at - Automatisierungstechnik · 2019 · 12 citations · 25 references
EngineeringElectrical EngineeringSystems EngineeringEnergy ManagementEnergy SystemsPower ElectronicsConverter TopologiesDistributed Energy ResourcesPower Grid AnalysisPower SystemsSmart GridsVoltage RegulationConverter ControlGrid Stability AnalysisGrid-connected Converter ControlGrid-connected Converter StabilityMachine Learning For Smart GridsMulti-criteria ComparisonPower Conversion Control StrategiesPower System Flexibility Assessment
Abstract This paper proposes a standardized simulation environment to evaluate current and to design future multi-level grid control strategies in terms of a safe and reliable operation in future converter-dominated grids. For this, the first step is to develop a taxonomy for the uniform description of multi-level grid control strategies, to define relevant design options and to derive the relevant evaluation and comparison criteria. Furthermore, aspects of new ICT-methods (e. g., machine learning decoders for aggregated flexibility description) are presented, which can help to tap the decentral flexibility potentials in future grid control strategies. Lastly, the major converter-related aspects are investigated. In particular, the stability of converter clusters in large-scale energy systems is analysed and new monitoring possibilities utilizing converter systems will be introduced.
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Daniel Olivares, Ali Mehrizi‐Sani, Claudio A. Cañizares et al. · IEEE Transactions on Smart Grid · 2014 · 3K citations · Full text
Foundations and Challenges of Low-Inertia Systems (Invited Paper)
Federico Milano, Florian Dörfler, Gabriela Hug et al. · 2018 · 971 citations · Full text