Integrated Design by Optimization of Electrical Energy Systems

Xavier ROBOAM is a Senior Scientist at Laboratory on Plasma and Conversion of Energy, University Paul Sabatier, Toulouse, France.

• Preface xiChapter 1. Mission and Environmental Data Processing 1Amine JAAFAR, Bruno SARENI and Xavier ROBOAM1.1. Introduction 11.2. Considerations of the mission and environmental variables 31.3. New approach for the characterization of a “representative mission” 61.4. Classification of missions and environmental variables 161.5. Synthesis of mission and environmental variable profiles 211.6. From classification to simultaneous design by optimization of a hybrid traction chain 251.7. Conclusion 391.8. Bibliography 41Chapter 2. Analytical Sizing Models for Electrical Energy Systems Optimization 45Christophe ESPANET, Daniel DEPERNET, Anne-Claire SAUTTER and Zhenwei WU2.1. Introduction 452.2. The problem of modeling for synthesis 462.3. System decomposition and model structure 552.4. General information about the modeling of the various possible components in an electrical energy system 602.5. Development of an electrical machine analytical model 612.6. Development of an analytical static converter model 732.7. Development of a mechanical transmission analytical model 822.8. Development of an analytical energy storage device model 912.9. Use of models for the optimum sizing of a system 912.10. Conclusions 1022.11. Bibliography 103Chapter 3. Simultaneous Design by Means of Evolutionary Computation 107Bruno SARENI and Xavier ROBOAM3.1. Simultaneous design of energy systems 1073.2. Evolutionary algorithms and artificial evolution 1133.3. Consideration of multiple objectives 1193.4. Consideration of design constraints 1233.5. Integration of robustness into the simultaneous design process 1263.6. Example applications 1303.7. Conclusions 1503.8. Bibliography 151Chapter 4. Multi-Level Design Approaches for Electro-Mechanical Systems Optimization 155Stéphane BRISSET, Frédéric GILLON and Pascal BROCHET4.1. Introduction 1554.2. Multi-level approaches 1564.3. Optimization using models with different granularities 1604.4. Hierarchical decomposition of an optimization problem 1784.5. Conclusion 1874.6. Bibliography 188Chapter 5. Multi-criteria Design and Optimization Tools 193Benoit DELINCHANT, Laurence ESTRABAUD, Laurent GERBAUD and Frédéric WURTZ5.1. The CADES framework: example of a new tools approach 1945.2. The system approach: a break from standard tools 1955.3. Components ensuring interoperability around a framework 2035.4. Some calculation modeling formalisms for optimization 2105.5. The principles of automatic Jacobian generation 2185.6. Services using models and their Jacobian 2235.7. Applications of CADES in system optimization 2275.8. Perspectives 2315.9. Conclusions 2385.10. Bibliography 239Chapter 6. Technico-economic Optimization of Energy Networks 247Guillaume SANDOU, Philippe DESSANTE, Marc PETIT and Henri BORSENBERGER6.1. Introduction 2476.2. Energy network modeling 2496.3. Resolution of the energy network optimization problem for a deterministic case 255 6.4. Introduction to uncertainty consideration 2666.5. Consideration of uncertainties on consumer demand 2696.6. Consideration of uncertainties over production costs 2736.7. From optimization to control 2796.8. Conclusions 2806.9. Bibliography 281List of Authors 287Index 291

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