This book proposes systemic design methodologies applied to electrical energy systems, in particular integrated optimal design with modeling and optimization methods and tools. It is made up of six chapters dedicated to integrated optimal design. First, the signal processing of mission profiles and system environment variables are discussed. Then, optimization-oriented analytical models, methods and tools (design frameworks) are proposed. A multi-level optimization smartly coupling several optimization processes is the subject of one chapter. Finally, a technico-economic optimization especially dedicated to electrical grids completes the book. The aim of this book is to summarize design methodologies based in particular on a systemic viewpoint, by considering the system as a whole. These methods and tools are proposed by the most important French research laboratories, which have many scientific partnerships with other European and international research institutions.
Scientists and engineers in the field of electrical engineering, especially teachers/researchers because of the focus on methodological issues, will find this book extremely useful, as will PhD and Masters students in this field.
Preface xi Chapter 1. Mission and Environmental Data Processing 1 Amine JAAFAR, Bruno SARENI and Xavier ROBOAM 1.1. Introduction 1 1.2. Considerations of the mission and environmental variables 3 1.3. New approach for the characterization of a representative mission 6 1.4. Classification of missions and environmental variables 16 1.5. Synthesis of mission and environmental variable profiles 21 1.6. From classification to simultaneous design by optimization of a hybrid traction chain 25 1.7. Conclusion 39 1.8. Bibliography 41 Chapter 2. Analytical Sizing Models for Electrical Energy Systems Optimization 45 Christophe ESPANET, Daniel DEPERNET, Anne-Claire SAUTTER and Zhenwei WU 2.1. Introduction 45 2.2. The problem of modeling for synthesis 46 2.3. System decomposition and model structure 55 2.4. General information about the modeling of the various possible components in an electrical energy system 60 2.5. Development of an electrical machine analytical model 61 2.6. Development of an analytical static converter model 73 2.7. Development of a mechanical transmission analytical model 82 2.8. Development of an analytical energy storage device model 91 2.9. Use of models for the optimum sizing of a system 91 2.10. Conclusions 102 2.11. Bibliography 103 Chapter 3. Simultaneous Design by Means of Evolutionary Computation 107 Bruno SARENI and Xavier ROBOAM 3.1. Simultaneous design of energy systems 107 3.2. Evolutionary algorithms and artificial evolution 113 3.3. Consideration of multiple objectives 119 3.4. Consideration of design constraints 123 3.5. Integration of robustness into the simultaneous design process 126 3.6. Example applications 130 3.7. Conclusions 150 3.8. Bibliography 151 Chapter 4. Multi-Level Design Approaches for Electro-Mechanical Systems Optimization 155 Stephane BRISSET, Frederic GILLON and Pascal BROCHET 4.1. Introduction 155 4.2. Multi-level approaches 156 4.3. Optimization using models with different granularities 160 4.4. Hierarchical decomposition of an optimization problem 178 4.5. Conclusion 187 4.6. Bibliography 188 Chapter 5. Multi-criteria Design and Optimization Tools 193 Benoit DELINCHANT, Laurence ESTRABAUD, Laurent GERBAUD and Frederic WURTZ 5.1. The CADES framework: example of a new tools approach 194 5.2. The system approach: a break from standard tools 195 5.3. Components ensuring interoperability around a framework 203 5.4. Some calculation modeling formalisms for optimization 210 5.5. The principles of automatic Jacobian generation 218 5.6. Services using models and their Jacobian 223 5.7. Applications of CADES in system optimization 227 5.8. Perspectives 231 5.9. Conclusions 238 5.10. Bibliography 239 Chapter 6. Technico-economic Optimization of Energy Networks 247 Guillaume SANDOU, Philippe DESSANTE, Marc PETIT and Henri BORSENBERGER 6.1. Introduction 247 6.2. Energy network modeling 249 6.3. Resolution of the energy network optimization problem for a deterministic case 255 6.4. Introduction to uncertainty consideration 266 6.5. Consideration of uncertainties on consumer demand 269 6.6. Consideration of uncertainties over production costs 273 6.7. From optimization to control 279 6.8. Conclusions 280 6.9. Bibliography 281 List of Authors 287 Index 291