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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) |
| 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-9910876794603321 |
Schulte Horst
|
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 electronic resource (290 p.) |
| Soggetto topico | Mechanical engineering & materials |
| Soggetto non controllato |
Computational Intelligence
Data Mining Deep Learning Machinelles Lernen Evolutionäre Algorithmen Machine Learning Evolutionary Algorithms |
| 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 | ||
| ||
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 electronic resource (320 p.) |
| Soggetto topico | Mechanical engineering & materials |
| Soggetto non controllato |
Maschinelles Lernen
Deep Learning Computational Intelligence Künstliche Intelligenz Neuronale Netze Maschine Learning Artificial Intelligence Neural Networks |
| 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 | ||
| ||
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 electronic resource (280 p.) |
| Soggetto topico | Mechanical engineering & materials |
| Soggetto non controllato |
Computational Intelligence
Maschinelles Lernen Deep Learning Fuzzy Systeme Datenanalyse Machine Learning Fuzzy Systems Data Mining |
| 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 | ||
| ||
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 | ||
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