Publication type: Conference paper
Type of review: Peer review (publication)
Title: Quantifiable resilience analytics of power grids by simulating power flows
Authors: Hupp, Daniel
Hruz, Tomas
Mock, Ralf Günter
et. al: No
Proceedings: Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15)
Editors of the parent work: Baraldi, Piero
Di Maio, Francesco
Zio, Enrico
Conference details: 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15), Venice, Italy, 1-5 November 2020
Issue Date: Nov-2020
Publisher / Ed. Institution: Research Publishing
Publisher / Ed. Institution: Singapore
ISBN: 978-981-14-8593-0
Language: English
Subjects: Resilience analytics; Resilience metric; Power grids; Optimal power flow
Subject (DDC): 338.927: Environmental economics and sustainable development
621.3: Electrical, communications, control engineering
Abstract: New challenges are expected to emerge for the operation of power grids and associated power flows from the growing use of renewable energies and the increasing demand of electricity due to the electrification of mobility. Current stability considerations of power grid under normal operating conditions are presumably insufficient to handle contingencies. For this, the concept of resilience analysis offers advantages to study the operation under the influence of disturbances. However, there is still a lack of suitable approaches. This includes a lack of metrics for making quantitative statements about the grid resilience. This paper develops a qualitative concept of power grid resilience and complements it by a quantitative analysis method, which uses the modeling and simulation of power flows. This concept is illustrated by a case study. So, this paper makes a contribution to provide a suitable approach and a quantitative metric for power grid resilience.
URI: https://www.rpsonline.com.sg/proceedings/esrel2020/pdf/3663.pdf
https://digitalcollection.zhaw.ch/handle/11475/21015
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Sustainable Development (INE)
Published as part of the ZHAW project: Resilienz und Effizienz intelligenter und nachhaltiger Stromnetze: mesoskopische Modellierung und stochastische Simulation
Appears in collections:Publikationen School of Engineering

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