Renewable Power Smoothing of a Hybrid System Utilizing Fuzzy Based Control of Battery Energy Storage

  • Sarah Abuouf*
  • , Muneera Alsaadoun
  • , Mohammad Khalid
  • *Corresponding author for this work

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

Abstract

Because of the fluctuating and intermittency characteristic of speed of wind and irradiation of solar, a hybrid system's output power consisting of wind and solar photovoltaic (PV) fluctuates. These changes degrade power quality, causing oscillations in grid voltage and frequency. Integrating battery energy storage systems with wind and PV systems is one technique for mitigating these issues. By smoothing the fluctuating output power, this hybrid system could provide a flexible energy management solution. This research presents a fuzzy logic control (FLC) strategy aimed at smoothing the fluctuating output power by constantly altering the battery's state of charge and the wind turbine's blade pitch angle. The method was tested for different battery initial charge states, showing that the proposed method significantly reduced power fluctuations. Therefore, it indirectly improves the quality of the output power from the unsteady wind and solar sources.

Original languageEnglish
Title of host publication2022 Saudi Arabia Smart Grid Conference, SASG 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665475891
DOIs
StatePublished - 2022
Event2022 Saudi Arabia Smart Grid Conference, SASG 2022 - Jeddah, Saudi Arabia
Duration: 12 Dec 202214 Dec 2022

Publication series

Name2022 Saudi Arabia Smart Grid Conference, SASG 2022

Conference

Conference2022 Saudi Arabia Smart Grid Conference, SASG 2022
Country/TerritorySaudi Arabia
CityJeddah
Period12/12/2214/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Fuzzy logic controller
  • Power fluctuation
  • battery energy storage
  • renewable power integration

ASJC Scopus subject areas

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

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