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Design of Wind Turbine Battery Charging Control a Buck-Boost Converter with PID Control Optimized by Ant Colony Optimization

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

Abstract

This research proposes a voltage control strategy for battery voltage in wind turbine battery charging systems. Changes in wind speed in wind turbine systems can cause the generated voltage to be non-optimal, which in turn can affect the life of the battery. A buck-boost DC-DC converter can be used to regulate the battery charging mode. This converter is controlled by PID to keep the battery voltage constant. In this study, the PID parameters are optimized using Ant Colony Optimization (ACO) to achieve optimal control. This study will use a comparison of 2 methods, viz: System using PID tuning control method and system controlled by PID with Ant Colony Optimization. The results obtained in this study are the battery voltage generated by the PID tuning system of 51.87 V and the battery voltage generated by the ACO system of 51.95 V. While the battery SOC generated by the tuning system is 50.02 and the SOC generated by the ACO system is 50.12, The time required for the tuning system is 0.53 and the time required for the ACO system is 0.42. It can be seen that the ACO system is better and more efficient than the tuning system. This research was designed using MATLAB/Simulink.

Original languageEnglish
Title of host publicationProceedings - 2024 12th Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages44-49
Number of pages6
ISBN (Electronic)9798350379914
DOIs
Publication statusPublished - 2024
Event12th Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2024 - Malang, Indonesia
Duration: 16 Oct 202418 Oct 2024

Publication series

NameProceedings - 2024 12th Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2024

Conference

Conference12th Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2024
Country/TerritoryIndonesia
CityMalang
Period16/10/2418/10/24

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

  • ant colony optimization
  • buck-boost converter
  • wind turbine

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