Control Strategy of PV-Hybrid Energy Storage Device Based on Household Load

  • Shu Tian
  • Shiyuan FengEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 528)


In order to improve the stability and economy of roof photovoltaic system. The frequency distribution of photovoltaic power can be obtained by using Hilbert-Huang transform (HHT), and a boundary frequency algorithm is proposed to determine the frequency of photovoltaic power generation. Then, the roof photovoltaic-hybrid energy storage control model based on household load is constructed, and the model is solved by LINGO software. Data analysis and comparison show that under the condition of full life cycle and real time price of photovoltaic power generation, user economy is superior to that of fixed price condition. The effectiveness of the proposed model coordination control strategy is verified by the user’s economy.


Photovoltaic power generation Maximum power point tracking Hybrid energy storage Capacity configuration Energy management Control strategy 


  1. 1.
    Y. Sun, X. Tang, X. Sun, Research on multi-type energy storage coordination control strategy based on MPC-HHT, in Proceedings of the CSEE (2017), pp.1–9Google Scholar
  2. 2.
    G. Qiu, C. Zhang, Z. Zhong, MPPT analysis of photovoltaic power generation system based on P&Q and IC method. Electric Power 50(03), 154–160 (2017)Google Scholar
  3. 3.
    D. Zhang, H. Yang, Analysis of signal spectrum and realization based on MATLAB. J. Hunan Inst. Sci. Technol. 23(03), 29–33 (2010)Google Scholar
  4. 4.
    W. Hao, Y. Li, Economic study of household load scheduling of a smart home with photovoltaic system under different pricing mechanisms. Power Syst. Prot. Control 45(17), 34–42 (2017)Google Scholar
  5. 5.
    X. He, Y. Yang, R. Feng, Characteristics of photovoltaic cells and maximum power point tracking. Ind. Control Comput. 30(09), 143–145 (2017)Google Scholar
  6. 6.
    L. Chen, P. Hu, G. Lu, P. Liu, Mechanism analysis and simulation study of MPPT based on improved incremental conductance method. Smart Grid 5(02), 172–177 (2017)Google Scholar
  7. 7.
    M. Wang, The Probabilistic Modeling of Distributed Generation and Its Influences on Power Systems (HeFei University of Technology, 2010)Google Scholar
  8. 8.
    Y. Zhang, HHT analysis of blasting vibration and its application. Proc. CSU-EPSA 25(05), 60–64 (2013)Google Scholar
  9. 9.
    P. Li, K. Duan, Y. Dong, Energy management strategy of photovoltaic DC microgrid with distributed hybrid energy storage system. Power Syst. Prot. Control 45(13), 42–48 (2017)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Electrical Engineering and AutomationHenan Polytechnic UniversityHenan JiaozuoChina

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