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

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.

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Bibliographic Details
Other Authors: La Scala, Massimo, (Editor)
Format: eBook
Language: English
Published: London : Hoboken : ISTE, Ltd. ; Wiley, [2017]
Series: Advanced SmartGrids set.
Subjects:
ISBN: 9781119116080
1119116082
111937233X
9781119372332
9781119372257
1119372259
9781848217492
1848217498
Physical Description: 1 online resource

Cover

Table of contents

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245 0 0 |a From smart grids to smart cities :  |b new challenges in optimizing energy grids /  |c edited by Massimo La Scala. 
264 1 |a London :  |b ISTE, Ltd. ;  |a Hoboken :  |b Wiley,  |c [2017] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Advanced SmartGrids set 
504 |a Includes bibliographical references and index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 8 |a 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. 
505 0 |a 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. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Smart power grids. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a La Scala, Massimo,  |e editor. 
776 0 8 |i Print version:  |t From smart grids to smart cities.  |d London : Wiley-ISTE, 2015  |z 9781848217492  |w (OCoLC)933211190 
830 0 |a Advanced SmartGrids set. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpFSGSCNC3/from-smart-grids?kpromoter=marc  |y Full text