Session | ||
TUE11: Optimal power flow
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Presentations | ||
Analyzing Data Characteristics for Learning OPFs Escuela Superior Politécnica Del Litoral, ESPOL A Machine Learning-Based Privacy-Preserving Approach to Incorporate Distributed Generators in AC Optimal Power Flow 1Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Germany; 2Department of Electrical and Computer Engineering, National University of Singapore, Singapore; 3School of Computing, National University of Singapore, Singapore An AC OPF based Clearing Mechanism for Local Flexibility Markets 1University of Glasgow, United Kingdom; 2Intelligent and Autonomous Systems Group, Centrum Wiskunde & Informatica (CWI), Amsterdam, The Netherlands Enhanced Optimal Power Flow Based Droop Control in MMC-MTDC Systems Delft University of Technology Risk-based Stochastic Optimal Power Flow for AC/DC Grids Using Polynomial Chaos Expansion 1KU Leuven, Electrical Engineering, Leuven, Belgium; 2EnergyVille, Energy Transmission Competence Hub (Etch), Genk, Belgium Multi-Period Optimal Power Flow: Convex Relaxations and Parallel Algorithms 1Risk Analytics and Optimization, EPF Lausanne, Switzerland; 2EEH - Power Systems Laboratory, ETH Zürich, Switzerland Coordinated Optimal Power Flow and Control of a DC Overlay Grid over Asynchronous AC grids 1KU Leuven/Etch by EnergyVille, Leuven/Genk, Belgium; 2University of Strathclyde, Glasgow, Scotland; 3SuperNode, Dublin, Ireland Scalable Multi-Voltage-Level Optimal Power Flow for Curative Grid Curtailment Measures IAEW at RWTH Aachen University, Germany Acceleration of a decentralized radial AC-OPF on GPU 1Universite Paris-Saclay ENS Paris-Saclay, CNRS, SATIE, 91190, Gif-sur-Yvette, France; 2UniR ENS Rennes, SATIE, 35170, Bruz, France |