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

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

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Bibliographic Details
Superior document:Trends in Mathematics Series
:
Bertsch, Valentin.
TeilnehmendeR:
Ardone, Armin.
Suriyah, Michael.
Fichtner, Wolf.
Leibfried, Thomas.
Heuveline, Vincent.
Place / Publishing House:Cham : : Springer International Publishing AG,, 2019.
©2020.
Year of Publication:2019
Edition:1st ed.
Language:English
Series:Trends in Mathematics Series
Online Access:
Physical Description:1 online resource (179 pages)
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Table of 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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