Solving the Optimal Power Flow Quadratic Cost Functions using Vortex Search Algorithm

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Küçük Resim

Tarih

2017

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Elsevier Science Bv

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

This study proposes solving the constraint optimal power flow problem (OPF) by using vortex search algorithm (VSA). VSA is inspired by natural vortexes. Piecewise quadratic fuel cost and quadratic cost curve with valve point loadings test cases are solved on IEEE-30 bus test system by taking into consideration the system constraints such as generation limits, voltages at nodes, tap settings. The obtained test results show that VSA gives better results than any other algorithms which are used to solve the OPF problem. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Açıklama

20th World Congress of the International-Federation-of-Automatic-Control (IFAC) -- JUL 09-14, 2017 -- Toulouse, FRANCE
EKE, ibrahim/0000-0003-4792-238X; tezcan, Suleyman Sungur/0000-0002-4305-4426

Anahtar Kelimeler

Optimal power flow, heuristic programming, electric power systems, algorithms, optimization problems, optimal search techniques

Kaynak

Ifac Papersonline

WoS Q Değeri

N/A

Scopus Q Değeri

Q3

Cilt

50

Sayı

1

Künye

Aydın, Ö., Tezcan, S. S., Eke, İ., & Taplamacıoğlu, M. C., (2017). Solving the Optimal Power Flow Quadratic Cost Functions using Vortex Search Algorithm . IFAC 2017 (pp.239-244).