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METAHEURISTICS FOR BIG DATA
Título:
METAHEURISTICS FOR BIG DATA
Subtítulo:
Autor:
JOURDAN, L
Editorial:
WILEY ISTE
Año de edición:
2016
ISBN:
978-1-84821-806-2
Páginas:
212
92,50 €

 

Sinopsis

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.



Table of Contents

1. Storage of electrical energy in transport and buildings

2. Embedded networks in aeronautics

2.1. Introduction

2.2. DC reversible networks in aerospace

2.3. Energy management

2.4. Supervisor, storage system and power electronics optimization

2.5. Real time implementation and experiments

2.6. Bibliography

3 Electric and hybrid vehicles

3.1. Introduction

3.2. Hybrid vehicles management

3.2.1 Problematic

3.2.1 Different architectures

3.2.1.1 Hybridation level

3.2.1.1.1 Micro-hybrid

3.2.1.1.2 Mid-hybrid

3.2.1.1.3 Full-hybrid

3.2.1.2 Mechanical architectures

3.2.1.2.1 Parallel hybrid

3.2.1.2.2 Series hybrid

3.2.1.2.3 Series-parallel hybrid

3.2.2. Energy management

3.3. Integration into electrical grid

3.3.1 Problematic

3.3.2 Distribution network and load management

3.3.3 Participation of management load EV / PHV to ancillary services

3.3.4 Example of case study

3.4. Bibliography

4 Railway system

4.1. Introduction

4.2. Hybrid locomotive

4.2.1. Introduction to the problem of design and energy management in the context of project PLATHEE

4.2.2. Importance and treatment of railway missions

4.2.3. Frequential management strategy

4.2.4. Sequential design and sizing through analysis

4.2.5. To the implementation of the locomotive PLATHEE

4.3. Railway infrastructure

4.3.1. Introduction

4.3.2. Organisation the railway network

4.3.3. Integration of renewable energies and storage contribution

4.3.4. Energy management

4.4. Bibliography

5. Buildings

5.1. Introduction

5.2. Shopping center

5.2.1. Introduction

5.2.2. System characteristics

5.2.3. Electricity billing

5.2.4. Objectives of the energy management

5.2.5. Fuzzy logic supervisor

5.2.6. Simulation results

5.2.7. Performance analysis with the help of indicators

5.3. Tertiary building

5.3.1. Introduction

5.3.2. Coupling LED lighting - photovoltaic system

5.3.3. DC network architecture

5.3.4. Energy management

5.4. Bibliography

6. Urban neighborhoods

6.1. Introduction

6.2. Urban neighborhood with domestic housing

6.3. Bibliography