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Hazel Ariantara
Dept. of Electrical Engineering and Information Technology, Faculty of Engineering, Universitas Gadjah Mada
Electrical & Electronics Engineering

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The Solution for Optimal Power Flow (OPF) Method Using Differential Evolution Algorithm Hazel Ariantara; Sarjiya Sarjiya; Sasongko Pramono Hadi
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 1, No 1 (2017): March 2017
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1409.637 KB) | DOI: 10.22146/ijitee.25141

Abstract

Optimal Power Flow (OPF) is one of techniques used to optimize the cost of power plant production while maintaining the limit of system reliability. In this paper, the application of differential evolution (DE) method is used to solve the OPF problem with variable control such as the power plant output, bus voltage tension, transformer tap, and injection capacitor. The effectiveness of the method was tested using IEEE 30 buses. The result shows that this method is better than generic algorithm (GA), particle swarm optimized (PSO), fuzzy GA, fuzzy PSO, and bat-algorithm. The simulation of the power plant systems of 500 kV Java-Bali with the proposed method can reduce the total cost of generation by 13.04% compared to the operating data PT. PLN (Persero).
Co-Authors Sarjiya - Sasongko Pramono Hadi