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ANALISIS PERBANDINGAN METODE OPTIMASI ALIRAN DAYA MENGGUNANAKAN PARTICLE SWARM OPTIMIZATION DAN ARTIFICIAL BEE COLONY BERDASARKAN MULTI-OBJECTIVE FUNCTION

Pramitasari, Lilian (2018) ANALISIS PERBANDINGAN METODE OPTIMASI ALIRAN DAYA MENGGUNANAKAN PARTICLE SWARM OPTIMIZATION DAN ARTIFICIAL BEE COLONY BERDASARKAN MULTI-OBJECTIVE FUNCTION. Bachelors Degree (S1) thesis, University of Muhammadiyah Malang.

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Abstract

The optimal power flow is carried out to be able to find out how much optimal power generated by each generator to get the minimum generation cost and minimum power losses. The purpose of this study was to apply and compare artificial intelligence methods to optimal power flow. The artificial intelligence are particle swarm optimization and artificial bee colony. Based on the calculation using MATLAB software, it is found that the optimal power flow by particle swarm optimization method can decrease power up to 0.129 MW or 0.04% compared with Newton-Raphson method. While generating power generated by artificial bee colony method increased to 1.554 MW or 0.571%. The best result of optimal power flow is using particle swarm optimization method compared with artificial bee colony method, in terms of power generation, total power loss, and generation cost.

Item Type: Thesis (Bachelors Degree (S1))
Student ID: 201310130311126
Keywords: OPF, optimal power flow, artificial intelligence, metaheuristic, PSO, ABC, power system.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering (20201)
Depositing User: CKO Repository
Date Deposited: 17 Nov 2018 00:50
Last Modified: 17 Nov 2018 00:50
URI : http://eprints.umm.ac.id/id/eprint/40218

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