Electrical Energy Storage in Transportation Systems

Inbunden, Engelska, 2016

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Beskrivning

This book deals with the management and valuation of energy storage in electric power grids, highlighting the interest of storage systems in grid applications and developing management methodologies based on artificial intelligence tools. The authors highlight the importance of storing electrical energy, in the context of sustainable development, in "smart cities" and "smart transportation", and discuss multiple services that storing electrical energy can bring.Methodological tools are provided to build an energy management system storage following a generic approach. These tools are based on causal formalisms, artificial intelligence and explicit optimization techniques and are presented throughout the book in connection with concrete case studies.

Produktinformation

Utgivningsdatum:2016-08-16
Mått:165 x 241 x 28 mm
Vikt:671 g
Format:Inbunden
Språk:Engelska
Antal sidor:348
Förlag:ISTE Ltd and John Wiley & Sons Inc
ISBN:9781848219809

Utforska kategorier

Arkitektur inom Kultur
Byggnadsteknik inom Naturvetenskap och teknik

Mer om författaren

Benoît Robyns is Research Director at the École des Hautes Etudes d'Ingénieur (HEI) in Lille, France.Christophe Saudemont is Professor at the École des Hautes Etudes d'Ingénieur (HEI) in Lille, France.Daniel Hissel is Full Professor at University Bourgogne Franche-Comté in Belfort, France.Xavier Roboam is CNRS Research Director at LAPLACE (Laboratory of plasma and conversion of energy) in Toulouse, France.Bruno Sareni is Full Professor at the University of Toulouse, INP-ENSEEIHT, France and the LAPLACE research laboratory.Julien Pouget is Research Engineer for the French national railway company, SNCF, France.

Innehållsförteckning

Foreword ixIntroduction xiChapter 1. Issues in Electrical Energy Storage for Transport Systems 11.1. Storage requirements for transport systems 11.2. Difficulties of storing electrical energy 31.3. The electrical power supply of transport systems 61.4. Storage management 81.4.1. Specifications 111.4.2. Supervisor structure 111.4.3. Functional graphs 111.4.4. Membership functions 121.4.5. Functional graphs 141.4.6. Rules 151.4.7. Indicators 151.4.8. Optimization of supervisor parameters 161.4.9. Type-2 fuzzy logic 171.4.10. Methodologies for the development of energy management in a storage system 17Chapter 2. Local DC Grid with Energy Exchange for Applications in Aviation 192.1. Introduction 192.2. Onboard grid 222.3. Local DC grid 232.4. Supervisor design methodology 262.5. Specifications 272.5.1. Objectives 272.5.2. Constraints 272.5.3. Means of action 272.6. Supervisor structure 282.6.1. Input values 282.6.2. Output values 282.7. Selection of design tools 292.8. Identification of different operating states: the functional graph 312.8.1. General functional graph 312.8.2. Functional subgraphs 332.9. Tools 412.10. Membership functions 412.11. Operational graph 452.12. Fuzzy rules 532.13. Experimental validation 572.13.1. Supervisor implementation 572.13.2. Experimental configuration 622.13.3. Results and analyses 632.14. Fuzzy supervisor optimization 722.14.1. Supervisor optimization methodology based on fuzzy rules 722.14.2. Application at levels N1 and N2 782.15. Conclusion 92Chapter 3. Electric and Hybrid Vehicles 953.1. Introduction 953.2. Storage technologies in hybrids and EVs 993.3. Development of EVs and interaction with electric power grids 1003.3.1. Issues in the development of EVs 1003.3.2. Charge of EVs 1013.3.3. Issues in the electric power grid integration 1023.4. EV charging supervision 1033.4.1. Introduction 1033.4.2. EV charging models 1043.4.3. Electric power distribution grid 1083.4.4. Supervision 1123.4.5. Results 1223.5. The reversible charge of EVs 1253.5.1. Introduction 1253.5.2. Vehicle-to-grid and contribution of the reversible charge to the electric power grids 1253.5.3. Vehicle-to-home and contribution of the reversible charge to buildings 1273.6. Configurations and operating principle of HV 1283.6.1. Hybridization levels 1283.6.2. Configurations of power trains 1293.7. Energy management in a hybrid vehicle 1313.7.1. Introduction 1313.7.2. Fuzzy logic for energy management 1323.7.3. Type-2 fuzzy logic 1323.7.4. Application to the energy management of an EV 1393.8. Conclusion 146Chapter 4. Railway System: Diesel–Electric Hybrid Power Train 1474.1. Introduction 1474.2. Design of an autonomous hybrid locomotive 1514.2.1. Introduction to the issues in design and energy management within the framework of the PLATHEE project 1514.2.2. Frequency management strategy 1574.2.3. Importance and processing of railway assignments 1634.2.4. Sequential design: from dimensioning to analysis 1714.2.5 Implementation of the PLATHEE demonstrator 2004.3. Conclusion 2164.4. Exercise: definition of the energy requirements in the railway sector and application of storage to electric traction 2174.4.1. Kinematic study of a train 2184.4.2. Study on energy profile of a train 2274.4.3. Basic design and comparison of energy storage system technologies for railway applications 2404.5. Appendices 2494.5.1. Technical characteristics of storage sources and components carried on board the PLATHEE 249Chapter 5. Railway System: Hybrid Railway Power Substation 2555.1. Introduction 2555.2. Hybrid railway power substations 2605.2.1. Issues in the railway electrification system 2605.2.2. The HRPS solution 2655.2.3. State-of-the-art of the HRPS 2675.3. Energy management in an HRPS 2795.3.1. Methodology 2795.3.2. Technical specifications 2805.3.3. Supervisor structure 2835.3.4. Determination of the functional graphs of the short-term supervisor 2845.3.5. Membership functions 2895.3.6. Determination of functional graphs 2915.3.7. Fuzzy rules 2955.3.8. Performance indicators 2955.3.9. Modeling and results 2985.3.10. Energy management optimization 3025.4. Experimentation of an HRPS and sensitivity analysis 3095.5. Railway smart grid perspective 3165.6. Conclusion 3185.7. Acknowledgments 318Bibliography 319Index 329