Analysis of Frequency Stability in Low Inertia Power Systems Using EV Charging Battery

Dede Syahputra, Herlambang Setiadi, Agus Mukhlisin, Maulana Iqwan Habibi

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

Abstract

Modern energy systems supported by renewable energy often have low inertia, which can lead to frequency fluctuations and instability in the power system. On the other hand, there has been significant progress in electric vehicle (EV) technology development. Therefore, a battery technology for charging electric vehicles is proposed to assist the power system in improving frequency stability. This EV charging battery technology works by controlling the charging rate of EV batteries during load fluctuations and frequency fluctuations in the power system. The purpose of this research is to analyze the use of EV charging batteries in enhancing frequency stability in an interconnected power system of two areas after disturbances such as load changes and the addition of renewable energy-based generators such as solar and wind power plants. This research is conducted using MATLAB Simulink modeling.

Original languageEnglish
Title of host publication2024 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publicationCollaborative Innovation: A Bridging from Academia to Industry towards Sustainable Strategic Partnership, ISITIA 2024 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages542-547
Number of pages6
Edition2024
ISBN (Electronic)9798350378573
DOIs
Publication statusPublished - 2024
Event25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024 - Hybrid, Mataram, Indonesia
Duration: 10 Jul 202412 Jul 2024

Conference

Conference25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024
Country/TerritoryIndonesia
CityHybrid, Mataram
Period10/07/2412/07/24

Keywords

  • EV charging battery
  • Frequency response
  • Frequency stability
  • Matlab simulink
  • Renewable energy

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