The value of wind generation temporal correlation information for SBS-UC

Author

Fang Chen ; Ming Yang ; Jianxiang Li ; Haibo Liu

Author_Institution

Sch. of Electr. Eng., Jinan Univ., Jinan, China

fYear

2013

fDate

17-19 April 2013

Firstpage

535

Lastpage

539

Abstract

Scenario-based stochastic unit commitment (SBS-UC) algorithm is an effective approach to solve unit commitment problem considering wind power integration. The results of SBS-UC have a close relation with the formation mode of scenario set. So, how to construct a reasonable scenario set is a key problem for SBS-UC. In this paper, using the same SBS-UC model, the scheduling results of two different scenario sets are compared. Test scenario set 1 is obtained according to the forecasted probability distribution of each period, without considering the time-domain correlation information of wind farm generation. Accordingly, test scenario set 2 contains time-domain correlation information of wind farm generation through estimating the correlation coefficient matrix. This paper compares the scheduling results and emphasizes the important role of time-domain correlation information of wind farm generation for unit commitment considering wind power integration.

Keywords

correlation methods; information theory; matrix algebra; power generation scheduling; probability; time-domain analysis; wind power plants; SBS-UC; correlation coefficient matrix; probability distribution; scenario-based stochastic unit commitment; scheduling; time-domain correlation information; wind farm generation; wind generation temporal correlation information; wind power integration; Indexes; Springs; Joint probability density forecast; Power system; Scenario set; Unit commitment; Wind power;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON Spring Conference, 2013 IEEE

Conference_Location

Sydney, NSW

Print_ISBN

978-1-4673-6347-1

Type

conf

DOI

10.1109/TENCONSpring.2013.6584502

Filename

6584502