB/Simulink platform. Compared with the detailed WF model, the simulation time of the WF equivalent proposed in this paper can be significantly reduced by about 87%, and simulation results show that the proposed method can effectively improve the adaptability of the WF equivalent model in different wind scenarios and voltage dips.https://www.mdpi.com/1996-1073/15/19/7205DFIG-based wind farmgeneral equivalent modelingmechanism modeldata-drivenweight coefficient |
| spellingShingle | Qianlong Zhu Jun Tao Tianbai Deng Mingxing Zhu A General Equivalent Modeling Method for DFIG Wind Farms Based on Data-Driven Modeling Energies DFIG-based wind farm general equivalent modeling mechanism model data-driven weight coefficient |
| title | A General Equivalent Modeling Method for DFIG Wind Farms Based on Data-Driven Modeling |
| title_full | A General Equivalent Modeling Method for DFIG Wind Farms Based on Data-Driven Modeling |
| title_fullStr | A General Equivalent Modeling Method for DFIG Wind Farms Based on Data-Driven Modeling |
| title_full_unstemmed | A General Equivalent Modeling Method for DFIG Wind Farms Based on Data-Driven Modeling |
| title_short | A General Equivalent Modeling Method for DFIG Wind Farms Based on Data-Driven Modeling |
| title_sort | general equivalent modeling method for dfig wind farms based on data driven modeling |
| topic | DFIG-based wind farm general equivalent modeling mechanism model data-driven weight coefficient |
| url | https://www.mdpi.com/1996-1073/15/19/7205 |
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