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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics JURNAL NASIONAL TEKNIK ELEKTRO
Kho Hie Khwee
Tanjungpura University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Optimum Renewable Fraction for Grid-connected Photovoltaic in Office Building Energy Systems in Indonesia Ayong Hiendro; Ismail Yusuf; F. Trias Pontia Wigyarianto; Kho Hie Khwee; Junaidi Junaidi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 9, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (457.75 KB) | DOI: 10.11591/ijpeds.v9.i4.pp1866-1874

Abstract

This paper analyzes influences of renewable fraction on grid-connected photovoltaic (PV) for office building energy systems. The fraction of renewable energy has important contributions on sizing the grid-connected PV systems and selling and buying electricity, and hence reducing net present cost (NPC) and carbon dioxide (CO2) emission. An optimum result with the lowest total NPC for serving an office building is achieved by employing the renewable fraction of 58%, in which 58% of electricity is supplied from the PV and the remaining 42% of electricity is purchased from the grid. The results have shown that the optimum grid-connected PV system with an appropriate renewable fraction value could greatly reduce the total NPC and CO2 emission.
Differential Evolution Algorithm with Triangular Adaptive Control Parameter for SHEPWM Switching Pattern Optimization Ismail Yusuf; Ayong Hiendro; F. Trias Pontia Wigyarianto; Kho Hie Khwee
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 8, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v8.i3.pp1381-1388

Abstract

Differential evolution (DE) algorithm has been applied as a powerful tool to find optimum switching angles for selective harmonic elimination pulse width modulation (SHEPWM) inverters. However, the DE’s performace is very dependent on its control parameters. Conventional DE generally uses either trial and error mechanism or tuning technique to determine appropriate values of the control paramaters. The disadvantage of this process is that it is very time comsuming. In this paper, an adaptive control parameter is proposed in order to speed up the DE algorithm in optimizing SHEPWM switching angles precisely. The proposed adaptive control parameter is proven to enhance the convergence process of the DE algorithm without requiring initial guesses. The results for both negative and positive modulation index (M) also indicate that the proposed adaptive DE is superior to the conventional DE in generating SHEPWM switching patterns
Neural Network-Based Stabilizer for the Improvement of Power System Dynamic Performance Rudy Gianto; Kho Hie Khwee
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 3: September 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i3.3875

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.
Two-port network model of fixed-speed wind turbine generator for distribution system load flow analysis Rudy Gianto; Kho Hie Khwee; Hendro Priyatman; Managam Rajagukguk
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i3.11866

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.
A new T-circuit model of wind turbine generator for power system steady state studies Rudy Gianto; Kho Hie Khwee
Bulletin of Electrical Engineering and Informatics Vol 10, No 2: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i2.2306

Abstract

Modeling of wind power plant (WPP) is a crucial issue in power system studies. In this paper, a new model of WPP for steady state (i.e. load flow) studies is proposed. Similar to the previous T-circuit based models, it is also developed based on equivalent T-circuit of the WPP induction generator. However, unlike in the previous models, the mathematical formulation of the new model is shorter and less complicated. Moreover, the derivation of the model in the present work is also much simpler. Only minimal mathematical operations are required in the process. Furthermore, the rotor voltage value of the WPP induction generator is readily available as an output of the proposed new model. This rotor voltage value can be used as a basis to calculate the induction generator slip. Validity of the new method is tested on a representative 9-bus electrical power system installed with WPP. Comparative studies between the proposed method (new model) and other method (previous model) are also presented
Solusi Aliran Daya Untuk Sistem Distribusi Tak Seimbang dengan Menggunakan Metode Trust-Region Rudy Gianto; Kho Hie Khwee
JURNAL NASIONAL TEKNIK ELEKTRO Vol 5 No 1: Maret 2016
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (235.157 KB) | DOI: 10.25077/jnte.v5n1.171.2016

Abstract

In this research, the trust-region method has been proposed for solving the power flow problem of an unbalanced distribution system. The proposed method has been successfully applied in solving the power flow problems of three unbalanced distribution networks, i.e. 10-bus, 19-bus and 25-bus systems. The results of investigation obtained by the proposed method were compared to the previously reported results and were found to be in exact agreement                                                    Keywords : power flow, distribution system, trust-region methodAbstrak—Pada penelitian ini, telah dibahas penggunaan dari metode trust-region untuk menyelesaikan masalah aliran daya pada sistem distribusi tak-seimbang. Metode yang diusulkan tersebut telah berhasil diaplikasikan pada pada tiga buah sistem distribusi tak-seimbang yaitu: sistem 10-bus, 19-bus dan 25-bus. Hasil-hasil penelitian memperlihatkan bahwa nilai-nilai yang diperoleh melalui metode trust-region adalah sangat sesuai dengan nilai-nilai yang didapat melalui metode lain yang sebelumnya telah dipublikasikanKata Kunci : aliran daya, sistem distribusi, metode trust-region
Photovoltaic parameters estimation of poly-crystalline and mono-crystalline modules using an improved population dynamic differential evolution algorithm Ayong Hiendro; Ismail Yusuf; Fitriah Husin; Kho Hie Khwee
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp4538-4548

Abstract

Photovoltaic (PV) parameters estimation from the experimental current and voltage data of PV modules is vital for monitoring and evaluating the performance of PV power generation systems. Moreover, the PV parameters can be used to predict current-voltage (I-V) behavior to control the power output of the PV modules. This paper aimed to propose an improved differential evolution (DE) integrated with a dynamic population sizing strategy to estimate the PV module model parameters accurately. This study used two popular PV module technologies, i.e., poly-crystalline and mono-crystalline. The optimized PV parameters were validated with the measured data and compared with other recent meta-heuristic algorithms. The proposed population dynamic differential evolution (PDDE) algorithm demonstrated high accuracy in estimating PV parameters and provided perfect approximations of the measured I-V and power-voltage (P-V) data from real PV modules. The PDDE obtained the best and the mean RMSE value of 2.4251E-03 on the poly-crystalline Photowatt-PWP201, while the best and the mean RMSE value on the mono-crystalline STM6-40/36 was 1.7298E-03. The PDDE algorithm showed outstanding accuracy performance and was competitive with the conventional DE and the existing algorithms in the literature.
Co-Authors Ayong Hiendro F. Trias Pontia Wigyarianto Fitriah Husin Hendro Priyatman Ismail Yusuf Junaidi Junaidi Managam Rajagukguk Rudy Gianto