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Hybrid Energy Storage System for Voltage Stability in a DC Microgrid Using a Modified Control Strategy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

In renewable based DC microgrids, energy storage devices are implemented to compensate for the generation-load power mismatch. Usually, Battery Energy Storage Systems (BESS) are used, but they cannot meet the transient load demand due to low power density leading to voltage fluctuations. For this reason, Supercapacitor Storage Systems (SCSS) are used. In this respect the controller used for regulating the power electronic interface must respond quickly to feed the power from SCSS to the grid. In this paper, a decoupled controller for both BESS and SCSS are designed based on k-type compensators and Lagrange Interpolation (LI) based controllers are designed for BESS and SCSS controllers respectively. As compared to conventional control strategies based on LPF/HPF - PI based controllers, the proposed control strategy possesses a faster response and ensures a reduced voltage fluctuation. Furthermore, the need for converter voltage and current sensing device is reduced and with the obviation of the LPF/HPF filters the complexity and processing time of the converter is reduced.

Original languageEnglish
Title of host publication2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2760-2765
Number of pages6
ISBN (Electronic)9781728135205
DOIs
StatePublished - May 2019

Publication series

Name2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Batteries
  • hybrid energy storage system
  • renewable DC microgrid
  • supercapacitors
  • voltage stability

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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