Skip to:Content
|
Bottom
Cover image for Advanced control of grid-integrated renewable energy power plants : LMI-based control design in the Takagi-Sugeno framework
Title:
Advanced control of grid-integrated renewable energy power plants : LMI-based control design in the Takagi-Sugeno framework
Author:
Schulte, Horst, author.
ISBN:
9781119701415

9781119701408

9781119701286
Physical Description:
1 online resource (xiii, 269 pages) : illustrations
Contents:
Preface ix -- Acronyms xi -- Notation xiii -- 1 Introduction 1 -- 1.1 Energy Transition 1 -- 1.2 Problem Description 5 -- 1.3 Methodological Framework 9 -- 1.4 Topics of this Book 12 -- 2 Modeling of Wind Turbines 15 -- 2.1 Introduction 15 -- 2.2 First-Principle Modeling 16 -- 2.3.5 Multi-region Model for Controller Design 57 -- 2.4 Summary 60 -- 2.5 Problems 60 -- 2.6 Bibliography 61 -- 3 Control of Wind Turbines 63 -- 3.1 Introduction 63 -- 3.2 Baseline Generator-Torque and Blade-Pitch Controller 63 -- 3.3 Model-Based Control of WTs 72 -- 3.4 Model-Based Power Tracking 95 -- 3.5 Summary 111 -- 3.6 Problems 112 -- 3.7 Bibliography 113 -- 4 Modeling and Control of Photovoltaic Power Plants 115 -- 4.1 Introduction 115 -- 4.2 Modeling of PV Generators 116 -- 4.3 DC-DC Converter Modeling 121 -- 4.4 Voltage Control of PV Generators 131 -- 4.5 Demanded Power Tracking 147 -- 4.6 Summary 160 -- 4.7 Problems 160 -- 4.8 Bibliography 161 -- 5 Modeling and Control of Voltage Source Converters 163 -- 5.1 Introduction 163 -- 5.2 Three-Phase Signals and Systems 165 -- 5.3 Average and Instantaneous Power 169 -- 5.4 Reduced-Order VSC Model 173 -- 5.5 Power Injection in the Steady State 175 -- 5.6 Voltage Drop in the Steady State 176 -- 5.7 Selected Control Concepts 179 -- 5.8 Summary 190 -- 5.9 Problems 190 -- 5.10 Bibliography 191 -- 6 Advanced Grid Integration of PV and Wind Power Plants 193 -- 6.1 Introduction 193 -- 6.2 Description of Test Scenarios 194 -- 6.3 Integration of Wind Power Plants 197 -- 6.4 Integration of PV Power Plants 205 -- 6.5 Summary 210 -- 6.6 Problems 211 -- 6.7 Bibliography 212 -- A Modeling in the Takagi-Sugeno Framework 213 -- A.1 Introduction 213 -- A.2 Constructing TS Systems 214 -- B LMI Conditions for Stability Analysis and Controller Design 219 -- B.1 Introduction 219 -- B.2 Linear Matrix Inequalities 220 -- B.3 Stability Analysis of TS Systems 223 -- B.4 Relaxations 229 -- B.5 State Feedback Design for TS Systems 230 -- B.6 Observer Design for TS Systems 236 -- C Renewable Energy Sources 239 -- C.1 Wind Energy Systems 239 -- D Parameters of Renewable Energy Power Plants 243 -- D.1 Physical Constants 243 -- D.2 Wind Power Plant Parameters 243 -- D.3 PV Power Plant Parameters 243 -- D.4 VSC Parameters 245 -- D.5 Equivalent Grid Model Parameters 246 -- E Control Concept for Bumpless Transition Between Operating Regions 247 -- References 251 -- Index 265.
Abstract:
"This book is focused on model-based control design for renewable energy power plants (RPPs), formulated as convex optimization problems. These formulations allow for an automated generation of feed-forward gains, feedback, and observer gains with respect to the considered plant models, control requirements and design criteria. The aim of the book is to create a generic access to the problem of regenerative-energy power generation from the perspective of control engineering. (Takagi-Sugeno fuzzy models are nonlinear systems, in which the consequent part of a fuzzy rule is a mathematical formula, representing local dynamics. The strong property of the TSF can find several applications modeling dynamical systems that can be described by differential equations). The book requires a basic understanding of control engineering, modelling of dynamic systems, and control of electrical machines. For the practical exercises, knowledge of MATLAB/SIMULINK is an advantage, but not essential."-- Provided by publisher.
Local Note:
John Wiley and Sons
Holds:
Copies:

Available:*

Library
Material Type
Item Barcode
Shelf Number
Status
Item Holds
Searching...
E-Book 599176-1001 TJ164 .S345 2024
Searching...

On Order

Go to:Top of Page