A Simulation Framework to Analyse Dependent Weather-Induced Faults
A Simulation Framework to Analyse Dependent Weather-Induced Faults
- Author(s): M. Jamieson ; G. Strbac ; S. Tindemans ; K. Bell
- DOI: 10.1049/cp.2017.0346
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- Author(s): M. Jamieson ; G. Strbac ; S. Tindemans ; K. Bell Source: IET International Conference on Resilience of Transmission and Distribution Networks (RTDN 2017), 2017 page ()
- Conference: IET International Conference on Resilience of Transmission and Distribution Networks (RTDN 2017)
- DOI: 10.1049/cp.2017.0346
- ISBN: 978-1-78561-662-4
- Location: Birmingham, UK
- Conference date: 26-28 Sept. 2017
- Format: PDF
A framework for simulating weather-induced dependent faults across networks is proposed and demonstrated on a truncated GB network representative of the Scottish and Northern English network. Different weather scenarios are simulated on the test network considering location and wind-speed intensity, analysed using Monte-Carlo simulation. The sensitivity of the network to co-occurrence of faults is simulated by changing the sensitivity of network assets to wind speed via an exponential function. Greater sensitivity to wind speed induces a significant increase in outages, as reflected by risk metrics, specifically Expected Energy Not Served and Expected Maximum Load Shed.
Inspec keywords: power system reliability; power system faults; climate mitigation; Monte Carlo methods
Subjects: Reliability; Monte Carlo methods; Power systems
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