Advances in Energy System Optimization : : Proceedings of the 2nd International Symposium on Energy System Optimization.

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Superior document:Trends in Mathematics Series
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TeilnehmendeR:
Place / Publishing House:Cham : : Springer International Publishing AG,, 2019.
©2020.
Year of Publication:2019
Edition:1st ed.
Language:English
Series:Trends in Mathematics Series
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Physical Description:1 online resource (179 pages)
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spelling Bertsch, Valentin.
Advances in Energy System Optimization : Proceedings of the 2nd International Symposium on Energy System Optimization.
1st ed.
Cham : Springer International Publishing AG, 2019.
©2020.
1 online resource (179 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Trends in Mathematics Series
Intro -- Preface -- Contents -- Part I Optimal Power Flow -- Feasibility vs. Optimality in Distributed AC OPF: A Case Study Considering ADMM and ALADIN -- 1 Introduction -- 2 ALADIN and ADMM -- 3 Numerical Results -- 4 Analysis of ADMM with Feasible Initialization for ρτ̔̈2192;∞ -- 5 Conclusions -- References -- Security Analysis of Embedded HVDC in Transmission Grids -- 1 Introduction -- 2 The Mathematical Model -- 3 Case Study -- 4 Implementation -- 5 Results -- 6 Conclusion and Future Work -- References -- Multi-area Coordination of Security-Constrained Dynamic Optimal Power Flow in AC-DC Grids with Energy Storage -- 1 Introduction -- 2 Security-Constrained Dynamic Optimal Power Flow (SC-D-OPF) -- 3 Distributed Formulation -- 4 Network Decomposition in AC-DC Grids -- 4.1 Decoupling of AC or DC Tie Line -- 4.2 Building Consensus Constraint Matrix A -- 5 Implemented ADMM Algorithm -- 6 Results -- 6.1 Test Scenario -- 6.2 Multi-area SC-D-OPF -- 7 Conclusion -- Appendix -- References -- A Domain Decomposition Approach to Solve Dynamic Optimal Power Flow Problems in Parallel -- 1 Introduction -- 2 Dynamic Optimal Power Flow -- 2.1 Formulation of the DOPF -- 2.1.1 Constraints -- 2.1.2 Cost Function -- 2.1.3 Optimisation Problem -- 3 Primal Dual Interior Point Method for DOPF -- 3.1 The PDIPM Algorithm -- 3.2 KKT Matrix in PDIPM -- 3.3 Inexact PDIPM -- 3.4 Termination Criteria for PDIPM -- 4 Schwarz Domain Decomposition Method for DOPF -- 4.1 Mathematical Formulation of the Additive Schwarz Method -- 4.2 Implementation -- 4.3 Structure of Local KKT Matrices -- 4.4 Relationship Between the ASM and the Constraint Preconditioner -- 5 Numerical Experiments -- 5.1 Parallel Speedup -- 5.2 Eigenvalue Distribution -- 6 Conclusion -- References -- Part II Energy System Integration -- Optimal Control of Compressor Stations in a Coupled Gas-to-Power Network.
1 Introduction -- 2 Optimal Control Problem -- 2.1 The Isentropic Euler Equations -- 2.2 Coupling at Gas Nodes -- 2.3 Compressor Stations -- 2.4 Power Model -- 2.5 Coupling -- 3 Numerical Results -- 3.1 Problem Setup -- 3.2 Discretization and Optimization Schemes -- 3.3 Results -- 4 Conclusion -- References -- Utilising Distributed Flexibilities in the European Transmission Grid -- 1 Introduction -- 2 Modelling the Interaction of Market and Grid Operation -- 2.1 Electricity Market -- 2.2 Modelling Flexibilities -- 2.3 Storage Technologies -- 2.4 Demand Flexibilities -- 2.5 Renewable Flexibilities -- 2.6 Grid Operation -- 3 Case Study -- 3.1 Transmission Grid Model -- 3.2 Parameters for Flexibility Modelling -- 3.2.1 Heat Pumps in Households -- 3.2.2 Heat Pumps in District Heating -- 3.2.3 BEV PBEV -- 3.2.4 PV-BESS -- 3.2.5 RES-E Flexibilities -- 4 Results -- 4.1 Scenarios -- 4.2 The Impact of Distributed Flexibilities -- 4.3 AC vs. DC Formulation -- 5 Conclusion -- References -- Part III Managing Demand Response -- A Discussion of Mixed Integer Linear Programming Models of Thermostatic Loads in Demand Response -- 1 Introduction -- 2 Development of the Building Thermal Model -- 3 Mathematical Models of a Thermostatically-Controlled AC System -- 3.1 Modelling the Thermostat Behavior -- 3.2 Modelling Minimum ON/OFF Duration Periods -- 3.3 Modelling an Inverter AC -- 3.4 Modelling the Cost vs. Comfort Trade-Off -- 4 Illustrative Results -- 4.1 Data -- 4.2 Results -- 5 Conclusion -- References -- Weighted Fair Queuing as a Scheduling Algorithm for Deferrable Loads in Smart Grids -- 1 Introduction -- 2 Materials and Methods -- 2.1 Model -- 2.2 Population -- 2.3 Objective Function -- 2.4 Algorithms -- 2.4.1 Greedy -- 2.4.2 Weighted Fair Queuing -- 2.4.3 Weight by Power (WFQ-Power) -- 2.4.4 Weight by Wait Time (WFQ-Time) -- 2.4.5 By Region (WFQ-Geo).
3 Model Limitations -- 4 Results -- 5 Discussion -- 5.1 Improvement -- 5.2 Distress -- 5.3 Methodological Contribution &amp -- Policy Advice -- 5.4 Practical Implications -- 5.5 Algorithm Comparison -- 6 Related Work -- Appendix -- References -- Part IV Planning and Operation of Distribution Grids -- Cost Optimal Design of Zero Emission Neighborhoods' (ZENs) Energy System -- 1 Introduction -- 2 State of the Art and Contribution -- 3 ZENIT Model Description -- 4 Implementation -- 5 Results -- 6 Limitations -- 7 Conclusion -- Nomenclature -- References -- Efficient Operation of Modular Grid-Connected Battery Inverters for RES Integration -- 1 Introduction -- 2 Methodology -- 2.1 Mathematical Model -- 2.1.1 Power Flow Model -- 2.1.2 Consideration of Losses -- 2.1.3 Parameters and Decision Variables -- 2.1.4 Target Function -- 2.1.5 Constraints -- 2.1.6 Implementation -- 2.2 Data -- 3 Results and Discussion -- 3.1 Losses -- 3.2 Battery Operation -- 4 Conclusions -- References.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Ardone, Armin.
Suriyah, Michael.
Fichtner, Wolf.
Leibfried, Thomas.
Heuveline, Vincent.
Print version: Bertsch, Valentin Advances in Energy System Optimization Cham : Springer International Publishing AG,c2019 9783030321567
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5989084 Click to View
language English
format eBook
author Bertsch, Valentin.
spellingShingle Bertsch, Valentin.
Advances in Energy System Optimization : Proceedings of the 2nd International Symposium on Energy System Optimization.
Trends in Mathematics Series
Intro -- Preface -- Contents -- Part I Optimal Power Flow -- Feasibility vs. Optimality in Distributed AC OPF: A Case Study Considering ADMM and ALADIN -- 1 Introduction -- 2 ALADIN and ADMM -- 3 Numerical Results -- 4 Analysis of ADMM with Feasible Initialization for ρτ̔̈2192;∞ -- 5 Conclusions -- References -- Security Analysis of Embedded HVDC in Transmission Grids -- 1 Introduction -- 2 The Mathematical Model -- 3 Case Study -- 4 Implementation -- 5 Results -- 6 Conclusion and Future Work -- References -- Multi-area Coordination of Security-Constrained Dynamic Optimal Power Flow in AC-DC Grids with Energy Storage -- 1 Introduction -- 2 Security-Constrained Dynamic Optimal Power Flow (SC-D-OPF) -- 3 Distributed Formulation -- 4 Network Decomposition in AC-DC Grids -- 4.1 Decoupling of AC or DC Tie Line -- 4.2 Building Consensus Constraint Matrix A -- 5 Implemented ADMM Algorithm -- 6 Results -- 6.1 Test Scenario -- 6.2 Multi-area SC-D-OPF -- 7 Conclusion -- Appendix -- References -- A Domain Decomposition Approach to Solve Dynamic Optimal Power Flow Problems in Parallel -- 1 Introduction -- 2 Dynamic Optimal Power Flow -- 2.1 Formulation of the DOPF -- 2.1.1 Constraints -- 2.1.2 Cost Function -- 2.1.3 Optimisation Problem -- 3 Primal Dual Interior Point Method for DOPF -- 3.1 The PDIPM Algorithm -- 3.2 KKT Matrix in PDIPM -- 3.3 Inexact PDIPM -- 3.4 Termination Criteria for PDIPM -- 4 Schwarz Domain Decomposition Method for DOPF -- 4.1 Mathematical Formulation of the Additive Schwarz Method -- 4.2 Implementation -- 4.3 Structure of Local KKT Matrices -- 4.4 Relationship Between the ASM and the Constraint Preconditioner -- 5 Numerical Experiments -- 5.1 Parallel Speedup -- 5.2 Eigenvalue Distribution -- 6 Conclusion -- References -- Part II Energy System Integration -- Optimal Control of Compressor Stations in a Coupled Gas-to-Power Network.
1 Introduction -- 2 Optimal Control Problem -- 2.1 The Isentropic Euler Equations -- 2.2 Coupling at Gas Nodes -- 2.3 Compressor Stations -- 2.4 Power Model -- 2.5 Coupling -- 3 Numerical Results -- 3.1 Problem Setup -- 3.2 Discretization and Optimization Schemes -- 3.3 Results -- 4 Conclusion -- References -- Utilising Distributed Flexibilities in the European Transmission Grid -- 1 Introduction -- 2 Modelling the Interaction of Market and Grid Operation -- 2.1 Electricity Market -- 2.2 Modelling Flexibilities -- 2.3 Storage Technologies -- 2.4 Demand Flexibilities -- 2.5 Renewable Flexibilities -- 2.6 Grid Operation -- 3 Case Study -- 3.1 Transmission Grid Model -- 3.2 Parameters for Flexibility Modelling -- 3.2.1 Heat Pumps in Households -- 3.2.2 Heat Pumps in District Heating -- 3.2.3 BEV PBEV -- 3.2.4 PV-BESS -- 3.2.5 RES-E Flexibilities -- 4 Results -- 4.1 Scenarios -- 4.2 The Impact of Distributed Flexibilities -- 4.3 AC vs. DC Formulation -- 5 Conclusion -- References -- Part III Managing Demand Response -- A Discussion of Mixed Integer Linear Programming Models of Thermostatic Loads in Demand Response -- 1 Introduction -- 2 Development of the Building Thermal Model -- 3 Mathematical Models of a Thermostatically-Controlled AC System -- 3.1 Modelling the Thermostat Behavior -- 3.2 Modelling Minimum ON/OFF Duration Periods -- 3.3 Modelling an Inverter AC -- 3.4 Modelling the Cost vs. Comfort Trade-Off -- 4 Illustrative Results -- 4.1 Data -- 4.2 Results -- 5 Conclusion -- References -- Weighted Fair Queuing as a Scheduling Algorithm for Deferrable Loads in Smart Grids -- 1 Introduction -- 2 Materials and Methods -- 2.1 Model -- 2.2 Population -- 2.3 Objective Function -- 2.4 Algorithms -- 2.4.1 Greedy -- 2.4.2 Weighted Fair Queuing -- 2.4.3 Weight by Power (WFQ-Power) -- 2.4.4 Weight by Wait Time (WFQ-Time) -- 2.4.5 By Region (WFQ-Geo).
3 Model Limitations -- 4 Results -- 5 Discussion -- 5.1 Improvement -- 5.2 Distress -- 5.3 Methodological Contribution &amp -- Policy Advice -- 5.4 Practical Implications -- 5.5 Algorithm Comparison -- 6 Related Work -- Appendix -- References -- Part IV Planning and Operation of Distribution Grids -- Cost Optimal Design of Zero Emission Neighborhoods' (ZENs) Energy System -- 1 Introduction -- 2 State of the Art and Contribution -- 3 ZENIT Model Description -- 4 Implementation -- 5 Results -- 6 Limitations -- 7 Conclusion -- Nomenclature -- References -- Efficient Operation of Modular Grid-Connected Battery Inverters for RES Integration -- 1 Introduction -- 2 Methodology -- 2.1 Mathematical Model -- 2.1.1 Power Flow Model -- 2.1.2 Consideration of Losses -- 2.1.3 Parameters and Decision Variables -- 2.1.4 Target Function -- 2.1.5 Constraints -- 2.1.6 Implementation -- 2.2 Data -- 3 Results and Discussion -- 3.1 Losses -- 3.2 Battery Operation -- 4 Conclusions -- References.
author_facet Bertsch, Valentin.
Ardone, Armin.
Suriyah, Michael.
Fichtner, Wolf.
Leibfried, Thomas.
Heuveline, Vincent.
author_variant v b vb
author2 Ardone, Armin.
Suriyah, Michael.
Fichtner, Wolf.
Leibfried, Thomas.
Heuveline, Vincent.
author2_variant a a aa
m s ms
w f wf
t l tl
v h vh
author2_role TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
author_sort Bertsch, Valentin.
title Advances in Energy System Optimization : Proceedings of the 2nd International Symposium on Energy System Optimization.
title_sub Proceedings of the 2nd International Symposium on Energy System Optimization.
title_full Advances in Energy System Optimization : Proceedings of the 2nd International Symposium on Energy System Optimization.
title_fullStr Advances in Energy System Optimization : Proceedings of the 2nd International Symposium on Energy System Optimization.
title_full_unstemmed Advances in Energy System Optimization : Proceedings of the 2nd International Symposium on Energy System Optimization.
title_auth Advances in Energy System Optimization : Proceedings of the 2nd International Symposium on Energy System Optimization.
title_new Advances in Energy System Optimization :
title_sort advances in energy system optimization : proceedings of the 2nd international symposium on energy system optimization.
series Trends in Mathematics Series
series2 Trends in Mathematics Series
publisher Springer International Publishing AG,
publishDate 2019
physical 1 online resource (179 pages)
edition 1st ed.
contents Intro -- Preface -- Contents -- Part I Optimal Power Flow -- Feasibility vs. Optimality in Distributed AC OPF: A Case Study Considering ADMM and ALADIN -- 1 Introduction -- 2 ALADIN and ADMM -- 3 Numerical Results -- 4 Analysis of ADMM with Feasible Initialization for ρτ̔̈2192;∞ -- 5 Conclusions -- References -- Security Analysis of Embedded HVDC in Transmission Grids -- 1 Introduction -- 2 The Mathematical Model -- 3 Case Study -- 4 Implementation -- 5 Results -- 6 Conclusion and Future Work -- References -- Multi-area Coordination of Security-Constrained Dynamic Optimal Power Flow in AC-DC Grids with Energy Storage -- 1 Introduction -- 2 Security-Constrained Dynamic Optimal Power Flow (SC-D-OPF) -- 3 Distributed Formulation -- 4 Network Decomposition in AC-DC Grids -- 4.1 Decoupling of AC or DC Tie Line -- 4.2 Building Consensus Constraint Matrix A -- 5 Implemented ADMM Algorithm -- 6 Results -- 6.1 Test Scenario -- 6.2 Multi-area SC-D-OPF -- 7 Conclusion -- Appendix -- References -- A Domain Decomposition Approach to Solve Dynamic Optimal Power Flow Problems in Parallel -- 1 Introduction -- 2 Dynamic Optimal Power Flow -- 2.1 Formulation of the DOPF -- 2.1.1 Constraints -- 2.1.2 Cost Function -- 2.1.3 Optimisation Problem -- 3 Primal Dual Interior Point Method for DOPF -- 3.1 The PDIPM Algorithm -- 3.2 KKT Matrix in PDIPM -- 3.3 Inexact PDIPM -- 3.4 Termination Criteria for PDIPM -- 4 Schwarz Domain Decomposition Method for DOPF -- 4.1 Mathematical Formulation of the Additive Schwarz Method -- 4.2 Implementation -- 4.3 Structure of Local KKT Matrices -- 4.4 Relationship Between the ASM and the Constraint Preconditioner -- 5 Numerical Experiments -- 5.1 Parallel Speedup -- 5.2 Eigenvalue Distribution -- 6 Conclusion -- References -- Part II Energy System Integration -- Optimal Control of Compressor Stations in a Coupled Gas-to-Power Network.
1 Introduction -- 2 Optimal Control Problem -- 2.1 The Isentropic Euler Equations -- 2.2 Coupling at Gas Nodes -- 2.3 Compressor Stations -- 2.4 Power Model -- 2.5 Coupling -- 3 Numerical Results -- 3.1 Problem Setup -- 3.2 Discretization and Optimization Schemes -- 3.3 Results -- 4 Conclusion -- References -- Utilising Distributed Flexibilities in the European Transmission Grid -- 1 Introduction -- 2 Modelling the Interaction of Market and Grid Operation -- 2.1 Electricity Market -- 2.2 Modelling Flexibilities -- 2.3 Storage Technologies -- 2.4 Demand Flexibilities -- 2.5 Renewable Flexibilities -- 2.6 Grid Operation -- 3 Case Study -- 3.1 Transmission Grid Model -- 3.2 Parameters for Flexibility Modelling -- 3.2.1 Heat Pumps in Households -- 3.2.2 Heat Pumps in District Heating -- 3.2.3 BEV PBEV -- 3.2.4 PV-BESS -- 3.2.5 RES-E Flexibilities -- 4 Results -- 4.1 Scenarios -- 4.2 The Impact of Distributed Flexibilities -- 4.3 AC vs. DC Formulation -- 5 Conclusion -- References -- Part III Managing Demand Response -- A Discussion of Mixed Integer Linear Programming Models of Thermostatic Loads in Demand Response -- 1 Introduction -- 2 Development of the Building Thermal Model -- 3 Mathematical Models of a Thermostatically-Controlled AC System -- 3.1 Modelling the Thermostat Behavior -- 3.2 Modelling Minimum ON/OFF Duration Periods -- 3.3 Modelling an Inverter AC -- 3.4 Modelling the Cost vs. Comfort Trade-Off -- 4 Illustrative Results -- 4.1 Data -- 4.2 Results -- 5 Conclusion -- References -- Weighted Fair Queuing as a Scheduling Algorithm for Deferrable Loads in Smart Grids -- 1 Introduction -- 2 Materials and Methods -- 2.1 Model -- 2.2 Population -- 2.3 Objective Function -- 2.4 Algorithms -- 2.4.1 Greedy -- 2.4.2 Weighted Fair Queuing -- 2.4.3 Weight by Power (WFQ-Power) -- 2.4.4 Weight by Wait Time (WFQ-Time) -- 2.4.5 By Region (WFQ-Geo).
3 Model Limitations -- 4 Results -- 5 Discussion -- 5.1 Improvement -- 5.2 Distress -- 5.3 Methodological Contribution &amp -- Policy Advice -- 5.4 Practical Implications -- 5.5 Algorithm Comparison -- 6 Related Work -- Appendix -- References -- Part IV Planning and Operation of Distribution Grids -- Cost Optimal Design of Zero Emission Neighborhoods' (ZENs) Energy System -- 1 Introduction -- 2 State of the Art and Contribution -- 3 ZENIT Model Description -- 4 Implementation -- 5 Results -- 6 Limitations -- 7 Conclusion -- Nomenclature -- References -- Efficient Operation of Modular Grid-Connected Battery Inverters for RES Integration -- 1 Introduction -- 2 Methodology -- 2.1 Mathematical Model -- 2.1.1 Power Flow Model -- 2.1.2 Consideration of Losses -- 2.1.3 Parameters and Decision Variables -- 2.1.4 Target Function -- 2.1.5 Constraints -- 2.1.6 Implementation -- 2.2 Data -- 3 Results and Discussion -- 3.1 Losses -- 3.2 Battery Operation -- 4 Conclusions -- References.
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Dynamic Optimal Power Flow -- 2.1 Formulation of the DOPF -- 2.1.1 Constraints -- 2.1.2 Cost Function -- 2.1.3 Optimisation Problem -- 3 Primal Dual Interior Point Method for DOPF -- 3.1 The PDIPM Algorithm -- 3.2 KKT Matrix in PDIPM -- 3.3 Inexact PDIPM -- 3.4 Termination Criteria for PDIPM -- 4 Schwarz Domain Decomposition Method for DOPF -- 4.1 Mathematical Formulation of the Additive Schwarz Method -- 4.2 Implementation -- 4.3 Structure of Local KKT Matrices -- 4.4 Relationship Between the ASM and the Constraint Preconditioner -- 5 Numerical Experiments -- 5.1 Parallel Speedup -- 5.2 Eigenvalue Distribution -- 6 Conclusion -- References -- Part II Energy System Integration -- Optimal Control of Compressor Stations in a Coupled Gas-to-Power Network.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">1 Introduction -- 2 Optimal Control Problem -- 2.1 The Isentropic Euler Equations -- 2.2 Coupling at Gas Nodes -- 2.3 Compressor Stations -- 2.4 Power Model 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Development of the Building Thermal Model -- 3 Mathematical Models of a Thermostatically-Controlled AC System -- 3.1 Modelling the Thermostat Behavior -- 3.2 Modelling Minimum ON/OFF Duration Periods -- 3.3 Modelling an Inverter AC -- 3.4 Modelling the Cost vs. Comfort Trade-Off -- 4 Illustrative Results -- 4.1 Data -- 4.2 Results -- 5 Conclusion -- References -- Weighted Fair Queuing as a Scheduling Algorithm for Deferrable Loads in Smart Grids -- 1 Introduction -- 2 Materials and Methods -- 2.1 Model -- 2.2 Population -- 2.3 Objective Function -- 2.4 Algorithms -- 2.4.1 Greedy -- 2.4.2 Weighted Fair Queuing -- 2.4.3 Weight by Power (WFQ-Power) -- 2.4.4 Weight by Wait Time (WFQ-Time) -- 2.4.5 By Region (WFQ-Geo).</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3 Model Limitations -- 4 Results -- 5 Discussion -- 5.1 Improvement -- 5.2 Distress -- 5.3 Methodological Contribution &amp;amp -- Policy Advice -- 5.4 Practical Implications -- 5.5 Algorithm 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