From smart grids to smart cities: new challenges in optimizing energy grids
Saved in:
| Other Authors: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London
ISTE
2017
|
| Series: | Advanced SmartGrids set
volume 2 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Physical Description: | xliii, 312 pages Diagramme |
| ISBN: | 9781848217492 1848217498 |
Staff View
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Contents
Preface. xi
Introduction. xvii
Massimo La Scala and Sergio Bruno
Chapter 1. Unbalanced Three-Phase Optimal Power Flow for the
Optimization of MV and LV Distribution Grids. 1
Sergio Bruno and Massimo La Scala
1.1. Advanced distribution management system for smart
distribution grids. 1
1.2. Secondary distribution monitoring and control. 5
1.2.1. Monitoring and representation of LV distribution grids. 6
1.2.2. LV control resources and control architecture. 7
1.3. Three-phase distribution optimal power flow for smart
distribution grids. 8
1.4. Problem formulation and solving algorithm. 11
1.4.1. Main problem formulation. 11
1.4.2. Application of the penalty method. 12
1.4.3. Definition of an unconstrained problem. 14
1.4.4. Application of a quasi-Newton method. 15
1.4.5. Solving algorithm. 18
1.5. Application of the proposed methodology to the optimization
of a MV network. 20
1.5.1. Case A: optimal load curtailment. 23
1.5.2. Case B: conservative voltage regulation. 26
1.5.3. Case C: voltage rise effects. 28
1.5.4. Algorithm performance. 30
vi From Smart Grids to Smart Cities
1.6. Application of the proposed methodology to the optimization
of a MV/LV network. 31
1.6.1. Case D: LV network congestions. 33
1.6.2. Case E: minimization of losses and reactive control. 36
1.6.3. Algorithm performance. 37
1.7. Conclusions. 38
1.8. Acknowledgments. 38
1.9. Bibliography. 39
Chapter 2. Mixed Integer Linear Programming Models for Network
Reconfiguration and Resource Optimization in Power
Distribution Networks. 43
Alberto BORGHETTI
2.1. Introduction. 43
2.2. Model for determining the optimal configuration of a radial
distribution network. 44
2.2.1. Objective function and constraints of the branch currents. 46
2.2.2. Bus voltage constraints. 48
2.2.3. Bus equations. 50
2.2.4. Line equations. 52
2.2.5. Radiality constraints. 53
2.3. Test results of minimum loss configuration obtained by
the MILP model. 54
2.3.1. Illustrative example. 54
2.3.2. Tests results for networks with several nodes and branches. 57
2.3.3. Comparison between the MILP solutions for the test
networks with the corresponding PF calculation results relevant
to the obtained optimal network configurations. 62
2.4. MILP model of the WO problem. 65
2.4.1. Objective function. 66
2.4.2. Branch equations. 67
2.4.3. Bus equations. 69
2.4.4. Branch and node constraints. 72
2.5. Test results obtained by the WO MILP model. 74
2.5.1. TS1. 74
2.5.2. TS2. 77
2.5.3. TS3. 78
2.6. Conclusions. 85
2.7. Acknowledgments. 85
2.8. Bibliography. 86
Contents vii
Chapter 3. The Role of Nature-inspired Metaheuristic Algorithms
for Optimal Voltage Regulation in Urban Smart Grids. 89
Giovanni Acampora, Davide Caruso, Alfredo Vaccaro, Autilia Vitiello and
Ahmed F. Zobaa
3.1. Introduction. 89
3.2. Emerging needs in urban power systems. 92
3.3. Toward smarter grids. 93
3.4. Smart grids optimization. 97
3.5. Metaheuristic algorithms for smart grids optimization. 99
3.5.1. Genetic algorithm. 99
3.5.2. Random Hill Climbing algorithm. 101
3.5.3. Particle Swarm Optimization algorithm. 101
3.5.4. Evolution strategy. 103
3.5.5. Differential evolution. 106
3.5.6. Biogeography-based optimization. 108
3.5.7. Evolutionary programming. 109
3.5.8. Ant Colony Optimization algorithm. 110
3.5.9. Group Search Optimization algorithm. 113
3.6. Numerical results. 115
3.6.1. Power system test. . . . 116
3.6.2. Real urban smart grid. 124
3.7. Conclusions. 127
3.8. Bibliography. 127
Chapter 4. Urban Energy Hubs and Microgrids: Smart
Energy Planning for Cities. 129
Eleonora Riva Sanseverino, Vincenzo Domenico Genco, Gianluca Scaccianoce,
Valentina Vaccaro, Raffaella Riva Sanseverino, Gaetano Zizzo, Maria Luisa Di
Silvestre, Diego Arnone and Giuseppe Paternö
4.1. Introduction. 129
4.1.1. Microgrids versus urban energy7 hubs. 131
4.2. Approaches and tools for urban energy hubs. 134
4.2.1. Policy. 134
4.2.2. Analysis. 135
4.2.3. Optimal design and operation tools. 139
4.3. Methodology. 143
4.3.1. Building type and urban energy7 parameter specification. 143
4.3.2. Mobility simulator. 147
4.3.3. Energy simulation and electrical load estimation for buildings. 151
4.3.4. Optimization and simulation software for district. 3 51
viii From Smart Grids to Smart Cities
4.4. Application. 152
4.4.1. Analysis. 152
4.4.2. Simulations and optimization. 160
4.4.3. Mobility and effects of policies and smart charging on
peaking power. 168
4.5. Conclusions. 170
4.6 Bibliography. 171
Chapter 5. Optimization of Multi-energy Carrier Systems
in Urban Areas . 177
Sergio Bruno, Silvia Lamonaca and Massimo La Scala
5.1. Introduction. 177
5.2. Optimal control strategy for a small-scale multi-carrier
energy system. 180
5.2.1. The proposed architecture. 180
5.2.2. Mathematical formulation. 183
5.2.3. Test results. 190
5.3. Optimal design of an urban energy district. 198
5.3.1. Energy7 district for urban regeneration; the
San Paolo Power Park. 199
5.3.2. Optimal design of the energy7 district. 201
5.3.3. Integer variables and design choices. 205
5.3.4. Mathematical formulation of the optimal control problem. 206
5.3.5. Test results. 214
5.4. Conclusions. 227
5.5. Acknowledgments. 228
5.6. Bibliography. 228
Chapter 6. Optimal Gas Flow Algorithm for Natural Gas Distribution
Systems in Urban Environment. 231
Ugo Stecchi, Gaetano Abbatantuono and Massimo La Scala
6.1. Introduction. 231
6.2. Natural gas network evolution. 236
6.3. Implementing the monitoring and control system in the
“Gas Smart Grids” pilot project. 239
6.3.1. SCADA system. 240
6.3.2. Controlling FRUs’ setpoints. 244
6.4. Basic equations under steady-state conditions. 246
6.5. Gas load flow formulation. 253
Contents ix
6.6. Gas optimal flow method. 256
6.7. Optimizing turbo-expander operations. 258
6.8. Optimizing pressure profiles on the low pressure distribution grids . 262
6.9. Conclusions. 270
6.10. Acknowledgements. 270
6.11. Bibliography. 270
Chapter 7. Multicarrier Energy System Optimal Power Flow. 273
Soheil DERAFsm Beigvand, Hamdi Abdi and Massimo La Scala
7.1. Introduction. 273
7.2. Basic concepts and assumptions. 276
7.2.1. MEC and energy hub. 276
7.2.2. CHP units. 279
7.2.3. General assumptions. 282
7.3. Problem formulation. 283
7.3.1. Electrical power balance equations. 283
7.3.2. Gas energy flow equation. 283
7.3.3. Modeling of energy hubs. 285
7.3.4. MECOPF problem. 286
7.4. Time varying acceleration coefficient gravitational
search algorithm. 287
7.4.1. A brief comparison between the main structures of
TVAC-GSA and PSO. 291
7.5. TVAC-GSА-based MECOPF problem. 292
7.6. Case study simulations and results. 294
7.7. Conclusions. 300
7.8. Appendix 1. 301
7.9. Appendix 2. 303
7.10. Bibliography. 305
List of Authors. 309
Index
311
ADVANCED SMART GRIDS SET
Coordinated by Nouredine Hadjsaïd and Jean-Claude Sabonnadière
In recent years, a new regulatory framework and advanced
technologies have changed the way energy grids are operated.
Now, more than ever, a more efficient operation of distribution
grids is needed to confront the new challenges faced by modern
society and its infrastructures.
In this book, some concepts and methodologies developed in a
pluri-technological sector, such as power systems, are shown to
be effective in other realms. Different energy infrastructures share
the same needs for more automation, optimization in operations,
tools for planning and integration between multiple energy carriers
to achieve better performances and efficiency.
This book, starting from the Smart Grids experience, introduces
the concept of Smart Cities, as we know it today, and goes on to
discuss current technological networks and energy distribution
grids.
The authors focus on tangible grids, due to their physical
durability, and emphasize the need for effective technologies,
integration of multiple energy-carriers and incisive policies to
foster the transformation of current business models.
Massimo La Scala is Full Professor of Electrical Energy Systems at
Politecnico di Bari in Italy and IEEE Fellow. He has been the
Principal Investigator of numerous research projects in smart grids
and smart cities and scientific consultant for the Italian Ministry of
Economic Development and AEEGSI, the Italian Regulatory
Authority of Electricity, Gas and Water. He is the director of the
"Laboratory for the development of renewables and energy
efficiency: Lab ZERO" at Politecnico di Bari.
www.iste.co.uk
Wiley |
| any_adam_object | 1 |
| author2 | La Scala, Massimo |
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| discipline | Energietechnik Elektrotechnik / Elektronik / Nachrichtentechnik |
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| illustrated | Not Illustrated |
| indexdate | 2024-11-11T11:02:09Z |
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| isbn | 9781848217492 1848217498 |
| language | English |
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| publishDate | 2017 |
| publishDateSearch | 2017 |
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| publisher | ISTE |
| record_format | marc |
| series | Advanced SmartGrids set |
| series2 | Advanced SmartGrids set |
| spelling | From smart grids to smart cities new challenges in optimizing energy grids edited by Massimo La Scala London ISTE 2017 xliii, 312 pages Diagramme txt rdacontent n rdamedia nc rdacarrier Advanced SmartGrids set volume 2 Energieversorgung (DE-588)4014736-8 gnd rswk-swf Smart City (DE-588)1061057097 gnd rswk-swf Elektrizitätsversorgungsnetz (DE-588)4121178-9 gnd rswk-swf Stromverteilung (DE-588)4183760-5 gnd rswk-swf Verteilungsnetz (DE-588)4279392-0 gnd rswk-swf Intelligentes Stromnetz (DE-588)7708028-2 gnd rswk-swf Stadt (DE-588)4056723-0 gnd rswk-swf Intelligentes Stromnetz (DE-588)7708028-2 s DE-604 Stadt (DE-588)4056723-0 s Smart City (DE-588)1061057097 s Energieversorgung (DE-588)4014736-8 s Verteilungsnetz (DE-588)4279392-0 s Stromverteilung (DE-588)4183760-5 s Elektrizitätsversorgungsnetz (DE-588)4121178-9 s La Scala, Massimo edt Advanced SmartGrids set volume 2 (DE-604)BV042474614 2 Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028991398&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Bayreuth - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028991398&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | From smart grids to smart cities new challenges in optimizing energy grids Advanced SmartGrids set Energieversorgung (DE-588)4014736-8 gnd Smart City (DE-588)1061057097 gnd Elektrizitätsversorgungsnetz (DE-588)4121178-9 gnd Stromverteilung (DE-588)4183760-5 gnd Verteilungsnetz (DE-588)4279392-0 gnd Intelligentes Stromnetz (DE-588)7708028-2 gnd Stadt (DE-588)4056723-0 gnd |
| subject_GND | (DE-588)4014736-8 (DE-588)1061057097 (DE-588)4121178-9 (DE-588)4183760-5 (DE-588)4279392-0 (DE-588)7708028-2 (DE-588)4056723-0 |
| title | From smart grids to smart cities new challenges in optimizing energy grids |
| title_auth | From smart grids to smart cities new challenges in optimizing energy grids |
| title_exact_search | From smart grids to smart cities new challenges in optimizing energy grids |
| title_full | From smart grids to smart cities new challenges in optimizing energy grids edited by Massimo La Scala |
| title_fullStr | From smart grids to smart cities new challenges in optimizing energy grids edited by Massimo La Scala |
| title_full_unstemmed | From smart grids to smart cities new challenges in optimizing energy grids edited by Massimo La Scala |
| title_short | From smart grids to smart cities |
| title_sort | from smart grids to smart cities new challenges in optimizing energy grids |
| title_sub | new challenges in optimizing energy grids |
| topic | Energieversorgung (DE-588)4014736-8 gnd Smart City (DE-588)1061057097 gnd Elektrizitätsversorgungsnetz (DE-588)4121178-9 gnd Stromverteilung (DE-588)4183760-5 gnd Verteilungsnetz (DE-588)4279392-0 gnd Intelligentes Stromnetz (DE-588)7708028-2 gnd Stadt (DE-588)4056723-0 gnd |
| topic_facet | Energieversorgung Smart City Elektrizitätsversorgungsnetz Stromverteilung Verteilungsnetz Intelligentes Stromnetz Stadt |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028991398&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028991398&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV042474614 |
| work_keys_str_mv | AT lascalamassimo fromsmartgridstosmartcitiesnewchallengesinoptimizingenergygrids |