Abstract

This research proposes a new optimization method, 'Turbulent Flow of Water-Based Optimization (TWFO),' for Dynamic Optimal Power Flow (DOPF) solutions. The objective function in this research is the minimum cost of thermal generation. During operation, optimization must be adapted to network constraints (bus voltage, generator ramp rate, and network capacity). This research will use the IEEE 30 bus to integrate with PV and BMS. The total power produced by PV and BMS will reduce the power that must be generated by the thermal generator to serve the installed load, which will then be optimized using the dynamic optimal power flow (DOPF) method. System IEEE 30 bus with three cases of OPF (base case, PV integration case, and PV and BMS integration case) was used to validate the performance of TWFO. Apart from that, checks were also carried out with the comparison algorithm (GA). From these three cases, it is proven that TWFO has better performance than GA.

Original languageEnglish
Title of host publicationInternational Conference on Artificial Intelligence and Mechatronics System, AIMS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350350524
DOIs
Publication statusPublished - 2024
Event2024 International Conference on Artificial Intelligence and Mechatronics System, AIMS 2024 - Virtual, Online, Indonesia
Duration: 22 Feb 202423 Feb 2024

Publication series

NameInternational Conference on Artificial Intelligence and Mechatronics System, AIMS 2024

Conference

Conference2024 International Conference on Artificial Intelligence and Mechatronics System, AIMS 2024
Country/TerritoryIndonesia
CityVirtual, Online
Period22/02/2423/02/24

Keywords

  • Batteries Management Systems (BMS)
  • GA
  • TFWO
  • dynamic optimal power flow (DOPF)
  • photovoltaic

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