A novel wind power probabilistic forecasting approach based on joint quantile regression and multi-objective optimization

2020 ◽  
Vol 149 ◽  
pp. 141-164 ◽  
Author(s):  
Jianming Hu ◽  
Jingwei Tang ◽  
Yingying Lin
2017 ◽  
Vol 32 (4) ◽  
pp. 2767-2778 ◽  
Author(s):  
Can Wan ◽  
Jin Lin ◽  
Jianhui Wang ◽  
Yonghua Song ◽  
Zhao Yang Dong

2013 ◽  
Vol 860-863 ◽  
pp. 414-418
Author(s):  
Yan Qing Li ◽  
Hao Shan Li ◽  
Chi Dong ◽  
Jian Wang

Large-scale wind power integration constituted great challenges for the power system operation and dispatching, due to the volatile and peak-reversal nature of wind power.The multi-objective optimization model of the wind farm combined with pumped-storage was studied to solve the problem.An optimization model for wind-storage combined operation was established, aiming at tracking load changes ,improving wind power economic benefits and peak shaving benefits, using improved multi-objective particle swarm optimization.The optimization calculation attempted to reduce volatility of the remaining load after removal of wind-storage joint output and increase economic benefits of wind farrms. Through the optimization calculation the wind farm and storage plant scheduling values of each time are available. The calculation example shows that the model and method are conducive to large-scale wind power integration and have a certain practicality and effectiveness.


Energy ◽  
2017 ◽  
Vol 126 ◽  
pp. 810-820 ◽  
Author(s):  
Y.Z. Li ◽  
K.C. Li ◽  
P. Wang ◽  
Y. Liu ◽  
X.N. Lin ◽  
...  

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