Day-ahead unit commitment method considering time sequence feature of wind power forecast error

Chengfu Wang,Xijuan Li,Zhaoqing Wang,Xiaoming Dong,Zhengtang Liang,Xiaoyi Liu,Jun Liang,Xueshan Han

International Journal of Electrical Power & Energy Systems（2018）

引用 20|浏览5

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摘要

•A time sequence segment-fitting method of the forecast error is proposed to support UC decision.•A reserve decision method according to the PDFs of forecast error and characteristics of reserve is investigated.•A more flexible time-varying confidence levels setting method is presented.•A novel chance-constrained UC model combined with TSFM and reserve classification is established.

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关键词

Chance-constrained programming,Forecast error,Non-parametric,Time sequence segment fit,Time varying confidence level,Unit commitment,Wind power

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