dc.contributor.author |
Loukarakis, E |
en |
dc.date.accessioned |
2014-03-01T02:47:27Z |
|
dc.date.available |
2014-03-01T02:47:27Z |
|
dc.date.issued |
2011 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/33155 |
|
dc.subject |
frequency response |
en |
dc.subject |
Monte-Carlo simulation |
en |
dc.subject |
spinning reserve |
en |
dc.subject |
wind power integration |
en |
dc.subject |
wind turbines |
en |
dc.subject.other |
Comprehensive evaluation |
en |
dc.subject.other |
General approach |
en |
dc.subject.other |
MONTE CARLO |
en |
dc.subject.other |
Monte Carlo Simulation |
en |
dc.subject.other |
Probabilistic assessments |
en |
dc.subject.other |
Renewable energies |
en |
dc.subject.other |
Small systems |
en |
dc.subject.other |
spinning reserve |
en |
dc.subject.other |
Support method |
en |
dc.subject.other |
System behaviors |
en |
dc.subject.other |
Wind generation |
en |
dc.subject.other |
Wind penetration levels |
en |
dc.subject.other |
wind power integration |
en |
dc.subject.other |
Worst case scenario |
en |
dc.subject.other |
Dynamic response |
en |
dc.subject.other |
Sustainable development |
en |
dc.subject.other |
Wind power |
en |
dc.subject.other |
Wind turbines |
en |
dc.subject.other |
Frequency response |
en |
dc.title |
Probabilistic assessment of wind generation effects on primary frequency response |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/PTC.2011.6019455 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/PTC.2011.6019455 |
en |
heal.identifier.secondary |
6019455 |
en |
heal.publicationDate |
2011 |
en |
heal.abstract |
In modern power systems wind is one of the main sources of renewable energy. This is especially true in the case of small systems where frequency issues are often observed. Due to this fact, limits are imposed on the maximum allowable wind penetration level, commonly based on a worst case scenario approach. This however does not give a complete picture of the overall system behavior. This paper proposes a more general approach. A Monte Carlo process is used and suitable indices are introduced in order to provide a comprehensive evaluation of the system dynamic response. Special attention is given on wind generation frequency support methods. © 2011 IEEE. |
en |
heal.journalName |
2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011 |
en |
dc.identifier.doi |
10.1109/PTC.2011.6019455 |
en |