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ETH Zurich

Data-driven and Optimization-based Methods for Active Distribution Grids

dc:creator Karagiannopoulos, Stavros

dc:date2019

Degree

thesis:*

Grantor dc:publisher: ETH Zurich
Year dc:date: 2019

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Karagiannopoulos, Stavros
Contributors dc:contributor: Hug, Gabriela
Aristidou, Petros
Mancarella, Pierluigi

Subjects

dc:subject × 3

Data-Driven Models; Data-driven control; Optimal Power Flow (OPF); Distribution Grids; Machine learning (artificial intelligence); Power system control; distribution grid planning; distribution grid planning; Optimization and Optimal Control; Optimization under uncertainty; Chance Constrained Optimal Power Flow; Clustering algorithms; Support Vector Machine; Segmented regression model; Ancillary Services; Frequency control; Voltage support; Reliability analysis; Pareto optimality; Microgrids; Stability analysis; Convergence analysis; Unbalanced Optimal Power Flow; Unbalanced operation; Distributed energy resources; Experimental validation; Decentralized control; Centralized Control; Scalability
info:eu-repo/classification/ddc/621.3
Electric engineering

Rights

dc:rights

Statement dc:rights: info:eu-repo/semantics/openAccess

In Copyright - Non-Commercial Use Permitted
Licence: http://rightsstatements.org/page/InC-NC/1.0/
Language dc:language: en

Identifiers

dc:identifier.*

Identifier: https://doi.org/10.3929/ethz-b-000379625
urn:isbn:978-3-906916-75-0
OAI identifier oai:identifier: oai:www.research-collection.ethz.ch:20.500.11850/379625

Chain of custody

source

Harvested from: ETH Zürich
Base URL: www.research-collection.ethz.ch/oai/request
Last updated: 2026-07-27
Source record: OAI-PMH GetRecord

related terms

citation

Karagiannopoulos, Stavros. Data-driven and Optimization-based Methods for Active Distribution Grids. ETH Zurich, 2019. http://hdl.handle.net/20.500.11850/379625

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