DocumentCode :
684274
Title :
Real-time wind power stabilization approach based on hybrid energy storage systems
Author :
Gao Chen ; Qiang Yang ; Ting Zhang ; Zhejing Bao ; Wenjun Yan
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
fYear :
2013
fDate :
19-21 Oct. 2013
Firstpage :
124
Lastpage :
129
Abstract :
In recent years, much research effort has been made aiming to alleviate and smooth the power fluctuation induced by the wind farm due to its intermittent nature. The integration of hybrid energy storage system (HESS) including battery energy storage system (BESS) and super-capacitors energy storage system (SCESS) has been considered one of the appropriate solutions to meet the technical challenge of power stabilization in power grid consisting of distributed renewable generations. In this paper, we presented a control strategy on managing the HESS to stabilize the power fluctuation in a real-time fashion without the need of predicting wind speed statistics. By the use of low-pass filter with varied time constants to obtain the power stabilization objective, the suggested approach is implemented by distributing the tasks of SCESS and BESS through the particle swarm optimization (PSO) algorithm. The proposed control strategy is assessed through a set of simulation experiments and the result demonstrates its the effectiveness in stabilizing the power fluctuation of wind farms.
Keywords :
particle swarm optimisation; power system stability; supercapacitors; wind power plants; BESS; HESS; PSO algorithm; SCESS; battery energy storage system; hybrid energy storage systems; low-pass filter; particle swarm optimization; power fluctuation stabilization; real-time wind power stabilization approach; super-capacitors energy storage system; wind farms; Computer aided software engineering; Educational institutions; Wind farms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2013 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-6341-9
Type :
conf
DOI :
10.1109/ICACI.2013.6748487
Filename :
6748487
Link To Document :
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