Integrated Design by Optimization of Electrical Energy Systems

Preface xi Chapter 1. Mission and Environmental Data Processing1 Amine JAAFAR, Bruno SARENI and Xavier ROBOAM 1.1. Introduction 1 1.2. Considerations of the mission and environmental variables3 1.3. New approach for the characterization of a"representative mission" 6 1.4. Classification of missions and environmental variables16 1.5. Synthesis of mission and environmental variable profiles21 1.6. From classification to simultaneous design by optimizationof a hybrid traction chain 25 1.7. Conclusion 39 1.8. Bibliography 41 Chapter 2. Analytical Sizing Models for Electrical EnergySystems Optimization 45 Christophe ESPANET, Daniel DEPERNET, Anne-Claire SAUTTER andZhenwei 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 variouspossible components in an electrical energy system 60 2.5. Development of an electrical machine analytical model61 2.6. Development of an analytical static converter model 73 2.7. Development of a mechanical transmission analytical model82 2.8. Development of an analytical energy storage device model91 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 EvolutionaryComputation 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 designprocess 126 3.6. Example applications 130 3.7. Conclusions 150 3.8. Bibliography 151 Chapter 4. Multi-Level Design Approaches forElectro-Mechanical Systems Optimization 155 Stéphane BRISSET, Frédéric GILLON and PascalBROCHET 4.1. Introduction 155 4.2. Multi-level approaches 156 4.3. Optimization using models with different granularities160 4.4. Hierarchical decomposition of an optimization problem178 4.5. Conclusion 187 4.6. Bibliography 188 Chapter 5. Multi-criteria Design and Optimization Tools193 Benoit DELINCHANT, Laurence ESTRABAUD, Laurent GERBAUD andFrédéric WURTZ 5.1. The CADES framework: example of a new tools approach194 5.2. The system approach: a break from standard tools 195 5.3. Components ensuring interoperability around a framework203 5.4. Some calculation modeling formalisms for optimization210 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 Networks247 Guillaume SANDOU, Philippe DESSANTE, Marc PETIT and HenriBORSENBERGER 6.1. Introduction 247 6.2. Energy network modeling 249 6.3. Resolution of the energy network optimization problem for adeterministic 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 costs273 6.7. From optimization to control 279 6.8. Conclusions 280 6.9. Bibliography 281 List of Authors 287 Index 291