Abstract
Generally, the more Renewable Energy Sources (RES) in generation mix the more complex is the problem of reliability assessment of generating systems, mainly because of the variability and uncertainty of generating capacity. These short-term concerns have been seen as a way of controlling the amount of spinning reserve, providing operators with information on operation system risks. For the medium and long-term assessment, such short-term concerns should be accounted for the system performance [1,2], assuring that investment options will result in more robust and flexible generating configurations that are consequently more secure. In order to deal with the spinning reserve needs, this work proposes the use of a risk based technique, Value-at-Risk and Conditional Value-at-Risk, to assist the planners of the Electric Power Systems (EPS) as regards the design of the flexibility of generating systems. This methodology was applied in the IEEE-RTS-96 HW producing adequate results.
Original language | English |
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Title of host publication | 2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509019700 |
DOIs | |
Publication status | Published - 1 Dec 2016 |
Externally published | Yes |
Event | 2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016 - Beijing, China Duration: 16 Oct 2016 → 20 Oct 2016 |
Publication series
Name | 2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016 - Proceedings |
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Conference
Conference | 2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016 |
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Country/Territory | China |
City | Beijing |
Period | 16/10/16 → 20/10/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Generating Systems
- Operational Reserve
- Reliability Analysis