1 Faculty of Electrical and Electronics Engineering, UMPSA, Pekan, Pahang, Malaysia.
2 King Fahad University of Petroleum and Minerals, Dhahran, Saudi Arabia
3 TUBITAK Marmara Research Center, Polar Research Institute, 41470 Gebze/Kocaeli, Turkiye
4 Maritime Transportation and Management Engineering, Istanbul Technical University, 34490 I stanbul, Turkiye
International Journal of Science and Research Archive, 2026, 19(01), 359-382
Article DOI: 10.30574/ijsra.2026.19.1.0746
Received on 25 January 2026; revised on 07 April 2026; accepted on 09 April 2026
Transitioning from the fossil-gasoline energy era to renewable electricity generation and electricity garage in remote places has the capacity to reduce both carbon emissions and costs. A techno-monetary evaluation for the implementation of a hybrid renewable energy device on the South Pole in Antarctica at the Turkish Antarctica Research Station, which currently hosts several high-electricity physics experiments with nontrivial electricity demands. RFR embedded GWO gives iterations in terms of sizing, placement, allocations, and cost. The IEEE 30 bus radial system network reduces power line losses. A tailored model for using sun photovoltaics, wind turbine generators, lithium-ion electricity storage, and long-duration energy garage at this web page is explored in extraordinary combinations with and without traditional diesel energy generation. We find that the least-price machine consists of all 3 strength technology resources and lithium-ion power storage. For instance, regular-country load of one hundred seventy kW, this hybrid device reduces diesel intake by way of 95% compared to an all-diesel configuration. Over the direction of a 15-12 months analysis length, the reduced diesel usage results in a net savings of $57M, with a time to pay back of approximately years. All the eventualities modeled display that the transition to renewables is fairly price-effective under the specific economics and constraints of this extremely far-off site.
RFR Random Forest Regression; GWO Grey Wolf Optimizer; Li-ion Lithium-ion; IEEE Institutes of Electrical and Electronics Engineering
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Muhammad Fahad Shinwari, Muhamad Zahim bin Sujod, Norhafidzah binti Mohd Saad, Sheeraz Iqbal, Islam Ahmed and Burcu Ozsoy. Optimization Generation Planning using RFR GWO under harsh environment via microgrid for TARS Turkish Antarctica Research Station. International Journal of Science and Research Archive, 2026, 19(01), 359-382. Article DOI: https://doi.org/10.30574/ijsra.2026.19.1.0746.






