A framework for risk-informed decision support in electricity distribution companies utilizing input from quantitative risk assessment |
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| Affiliation: | 1. School of Mechanical and Electrical Engineering, Hainan University, Haikou, China;2. Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China;1. College of Shipbuilding Engineering, Harbin Engineering University, Harbin, China;2. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China;1. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (Beijing), Beijing, 100083, China;2. Faculty of Resources & Safety Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China;3. Tianjin Fire Research Institute of MPS, Tianjin, 300381, China |
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| Abstract: | Electricity distribution companies are to an increasing extent using risk assessment methods in their asset management practices. This paper presents an overall framework for risk-informed decision sup-port where simplified risk analysis methods are used for initial risk assessment, and quantitative risk analysis methods are used to perform more in-depth studies for selected problems. Quantitative risk assessment methods are far more laborious compared to simplified analyses, so it is important that such analyses are performed only to a limited number of risk problems. |
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