A bidirectional DC-DC converters for photovoltaic generation energy storage system

Yili Wei, Chao Zhang, Gang Dou, Yiqi Song, Mengchang Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Photovoltaic energy storage system meets the ever-growing demand for electricity, while ensuring the stability of power supply. Research of renewable energy-based microgrid system has become a hot topic, especially the study of Maximum Power Point Tracking (MPPT) and energy storage unit control strategies. This paper proposes an MPPT technique that combines gradient step size with conductance increment method, in order to achieve fast maximum power tracking and to avoid shock and error at the Maximum Power Point (MPP). On the basis of small signal model, bidirectional Buck/Boost converter and full bridge converter are designed to form the inner current loop and the outer voltage loop of battery charging/discharging controller under different control strategies, so as to realize the bidirectional flow of energy. A simulation model of energy storage unit is built in MATLAB/Simulink environment, and the simulation results verify the effectiveness of the control strategy.

Original languageEnglish
Title of host publicationProceedings - 2017 Chinese Automation Congress, CAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538635247
Publication statusPublished - Dec 29 2017
Externally publishedYes
Event2017 Chinese Automation Congress, CAC 2017 - Jinan, China
Duration: Oct 20 2017Oct 22 2017

Publication series

NameProceedings - 2017 Chinese Automation Congress, CAC 2017


Conference2017 Chinese Automation Congress, CAC 2017


  • Bidirectional DC-DC converter
  • Double closed loop control
  • Maximum Power Point Tracking
  • Photovoltaic energy storage system

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Modelling and Simulation
  • Computer Science Applications


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