DocumentCode :
2055434
Title :
Robust optimization with box set for reactive power optimization in wind power integrated system
Author :
Yuwei Yang ; Renjun Zhou ; Xiaohong Ran
Author_Institution :
Power Eng., Changsha Univ. of Sci. & Technol., Changsha, China
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
6
Abstract :
The character of reactive power in wind power integrated system affects active power losses and voltage level of the entire system. For the influence from the randomness of wind speed to entire system power flow, a reactive power optimization model based on Robust Optimization (RO) is presented firstly. With minimizing power losses as an objective, the uncertainty of the wind speed is taken as a random variable and demonstrated in a "box" uncertainty set for transforming the uncertain constraints into the certain form. The duality theorem is utilized to simplify the model to be general linear programming ones. IEEE30-node system is used as an example to test the model and method. The results show that the random wind speed is quantitated effectively, power losses are reduced, and even the voltage of entire system can be restricted within regular range. The reactive power optimization method with RO is simple, feasible and significant.
Keywords :
linear programming; reactive power; wind power plants; IEEE 30-node system; active power loss; box set; box uncertainty set; duality theorem; linear programming; random variable; reactive power optimization model; robust optimization; voltage level; wind power integrated system; wind speed uncertainty; Mathematical model; Optimization; Reactive power; Uncertainty; Wind farms; Wind power generation; Wind speed; Robust Optimization (RO); box uncertainty set; duality theorem; power losses; reactive power optimization; the randomness of wind speed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6345174
Filename :
6345174
Link To Document :
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