Abstract

Inconsistent circuit parameters and line impedances in DC microgrid impact various droop response characteristics. This causes the current sharing accuracy of each converter to decrease. A control response will cause DC voltage deviation. DC microgrids with multiple parallel-connected sources require well-established controls to maintain efficient system performance and prevent overloads. This study presents a droop control based on the Aquila optimization algorithm The AO duplicates the existence of Aquila birds in the realm while hunting prey. The performance of AO is comparing the transient response with conventional methods and particle swarm optimization. This study uses the case of load sharing and load changes for testing. Matlab software is used for simulation testing. From the simulation results, it was found that the AO method has the best ability. The AO is competent to alleviate the settling time by 0.7% compared to the conventional method and has better final power than the conventional method by 0.798%.

Original languageEnglish
Title of host publication2022 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publicationAdvanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages460-465
Number of pages6
ISBN (Electronic)9781665460811
DOIs
Publication statusPublished - 2022
Event23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022 - Virtual, Surabaya, Indonesia
Duration: 20 Jul 202221 Jul 2022

Publication series

Name2022 International Seminar on Intelligent Technology and Its Applications: Advanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding

Conference

Conference23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022
Country/TerritoryIndonesia
CityVirtual, Surabaya
Period20/07/2221/07/22

Keywords

  • Aquila Optimizer
  • Converter
  • DC Microgrid
  • Droop Control
  • Power Sharing

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