OPTIMASI PENEMPATAN TCSC UNTUK MEMPERBAIKI PROFIL TEGANGAN PADA JARINGAN 500 KV DI PT. PLN MENGGUNAKAN METODE REAL-CODED GENETIC ALGORITHM

Main Author: Isnugroho, Aditya Fitra
Format: Thesis NonPeerReviewed Book
Bahasa: ind
Terbitan: , 2022
Subjects:
Online Access: https://eprints.untirta.ac.id/15528/1/Skripsi.pdf
https://eprints.untirta.ac.id/15528/
ctrlnum 15528
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>https://eprints.untirta.ac.id/15528/</relation><title>OPTIMASI PENEMPATAN TCSC UNTUK MEMPERBAIKI &#xD; PROFIL TEGANGAN PADA JARINGAN 500 KV DI PT. PLN&#xD; MENGGUNAKAN METODE REAL-CODED GENETIC &#xD; ALGORITHM</title><creator>Isnugroho, Aditya Fitra</creator><subject>TK Electrical engineering. Electronics Nuclear engineering</subject><description>The development of energy transfer which is increasingly distant has resulted in complex and vulnerable problems in dealing with various kinds of disturbances, such as voltage drops, and also power losses that occur in the system. One way to overcome this disturbance is by installing a Flexible Alternating Current Transmission System (FACTS). The FACTS equipment used is a Thyristor Controlled Series Capacitor (TCSC) which can reduce reactance in the line so as to maintain power balance in the electric power system. The effectiveness of TCSC installation is influenced by the location and rating of the installation, the Real-Coded Genetic Algorithm (RGA) method is used to determine it. The simulation results show an improvement in the voltage profile in accordance with the rules of the Java-Bali electric power system (0.95 p.u V 1.05 p.u) and reduce power losses. The simulation results show an improvement in the voltage profile of 0.0383 p.u to 0.0514 p.u and reduce active power losses of 73.546 MW to 167, 102 MW and reactive power losses of 840.281 MVAR to 1728.471 MVAR.</description><date>2022-09-09</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>ind</language><identifier>https://eprints.untirta.ac.id/15528/1/Skripsi.pdf</identifier><identifier> Isnugroho, Aditya Fitra (2022) OPTIMASI PENEMPATAN TCSC UNTUK MEMPERBAIKI PROFIL TEGANGAN PADA JARINGAN 500 KV DI PT. PLN MENGGUNAKAN METODE REAL-CODED GENETIC ALGORITHM. S1 thesis, UNIVERSITAS SULTAN AGENG TIRTAYASA. </identifier><recordID>15528</recordID></dc>
language ind
format Thesis:Thesis
Thesis
PeerReview:NonPeerReviewed
PeerReview
Book:Book
Book
author Isnugroho, Aditya Fitra
title OPTIMASI PENEMPATAN TCSC UNTUK MEMPERBAIKI PROFIL TEGANGAN PADA JARINGAN 500 KV DI PT. PLN MENGGUNAKAN METODE REAL-CODED GENETIC ALGORITHM
publishDate 2022
topic TK Electrical engineering. Electronics Nuclear engineering
url https://eprints.untirta.ac.id/15528/1/Skripsi.pdf
https://eprints.untirta.ac.id/15528/
contents The development of energy transfer which is increasingly distant has resulted in complex and vulnerable problems in dealing with various kinds of disturbances, such as voltage drops, and also power losses that occur in the system. One way to overcome this disturbance is by installing a Flexible Alternating Current Transmission System (FACTS). The FACTS equipment used is a Thyristor Controlled Series Capacitor (TCSC) which can reduce reactance in the line so as to maintain power balance in the electric power system. The effectiveness of TCSC installation is influenced by the location and rating of the installation, the Real-Coded Genetic Algorithm (RGA) method is used to determine it. The simulation results show an improvement in the voltage profile in accordance with the rules of the Java-Bali electric power system (0.95 p.u V 1.05 p.u) and reduce power losses. The simulation results show an improvement in the voltage profile of 0.0383 p.u to 0.0514 p.u and reduce active power losses of 73.546 MW to 167, 102 MW and reactive power losses of 840.281 MVAR to 1728.471 MVAR.
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institution Universitas Sultan Ageng Tirtayasa
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collection Repository Universitas Sultan Ageng Tirtayasa
repository_id 3442
subject_area Administrasi Negara dan Militer
Akuntansi
Arsitektur
city KOTA SERANG
province BANTEN
repoId IOS3442
first_indexed 2023-03-04T21:43:48Z
last_indexed 2023-04-29T09:38:59Z
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