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|b eng
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|a 9811412677
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|a 9789811412677
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|a (OCoLC)1113887847
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|a TJ820
|b .A43 2019
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|a HCDD
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|a Amrane, Fayssal
|e author.
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|a Improved Indirect Power Control (IDPC) of Wind Energy Conversion Systems (WECS) /
|c authored by Fayssal Amrane, Azeddine Chaiba.
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|a Singapore :
|b Bentham Science Publishers,
|c 2019.
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|a 1 online resource (148 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a Includes bibliographical references and index.
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|a Description based upon online resource; title from PDF title page (viewed December 10, 2021).
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|a Wind power capacity in the world has been increased by more than 30% over the last decade in countries which have prominent installations. Wind energy conversion systems (WECSs) based on the doubly-fed induction generator (DFIG) have dominated the wind power generation sector due to the outstanding advantages they provide, including small converter ratings (around 30% of the generator rating) and lower converter costs. Due to the non-linearity of wind power systems, the DFIG power control setup presents a big challenge especially under conditions of high variance in wind-speed and parameter se.
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|a Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Foreword -- Preface -- HOW TO USE THIS BOOK -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- General Introduction -- 1. INTRODUCTION -- 2. THE MAIN CONTRIBUTIONS -- 3. WORK LIMITATIONS -- REFERENCES -- Overview of Wind Energy Conversion Systems (WECS) -- 1. WIND POWER DEVELOPMENT -- 2. WIND TURBINE CONCEPTS -- 2.1. Fixed Speed Wind Turbines (WT Type A) -- 2.2. Partial Variable Speed Wind Turbine (VS-WT) Using Variable Rotor Resistance (Type B) -- 2.3. VS-WT Using Partial Scale Power Converter (WT Type C) -- A-Advantages of the DFIG [7] -- B-Drawbacks of the DFIG [8 -- 11] -- 2.4. VS-WT using Full Scale Power Converter (Type D) -- 3. CONTROL STRUCTURE OF WTS -- 4. LITERATURE SURVEY -- 4.1. Modelling of a WTGS -- A- Modelling of DFIG -- 4.2. Control Strategies for a WT-GS -- A-Maximum Power Point Tracking (MPPT) Control -- A.1 Intelligent Control -- A.2 Other Control Strategies -- B-DFIG Control -- B.1 Field Oriented Control -- B.2 Direct Torque/Power Control (DTC/DPC) -- B.3 Adaptive Nonlinear Control (MRAS Observer/MRAC Controller) -- B.4 Adaptive Disturbance Rejection Control (ADRC) -- B.5 Sliding Mode Control (SMC) -- B.6 Backstepping Control (BSC) -- B.7 Predictive Direct Power Control (PDPC) and Deadbeat Control -- B.8 Input/Output Linearizing and Decoupling Control -- NOTES -- REFERENCES -- Indirect Power Control (IDPC) of DFIG Using Classical & -- Adaptive Controllers Under MPPT Strategy -- 1. INTRODUCTION -- 2. MATHEMATICAL MODEL OF DFIG -- 3. CONVENTIONAL INDIRECT POWER CONTROL (IDPC) OF DFIG -- 3.1. Relationship Between Rotor Voltages and Rotor Currents (Generally Form) -- 3.2. Relationship Between Stator Power and Rotor Currents -- 3.3. Relationship Between Rotor Voltages and Rotor Currents (Detailed Form).
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|a 3.4. Synthesis of the Proportional-Integral (PI) Regulator -- 4. WIND TURBINE MATHEMATICAL MODEL -- 4.1. Maximum Power Point Tracking (MPPT) Strategy -- 5. GRID SIDE CONVERTER (GSC) AND DC-LINK VOLTAGE CONTROL [27 -- 29] -- 6. ROTOR SIDE CONVERTER (RSC) -- 6.1. Space Vector Modulation (SVM) [31, 32] -- 6.2. LC Filter -- 7. OPERATING PRINCIPLE OF DFIG -- 8. EXPERIMENTAL RESULTS OF CLASSICAL POWER CONTROL UNDER SUB-SYNCHRONOUS & -- SUPER-SYNCHRONOUS OPERATIONS -- 9. PROPOSED IDPC BASED ON PID CONTROLLERS -- 9.1. Advantages -- 9.2. Drawbacks -- 10. PROPOSED IDPC BASED ON MRAC CONTROLLERS -- 10.1. Definition -- 10.2. Description -- 10.3. Some Mechanisms Causing Variation in Process Dynamics Are -- 10.4. Advantages -- 10.5. Drawbacks -- 11. SIMULATION RESULTS -- 11.1. Mode 1 (Based on PI, PID and MRAC Without MPPT Strategy) -- 11.2. Mode 2 (Based on PI, PID and MRAC with MPPT Strategy- Step Wind Speed) -- 11.3. Mode 3 (Based on PI, PID and MRAC with MPPT Strategy- Random Wind Speed) -- 11.4. Robustness Tests12 for Mode 1, Mode 2 & -- Mode 3 -- CONCLUSION -- NOTES -- REFERENCES -- A Novel IDPC using Suitable Controllers (Robust and Intelligent Controllers) -- 1. INTRODUCTION -- 2. DRAWBACKS AND PERFORMANCES LIMITATION OF CONVENTIONAL IDPC -- 3. PROPOSED POWER CONTROL BASED ON TYPE-1 FUZZY LOGIC CONTROL (T1-FLC) -- 3.1. Reasons for Choosing Fuzzy Logic -- 3.2. Fuzzy Set Theory and Fuzzy Set Operations -- 3.3. Membership Functions -- 3.4. Mamdani Fuzzy Inference Method -- A- Fuzzifier -- B- Knowledge Base -- C- Inference Engine -- D- Defuzzifier -- 3.5. MEMBERSHIP FUNCTIONS AND RULE BASE -- 4. PROPOSED POWER CONTROL BASED ON TYPE-2 FUZZY LOGIC CONTROL (T2-FLC) -- 4.1. Overview of Type-2 Fuzzy Logic Controller Toolbox -- 4.2. Design of Type-2 Fuzzy Logic Controller -- 5. PROPOSED POWER CONTROL BASED ON NEURO-FUZZY CONTROL (NFC).
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|a 5.1. Layer I: Input layer -- 5.2. Layer II: membership layer -- 5.3. Layer III: rule layer -- 5.4. Layer IV: output layer -- 6. SIMULATION RESULTS -- 6.1. Mode 1 (Based on T1-FLC, T2-FLC 3x0026 -- NFC, Without MPPT Strategy) -- A-Novel IDPC based on T1-FLC: (Fig. 4.16 to the left side): -- B-Novel IDPC based on T2-FLC: (Fig. 4.16 to the middle side): -- C-Novel IDPC based on NFC: (Fig. 4.16 to the right side): -- 6.2. Mode 2 (Based on T1-FLC, T2-FLC NFC, with MPPT Strategy- Step Wind Speed) -- A- Novel IDPC based on T1-FLC: (Fig. 4.17 to the left side): -- B- Novel IDPC based on T2-FLC: (Fig. 4.17 to the middle side): -- C- Novel IDPC based on NFC: (Fig. 4.17 to the right side): -- B-Novel IDPC based on T2-FLC: (Fig. 4.18 to the middle side): -- C-Novel IDPC based on NFC: (Fig. 4.18 to the right side): -- 6.3. Mode 3 (Based on T1-FLC, T2-FLC NFC, with MPPT Strategy- Random wind Speed) -- A-Novel IDPC based on T1-FLC: (Fig. 4.19 to the Left Side): -- B-Novel IDPC based on T2-FLC: (Fig. 4.19 to the Middle Side): -- C-Novel IDPC based on NFC: (Fig. 4.19 to the Right Side): -- 6.4. Robustness Tests7 for Mode 1, Mode 2 Mode 3 -- A-Mode 1 (Novel IDPC based on T1-FLC, T2-FLC NFC): -- B-Mode 2 (Novel IDPC based on T1-FLC, T2-FLC NFC): -- C-Mode 3 (Novel IDPC based on T1-FLC, T2-FLC NFC): -- 7. WIND-SYSTEM PERFORMANCES RECAPITULATION UNDER SIX (06) PROPOSED IDPC ALGORITHMS -- CONCLUSION -- NOTES -- REFERENCES -- General Conclusion -- 5.1. FUTURE WORKS -- APPENDIX A: WECS PARAMETERS -- List of Abbreviations -- List of Acronymes -- Subject Index -- Back Cover.
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|a Wind energy conversion systems.
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|a Renewable energy sources.
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|a Renewable energy sources
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|a Wind energy conversion systems
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|a Chaiba, Azeddine
|e author.
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|i has work:
|a IMPROVED INDIRECT POWER CONTROL (IDPC) OF WIND ENERGY CONVERSION SYSTEMS (WECS) (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCYkThpKfyTpRxFRTPxcJcK
|4 https://id.oclc.org/worldcat/ontology/hasWork
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|i Print version:
|a Amrane, Fayssal.
|t Improved Indirect Power Control (IDPC) of Wind Energy Conversion Systems (WECS).
|d Sharjah : Bentham Science Publishers, ©2019
|z 9789811412660
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| 856 |
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|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=5849294
|y Click for online access
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