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...

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Vydáno v:2010 Conference Proceedings IPEC s. 116 - 121
Hlavní autoři: Rong Ye, Haoyong Chen, Pan Chen
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2010
Témata:
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
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Abstract 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.
AbstractList 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.
Author Rong Ye
Haoyong Chen
Pan Chen
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  surname: Haoyong Chen
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  surname: Pan Chen
  fullname: Pan Chen
  email: panpan06101985@yahoo.com.cn
  organization: Sch. of Electr. Eng., South China Univ. of Technol., Guangzhou, China
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Snippet Wind power generation brings new challenges to Security-Constrained Unit Commitment and Security-Constrained Economic Dispatch due to the uncertainty caused by...
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StartPage 116
SubjectTerms 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
Title Security constrained unit commitment with multiple wind farms integrated
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