Distributed control and optimization of networked microgrids: a multi-agent system based approach
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer Nature
2022
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| Schriftenreihe: | Power systems
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xiii, 161 Seiten Illustrationen, Diagramme |
Internformat
MARC
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Datensatz im Suchindex
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| adam_text | Contents 1 Introduction ............................................................................................ 1.1 Microgrids ...................................................................................... 1.2 Hierarchical Control Structures...................................................... 1.2.1 Primary Control ................................................................. 1.2.2 Secondary Control .............................................................. 1.2.3 Tertiary Control................................................................... 1.3 Communication Constraints............................................................ 1.3.1 Communication Delays ...................................................... 1.3.2 Event-Triggered Communication Schemes......................... 1.3.3 Cyber Attacks ..................................................................... 1.4 Book Outlines ................................................................................ References ................................................................................................ 1 1 2 3 5 6 7 8 9 10 10 11 2 Network-Based Consensusof Multi-agent Systems ............................ 2.1 Graph Theory.................................................................................. 2.2 Problem Statement ......................................................................... 2.3 Stability Analysis............................................................................. 2.4 Network-Based Consensus Controller Design .............................. 2.5 A
Numerical Example ................................................................... 2.6 Concluding Remarks....................................................................... 2.7 Notes ............................................................................................... References ................................................................................................ 17 17 18 21 25 26 28 28 28 3 Sampled-Data-Based Event-Triggered Consensus of Multi-agent Systems .......................................................................... 3.1 Sampled-Data-Based Event-Triggered Communication Schemes .......................................................................................... 3.2 Consensus Analysis and Synthesis ................................................. 3.2.1 Model Transformation ......................................................... 3.2.2 Stability Analysis and Controller Design ............................ 3.2.3 Co-design Algorithms ......................................................... 3.3 Simulations...................................................................................... 31 31 34 34 36 41 42 ix
x Contents 3.4 Concluding Remarks............................................................................. 3.5 Notes ...................................................................................................... References ...................................................................................................... 46 46 47 4 Distributed Event-Triggered Secondary Control for Islanded Microgrids .............................................................................................. 49 4.1 Problem Formulation ........................................................................... 4.1.1 Primary Droop Control and Secondary Control.................... 4.1.2 Active Power References......................................................... 4.1.3 Control Objectives ................................................................... 4.2 Distributed Event-Triggered Secondary Control............................... 4.2.1 Sampled-Data-Based Event-Triggered Communication Schemes .......................................... 53 4.2.2 Distributed Event-Triggered Secondary Controllers ............ 4.2.3 Convergence Analysis ............................................................. 4.2.4 Algorithm Implementation ..................................................... 4.3 Case Studies ......................................................................................... 4.3.1 Performance Evaluation........................................................... 4.3.2 Robustness Against Load Changes ....................................... 4.3.3 Plug-and-Play Ability
............................................................. 4.4 Concluding Remarks........................................................................... 4.5 Notes ..................................................................................................... References ...................................................................................................... 54 57 62 63 64 67 69 71 71 71 5 Distributed Finite-Time Secondary Control for Islanded Microgrids .............................................................................................. 73 5.1 Problem Formulation ......................................................................... 5.2 Distributed Finite-Time Secondary Controller Design..................... 5.2.1 Frequency Restoration and Active Power Sharing............... 5.2.2 Voltage Regulation .................................................................. 5.3 Case Studies ......................................................................................... 5.3.1 Performance Evaluation........................................................... 5.3.2 Robustness Against Load Changes ....................................... 5.3.3 Plug-and-Play Capability......................................................... 5.3.4 Two Different Sets of Communication Delays...................... 5.4 Concluding Remarks........................................................................... 5.5 Notes ..................................................................................................... References
..................................................................................................... 73 76 76 82 83 84 86 86 87 90 90 90 6 Distributed Resilient Finite-Time Secondary Control for Heterogeneous BESSs .................................................................... 93 6.1 Problem Formulation .......................................................................... 6.1.1 Control Structures for BESSs ................................................. 6.1.2 Operational Constraints ........................................................... 6.1.3 Control Objectives ................................................................... 6.2 Distributed Secondary Control Schemes Under DoS Attacks.......... 93 94 95 96 97 49 50 51 52 53
Contents 6.2.1 DoS Attack Modeling ............................................................. 6.2.2 Distributed Resilient Finite-Time Secondary Controller...................................................................... 100 6.2.3 Stability Analysis ..................................................................... 6.3 Case Studies ........................................................................................... 6.3.1 Performance Evaluation........................................................... 6.3.2 Grid-Connected Modes ........................................................... 6.3.3 Comparison Results ................................................................. 6.4 Concluding Remarks............................................................................. 6.5 Notes ....................................................................................................... References ...................................................................................................... xi 97 102 107 107 110 Ill 113 113 114 7 Distributed Optimal Control of DC Microgrids with Communication Delays................................................................. 115 7.1 Problem Formulation ........................................................................... 115 7.1.1 DC Micriogrid Models............................................................. 115 7.1.2 Objectives ................................................................................ 117 7.2 Global Optimization Schemes
.............................................................. 118 7.3 Distributed Optimization Schemes ...................................................... 119 7.4 Distributed Control Schemes in the Presence of Communication Delays ......................................................... 123 7.5 Simulation Case Studies........................................................................ 127 7.5.1 A Modified 6-Bus DC Microgrid for a Trolleybus System .......................................................................... 127 7.5.2 Optimality ................................................................................. 129 7.5.3 The Impacts of Load Variations ............................................. 129 7.5.4 Plug-and-Play Features ........................................................... 131 7.5.5 The Tradeoff Between Load Sharing and Voltage Regulation .................................................................... 132 7.5.6 The Effects of Communication Delays .................................. 132 7.6 Concluding Remarks............................................................................. 134 7.7 Notes ....................................................................................................... 135 References ...................................................................................................... 135 8 Distributed Energy Management for Smart Grids ................................ 8.1 Preliminaries and Problem Formulation............................................. 8.1.1 Notations and Preliminaries
.................................................... 8.1.2 Network Models ....................................................................... 8.1.3 Social Welfare Maximization .................................................. 8.2 Distributed Optimal Solutions ............................................................. 8.2.1 Distributed Algorithms ............................................................ 8.2.2 Convergence Analysis .............................................................. 8.3 Distributed Event-Triggered Control Algorithms .............................. 8.4 Simulation Case Studies ....................................................................... 8.4.1 Case 1 : Continuous Communication Schemes ...................... 8.4.2 Case 2: Event-Triggered Communication Schemes.............. 137 137 137 138 139 141 142 143 146 151 153 155
xii Contents 8.5 Concluding Remarks.............................................................................. 8.6 Notes ....................................................................................................... References ...................................................................................................... 158 158 158 Index...................................................................................................................... 161
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| adam_txt |
Contents 1 Introduction . 1.1 Microgrids . 1.2 Hierarchical Control Structures. 1.2.1 Primary Control . 1.2.2 Secondary Control . 1.2.3 Tertiary Control. 1.3 Communication Constraints. 1.3.1 Communication Delays . 1.3.2 Event-Triggered Communication Schemes. 1.3.3 Cyber Attacks . 1.4 Book Outlines . References . 1 1 2 3 5 6 7 8 9 10 10 11 2 Network-Based Consensusof Multi-agent Systems . 2.1 Graph Theory. 2.2 Problem Statement . 2.3 Stability Analysis. 2.4 Network-Based Consensus Controller Design . 2.5 A
Numerical Example . 2.6 Concluding Remarks. 2.7 Notes . References . 17 17 18 21 25 26 28 28 28 3 Sampled-Data-Based Event-Triggered Consensus of Multi-agent Systems . 3.1 Sampled-Data-Based Event-Triggered Communication Schemes . 3.2 Consensus Analysis and Synthesis . 3.2.1 Model Transformation . 3.2.2 Stability Analysis and Controller Design . 3.2.3 Co-design Algorithms . 3.3 Simulations. 31 31 34 34 36 41 42 ix
x Contents 3.4 Concluding Remarks. 3.5 Notes . References . 46 46 47 4 Distributed Event-Triggered Secondary Control for Islanded Microgrids . 49 4.1 Problem Formulation . 4.1.1 Primary Droop Control and Secondary Control. 4.1.2 Active Power References. 4.1.3 Control Objectives . 4.2 Distributed Event-Triggered Secondary Control. 4.2.1 Sampled-Data-Based Event-Triggered Communication Schemes . 53 4.2.2 Distributed Event-Triggered Secondary Controllers . 4.2.3 Convergence Analysis . 4.2.4 Algorithm Implementation . 4.3 Case Studies . 4.3.1 Performance Evaluation. 4.3.2 Robustness Against Load Changes . 4.3.3 Plug-and-Play Ability
. 4.4 Concluding Remarks. 4.5 Notes . References . 54 57 62 63 64 67 69 71 71 71 5 Distributed Finite-Time Secondary Control for Islanded Microgrids . 73 5.1 Problem Formulation . 5.2 Distributed Finite-Time Secondary Controller Design. 5.2.1 Frequency Restoration and Active Power Sharing. 5.2.2 Voltage Regulation . 5.3 Case Studies . 5.3.1 Performance Evaluation. 5.3.2 Robustness Against Load Changes . 5.3.3 Plug-and-Play Capability. 5.3.4 Two Different Sets of Communication Delays. 5.4 Concluding Remarks. 5.5 Notes . References
. 73 76 76 82 83 84 86 86 87 90 90 90 6 Distributed Resilient Finite-Time Secondary Control for Heterogeneous BESSs . 93 6.1 Problem Formulation . 6.1.1 Control Structures for BESSs . 6.1.2 Operational Constraints . 6.1.3 Control Objectives . 6.2 Distributed Secondary Control Schemes Under DoS Attacks. 93 94 95 96 97 49 50 51 52 53
Contents 6.2.1 DoS Attack Modeling . 6.2.2 Distributed Resilient Finite-Time Secondary Controller. 100 6.2.3 Stability Analysis . 6.3 Case Studies . 6.3.1 Performance Evaluation. 6.3.2 Grid-Connected Modes . 6.3.3 Comparison Results . 6.4 Concluding Remarks. 6.5 Notes . References . xi 97 102 107 107 110 Ill 113 113 114 7 Distributed Optimal Control of DC Microgrids with Communication Delays. 115 7.1 Problem Formulation . 115 7.1.1 DC Micriogrid Models. 115 7.1.2 Objectives . 117 7.2 Global Optimization Schemes
. 118 7.3 Distributed Optimization Schemes . 119 7.4 Distributed Control Schemes in the Presence of Communication Delays . 123 7.5 Simulation Case Studies. 127 7.5.1 A Modified 6-Bus DC Microgrid for a Trolleybus System . 127 7.5.2 Optimality . 129 7.5.3 The Impacts of Load Variations . 129 7.5.4 Plug-and-Play Features . 131 7.5.5 The Tradeoff Between Load Sharing and Voltage Regulation . 132 7.5.6 The Effects of Communication Delays . 132 7.6 Concluding Remarks. 134 7.7 Notes . 135 References . 135 8 Distributed Energy Management for Smart Grids . 8.1 Preliminaries and Problem Formulation. 8.1.1 Notations and Preliminaries
. 8.1.2 Network Models . 8.1.3 Social Welfare Maximization . 8.2 Distributed Optimal Solutions . 8.2.1 Distributed Algorithms . 8.2.2 Convergence Analysis . 8.3 Distributed Event-Triggered Control Algorithms . 8.4 Simulation Case Studies . 8.4.1 Case 1 : Continuous Communication Schemes . 8.4.2 Case 2: Event-Triggered Communication Schemes. 137 137 137 138 139 141 142 143 146 151 153 155
xii Contents 8.5 Concluding Remarks. 8.6 Notes . References . 158 158 158 Index. 161 |
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| language | English |
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| publishDate | 2022 |
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| spelling | Ding, Lei ca. 20./21. Jh. Verfasser (DE-588)1281463574 aut Distributed control and optimization of networked microgrids a multi-agent system based approach Cham, Switzerland Springer Nature 2022 xiii, 161 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Power systems Energieerzeugung (DE-588)4070813-5 gnd rswk-swf Energieerzeugung (DE-588)4070813-5 s DE-604 Han, Qing-Long ca. 20./21. Jh. Verfasser (DE-588)1281142530 aut Ning, Boda ca. 20./21. Jh. Verfasser (DE-588)128114472X aut 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=034018550&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Ding, Lei ca. 20./21. Jh Han, Qing-Long ca. 20./21. Jh Ning, Boda ca. 20./21. Jh Distributed control and optimization of networked microgrids a multi-agent system based approach Energieerzeugung (DE-588)4070813-5 gnd |
| subject_GND | (DE-588)4070813-5 |
| title | Distributed control and optimization of networked microgrids a multi-agent system based approach |
| title_auth | Distributed control and optimization of networked microgrids a multi-agent system based approach |
| title_exact_search | Distributed control and optimization of networked microgrids a multi-agent system based approach |
| title_exact_search_txtP | Distributed control and optimization of networked microgrids a multi-agent system based approach |
| title_full | Distributed control and optimization of networked microgrids a multi-agent system based approach |
| title_fullStr | Distributed control and optimization of networked microgrids a multi-agent system based approach |
| title_full_unstemmed | Distributed control and optimization of networked microgrids a multi-agent system based approach |
| title_short | Distributed control and optimization of networked microgrids |
| title_sort | distributed control and optimization of networked microgrids a multi agent system based approach |
| title_sub | a multi-agent system based approach |
| topic | Energieerzeugung (DE-588)4070813-5 gnd |
| topic_facet | Energieerzeugung |
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