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Optimum Allocation and Sizing of Storages with Multi-Objective Grey Wolf Optimizer

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

2 Atıf (Scopus)

Özet

This study employs the Multi-Objective Grey Wolf Optimizer (MOGWO) to optimize the allocating and sizing of ESS in a modified IEEE 123 Bus Test System integrated with PV systems. The simulation was conducted on MATLAB and the load flow analysis were conducted using OpenDSS through COM interface. The analysis assesses both the operational and placement optimizations of ESSs, demonstrating significant improvements in reducing power loss and voltage deviations while ensuring economic viability. The inclusion of ESSs reduced overand under-voltage events by more than 50%, from 866 in the PVonly scenario to 409 with ESSs, and overall voltage deviation decreased from 7.108 p.u. to 6.809 p.u. The results indicate that optimized ESS deployment can lead to a more stable and efficient power grid, reinforcing the value of MOGWO in complex system optimization.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9798331531492
DOI'lar
Yayın durumuYayınlandı - 2024
Etkinlik8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024 - Malatya, Turkey
Süre: 21 Eyl 202422 Eyl 2024

Yayın serisi

Adı8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024

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???event.eventtypes.event.conference???8th International Artificial Intelligence and Data Processing Symposium, IDAP 2024
Ülke/BölgeTurkey
ŞehirMalatya
Periyot21/09/2422/09/24

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Publisher Copyright:
© 2024 IEEE.

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