Hybrid Energy Storage for Wind Electric Power Systems

Hai Rong Lv; Hai Feng Wang; Feng Gao; Jun Hua Ma; Wen Jun Yin; Jin Dong; Jing Chen Wu

doi:10.4028/www.scientific.net/AMR.433-440.1380

Paper Titles

Thermodynamical Comparisons of Four Types of Regenerators in Cryocoolers
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Study of the Characteristics, Disaster and Prevention of Sandstorm in the Central and Western Regions of Inner Mongolia
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Ecological Environment Evaluation of Coal Mining Area Based on Cloud Model
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From Traditional Building to Modern Architecture a Study on Sustainable Development of Architecture Engineering
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Hybrid Energy Storage for Wind Electric Power Systems
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Edge Feature Extraction about Moth Digital Image in Agricultural Field
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The Development of Hydraulic Water Separator Used in Construction
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Research of Information Security Framework in Ubiquitous Environment
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Solar Energy, the Heat Collector Device Research and Application
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440Hybrid Energy Storage for Wind Electric Power...

Hybrid Energy Storage for Wind Electric Power Systems

Abstract:

As the renewable energy (wind energy, solar energy) being utilized more and more, there is strong demand for improvement on the policies of energy storage management. Several papers have shown that hybrid storage system is more efficient and economic than single storage system. In this paper, a policy based on the accurate prediction of wind speed in the near future is introduced and compared with state-of-charge (SOC) management approach and single storage system. The current simulation results demonstrate that the new policy proposed has a minor improvement on the set-up cost and the system performance over the state-of-charge policy.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

1380-1385

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.1380

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Online since:

January 2012

Authors:

Hai Rong Lv, Hai Feng Wang, Feng Gao, Jun Hua Ma, Wen Jun Yin, Jin Dong, Jing Chen Wu

Keywords:

Hybrid Storage, Neural Network (NN), Wind Energy, Wind Prediction

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