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
:
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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100 1 |a Bertsch, Valentin. 
245 1 0 |a Advances in Energy System Optimization :  |b Proceedings of the 2nd International Symposium on Energy System Optimization. 
250 |a 1st ed. 
264 1 |a Cham :  |b Springer International Publishing AG,  |c 2019. 
264 4 |c ©2020. 
300 |a 1 online resource (179 pages) 
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 Trends in Mathematics Series 
505 0 |a 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. 
505 8 |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 -- 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). 
505 8 |a 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. 
588 |a Description based on publisher supplied metadata and other sources. 
590 |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.  
655 4 |a Electronic books. 
700 1 |a Ardone, Armin. 
700 1 |a Suriyah, Michael. 
700 1 |a Fichtner, Wolf. 
700 1 |a Leibfried, Thomas. 
700 1 |a Heuveline, Vincent. 
776 0 8 |i Print version:  |a Bertsch, Valentin  |t Advances in Energy System Optimization  |d Cham : Springer International Publishing AG,c2019  |z 9783030321567 
797 2 |a ProQuest (Firm) 
830 0 |a Trends in Mathematics Series 
856 4 0 |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5989084  |z Click to View