Clustering and determination of relevant network operating points in analytical reliability calculations
Paper number
754
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Möhrke, Fabian, University of Wuppertal, Germany
Kamps, Kristof, University of Wuppertal, Germany
Zdrallek, Markus , University of Wuppertal, Germany
Awater, Philipp , Power Technologies International Siemens AG, Germany
Schwan, Michael , Power Technologies International Siemens AG, Germany
Osterholt, André , MVV Netze GmbH, Germany
Kamps, Kristof, University of Wuppertal, Germany
Zdrallek, Markus , University of Wuppertal, Germany
Awater, Philipp , Power Technologies International Siemens AG, Germany
Schwan, Michael , Power Technologies International Siemens AG, Germany
Osterholt, André , MVV Netze GmbH, Germany
Abstract
Electrical distribution grids are facing the integration of new grid participants, e.g. distributed generators or electric vehicles. High shares of new grid participants cause new load flow situations within the grid and topology changes in distribution grid planning, thereby affecting grid planning, protection and reliability. During grid faults and restoration process, grid topology and load flow situations change, potentially leading to voltage violations and equipment overloads and thereby to further unavailability of consumers or distributed generators. For an exact reliability assessment, an enhanced determination of relevant network operating points considering new grid participants has to be conducted. In this contribution, a determination method based on clustering of time series is presented and exemplary results based on real distribution grids are shown. Results emphasize that the relevance of an exact determination depends on grid and distributed generator technology type.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/137
http://dx.doi.org/10.34890/273
http://dx.doi.org/10.34890/273
ISSN
2032-9644
ISBN
978-2-9602415-0-1