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Power Smooth of a Hybrid PV-Wind Microgrid Using a Hybrid Energy-storage System with a Designed Adaptive Fuzzy Logic Controller

  • Li Wang
  • , Zhi Hong Huang
  • , Jui Tse Lai
  • , Rui Xuan Wu
  • , Ching Chuan Tseng

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

Abstract

This paper designs an adaptive fuzzy logic controller (AFLC)for power management of a hybrid energy-storage system (HESS) containing a vanadium redox flow battery (VRFB) and a supercapacitor (SC). The studied hybrid wind-PV microgrid (MG) is connected to the IEEE 14-bus multimachine system using optimal designed capacity of the proposed HESS. The main research includes the design of an AFLC for the HESS and the design of the optimal capacity for the HESS. A probability approach is used to determine the rated power and capacity of the HESS, while an AFLC for power distribution of the HESS is designed to effectively utilize individual ESS's characteristics. Different cases of the studied system are analyzed to investigate the effects of the selected capacity joined with the designed AFLC on smoothing power for the studied system.

Original languageEnglish
Title of host publicationProceedings - 2022 IET International Conference on Engineering Technologies and Applications, IET-ICETA 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665491389
DOIs
Publication statusPublished - 2022
Event2022 IET International Conference on Engineering Technologies and Applications, IET-ICETA 2022 - Changhua, Taiwan
Duration: 2022 Oct 142022 Oct 16

Publication series

NameProceedings - 2022 IET International Conference on Engineering Technologies and Applications, IET-ICETA 2022

Conference

Conference2022 IET International Conference on Engineering Technologies and Applications, IET-ICETA 2022
Country/TerritoryTaiwan
CityChanghua
Period22-10-1422-10-16

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

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering
  • Instrumentation
  • Transportation

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