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All Journal International Journal of Applied Power Engineering (IJAPE) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Rudy Gianto
Universitas Tanjungpura
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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A new method to incorporate three-phase power transformer model into distribution system load flow analysis Rudy Gianto; Purwoharjono Purwoharjono
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.21 KB) | DOI: 10.11591/ijape.v10.i3.pp262-270

Abstract

This paper proposes a new and simple method to incorporate three-phase power transformer model into distribution system load flow (DSLF) analysis. The objective of the present work is to find a robust and efficient technique for modeling and integrating power transformer in the DSLF analysis. The proposed transformer model is derived based on nodal admittance matrix and formulated by using the symmetrical component theory. Load flow formulation in terms of branch currents and nodal voltages is also proposed in this paper to enable integrating the model into the DSLF analysis. Singularity that makes the calculations in forward/backward sweep (FBS) algorithm is difficult to be carried out. It can be avoided in the method. The proposed model is verified by using the standard IEEE test system.
Model Rangkaian-T Pembangkit Listrik Tenaga Bayu untuk Analisis Aliran Daya Tiga-Fase Rudy Gianto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 1: Februari 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1201.059 KB) | DOI: 10.22146/jnteti.v10i1.902

Abstract

Recently, penetration of wind power plant in electric power distribution system has increased significantly. The wind power plant penetration can affect the system’s steady state and dynamic conditions. Furthermore, as the electric power distribution system is usually unbalanced, it has to be analyzed in a three-phase manner. Therefore, in order for the system conditions to be properly evaluated, development of a three-phase model of the system components (including wind power plant) is necessary. This paper proposes a simple method for modeling and integrating fixed-speed wind power plant for steady state analysis (i.e., power flow analysis) of the three-phase distribution system. The proposed method is based on the T-circuit model which has previously been successfully applied to single-phase electric power systems. In this study, the single-phase T-circuit model is modified and extended so as to facilitate three-phase power flow analysis under unbalanced system conditions. Application of the proposed model in two three-phase distribution systems (i.e. 33-node and 25-node systems) is also investigated and presented in this paper. Results of the investigation show that the proposed method is valid and accurate.
Pemodelan Pembangkit Listrik Tenaga Bayu Kecepatan Variabel untuk Analisis Aliran Daya Rudy Gianto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 3: Agustus 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v11i3.1749

Abstract

The use of variable speed wind turbines (pembangkit listrik tenaga bayu, PLTB) for electricity generation has increased. It contrasts with the fixed-speed PLTB, whose usage is decreasing. The major reason for PLTB’s rapid development is that it has better wind power extraction or collection capabilities than the fixed-speed PLTB. Variable speed operation in a PLTB can be achieved using a doubly-fed induction generator (DFIG) application as the primary energy converter. The crucial initial step in investigating and analyzing power system containing PLTB that must be done is modeling all the components of the power system (including PLTB). An analysis of this power system is mostly conducted to evaluate its performance or appearance. This paper discusses the DFIG-based modeling of the variable speed PLTB to be applied in a power flow analysis of electric power systems. The proposed PLTB model was obtained based on formulas that calculate the power and power losses of the PLTB. The typically challenging power electronics converters modeling of DIFG was not required during the process of building the model. It differs from the previously reported methods in which two different models must be used to accommodate the power flow analysis in subsynchronous or super synchronous conditions. In this paper, the DFIG-based PLTB is represented through a mathematical model. This model could be used to express the DFIG, either in the subsynchronous or super synchronous conditions. It was subsequently integrated into the power flow analysis to evaluate the system’s steady-state performance. The results of this case study will be further presented in this paper. In this study, the application of the proposed methods in the interconnected powers system containing PLTB was then examined. The results confirm the validity of the proposed DFIG model.
Peramalan Kebutuhan Energi Listrik Menggunakan Metode Gabungan Sahrul Sahrul; purwoharjono purwoharjono; Rudy Gianto
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 11, No 3 (2023)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v11i3.63821

Abstract

Kebutuhan energi listrik suatu daerah makin lama terus meningkat beriringan terhadap laju pertumbuhan ekonomi dan jumlah penduduk sebagai konsumen energi listrik. Untuk mengimbangi hal tersebut maka perlu melakukan peramalan kebutuhan energi listrik dimasa depan. Pengkajian ini mengamati suatu daerah di Kabupaten Kubu Raya untuk meramalkan kebutuhan energi listrik pada tahun 2023-2032 menggunakan metode gabungan. Penelitian ini dilakukan terhadap jumlah konsumen, pemakaian energi listrik, dan daya tersambung di Kabupaten Kubu Raya. Untuk hasil keseluruhan di Kabupaten Kubu Raya, jumlah pelanggan  pada tahun  2032 adalah 381.899 pelanggan dengan pertumbuhan jumlah konsumen sebesar 5,04% per tahun, pemakaian energi listrik pada tahun 2032 adalah 1.042.943,60 MWh dengan pertumbuhan konsumsi energi listrik sebesar 7,13% per tahun dan pertumbuhan daya tersambung sebesar 5,04% pertahun. Total kapasitas daya yang harus disiapkan PT. PLN (Persero) UP3 Kota Pontianak pada tahun 2032 yaitu 516.501,90 kVA. Hingga pada 2021, daya yang tersambung sekitar 300.757,28 kVA, sehingga PT. PLN (Persero) Kota Pontianak perlu menambahkan daya sebesar 215.744,62 kVA.
Neural Network pada Koordinasi PSS dan TCSC untuk Meningkatkan Kestabilan Sistem Tenaga Terinterkoneksi Rudy Gianto; Kho Hie Khwee
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 4: November 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (739.337 KB)

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.
Co-Authors Kho Hie Khwee purwoharjono purwoharjono Purwoharjono Purwoharjono Sahrul Sahrul