OPTIMASI TRANSMISSION EXPANSION PLANNING BERBASIS ALGORITMA GENETIKA

Alfi, Ikrima and Sarjiya, Sarjiya and Wahyunggoro, Oyas (2014) OPTIMASI TRANSMISSION EXPANSION PLANNING BERBASIS ALGORITMA GENETIKA. Jurnal Teknik, 4 (2). pp. 108-117. ISSN 2088-3676

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Abstract

Transmission Expansion Planning (TEP) is a basic part of power network planning that determines where, when and how many new transmission lines should be added to the network. Its task is to minimize the network construction and operational cost, while meeting imposed technical, economic and reliability constraints. Genetic Algorithms (GAs) have demonstrated the ability to deal with non-convex, nonlinear, mixed-integer optimization problems, like the TEP problem, better than a number of mathematical methodologies. This study is divided into two scenarios, scenario 1 is simulated TEP without considering power losses and scenario 2 is simulated by considering the TEP power loss. Used AC load flow in the long term TEP. The simulation is applied to the Garver 6 bus system 230 kV and 400 kV. Simulation results shows the use of a voltage level of 400 kV is more economical than the 230 kV. TEP with scenario 1 has the initial investment cost is lower compared with TEP scenario 2. However, at the time of implementation, scenario 2 after the 9th year have lower operational costs

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Teknologi Informasi dan Elektro > S1 Teknik Elektro
Depositing User: Ikrima Alfi
Date Deposited: 23 May 2019 02:29
Last Modified: 20 Sep 2019 08:01
URI: http://eprints.uty.ac.id/id/eprint/2747

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