Integrated power management and nonlinear-control for hybrid renewable microgrid

Muhammad Maaruf*, Khalid A. Khan, Muhammad Khalid

*Corresponding author for this work

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

14 Scopus citations

Abstract

The introduction of variability with the integration of renewable energy sources in the generation-side of the power network degrades the power quality of the supplied power. With the increased demand of renewable energy integration in the electricity network the concept of microgrid provides significant controllability and mitigation of system variations. This paper presents a simultaneous power management and control scheme for a hybrid renewable microgrid consisting of solar PV system, permanent magnet synchronous generator (PMSG) driven by wind turbine, and battery energy storage system. The PV system is connected directly to the DC-link, thus lowering losses and cost by eliminating the redundant DC/DC boost converter. Moreover, maximum power point tracking (MPPT) algorithms are utilized to extract the maximum power from each renewable energy source. A sliding mode control technique is designed to improve the robust performance of the system and ensure efficient energy management irrespective of system disturbances, load fluctuations, transience of irradiance, and variation of wind speed. The proposed optimization framework is tested and validated on an AC microgrid system proving its efficacy.

Original languageEnglish
Title of host publicationProceedings - 2021 13th Annual IEEE Green Technologies Conference, GREENTECH 2021
PublisherIEEE Computer Society
Pages176-180
Number of pages5
ISBN (Electronic)9781728191393
DOIs
StatePublished - Apr 2021

Publication series

NameIEEE Green Technologies Conference
Volume2021-April
ISSN (Electronic)2166-5478

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Energy storage systems
  • Hybrid solar-wind system
  • Microgrid modelling
  • Nonlinear control
  • Optimized power management

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Ecological Modeling
  • Environmental Engineering

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