Optimalisasi Penempatan UPFC Pada Sistem Jawa Bali 500kv Menggunakan Algoritma Genetika


Optimization of UPFC Placement in Java Bali 500kv System Using Genetic Algorithm


  • (1) * Danu Firmansyah            Jurusan Teknik Elektro, Fakultas Teknik dan Kelautan, Universitas Hang Tuah, Surabaya  
            Indonesia

  • (2)  Istiyo Winarno            Jurusan Teknik Elektro, Fakultas Teknik dan Kelautan, Universitas Hang Tuah, Surabaya  
            Indonesia

    (*) Corresponding Author

Abstract

The transmission network is an important part of the power system to deliver electrical energy from the power  plant to the load, therefore the power system must be maximized to achieve optimal power flow, Unified Power Flow Control (UPFC) is one of the Flexible AC Transmission System (FACTS ) capable of controlling the power of the transmission line separately on electrical transmission and can be mounted on both the sender and the receiving end of the power. The UPFC power injection model to the transmission line is made in a power flow equation. In the Java Bali (Jali) 500 kV system analyzed by the Genetic Algorithm method, to produce a power injection  that  minimizes  the  active  and  reactive power losses of the transmission line without exceeding the UPFC device limit. In the Java Bali (Jali) 500 kV system analyzed by Genetic Algorithm method, the optimum UPFC value of Reactive Power injected  to  the  system for  bus  39  is  9695.593207MVar, bus 15 is 10598.78754 MVar, and on bus 37 is10755.88608 MVar. The total loss of channel power on  the  system  prior  to  installation  of  UPFC  is1815.775809 MW, while the total loss of channel power in the system after installing UPFC with GA is1537.391648 MW.

References

Carlos RS1, Hamzah Berahim2 dan Soedjatmiko.Seminar Nasional Teknik Menggunakan Pengendalian Aliran Daya Terpadu.

Rusejla Sadikovic,Internal Report,Power Flow Control With UPFC.

Saadat,Hadi.1999.Power System Analysis.McGraw-Hill.

Lesnanto multa putranto, Restu Prima Andani pengaruh penempatan upfc terhadap kestabilan tegangan sistem tenaga listrik, UGM, 2013.

Anwar, S. 2012. Optimasi Penempatan SVC untuk Memperbaiki Profil Tegangan dengan Menggunakan Algoritma Genetika. Jurnal Elektro ELTEK. Vol. 3, no. 1. Malang : Universitas Brawijay

Picture in here are illustration from public domain image (License) or provided by the author, as part of their works
Published
2018-04-26
 
Section
Electric Power Regulatory System