Abstract

Different droop response characteristics in DC microgrid systems are impacted by inconsistent circuit parameters and line impedances. As a result, each converter's current division accuracy declines. DC voltage variation will result from the control response. For DC microgrids with many parallel sources, it's important to have defined controls in place to ensure system effectiveness and avoid overload. The Marine Predator Algorithm is used in this study to demonstrate droop control. This program mimics the behavior of marine predators. Particle swarm optimization is used to evaluate the performance of the suggested strategy by comparing the transient response. The load sharing case is used in this study's testing. Simulation testing is carried out using Matlab software. The MPA approach is known to have the best capability based on the simulation findings. When compared to the PSO approach, the MPA method is able to lower the voltage overshoot by 2.38%.

Original languageEnglish
Title of host publication2023 6th International Conference on Vocational Education and Electrical Engineering
Subtitle of host publicationIntegrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages60-65
Number of pages6
ISBN (Electronic)9798350326642
DOIs
Publication statusPublished - 2023
Event6th International Conference on Vocational Education and Electrical Engineering, ICVEE 2023 - Hybrid, Surabaya, Indonesia
Duration: 14 Oct 202315 Oct 2023

Publication series

Name2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding

Conference

Conference6th International Conference on Vocational Education and Electrical Engineering, ICVEE 2023
Country/TerritoryIndonesia
CityHybrid, Surabaya
Period14/10/2315/10/23

Keywords

  • Converter
  • DC Microgrid
  • Droop Control
  • Marine Predator Algorithm
  • Power Sharing

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