Security constrained unit commitment with multiple wind farms integrated

Wind power generation brings new challenges to Security-Constrained Unit Commitment and Security-Constrained Economic Dispatch due to the uncertainty caused by its imprecise prediction. Especially when multiple wind farms are taken into consideration, mixed integer programming method which is good a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:2010 Conference Proceedings IPEC S. 116 - 121
Hauptverfasser: Rong Ye, Haoyong Chen, Pan Chen
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.10.2010
Schlagworte:
Accuracy
Computational modeling
extreme scenario
generalized generation distribution factors
mixed integer programming method
Monte Carlo methods
multiple wind farms
Security-Constrained Unit Commitment
Uncertainty
Wind farms
Wind forecasting
Wind power generation
ISBN:9781424473991, 1424473993
ISSN:1947-1262
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Wind power generation brings new challenges to Security-Constrained Unit Commitment and Security-Constrained Economic Dispatch due to the uncertainty caused by its imprecise prediction. Especially when multiple wind farms are taken into consideration, mixed integer programming method which is good at dealing with deterministic SCUC problems doesn't work. This paper introduces generalized generation distribution factors and replaces the method based on monte carlo simulation with the one based on extreme scenarios set, in order to improve the method from the aspect of its computing time and precision. The modified IEEE118 bus system proves that the proposed method can acquire a unit commitment plan more quickly for better wind power uncertainty adaptability.
ISBN:9781424473991
1424473993
ISSN:1947-1262
DOI:10.1109/IPECON.2010.5697141