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Optimal Configuration Method of Distributed Hybrid Energy Storage Systems in Distribution Network with Large Scale of Wind Power Generation

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Book cover Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 585))

Abstract

To promote the coordinated development between distributed wind generation and distribution network, and to improve the absorptive capacity of wind generation, a hybrid energy storage system allocated in the distribution network is put forward, which is composed by battery and small-scale compressed air energy storage system. And the optimal configuration method is discussed. The battery is used to mitigate the wind power output fluctuation thanks to its quick response capacity, and the small-scale compressed air energy storage system is used for peak regulation thanks to its flexible allocation and large energy density. The operational principle of the hybrid energy storage system is discussed, and the peak load regulation method of the small-scale compressed air energy storage system is presented. Based on the research of the allocation of hybrid energy storage system, the capacity optimization and the optimal operation, the optimal configuration method of the hybrid energy storage system is discussed. The proposed model and the method are verified on the modified distribution network, and the results prove the effectiveness and flexibility of the model.

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Acknowledgements

This work was supported in part by the Youth Promotion Fund “The design of checking and statistical analysis system for power grid Equipment based on data mining technology”.

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Correspondence to Tianmeng Yang .

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Yang, T., Han, Z., Gao, J. (2020). Optimal Configuration Method of Distributed Hybrid Energy Storage Systems in Distribution Network with Large Scale of Wind Power Generation. In: Xue, Y., Zheng, Y., Rahman, S. (eds) Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control. Lecture Notes in Electrical Engineering, vol 585. Springer, Singapore. https://doi.org/10.1007/978-981-13-9783-7_24

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  • DOI: https://doi.org/10.1007/978-981-13-9783-7_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9782-0

  • Online ISBN: 978-981-13-9783-7

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