Penerapan Metode Gravitational Search Algorithm Menggunakan Static VAR Compensator
DOI:
https://doi.org/10.26418/justin.v10i1.50575Keywords:
Static VAR Compensator, Gravitational Search AlgorithmAbstract
Penerapan metode Gravitational Search Algorithm (GSA) ini bertujuan memperbaiki profil tegangan tenaga listrik menggunakan Static VAR Compensator (SVC). Penelitian ini dibandingkan hasil simulasi sebelum pemasangan SVC menggunakan metode Newton Raphson (NR) dan sesudah pemasangan SVC menggunakan metode GSA. Lokasi implementasi penelitian ini adalah system kelistrikan Jawa-Bali 500 kV. Hasil simulasi sesudah pemasangan SVC menggunakan metode GSA ini lebih baik dibandingkan dengan hasil simulasi sebelum pemasangan SVC menggunakan metode NR. Hasil simulasi sesudah pemasangan SVC menggunakan metode GSA ini juga, dapat memperbaiki profil tegangan pada system Jawa-Bali 500 kV.
References
Hadi Saadat, “Power System Analysisâ€, Mc.Graw Hill Companies, Singapore, 2004.
El-Abiad, A.H. dan Stagg, G.W., “Computer Methods in Power Systems Analysisâ€, McGraw-Hill, Singapore, 257-259, 1968.
Grainger, JJ, Stevenson, W.D., “Elements of Power Systems Analysisâ€, 4th. Ed.McGraw-Hill Book Company, New York, 1994.
Gross, Charles. A, “Power System Analysisâ€, Second Edition, John Wiley and Sons, 1986.
Imam Robandi, “Modern Power System Designâ€, Andi, Yogyakarta, 2006.
Narain G. Hingorani, Laszlo Gyugyi, Mohamed E. El-Hawary, “Understanding FACTS Concepts and Technology of Flexible AC Transmission Systemsâ€, John Wiley & Sons, Inc, New York, 2000.
M.A. Abido, “Power System Stability Enhancement Using Facts Controllers: a Reviewâ€, The Arabian Journal for Science and Engineering, Vol 34, No 2, pp.153-172, ISSN 1319-8025, 2009.
Umar, Adi Soeprijanto, Mauridhi Hery Purnomo, “Placement Optimization of Multi Facts Devices In South Sulawesi Electrical System Using Genetic Algorithmâ€, National Seminar on Information Technology Applications, Yogyakarta, 2008, ISSN: 1907-5022 (Indonesian language).
L.J. Cai, I. Erlich, “Optimal Choice and Allocation of FACTS devices using Genetic Algorithmsâ€, Proc. on Twelfth Intelligent Systems Application to Power Systems Conference, pp. 1-6, 2003.
Pisica, C. Bulac, L. Toma, M. Eremia, “Optimal UPFC Placement in Electric Power Systems Using a Genetic Algorithms Based Methodâ€, Paper accepted for presentation at 2009 IEEE Bucharest Power Tech Conference, June 28th - July 2nd, Bucharest, Romania.
B. Bhattacharyya, B.S.K. Goswami, “Optimal Placement of Facts Devices Genetic Algorithm for the Increased Load ability of a Power Systemâ€, Warld Academy of Science, Engineering and Technology, 2011.
Siti Amely Jumaat, Ismail Musirin, Muhammad Mutadha Othman,dan Hazlie Mokhlis, “Optimal Location and Sizing of UPFC Using Particle Swarm Optimization Techniqueâ€, First International Conference on Informatics and Computational Intelligence (ICI), Universitas Parahyangan, Bandung, 2011.
E. Rashedi, H. Nezamabadi-pour, S. Saryazdi, “GSA: A gravitational search algorithmâ€, Information Sciences, 2009, vol. 179, pp. 2232-2248.
Budi Santosa dan Paul Willy, “Metaheuristics Method Concepts and Implementationâ€, Guna Widya Publishers, 2011, ISBN: 979545049-2 (Indonesian language).
Purwoharjono, Muhammad Abdillah, Ontoseno Penangsang, Adi Soeprijanto, “Optimal Placement and Sizing of Thyristor-Controlled-Series-Capacitor using Gravitational Search Algorithmâ€, Indonesian Journal of Electrical Engineering, TELKOMNIKA, Desember 2012, Vol. 10 No. 4, pp. 683-694, 2012.
Purwoharjono, Muhammad Abdillah, Ontoseno Penangsang, Adi Soeprijanto, “Optimal Placement of TCSC Using Fuzzy Logic System Gravitational Search Algorithmâ€, Journal of Theoretical and Applied Information Technology, Volume. 47. No.2, pp: 460-470, 2013.
Purwoharjono, Muhammad Abdillah, Ontoseno Penangsang, Adi Soeprijanto, “Optimal Design of TCPST Using Gravitational Search Algorithmâ€, Second International conference on intelligence system and informatics (ISI 2012), ISBN 978-0-7695-4926-2, 2012.
Downloads
Additional Files
Published
Issue
Section
License
Copyright (c) 2021 JUSTIN (Jurnal Sistem dan Teknologi Informasi)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The author owns the copyright in his paper and agrees to publish his paper to JUSTIN by giving the rights to the first publication of his paper which is simultaneously licensed under the Creative Commons Attribution License, namely the Similar International 4.0 license (CC BY-NC-SA 4.0).

This is a human-readable summary of (and not a substitute for) the license. Disclaimer.
You are free to:Share "” copy and redistribute the material in any medium or format
Adapt "” remix, transform, and build upon the material
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution "” You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial "” You may not use the material for commercial purposes.
ShareAlike "” If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions "” You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.