Abstract
Extreme weather events or more in general changing environmental conditions (for instance due to climate change) might have significant impacts on future power systems, threatening their resilient operation. In this context, this paper provides a quantitative analysis of the temperature and water availability effects on power system resilience. Differently from most existing work that only addresses the impact on individual power plants and independently of the context, a system level assessment is conducted here through a time-series model that specifically considers the temperature sensitivity and the impact of water availability on the cooling systems of all conventional thermal power plants, as well as the temperature sensitivity of line capacities and of electrical demand throughout the network. Sequential Monte Carlo Simulation (SMCS) is used to capture the stochastic impacts of such phenomena and derive relevant impact metrics. The model is demonstrated on a 29-bus reduced representation of the Great Britain (GB) transmission network. Several future scenarios for future generation and demand are formulated with different corresponding weather parameter. The results help recognize the vulnerability and resilience of future GB power systems to extreme weather events under different conditions.
Original language | English |
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Title of host publication | 2016 IEEE International Conference on Power System Technology, POWERCON 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781467388481 |
DOIs | |
Publication status | Published - 22 Nov 2016 |
Event | 2016 IEEE International Conference on Power System Technology, POWERCON 2016 - Wollongong, Australia Duration: 28 Sept 2016 → 1 Oct 2016 |
Other
Other | 2016 IEEE International Conference on Power System Technology, POWERCON 2016 |
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Country/Territory | Australia |
City | Wollongong |
Period | 28/09/16 → 1/10/16 |
Keywords
- cooling systems
- dynamic line rating
- extreme weather
- power systems
- resilience
- temperature effect