a power smoothing control strategy and optimized allocation of battery capacity based on hybrid storage energy technology功率平滑控制策略和优化配置基于混合动力车的电池容量存储能源技术.pdfVIP

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a power smoothing control strategy and optimized allocation of battery capacity based on hybrid storage energy technology功率平滑控制策略和优化配置基于混合动力车的电池容量存储能源技术.pdf

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a power smoothing control strategy and optimized allocation of battery capacity based on hybrid storage energy technology功率平滑控制策略和优化配置基于混合动力车的电池容量存储能源技术

Energies 2012, 5, 1593-1612; doi:10.3390/en5051593 OPEN ACCESS energies ISSN 1996-1073 /journal/energies Article A Power Smoothing Control Strategy and Optimized Allocation of Battery Capacity Based on Hybrid Storage Energy Technology Xiaojuan Han 1,*, Fang Chen 1, Xiwang Cui 1, Yong Li 1 and Xiangjun Li 2 1 School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; E-Mails: cf4864336@163.com (C.F.); cuixiwang2010@126.com (X.C.); 8869134@163.com (Y.L.) 2 Institute of Electrical Engineering, China Electric Power Research Institute, Beijing 100085, China; E-Mail: li_xiangjun@126.com * Author to whom correspondence should be addressed; E-Mail: wmhxj@163.com; Tel.: +86 Fax: +86-10 Received: 19 November 2011; in revised form: 12 April 2012 / Accepted: 3 May 2012 / Published: 21 May 2012 Abstract: Wind power parallel operation is an effective way to realize the large scale use of wind power, but the fluctuations of power output from wind power units may have great influence on power quality, hence a new method of power smoothing and capacity optimized allocation based on hybrid energy storage technology is proposed in terms of the uncontrollable and unexpected characteristics of wind speed in wind farms. First, power smoothing based on a traditional Inertial Filter is introduced and the relationship between the time constant, its smoothing effect and capacity allocation are analyzed and combined with P