Mahmoud K Abdelhamid, Mahmoud A Mossa, Ahmed A Hassan
Advanced Controls for Wind Driven Doubly Fed Induction Generators
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Mahmoud K Abdelhamid, Mahmoud A Mossa, Ahmed A Hassan
Advanced Controls for Wind Driven Doubly Fed Induction Generators
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This book discusses the most advanced control algorithms used for enhancing the dynamics of a doubly fed induction generator (DFIG) operating at fixed and variable speeds, and which are used for different utilization purposes (standalone and grid connection).
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This book discusses the most advanced control algorithms used for enhancing the dynamics of a doubly fed induction generator (DFIG) operating at fixed and variable speeds, and which are used for different utilization purposes (standalone and grid connection).
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 174
- Erscheinungstermin: 22. Dezember 2023
- Englisch
- Abmessung: 234mm x 156mm x 13mm
- Gewicht: 445g
- ISBN-13: 9781032572901
- ISBN-10: 1032572906
- Artikelnr.: 69031484
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 174
- Erscheinungstermin: 22. Dezember 2023
- Englisch
- Abmessung: 234mm x 156mm x 13mm
- Gewicht: 445g
- ISBN-13: 9781032572901
- ISBN-10: 1032572906
- Artikelnr.: 69031484
Mahmoud K. Abdelhamid received the B.Sc. degree in Electrical Engineering in 2019 from the Electrical Engineering Department, Faculty of Engineering, Minia University, Egypt. Then, he was nominated as a Teaching Assistant in the same department. Further, he also received the MSc degree in Electrical Engineering from the Electrical Engineering Department, Minia University in 2023. Recently, he has been working as an Assistant Lecturer in the same department. His research interests focus on renewable energy systems, electric machine drives, and control systems. Mahmoud A. Mossa received the bachelor's and master's degrees in electrical engineering from the Faculty of Engineering, Minia University, Egypt, in 2008 and 2013, respectively, and a PhD degree in electrical engineering, in April 2018. Since January 2010, he has been working as an Assistant Lecturer at the Electrical Engineering Department, Minia University. In November 2014, he joined the Electric Drives Laboratory (EDLAB), University of Padova, Italy, for his PhD research activities. Since May 2018, he has been working as an Assistant Professor at the Electrical Engineering Department, Minia University. He occupied a Postdoctoral Fellow position at the Department of Industrial Engineering, University of Padova for six months during the academic year 2021/2022. He is an Associate Editor in International Journal of Robotics and Control Systems. His research interests include renewable energy systems, power management, control systems, electric machine drives, power electronics, optimization, and load frequency control. Ahmed A. Hassan received the BSc and MSc, degrees from Assiut University, Egypt, and the PhD degree from Minia University, Egypt, all in electrical engineering, in 1976, 1982 and 1988 respectively. Since 2001, he has been a Professor with the Electrical Engineering Department, Minia University. He was also the Dean of the faculty of Computer Science and Information in the same university. His current interests include the application of advanced control techniques to electrical machine drives.
Introduction. Chapter 1. Literature Review. 1.1. Introduction. 1.2. Wind
Driven SG. 1.3. Wind Driven IG. 1.4. Field Orientation Control (FOC) of
DFIG. 1.5. Model Predictive Control (MPC) of DFIG. Chapter 2. Modeling of
the Wind Energy Conversion System Components. 2.1. Mathematical Model of
DFIG. 2.2. Modeling of the Wind Turbine. 2.3. Mathematical Model of the
Isolated Load under Study. 2.4. Modeling of Rotor Side Converter (VSI).
Chapter 3. Analyzing and Enhancing the Performance of a Standalone Variable
Speed DFIG. 3.1. Control Schemes Adopted for the Standalone DFIG. 3.2.
Adopted Control Scheme for the Load. 3.3. Computation Results. Chapter 4.
Dynamic Performance Analysis of an Alternative Operating Regime of DFIG
(Grid Connected Case). 4.1. Adopted Control Schemes for the Grid Connected
DFIG. 4.2. Computation Results. Chapter 5. Conclusions and Recommendations
for Future Work. 5.1. Conclusions. 5.2. Recommendations for Future Work.
Appendix. References.
Driven SG. 1.3. Wind Driven IG. 1.4. Field Orientation Control (FOC) of
DFIG. 1.5. Model Predictive Control (MPC) of DFIG. Chapter 2. Modeling of
the Wind Energy Conversion System Components. 2.1. Mathematical Model of
DFIG. 2.2. Modeling of the Wind Turbine. 2.3. Mathematical Model of the
Isolated Load under Study. 2.4. Modeling of Rotor Side Converter (VSI).
Chapter 3. Analyzing and Enhancing the Performance of a Standalone Variable
Speed DFIG. 3.1. Control Schemes Adopted for the Standalone DFIG. 3.2.
Adopted Control Scheme for the Load. 3.3. Computation Results. Chapter 4.
Dynamic Performance Analysis of an Alternative Operating Regime of DFIG
(Grid Connected Case). 4.1. Adopted Control Schemes for the Grid Connected
DFIG. 4.2. Computation Results. Chapter 5. Conclusions and Recommendations
for Future Work. 5.1. Conclusions. 5.2. Recommendations for Future Work.
Appendix. References.
Introduction. Chapter 1. Literature Review. 1.1. Introduction. 1.2. Wind
Driven SG. 1.3. Wind Driven IG. 1.4. Field Orientation Control (FOC) of
DFIG. 1.5. Model Predictive Control (MPC) of DFIG. Chapter 2. Modeling of
the Wind Energy Conversion System Components. 2.1. Mathematical Model of
DFIG. 2.2. Modeling of the Wind Turbine. 2.3. Mathematical Model of the
Isolated Load under Study. 2.4. Modeling of Rotor Side Converter (VSI).
Chapter 3. Analyzing and Enhancing the Performance of a Standalone Variable
Speed DFIG. 3.1. Control Schemes Adopted for the Standalone DFIG. 3.2.
Adopted Control Scheme for the Load. 3.3. Computation Results. Chapter 4.
Dynamic Performance Analysis of an Alternative Operating Regime of DFIG
(Grid Connected Case). 4.1. Adopted Control Schemes for the Grid Connected
DFIG. 4.2. Computation Results. Chapter 5. Conclusions and Recommendations
for Future Work. 5.1. Conclusions. 5.2. Recommendations for Future Work.
Appendix. References.
Driven SG. 1.3. Wind Driven IG. 1.4. Field Orientation Control (FOC) of
DFIG. 1.5. Model Predictive Control (MPC) of DFIG. Chapter 2. Modeling of
the Wind Energy Conversion System Components. 2.1. Mathematical Model of
DFIG. 2.2. Modeling of the Wind Turbine. 2.3. Mathematical Model of the
Isolated Load under Study. 2.4. Modeling of Rotor Side Converter (VSI).
Chapter 3. Analyzing and Enhancing the Performance of a Standalone Variable
Speed DFIG. 3.1. Control Schemes Adopted for the Standalone DFIG. 3.2.
Adopted Control Scheme for the Load. 3.3. Computation Results. Chapter 4.
Dynamic Performance Analysis of an Alternative Operating Regime of DFIG
(Grid Connected Case). 4.1. Adopted Control Schemes for the Grid Connected
DFIG. 4.2. Computation Results. Chapter 5. Conclusions and Recommendations
for Future Work. 5.1. Conclusions. 5.2. Recommendations for Future Work.
Appendix. References.