MFOA-ABC hybrid optimization method for dynamic economic dispatch of the 150 kV sulselbar electrical system; [Hybrydowa metoda optymalizacji MFOA-ABC dla dynamicznej ekonomicznej dystrybucji systemu elektrycznego 150 kV]

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Haripuddin, Ansar Suyuti, Sri Mawar Said, Yusri Syam Akil

2021 Przeglad Elektrotechniczny Vol. 97 Issue 8 Article Cited by 2 SDG 7 Quartile

Abstract

This paper proposed a Modified Fruit Fly Optimization Algorithm-Artificial Bee Colony (MFOA-ABC) hybrid optimization method to solve the problem of dynamic economic dispatch (DED) of the 150 kV Sulselbar electrical systems by using two objective functions as tested parameters and considering power balanced, power limits of the generator, and generator ramp rate as constraints. Besides, the voltage profile, the L index voltage stability, and loading margin V-P on critical buses were evaluated. Results simulation of the MFOA-ABC optimization method were compared with other methods and it was obtained that the proposed method was better. © 2021 Wydawnictwo SIGMA-NOT. All rights reserved.

Affiliations

M.T, Electrical Engineering Department, Hasanuddin University, Gowa, Indonesia; Electrical Engineering Department, Makassar State University, Makassar, Indonesia

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