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Data-Driven Local Control Design for Active Distribution Grids Using Off-Line Optimal Power Flow and Machine Learning Techniques
The optimal control of distribution networks often requires monitoring and communication infrastructure, either centralized or …
S. Karagiannopoulos
,
Petros Aristidou
,
G. Hug
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Online Estimation of Power System Inertia Using Dynamic Regressor Extension and Mixing
The increasing penetration of power-electronic-interfaced devices is expected to have a significant effect on the overall system …
J. Schiffer
,
Petros Aristidou
,
R. Ortega
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Data-driven Control Design Schemes in Active Distribution Grids: Capabilities and Challenges
Today, system operators rely on local control of distributed energy resources (DERs), such as photovoltaic units, wind turbines and …
S. Karagiannopoulos
,
R. Dobbe
,
Petros Aristidou
,
D. Callaway
,
G. Hug
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