Congestion Risk-Averse Stochastic Unit Commitment with Transmission Reserves in Wind-Thermal Power Systems

Applied Sciences

Guang Lin¹  Yu Huang²  Qingshan Xu² 

[1] Department of Mathematics, Purdue University, West Lafayette, IN 47907, USA;School of Electrical Engineering, Southeast University, Nanjing 210096, China;

关键词: stochastic programming;    unit commitment;    transmission reserves;    wind power forecast;    real-time dispatch;    uncertainty quantification;   

DOI  :  10.3390/app8101726

来源: DOAJ

【 摘 要 】

The great proliferation of wind power generation has brought about great challenges to power system operations. To mitigate the ramifications of wind power uncertainty on operational reliability, predictive scheduling of generation and transmission resources is required in the day-ahead and real-time markets. In this regard, this paper presents a risk-averse stochastic unit commitment model that incorporates transmission reserves to flexibly manage uncertainty-induced congestion. In this two-settlement market framework, the key statistical features of line flows are extracted using a high-dimensional probabilistic collocation method in the real-time dispatch, for which the spatial correlation between wind farms is also considered. These features are then used to quantify transmission reserve requirements in the transmission constraints at the day-ahead stage. Comparative studies on the IEEE 57-bus system demonstrate that the proposed method outperforms the conventional unit commitment (UC) to enhance the system reliability with wind power integration while leading to more cost-effective operations.

【 授权许可】

Unknown