Robust transmission constrained unit commitment under wind power uncertainty with adjustable conservatism

被引:5
|
作者
Tian, Yuan [1 ]
Wu, Wei [2 ]
Wang, Keyou [1 ]
Fu, Yong [3 ]
Li, Guojie [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Key Lab Control Power Transmiss & Convers, Shanghai 200240, Peoples R China
[2] State Grid Jiangsu Econ Res Inst, Nanjing 210008, Jiangsu, Peoples R China
[3] Mississippi State Univ, Dept Elect & Comp Engn, Mississippi State, MS 39762 USA
基金
中国国家自然科学基金;
关键词
power system security; power generation dispatch; wind power plants; probability; power generation scheduling; robust transmission constrained unit commitment; wind power uncertainty; adjustable conservatism; novel robust transmission-constrained unit commitment model; RAC-TCUC; ellipsoidal uncertainty; spatial-temporal correlated wind power; affine policy; computational tractability; budget value selection; crucial addressed issue; yet barely addressed issue; prescribed EUS; GENERATION; OPTIMIZATION; LOAD;
D O I
10.1049/iet-gtd.2019.1361
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study proposes a novel robust transmission-constrained unit commitment model with adjustable conservatism (denoted as RAC-TCUC). Ellipsoidal uncertainty set (EUS) is adopted in this model to well fit the spatial-temporal correlated wind power. The affine policy is utilised in the generation dispatch process of the model for the sake of computational tractability. To reduce the conservatism, a novel criterion for budget value selection of the EUS is presented. Moreover, this study discusses a crucial, yet barely addressed issue in the literature: the feasibility of the solution against the realisation of uncertainties beyond the prescribed EUS. To prove the validity of the criterion, an analytical relationship between the budget value of the EUS and the actual probability of solution's feasibility against all possible scenarios of uncertainties is presented. Finally, the testing results demonstrate the effectiveness and economic benefits of the proposed method.
引用
收藏
页码:824 / 832
页数:9
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