Critical infrastructure resilience case-study: Electricity transmission and distribution in Finland

2019 ◽  
pp. 83-99
Author(s):  
Keyword(s):  
Critical Infrastructure ◽  
Electricity Transmission ◽  
Infrastructure Resilience ◽  
Transmission And Distribution

scholarly journals Impact of impedance unbalance on the efficiency of electricity transmission and distribution - A case study

2017 ◽  
Vol 68 (6) ◽  
pp. 492-495 ◽  
Author(s):  
L’uboš Pavlov ◽  
L’uboš Skurčák ◽  
Juraj Chovanec ◽  
Juraj Altus
Keyword(s):  
Real System ◽  
Voltage Level ◽  
Electricity Transmission ◽  
Electricity System ◽  
Ohmic Losses ◽  
Transmission And Distribution

Abstract This article is devoted to the analysis of the possible influence of impedance asymmetry on the efficiency of electricity transmission and distribution in the electricity system in Slovakia, at a voltage level of 110 kV - 400 kV, using synchronic phasor monitoring results. For simplicity of calculations, in practice, the impedance imbalance from mutual interfacial inductive capacitances bonds is neglected. In this way, the 3-phase network is interpreted as symmetrical in the calculations. In this case, it is possible to determine only some components of losses (ohmic losses, corona loss, leakages, etc). The influence of impedance asymmetry can be quantified by calculation using the results of the monitoring of the synchronous phasors of selected electricity system elements (OHL, transformer, choke) or by 3-phase modelling of real system elements. frequency to test the transformer for induced over voltage test, and its characteristics is analysed.

scholarly journals Business Continuity for Critical Infrastructure Operators

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Harri Ruoslahti
Keyword(s):  
Adverse Events ◽  
Critical Infrastructure ◽  
Research Question ◽  
Management Strategies ◽  
Case Study Research ◽  
Business Continuity ◽  
Critical Infrastructures ◽  
Open Communication ◽  
Infrastructure Resilience

Critical infrastructures often lack resilience and easily lose critical functionalities if hit by adverse events. Continuity management strategies for critical infrastructure operators and the networks that they form, rely also on the functionality of other interrelated networks. Disruptions in operations may affect society and for this reason, securing the operations of critical infrastructure operators is important. The technological impacts of CPS become evident to the resilience of all fields of critical infrastructure, but there is also human elements to take into account. The research question of this study is: How to enhance business continuity of critical infrastructure? This case study research uses qualitative methods collected by conducting interviews of resilience and continuity professionals who work with Finnish critical infrastructure. Resilience and continuity management are key for critical infrastructure operators. Important factors identified were identifying risks, critical activities, key personnel, creating guidelines and procedures, and open communication, which themes were recognised as important to improve resilience and manage continuity.

scholarly journals Assessment of Critical Infrastructure Resilience to Flooding Using a Response Curve Approach

2018 ◽  
Vol 10 (10) ◽  
pp. 3470 ◽  
Author(s):  
Heather Murdock ◽  
Karin de Bruijn ◽  
Berry Gersonius
Keyword(s):  
Response Curve ◽  
Critical Infrastructure ◽  
Transportation Networks ◽  
Population Data ◽  
Flood Modelling ◽  
Infrastructure Resilience ◽  
Resilience Indicators ◽  
The City ◽  
Over Time

Following a flood the functioning of critical infrastructure (CI), such as power and transportation networks, plays an important role in recovery and the resilience of the city. Previous research investigated resilience indicators, however, there is no method in the literature to quantify the resilience of CI to flooding specifically or to quantify the effect of measures. This new method to quantify CI resilience to flooding proposes an expected annual disruption (EADIS) metric and curve of disruption versus likelihood. The units used for the EADIS metric for disruption are in terms of people affected over time (person × days). Using flood modelling outputs, spatial infrastructure, and population data as inputs, this metric is used to benchmark CI resilience to flooding and test the improvement with resilience enhancing measures. These measures are focused on the resilience aspects robustness, redundancy and flexibility. Relative improvements in resilience were quantified for a case study area in Toronto, Canada and it was found that redundancy, flexibility, and robustness measures resulted in 44, 30, and 48% reductions in EADIS respectively. While there are limitations, results suggest that this method can effectively quantify CI resilience to flooding and quantify relative improvements with resilience enhancing measures for cities.

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