Towards quality of service and fairness in smart grid applications:
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Passau
2023
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| Schlagworte: | |
| Online-Zugang: | Volltext Volltext Inhaltsverzeichnis |
| Beschreibung: | xx, 172 Seiten Illustrationen, Diagramme |
Internformat
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| 245 | 1 | 0 | |a Towards quality of service and fairness in smart grid applications |c Dominik Danner |
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| adam_text | Contents List of Acronyms xi List of Algorithms xv List of Figures xvii List of Tables xix 1 Introduction 1.1 Motivation.................................................................................................... 1.1.1 Electric Vehicle Home Charging..................................................... 1.1.2 Home Energy Management Systems............................................... 1.2 Problem Formulation................................................................................... 1.3 Contributions.............................................................................................. 1.4 Chapter Summary and Thesis Structure ..................................................... 1 1 3 4 5 6 8 2 Background and Related Work 11 2.1 Electrical Power System............................................................................ 11 2.1.1 Flexibility in Power Systems........................................................... 13 2.1.2 Ancillary Services.......................................................................... 15 2.2 Notions of Quality of Service, Quality of Experience, and Fairness........... 17 2.3 Electric Vehicle Charging............................................................................ 21 2.3.1 Charging Modes and Communication Protocols.............................. 22 2.3.2 Literature Overview ........................................................................ 25 2.4 Home Energy Management Systems........................................................... 29 2.4.1 Flexibility and
Controllability......................................................... 29 2.4.2 Literature Overview ........................................................................ 30 2.5 General Assumptions.................................................................................... 33 2.6 Chapter Summary.......................................................................................... 34 3 Electric Vehicle Home Charging Service 37 3.1 Assumptions ................................................................................................ 38 3.2 Charging Service Model .............................................................................. 38 3.3 Charging Service Assessment........................................................................ 40 3.3.1 Quality of Service ........................................................................... 40 3.3.2 Quality of Experience ..................................................................... 42 3.3.3 Fairness............................................................................................. 43 3.4 Methodology................................................................................................ 44 3.4.1 Hierarchical Queuing Networks...................................................... 44 3.4.1.1 ChargingPacket Request and Assignment ...................... 44 CONTENTS vii
3.4.1.2 Queuing Policies...................................................................... 46 Distributed Probabilistic Protocols........................................................ 49 3.4.2.1 Distributed Coordination Function..................................... 50 3.4.2.2 Enhancement with Quality of Service Control................. 52 3.4.3 Discussion ............................................................................................... 55 Evaluation............................................................................................................... 56 3.5.1 Setup......................................................................................................... 56 3.5.1.1 Electric Vehicle Charging Pattern and Battery Model . . . 56 3.5.1.2 Power Grid and Simulation Scenarios.................................. 59 3.5.2 Analysis...................................................................................................... 61 3.5.2.1 Impact of Randomness ......................................................... 62 3.5.2.2 Quality of Service/Experience and Fairness........................ 63 3.5.2.3 Quality Metrics during the Charging Services ................. 66 3.5.2.4 Impact on the Low-Voltage Power Grid............................... 68 3.5.3 Sensitivity of Configuration Parameters............................................... 71 3.5.3.1 Wallbox Power Rating............................................................ 71 3.5.3.2 Transformer Limit and Vehicle Penetration........................ 72 3.5.3.3 Local Voltage
Control............................................................ 74 3.5.3.4 Departure Time..................................................................... 77 Applicability ........................................................................................................ 79 3.6.1 , Scope of Application............................................................................... 79 3.6.2 Technical Challenges............................................................................... 80 3.6.3 Legal Framework...................................................................................... 83 3.6.4 Possible Extension with CoordinatedVoltage Control........................ 83 Chapter Summary.................................................................................................. 84 3.4.2 3.5 3.6 3.7 4 viii Power Flexibility Service from Battery Storage of Home Energy Man agement Systems 87 4.1 Assumptions ........................................................................................................ 88 4.2 Power Flexibility Model ..................................................................................... 89 4.2.1 Home Energy Management System..................................................... 89 4.2.1.1 Decision Variables and Constraints.................................... 89 4.2.1.2 Multi-Objective Function.................................................... 93 4.2.2 Power Flexibility Scheduling.................................................................. 95 4.2.3 Flexibility Aggregation to Virtual Power
Plants................................. 99 4.3 Power Flexibility Provision Assessment............................................................. 100 4.3.1 Quality of Service ..................................................................................... 101 4.3.2 Quality of Experience .............................................................................. 102 4.3.3 Fairness........................................................................................................ 104 4.4 Methodology.......................................................................................................... 104 4.4.1 Iterative Linear Heuristic............................................................................ 104 4.4.2 Genetic Meta Heuristic............................................................................... 108 4.4.2.1 Fitness Function....................................................................... 110 4.4.2.2 Genetic Operators.................................................................... 112 4.4.3 Discussion.................................................................................................. 114 CONTENTS
4.5 4.6 4.7 5 Evaluation................................................................................................................. 116 4.5.1 Setup........................................................................................................... 116 4.5.1.1 Energy Management System and Data................................ 117 4.5.1.2 Power Grid and Simulation Scenario.................................... 118 4.5.2 Analysis........................................................................................................119 4.5.2.1 Performance of the Energy Management System.............. 119 4.5.2.2 Validation of the Genetic Operators....................................... 120 4.5.2.3 Performance of Power Flexibility Provision.......................... 129 4.5.2.4 Quality of Service/Experience and Fairness.......................... 131 4.5.2.5 Impact on the Low-Voltage Power Grid.................................135 4.5.3 Sensitivity of Use Case Scenarios........................................................... 136 Applicability .......................................................................................................... 138 4.6.1 Scope of Application.................................................................................. 138 4.6.2 Technical Challenges..................................................................................140 4.6.3 Legal and Energy Market Framework.................................................... 140 4.6.4 Possible Extension of Reserve Power Flexibility ................................. 141 Chapter
Summary.................................................................................................... 145 Conclusions and Future Work 147 5.1 Main Contributions and Results .......................................................................... 147 5.2 Limitations and Outlook....................................................................................... 149 Appendix A Additional Material 151 A.l Electric Vehicle Home Charging Service............................................................. 151 A.2 Power Flexibility from Battery Storage of Home Energy Management Sys tems ................................................................................................................. 153 References 157 CONTENTS ix
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| adam_txt |
Contents List of Acronyms xi List of Algorithms xv List of Figures xvii List of Tables xix 1 Introduction 1.1 Motivation. 1.1.1 Electric Vehicle Home Charging. 1.1.2 Home Energy Management Systems. 1.2 Problem Formulation. 1.3 Contributions. 1.4 Chapter Summary and Thesis Structure . 1 1 3 4 5 6 8 2 Background and Related Work 11 2.1 Electrical Power System. 11 2.1.1 Flexibility in Power Systems. 13 2.1.2 Ancillary Services. 15 2.2 Notions of Quality of Service, Quality of Experience, and Fairness. 17 2.3 Electric Vehicle Charging. 21 2.3.1 Charging Modes and Communication Protocols. 22 2.3.2 Literature Overview . 25 2.4 Home Energy Management Systems. 29 2.4.1 Flexibility and
Controllability. 29 2.4.2 Literature Overview . 30 2.5 General Assumptions. 33 2.6 Chapter Summary. 34 3 Electric Vehicle Home Charging Service 37 3.1 Assumptions . 38 3.2 Charging Service Model . 38 3.3 Charging Service Assessment. 40 3.3.1 Quality of Service . 40 3.3.2 Quality of Experience . 42 3.3.3 Fairness. 43 3.4 Methodology. 44 3.4.1 Hierarchical Queuing Networks. 44 3.4.1.1 ChargingPacket Request and Assignment . 44 CONTENTS vii
3.4.1.2 Queuing Policies. 46 Distributed Probabilistic Protocols. 49 3.4.2.1 Distributed Coordination Function. 50 3.4.2.2 Enhancement with Quality of Service Control. 52 3.4.3 Discussion . 55 Evaluation. 56 3.5.1 Setup. 56 3.5.1.1 Electric Vehicle Charging Pattern and Battery Model . . . 56 3.5.1.2 Power Grid and Simulation Scenarios. 59 3.5.2 Analysis. 61 3.5.2.1 Impact of Randomness . 62 3.5.2.2 Quality of Service/Experience and Fairness. 63 3.5.2.3 Quality Metrics during the Charging Services . 66 3.5.2.4 Impact on the Low-Voltage Power Grid. 68 3.5.3 Sensitivity of Configuration Parameters. 71 3.5.3.1 Wallbox Power Rating. 71 3.5.3.2 Transformer Limit and Vehicle Penetration. 72 3.5.3.3 Local Voltage
Control. 74 3.5.3.4 Departure Time. 77 Applicability . 79 3.6.1 , Scope of Application. 79 3.6.2 Technical Challenges. 80 3.6.3 Legal Framework. 83 3.6.4 Possible Extension with CoordinatedVoltage Control. 83 Chapter Summary. 84 3.4.2 3.5 3.6 3.7 4 viii Power Flexibility Service from Battery Storage of Home Energy Man agement Systems 87 4.1 Assumptions . 88 4.2 Power Flexibility Model . 89 4.2.1 Home Energy Management System. 89 4.2.1.1 Decision Variables and Constraints. 89 4.2.1.2 Multi-Objective Function. 93 4.2.2 Power Flexibility Scheduling. 95 4.2.3 Flexibility Aggregation to Virtual Power
Plants. 99 4.3 Power Flexibility Provision Assessment. 100 4.3.1 Quality of Service . 101 4.3.2 Quality of Experience . 102 4.3.3 Fairness. 104 4.4 Methodology. 104 4.4.1 Iterative Linear Heuristic. 104 4.4.2 Genetic Meta Heuristic. 108 4.4.2.1 Fitness Function. 110 4.4.2.2 Genetic Operators. 112 4.4.3 Discussion. 114 CONTENTS
4.5 4.6 4.7 5 Evaluation. 116 4.5.1 Setup. 116 4.5.1.1 Energy Management System and Data. 117 4.5.1.2 Power Grid and Simulation Scenario. 118 4.5.2 Analysis.119 4.5.2.1 Performance of the Energy Management System. 119 4.5.2.2 Validation of the Genetic Operators. 120 4.5.2.3 Performance of Power Flexibility Provision. 129 4.5.2.4 Quality of Service/Experience and Fairness. 131 4.5.2.5 Impact on the Low-Voltage Power Grid.135 4.5.3 Sensitivity of Use Case Scenarios. 136 Applicability . 138 4.6.1 Scope of Application. 138 4.6.2 Technical Challenges.140 4.6.3 Legal and Energy Market Framework. 140 4.6.4 Possible Extension of Reserve Power Flexibility . 141 Chapter
Summary. 145 Conclusions and Future Work 147 5.1 Main Contributions and Results . 147 5.2 Limitations and Outlook. 149 Appendix A Additional Material 151 A.l Electric Vehicle Home Charging Service. 151 A.2 Power Flexibility from Battery Storage of Home Energy Management Sys tems . 153 References 157 CONTENTS ix |
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| spelling | Danner, Dominik Verfasser aut Towards quality of service and fairness in smart grid applications Dominik Danner Passau 2023 xx, 172 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Universität Passau 2023 Elektromobilität (DE-588)1042006857 gnd rswk-swf Elektrische Energieverteilung (DE-588)4123127-2 gnd rswk-swf Energiespeicher (DE-588)4152230-8 gnd rswk-swf Intelligentes Stromnetz (DE-588)7708028-2 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Elektromobilität (DE-588)1042006857 s Intelligentes Stromnetz (DE-588)7708028-2 s Elektrische Energieverteilung (DE-588)4123127-2 s Energiespeicher (DE-588)4152230-8 s DE-604 Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:739-opus4-13731 https://opus4.kobv.de/opus4-uni-passau/frontdoor/index/index/docId/1373 Verlag kostenfrei Volltext https://nbn-resolving.de/urn:nbn:de:bvb:739-opus4-13731 Resolving-System kostenfrei Volltext Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034839094&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Danner, Dominik Towards quality of service and fairness in smart grid applications Elektromobilität (DE-588)1042006857 gnd Elektrische Energieverteilung (DE-588)4123127-2 gnd Energiespeicher (DE-588)4152230-8 gnd Intelligentes Stromnetz (DE-588)7708028-2 gnd |
| subject_GND | (DE-588)1042006857 (DE-588)4123127-2 (DE-588)4152230-8 (DE-588)7708028-2 (DE-588)4113937-9 |
| title | Towards quality of service and fairness in smart grid applications |
| title_auth | Towards quality of service and fairness in smart grid applications |
| title_exact_search | Towards quality of service and fairness in smart grid applications |
| title_exact_search_txtP | Towards quality of service and fairness in smart grid applications |
| title_full | Towards quality of service and fairness in smart grid applications Dominik Danner |
| title_fullStr | Towards quality of service and fairness in smart grid applications Dominik Danner |
| title_full_unstemmed | Towards quality of service and fairness in smart grid applications Dominik Danner |
| title_short | Towards quality of service and fairness in smart grid applications |
| title_sort | towards quality of service and fairness in smart grid applications |
| topic | Elektromobilität (DE-588)1042006857 gnd Elektrische Energieverteilung (DE-588)4123127-2 gnd Energiespeicher (DE-588)4152230-8 gnd Intelligentes Stromnetz (DE-588)7708028-2 gnd |
| topic_facet | Elektromobilität Elektrische Energieverteilung Energiespeicher Intelligentes Stromnetz Hochschulschrift |
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