含压缩空气的微网复合储能系统主动控制策略

doi:10.19595/j.cnki.1000-6753.tces.160628

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Abstract This article discusses an active control strategy for composited energy storage system (CESS) with compressed air energy storage (CAES) in AC-DC hybrid micro-grid. Firstly, considering the requirements of accuracy and computing speed in engineering practice, a combined prediction method based on OP-ELM and SVR is applied to implement multi-time scale prediction for output power of distributed generation (DG). Accordingly, the day-ahead scheduling of CESS is schemed. Furthermore, the day-ahead scheduling of CESS is decomposed into several IMFs using empirical mode decomposition (EMD). Each IMF is analyzed by the theory of instantaneous frequency so that the objective function based on energy storage cycle life and SOC balance is built up. All IMFs are reorganized into three groups. Lastly, a real data based simulation validates the effectiveness of the proposed strategy. It is shown that this strategy can consider the power of DG and CESS as a whole and regulate its output power actively on the basis of optimizing the cycling life and the SOC balance of energy storage, thus effectively improving the energy utilization ratio as well as economic benefits.

Key words： Composite energy storage system active control combination prediction empirical mode decomposition compressed air energy storage (CAES)

Received: 30 May 2016 Published: 30 October 2017

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TM727

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	Yan Yi
	Zhang Chenghui
	Li Ke
	Tian Chongyi
	Wang Fan

Cite this article:

Yan Yi,Zhang Chenghui,Li Ke等. An Active Control Strategy for Composited Energy Storage with Compressed Air Energy Storage in Micro-Grid[J]. Transactions of China Electrotechnical Society, 2017, 32(20): 231-240.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.160628 OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I20/231

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