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Advanced Control of Grid-Integrated Renewable Energy Power Plants : LMI-Based Design in the Takagi-Sugeno Framework
Advanced Control of Grid-Integrated Renewable Energy Power Plants : LMI-Based Design in the Takagi-Sugeno Framework
Autore Schulte Horst
Edizione [1st ed.]
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2024
Descrizione fisica 1 online resource (286 pages)
Disciplina 621.042
Collana IEEE Press Series
Soggetto topico Electric power systems
Renewable energy sources
ISBN 9781119701415
1119701414
9781119701408
1119701406
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright -- Contents -- Preface -- Acronyms -- Notation -- Chapter 1 Introduction -- 1.1 Energy Transition -- 1.2 Problem Description -- 1.3 Methodological Framework -- 1.4 Topics of this Book -- Chapter 2 Modeling of Wind Turbines -- 2.1 Introduction -- 2.2 First‐Principle Modeling -- 2.2.1 Energy Capturing: Actuator Disc Concept -- 2.2.1.1 Power Coefficient -- 2.2.1.2 Thrust Coefficient -- 2.2.2 Essentials of Rotor Blade Theory for Control Purpose -- 2.2.3 The cP-λ, cQ-λ, and cT-λ Curves -- 2.2.4 Wind Turbine Models with 1‐ and 4‐DOF -- 2.2.5 Simulation‐Based Model Validation -- 2.3 Control‐Oriented Models in TS Form -- 2.3.1 Partial‐ and Full‐Load Operating Region -- 2.3.2 Single‐Region 1‐DOF Models -- 2.3.3 Single‐Region 2‐ and 3‐DOF Models -- 2.3.3.1 Model with Tower and Rotor DOF -- 2.3.3.2 Model with Tower, Elastic Drive Train, and Rotor DOF -- 2.3.3.3 Model with Tower, Blades, and Rotor DOF -- 2.3.4 Multi‐region Model for Disturbance Observer Design -- 2.3.5 Multi‐region Model for Controller Design -- 2.4 Summary -- 2.5 Problems -- 2.6 Bibliography -- Chapter 3 Control of Wind Turbines -- 3.1 Introduction -- 3.2 Baseline Generator‐Torque and Blade‐Pitch Controller -- 3.3 Model‐Based Control of WTs -- 3.3.1 Control Scheme -- 3.3.2 Effective Wind Speed and State Observer -- 3.3.3 State Feedback Design for Partial‐ and Full‐Load Operating Region -- 3.3.3.1 Design of a Full‐Load Region Control with State Feedback -- 3.3.3.2 Control‐Design of Partial‐Load Operating Region -- 3.3.3.3 Control Concept for Bumpless Transition Between Operating Regions -- 3.4 Model‐Based Power Tracking -- 3.4.1 Introduction -- 3.4.2 Governor Concept of Synchronous Machines -- 3.4.3 Control‐Oriented Models and Schemes -- 3.4.3.1 Control‐Oriented Model and Control Scheme for v ≥ vrated -- 3.4.3.2 Control‐Oriented Model and Scheme for v <.
vrated -- 3.4.4 State Feedback and Feedforward Design for Power Tracking -- 3.4.4.1 Controller Design for v ≥ vrated -- 3.4.4.2 Controller Design for v < -- vrated -- 3.5 Summary -- 3.6 Problems -- 3.7 Bibliography -- Chapter 4 Modeling and Control of Photovoltaic Power Plants -- 4.1 Introduction -- 4.2 Modeling of PV Generators -- 4.3 DC-DC Converter Modeling -- 4.3.1 Overview of Switched‐Mode Converter -- 4.3.2 Generic State‐Space Average Models -- 4.3.3 Circuit Design and Simulation -- 4.4 Voltage Control of PV Generators -- 4.4.1 Control‐Oriented State‐Space Model -- 4.4.2 State‐Feedback Design -- 4.5 Demanded Power Tracking -- 4.5.1 Overall Control Structure -- 4.5.2 Model‐Based Power Tracking -- 4.5.2.1 Performance and Robustness Analysis of the Cascaded Controller -- 4.5.3 Model‐Free Power Tracking -- 4.6 Summary -- 4.7 Problems -- 4.8 Bibliography -- Chapter 5 Modeling and Control of Voltage Source Converters -- 5.1 Introduction -- 5.2 Three‐Phase Signals and Systems -- 5.3 Average and Instantaneous Power -- 5.4 Reduced‐Order VSC Model -- 5.5 Power Injection in the Steady State -- 5.6 Voltage Drop in the Steady State -- 5.7 Selected Control Concepts -- 5.7.1 Control and Functional Requirements -- 5.7.2 Control Scheme of Grid‐Following VSC -- 5.7.2.1 PQ Control of Grid‐Following VSC -- 5.7.2.2 Current Control of GFL Voltage Source Converter -- 5.7.3 Control Scheme of Grid‐Forming VSC -- 5.7.3.1 PQ Control by Direct Droop‐Based Voltage Control -- 5.7.4 Grid‐Forming VSC Control With Inner‐Loop Current Regulator -- 5.7.4.1 PQ Control as Reference Signal Generator for Lower‐Level Control -- 5.8 Summary -- 5.9 Problems -- 5.10 Bibliography -- Chapter 6 Advanced Grid Integration of PV and Wind Power Plants -- 6.1 Introduction -- 6.2 Description of Test Scenarios -- 6.3 Integration of Wind Power Plants -- 6.3.1 Response to Active Power Request.
6.3.2 Decrease in Wind Inflow -- 6.3.3 Response to Reactive Power Request -- 6.3.4 Grid Disturbance Rejection -- 6.4 Integration of PV Power Plants -- 6.4.1 Response to Active Power Request -- 6.4.2 RES Fluctuation: Irradiation Step -- 6.4.3 Response to Reactive Power Request -- 6.4.4 Grid Disturbance Rejection -- 6.5 Summary -- 6.6 Problems -- 6.7 Bibliography -- A Modeling in the Takagi-Sugeno Framework -- A.1 Introduction -- A.2 Constructing TS Systems -- A.2.1 Sector‐Nonlinearity Approach -- A.2.2 Taylor Linearization and Interpolation -- B LMI Conditions for Stability Analysis and Controller Design -- B.1 Introduction -- B.2 Linear Matrix Inequalities -- B.2.1 Basics -- B.2.2 Suitable Auxiliary Lemmas -- B.3 Stability Analysis of TS Systems -- B.3.1 Stability of Unforced TS Systems -- B.3.1.1 Asymptotic Stability -- B.3.1.2 ‐Stability -- B.4 Relaxations -- B.5 State Feedback Design for TS Systems -- B.5.1 Pole Region Specification -- B.5.2 Minimization of Mj -- B.5.3 Stability of Forced Systems -- B.5.3.1 Disturbance Rejection -- B.5.3.2 Input‐to‐State Stability -- B.6 Observer Design for TS Systems -- B.6.1 Pole Region Specification for Observer Design -- C Renewable Energy Sources -- C.1 Wind Energy Systems -- C.1.1 Froude's Actuator Disc Theory (Froude-Rankine Theorem) -- C.1.2 Rotor‐Equivalent Wind Speed -- C.1.3 Membership Functions and Matrices of TS Multi‐region Model -- D Parameters of Renewable Energy Power Plants -- D.1 Physical Constants -- D.2 Wind Power Plant Parameters -- D.3 PV Power Plant Parameters -- D.4 VSC Parameters -- D.5 Equivalent Grid Model Parameters -- E Control Concept for Bumpless Transition Between Operating Regions -- References -- Index -- EULA.
Record Nr. UNINA-9911018906303321
Schulte Horst  
Newark : , : John Wiley & Sons, Incorporated, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020
Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020
Autore Schulte Horst
Pubbl/distr/stampa Karlsruhe, : KIT Scientific Publishing, 2020
Descrizione fisica 1 online resource (290 p.)
Soggetto topico Mechanical engineering & materials
Soggetto non controllato Computational Intelligence
Data Mining
Deep Learning
Evolutionäre Algorithmen
Evolutionary Algorithms
Machine Learning
Machinelles Lernen
ISBN 1000124139
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Altri titoli varianti Proceedings - 30. Workshop Computational Intelligence
Record Nr. UNINA-9910586568603321
Schulte Horst  
Karlsruhe, : KIT Scientific Publishing, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021
Proceedings - 31. Workshop Computational Intelligence : Berlin, 25. - 26. November 2021
Autore Schulte Horst
Pubbl/distr/stampa Karlsruhe, : KIT Scientific Publishing, 2021
Descrizione fisica 1 online resource (320 p.)
Soggetto topico Mechanical engineering & materials
Soggetto non controllato Artificial Intelligence
Computational Intelligence
Deep Learning
Künstliche Intelligenz
Maschine Learning
Maschinelles Lernen
Neural Networks
Neuronale Netze
ISBN 1000138532
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Altri titoli varianti Proceedings - 31. Workshop Computational Intelligence
Record Nr. UNINA-9910513700803321
Schulte Horst  
Karlsruhe, : KIT Scientific Publishing, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022
Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022
Autore Schulte Horst
Pubbl/distr/stampa Karlsruhe, : KIT Scientific Publishing, 2022
Descrizione fisica 1 online resource (280 p.)
Soggetto topico Mechanical engineering and materials
Soggetto non controllato Computational Intelligence
Data Mining
Datenanalyse
Deep Learning
Fuzzy Systeme
Fuzzy Systems
Machine Learning
Maschinelles Lernen
ISBN 1000151141
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Altri titoli varianti Proceedings - 32. Workshop Computational Intelligence
Record Nr. UNINA-9910634081903321
Schulte Horst  
Karlsruhe, : KIT Scientific Publishing, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024
Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024
Autore Schulte Horst
Pubbl/distr/stampa KIT Scientific Publishing, 2024
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Record Nr. UNINA-9910918092203321
Schulte Horst  
KIT Scientific Publishing, 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024
Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024
Autore Schulte Horst
Pubbl/distr/stampa KIT Scientific Publishing, 2024
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Record Nr. UNINA-9910985986503321
Schulte Horst  
KIT Scientific Publishing, 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui