Data-Driven Stochastic Unit Commitment Optimization Considering Spatial Correlation of Wind Farms

2020 ◽  
Author(s):  
Guangrui Ye ◽  
Zhenshu Wang ◽  
Yongzhi Yan ◽  
Zhongqiang Li
Keyword(s):  
Spatial Correlation ◽  
Unit Commitment ◽  
Wind Farms ◽  
Data Driven ◽  
Stochastic Unit Commitment

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

2018 ◽  
Vol 8 (10) ◽  
pp. 1726 ◽  
Author(s):  
Yu Huang ◽  
Qingshan Xu ◽  
Guang Lin
Keyword(s):  
Power Systems ◽  
Real Time ◽  
Wind Power ◽  
Unit Commitment ◽  
Thermal Power ◽  
Wind Farms ◽  
Cost Effective ◽  
Operational Reliability ◽  
Risk Averse ◽  
Stochastic Unit Commitment

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.

scholarly journals Two-stage minimax stochastic unit commitment

2018 ◽  
Vol 12 (4) ◽  
pp. 947-956 ◽  
Author(s):  
Ping Che ◽  
Lixin Tang ◽  
Jianhui Wang
Keyword(s):  
Unit Commitment ◽  
Two Stage ◽  
Stochastic Unit Commitment
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