Multi-objective dynamic economic dispatch using Fruit Fly Optimization method

• Autorzy: Arsyad Haripuddin , Suyuti Ansar , Said Sri Mawar , Akil Yusri Syam

Identyfikatory

DOI

10.24425/aee.2021.136989

• Języki publikacji: EN

Abstrakty

EN

An essential task of the interconnected power system is about how to optimize power plants during operation time which is known as economic dispatch. In this study, the Fruit Fly Optimization method is proposed to solve problems of dynamic economic dispatch in an electrical power system. To measure the performance of the method, a simulation was conducted for two different electric systems of the existing Sulselbar 150 kV thermal power plant system in Indonesia with two objective functions, namely fuel costs and active power transmission losses, aswell as the 30-bus IEEE standard system with five objective functions namely fuel costs, transmission losses (active and reactive power), a reactive power reserve margin, and an emission index by considering a power generation limit and ramp rates as the constraints. Under tested cases, the simulation results have shown that the Fruit Fly Optimization method can solve the problems of dynamic economic dispatch better than other existing optimization methods. It is indicated by all values of the objective functions that are lowest for the Fruit Fly Optimization method. Moreover, the obtained computational time is sufficiently fast to get the best solution.

Słowa kluczowe

EN

dynamic economic dispatch; Fruit Fly Optimization method; multi-objective

PL

wysyłka ekonomiczna dynamiczna; Metoda optymalizacji muszki owocowej; wielocelowy

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2021
• Tom: Vol. 70, nr 2
• Strony: 351--366
• Opis fizyczny: Bibliogr. 27 poz., rys., wz., tab.

Twórcy

autor

Arsyad Haripuddin

• Electrical Engineering Department, Hasanuddin University Gowa, Indonesia
• Electrical Engineering Department, Makassar State University Makassar, Indonesia

autor

Suyuti Ansar

• Electrical Engineering Department, Hasanuddin University Gowa, Indonesia

autor

Said Sri Mawar

• Electrical Engineering Department, Hasanuddin University Gowa, Indonesia

autor

Akil Yusri Syam

• Electrical Engineering Department, Hasanuddin University Gowa, Indonesia

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).