Rudy Gianto, Rudy
Tanjungpura University

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OPTIMALISASI PERALATAN KONTROL SISTEM TENAGA LISTRIK UNTUK MENINGKATKAN KESTABILAN SISTEM BERUKURAN BESAR Gianto, Rudy; Priyatman, Hendro
TRANSMISI Vol 17, No 4 Oktober (2015): TRANSMISI
Publisher : Jurusan Teknik Elektro Fakultas Teknik – Universitas Diponegoro

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Abstract

Pada penelitian ini telah dibahas prosedur dalam mengkoordinasikan alat-alat kontrol sistem tenaga seperti PSS dan peralatan FACTS untuk meningkatkan kestabilan suatu sistem tenaga listrik. Prosedur yang didasarkan pada optimisasi dengan konstrain tersebut juga telah diaplikasikan pada sistem-sistem tenaga listrik yang representatif. Keefektifan dari peralatan-peralatan tersebut dalam memperbaiki penampilan dinamik sistem telah dikonfirmasi melalui hasil-hasil perhitungan nilaieigen. Verifikasi lebih lanjut juga telah dilakukan melalui simulasi domain-waktu dimana kondisi gangguan telah digunakan untuk menginisiasi transien sistem. Kata Kunci: PSS, FDS, kestabilan sistem tenaga, optimalisasi
Neural Network-Based Stabilizer for the Improvement of Power System Dynamic Performance Gianto, Rudy; Hie Khwee, Kho
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017
Publisher : Universitas Ahmad Dahlan

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Abstract

This paper develops an adaptive control coordination scheme for power system stabilizers (PSSs) to improve the oscillation damping and dynamic performance of interconnected multimachine power system. The scheme was based on the use of a neural network which identifies online the optimal controller parameters. The inputs to the neural network include the active- and reactive- power of the synchronous generators which represent the power loading on the system, and elements of the reduced nodal impedance matrix for representing the power system configuration. The outputs of the neural network were the parameters of the PSSs which lead to optimal oscillation damping for the prevailing system configuration and operating condition. For a representative power system, the neural network has been trained and tested for a wide range of credible operating conditions and contingencies. Both eigenvalue calculations and time-domain simulations were used in the testing and verification of the performance of the neural network-based stabilizer.
Neural Network pada Koordinasi PSS dan TCSC untuk Meningkatkan Kestabilan Sistem Tenaga Terinterkoneksi Gianto, Rudy; Khwee, Kho Hie
Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI) Vol 5, No 4 (2016)
Publisher : Jurusan Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

This paper develops a design procedure for adaptive coordination among power system damping controllers (i.e. power system stabilizers and supplementary damping controller of thyristor-controlled series capacitor) for improving the stability of an interconnected electric power system. The design is based on the use of neural network which identifies the optimal controller parameters online. The inputs to the neural network include the active- and reactive- power of the synchronous generators which represent the power loading on the system, and elements of the reduced nodal impedance matrix for representing the power system configuration. The neural network-based adaptive controller is trained offline with a wide range of credible power system operating conditions and configurations. The controller parameters obtained from the trained neural network are verified by both eigenvalue calculations and time-domain simulations, which confirms that good dampings of the eletromechanical modes and stability are achieved.
Two-port network model of fixed-speed wind turbine generator for distribution system load flow analysis Gianto, Rudy; Khwee, Kho Hie; Priyatman, Hendro; Rajagukguk, Managam
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

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Abstract

Load flow analysis has always been used in determining the steady-state operation of an electric power or distribution system. For conventional power system without wind turbine generator, the method for load flow analysis has been well established. However, for modern system embedded with wind turbine generator, the investigation of analysis method is still an active research area. This paper proposed a new method to integrate fixed-speed wind turbine generator into distribution system load flow analysis. The proposed method is derived based on two-port network theory where the parameters of induction generator of the wind turbine generator are embedded in general constants of the two-port network. The proposed method has been tested and verified using a representative electric distribution system.