Abstract
To trace maximum power points (MPP) d-axis and q-axis stator currents are required to be controlled individually, and decoupled for grid voltage support and reactive power injection during the grid faults. A decoupling method for Doubly Fed Induction Generator (DFIG) tied with grid is presented by Exact Feedback Linearization (EFL) based on differential geometry. State feedback linearization conditions are illustrated to check whether the nonlinear system is linearizable or not. State feedback control law which decouples active and reactive powers. The control law is simplified and designed to ensure its realization in practical engineering. The d-q modeling of DFIG is carried out using MATLAB/Simulink in term of synchronous reference frame. The simulations result shows that the proposed control scheme can exactly linearized the DFIG system.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 330-335 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509053001 |
| DOIs | |
| State | Published - 27 Feb 2017 |
| Externally published | Yes |
| Event | 14th International Conference on Frontiers of Information Technology, FIT 2016 - Islamabad, Pakistan Duration: 19 Dec 2016 → 21 Dec 2016 |
Publication series
| Name | Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016 |
|---|
Conference
| Conference | 14th International Conference on Frontiers of Information Technology, FIT 2016 |
|---|---|
| Country/Territory | Pakistan |
| City | Islamabad |
| Period | 19/12/16 → 21/12/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- D-q Modeling
- DFIG
- Decouple Control
- Exact Feedback Linearization
- Vector Control
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Control and Optimization
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