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A novel fuzzy logic controller for smart load voltage regulation

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

12 Scopus citations

Abstract

Electric spring (ES) is a novel smart grid technology, which is based on power electronic components. It has multitude of benefits associated with its widespread use at distribution level, which includes voltage profile enhancement, power imbalance mitigation, and power quality improvement. With the ever increasing need of incorporating intermittent renewable energy sources (RES), electric spring offers a viable solution to the problems linked with such energy sources. A new generation of electrical loads is also recently proposed, known as smart loads, which is the outcome of integrating electric spring in series with a non-critical load. This work proposes a novel control scheme for electric spring based on fuzzy logic to regulate mains voltage. Simulations are carried out for ES based on conventional PI controller, fuzzy logic controller, and adaptive fuzzy PI and their results are analytically compared.

Original languageEnglish
Title of host publication2017 6th International Conference on Clean Electrical Power
Subtitle of host publicationRenewable Energy Resources Impact, ICCEP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages620-624
Number of pages5
ISBN (Electronic)9781509046829
DOIs
StatePublished - 8 Aug 2017

Publication series

Name2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Electric spring
  • adaptive PI
  • fuzzy logic controller
  • renewable energy
  • smart load
  • voltage regulation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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