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Restraining Strategy of Photovoltaic Power Fluctuation Based on Hybrid Energy Storage System

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Advanced Machine Learning Technologies and Applications (AMLTA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1339))

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Abstract

Because of the influence of the external environment, such as solar radiation and temperature, photovoltaic grid-connected power generation system can’t export power continuously and stably. Combined with advantages of battery and super capacitor, a hybrid energy storage system is constituted, which could smooth the grid-connected power relatively. In this paper, the structure of a hybrid energy storage system composed by super capacitor and battery is studied, control strategy and PID setting of hybrid energy storage system are proposed. Simulation model is put forward based on MATLAB, simulation results show that the hybrid energy storage system can level off photovoltaic power, the maximum power fluctuation is less than 5%. Therefore, it shows that the structure of hybrid energy storage system and the control strategy are reasonable and feasible.

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Acknowledgment

This work is partially supported by grants from Jiangsu Collaborative Innovation Center for Cultural Creativity (XYN1914), Jiangsu production-academy-research project (BY2019070), Jiangsu construction system technology project (2016ZD85), Changzhou Institute of Technology Research Fund (YN1732).

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Correspondence to Jihe Cai .

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Cai, J., Di, Y., Liu, M. (2021). Restraining Strategy of Photovoltaic Power Fluctuation Based on Hybrid Energy Storage System. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_103

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