Abstract
Linear Control Schemes (LCS) and Non-Linear Control Schemes (NLCS) play a vital role in the Smart Grid System stability and control. The Wind Energy Conversion System (WECS) is highly intermittent and nonlinear, therefore, our paper presents simulation analysis of NLCS on Doubly Fed Induction Generator (DFIG). Moreover, this paper presents the robust NLCS for Induction Machines (IM). The different modeling assumptions used in robust control algorithms are reviewed systematically. The different control and switching systems are categorized as follows: Sliding Mode Control (SMC) schemes, feedback control schemes, fuzzy logic control, artificial neural network, pulse width modulation, and space vector modulation. The simulation results are carried out using SMC for DFIG-WECS that shows the robustness of the proposed system, compared to conventional proportional integral (PI) system under symmetrical transmission line faults.
| Original language | English |
|---|---|
| Title of host publication | ICECE 2018 - 2018 2nd International Conference on Energy Conservation and Efficiency, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 86-92 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781538694251 |
| DOIs | |
| State | Published - 30 Nov 2018 |
| Externally published | Yes |
| Event | 2nd International Conference on Energy Conservation and Efficiency, ICECE 2018 - Lahore, Pakistan Duration: 16 Oct 2018 → 17 Oct 2018 |
Publication series
| Name | ICECE 2018 - 2018 2nd International Conference on Energy Conservation and Efficiency, Proceedings |
|---|
Conference
| Conference | 2nd International Conference on Energy Conservation and Efficiency, ICECE 2018 |
|---|---|
| Country/Territory | Pakistan |
| City | Lahore |
| Period | 16/10/18 → 17/10/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Doubly Fed Induction Generator
- Induction Motor
- Model Predictive Control
- Non-linear Control Schemes
- Sliding Mode Control
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment