A heuristic algorithm for maximum LOLP constrained unit commitment of wind power integrated system

Author(s):  
X. X. Meng ◽  
X. S. Bai ◽  
B. Yang ◽  
F. L. Cheng ◽  
M. Yang
2012 ◽  
Vol 512-515 ◽  
pp. 700-703
Author(s):  
Kui Wang ◽  
Bu Han Zhang ◽  
Jia Jun Zhai ◽  
Wen Shao ◽  
Xiao Shan Wu ◽  
...  

Coordination strategies between short-term (e.g., weekly and daily scheduling ) and real-time scheduling in wind power integrated system are disscussed. To cope with the uncertainty of wind power and load demands, weekly and daily rolling schedulings are applied. According to the latest updated prediction results of wind power and load demands, weekly rolling scheduling is applied to revise unit commitment and fuel allocation in remaining hours in a week. Daily rolling scheduling is applied to revise generation scheduling in remaining time in a day. A modified IEEE 118-bus system is applied to test the proposed approach.


Wind Energy ◽  
2015 ◽  
Vol 19 (5) ◽  
pp. 873-893 ◽  
Author(s):  
Didem Sari ◽  
Youngrok Lee ◽  
Sarah Ryan ◽  
David Woodruff

2013 ◽  
Vol 772 ◽  
pp. 705-710
Author(s):  
Li Wei Ju ◽  
Zhong Fu Tan ◽  
He Yin ◽  
Zhi Hong Chen

In order to be able to absorb the abandoned wind, increasing wind-connect amount, the paper study the way of wind power, thermal power joint run and puts forward wind power, thermal power joint run optimization model based on the energy-saving generation dispatching way under the environment of TOU price and the target of minimizing the cost of coal-fired cost, unit commitment and pollution emissions. The numerical example finds, the TOU price can realize the goal of peak load shifting, increasing the electricity demand in the low load and reducing electricity demand in the peak load. The model can increase the amount of wind-connect grid, absorb the abandoned wind, reduce the use of coal-fired units under the environment, increase the average electricity sales price and profit of Power Company. Therefore, the model has significant economical environmental benefits


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