From smart grids to smart cities : new challenges in optimizing energy grids /

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This title is aimed at showing methodologies and technological solutions for energy system monitoring and control, starting from applications to electricity smart grids and ending with more unconventional approaches to multi-carrier systems: microgrids and energy hubs.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: La Scala, Massimo (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Hoboken : ISTE, Ltd. ; Wiley, [2017]
Colección:Advanced SmartGrids set.
Temas:
Smart power grids.
Réseaux électriques intelligents.
Smart power grids
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Dedication
  • Title
  • Copyright
  • Preface
  • Introduction: From Smart Grids to the Smart Cities: New Paradigms for Future Networks
  • I.1. The birth of smart grids
  • I.2. Definition of a smart grid
  • I.3. Drivers for smart grids
  • I.4. From smart grids to smart cities
  • I.5. The smart city: home of advanced energy solutions
  • I.6. The smart city: a people-oriented environment
  • I.7. Active energy users and prosumers
  • I.8. Horizontal integration through energy hubs and energy districts
  • I.9. Final remarks
  • I.10. Bibliography
  • 1 Unbalanced Three-Phase Optimal Power Flow for the Optimization of MV and LV Distribution Grids
  • 1.1. Advanced distribution management system for smart distribution grids
  • 1.2. Secondary distribution monitoring and control
  • 1.3. Three-phase distribution optimal power flow for smart distribution grids
  • 1.4. Problem formulation and solving algorithm
  • 1.5. Application of the proposed methodology to the optimization of a MV network
  • 1.6. Application of the proposed methodology to the optimization of a MV/LV network
  • 1.7. Conclusions
  • 1.8. Acknowledgments
  • 1.9. Bibliography
  • 2 Mixed Integer Linear Programming Models for Network Reconfiguration and Resource Optimization in Power Distribution Networks
  • 2.1. Introduction
  • 2.2. Model for determining the optimal configuration of a radial distribution network
  • 2.3. Test results of minimum loss configuration obtained by the MILP model
  • 2.4. MILP model of the VVO problem
  • 2.5. Test results obtained by the VVO MILP model
  • 2.6. Conclusions
  • 2.7. Acknowledgments
  • 2.8. Bibliography
  • 3 The Role of Nature-inspired Metaheuristic Algorithms for Optimal Voltage Regulation in Urban Smart Grids
  • 3.1. Introduction
  • 3.2. Emerging needs in urban power systems3.3. Toward smarter grids
  • 3.4. Smart grids optimization
  • 3.5. Metaheuristic algorithms for smart grids optimization
  • 3.6. Numerical results
  • 3.7. Conclusions
  • 3.8. Bibliography
  • 4 Urban Energy Hubs and Microgrids: Smart Energy Planning for Cities
  • 4.1. Introduction
  • 4.2. Approaches and tools for urban energy hubs
  • 4.3. Methodology
  • 4.4. Application
  • 4.5. Conclusions
  • 4.6. Bibliography
  • 5 Optimization of Multi-energy Carrier Systems in Urban Areas
  • 5.1. Introduction
  • 5.2. Optimal control strategy for a small-scale multi-carrier energy system
  • 5.3. Optimal design of an urban energy district
  • 5.4. Conclusions
  • 5.5. Acknowledgments
  • 5.6. Bibliography
  • 6 Optimal Gas Flow Algorithm for Natural Gas Distribution Systems in Urban Environment
  • 6.1. Introduction
  • 6.2. Natural gas network evolution
  • 6.3. Implementing the monitoring and control system in the "Gas Smart Grids" pilot project
  • 6.4. Basic equations under steady-state conditions
  • 6.5. Gas load flow formulation
  • 6.6. Gas optimal flow method
  • 6.7. Optimizing turbo-expander operations
  • 6.8. Optimizing pressure profiles on the low pressure distribution grids
  • 6.9. Conclusions
  • 6.10. Acknowledgements
  • 6.11. Bibliography
  • 7 Multicarrier Energy System Optimal Power Flow
  • 7.1. Introduction
  • 7.2. Basic concepts and assumptions
  • 7.3. Problem formulation
  • 7.4. Time varying acceleration coefficient gravitational search algorithm
  • 7.5. TV AC-GSA-based MECOPF problem
  • 7.6. Case study simulations and results
  • 7.7. Conclusions
  • 7.8. Appendix 1: Performance evaluation of TV AC-GSA for five benchmark functions
  • 7.9. Appendix 2: System data of the test case
  • 7.10. Bibliography
  • List of Authors
  • Index.

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