Activities per year
Abstract
During high wind speed shutdown (HWSS) events, the power outputs of wind power plants may be subject to high ramp rates, causing issues for the System Operator (SO) in predicting total wind output, allocating adequate reserve levels and minimising balancing costs. As the timing of these events is difficult to predict, it is proposed that individual turbines may be used as probabilistic early warning indicators of HWSS events across sites, and by extension to a wide geographical area. The shut-down history of two separate wind farms across Scotland is analysed to determine the likelihood and impact of such events. It is shown that in most cases, HWSS does not result in the full loss of availability. Factors such as turbine elevation and mean wind exposure are key indicators of the order of shut-down across a site. The suggestion that sites could be used as early warning indicators for the pattern of HWSS across a transmission zone is difficult to characterise and for the two wind farms studied, prediction was not consistent.
Original language | English |
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Title of host publication | 2014 International Conference on Probabilistic Methods Applied to Power Systems |
Subtitle of host publication | PMAPS 2014 - Conference Proceedings |
Publisher | IEEE |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Print) | 9781479935611 |
DOIs | |
Publication status | Published - 1 Jul 2014 |
Event | 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 - Durham, United Kingdom Duration: 7 Jul 2014 → 10 Jul 2014 https://www.dur.ac.uk/dei/events/pmaps2014/ |
Conference
Conference | 2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014 |
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Abbreviated title | PMAPS 2014 |
Country/Territory | United Kingdom |
City | Durham |
Period | 7/07/14 → 10/07/14 |
Internet address |
Keywords
- high wind speed shutdown
- HWSS
- wind farms
- turbine elevation
- wind exposure
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Dive into the research topics of 'Analysis of wide-area availability of wind generators during storm events'. Together they form a unique fingerprint.Activities
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2014 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2014
Macdonald, H. (Participant)
10 Jul 2014Activity: Participating in or organising an event types › Participation in conference