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Total Harmonic Distortion Comparison between Sinusoidal PWM Inverter and Multilevel Inverter in Solar Panel Budiman, Firmansyah Nur; Ramadhani, Muhammad Ridho
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 3, August 2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (669.512 KB) | DOI: 10.22219/kinetik.v3i3.617

Abstract

This research compared the performance of PWM (Pulse Width Modulation) inverter and multilevel inverter in terms of their output voltage and current total harmonic distortion (THD). The inverters were designed to have the output voltage of 220 V at 50 Hz. The input voltage for both inverters are 400 VDC. For PWM inverter, the PWM technique utilized was sinusoidal PWM (SPWM) and for multilevel converter, the number of voltage level is five with diode-clamped topology. The study included circuit implementation, analysis, and THD calculation, all of which were carried out through simulation using PSpice software. In controlling the SPWM inverter output, the adjusted parameters included amplitude modulation ratio, frequency modulation ratio, and filter components’ parameters. On the other hand, the firing angles of the switching components were designated as controlling parameters in multilevel inverter. From the study, it was found that the best THD values of the designed SPWM inverter are 4.2% (voltage) and 1.7% (current), while those of multilevel inverter are 27% and 11%, for voltage and current, respectively. Thus, it can be concluded that SPWM inverter is better than 5-level inverter for the application in solar panel due to its lower THD. In our study, 5-level inverter did not satisfy the THD requirement specified in IEEE 512-1992, i.e. 5%.
Design and Implementation of Series Resonant DC-DC Converter Budiman, Firmansyah Nur; Amrad, Arridha
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.871 KB) | DOI: 10.25077/jnte.v9n1.736.2020

Abstract

The resonant DC-DC converter is known as advantageous over conventional DC-DC converter in terms of efficiency. This is primarily because the resonant converter operates at soft switching mode. In this paper, we report our work on the design and implementation of a series resonant DC-DC converter with full-bridge switching. The developed converter consisted of two main parts, namely the PWM signal-generating circuit as the driver for MOSFET and converter primary circuit. The first part was implemented by using Arduino UNO R3, whose output was amplified with IR2110 optocoupler. The latter was made up of full-bridge inverter, which employs MOSFET as the electronic switches, resonance circuit, and full-bridge uncontrolled rectifier. Performance of the developed converter was tested by supplying input voltage ranging from 20 to 30 V. It was shown that the converter functioned as a step-down “DC” transformer, i.e. voltage reducer. The maximum output voltage level obtained was half of the input, which was achieved at switching frequency of 40 kHz and efficiency of 50%. The converter was also tested to supply practical electrical load. In this case, a 12-V electric drill was put in place. The drill worked well, and a converter efficiency of 43% could be calculated during this operation.Keywords : DC-DC Converter, Series Resonance and Switching
Application of Genetic Algorithm to Minimize Harmonic in Multilevel Inverter Budiman, Firmansyah Nur; Windarko, Novie Ayub; Kuswadi, Son
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 (471.25 KB) | DOI: 10.25077/jnte.v5n1.192.2016

Abstract

In inverter design, harmonic voltage is the main issue which affects the performance of the inverter. Generally, the harmonic minimization problem complexity is influenced by the number of harmonic orders to be minimized. This paper presents the utilization of genetic algorithm (GA) to solve harmonic minimization problem in multilevel inverter. The objective is to find relationship between the number of minimized harmonic orders and the results of total harmonic distortion (THD). The inverter to investigate is 11-level, but it is also applicable to multilevel inverters with any number of levels. The results show that harmonic contained in the output voltage has a small dependence on the number of harmonic orders that are minimized. However, the best results are still satisfied even though involving higher number of harmonics. The best-obtained THD, evaluated until 19th harmonic, is 2.76%, which is fairly low and thus acceptable.Keywords : Harmonic, genetic algorithm, multilevel inverter and optimization.Abstrak—Dalam desain inverter, harmonisa tegangan merupakan permasalahan utama yang mempengaruhi performa inverter. Pada umumnya, kompleksitas permasalahan minimisasi harmonisa dipengaruhi oleh jumlah orde harmonisa yang akan diminimisasi. Paper ini membahas utilisasi algoritman genetika untuk menyelesaikan persoalan minimisasi harmonisa di inverter multilevel. Tujuannya adalah untuk menemukan hubungan antara jumlah orde harmonisa yang diminimisasi dan total harmonic distortion (THD) yang dihasilkan. Inverter yang diinvestigasi adalah inverter 11-level, akan tetapi studi ini bisa diaplikasikan ke inverter multilevel dengan jumlah level yang lain. Hasil studi menunjukkan bahwa harmonisa di tegangan keluaran inverter memiliki keterkaitan yang kecil terhadap jumlah orde harmonisa yang diminimisasi. Akan tetapi, hasil yang paling bagus tetap masih didapatkan ketika jumlah harmonisa yang diminimisasi banyak. THD terbaik yang diperoleh, dievaluasi hingga harmonisa ke-19, adalah 2,76%, dimana angka ini cukup kecil dan dapat diterima.Kata Kunci : Harmonisa, algoritma genetika, inverter multilevel dan optimisasi.
Application of Genetic Algorithm to Minimize Harmonic in Multilevel Inverter Firmansyah Nur Budiman; Novie Ayub Windarko; Son Kuswadi
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 (471.25 KB) | DOI: 10.25077/jnte.v5n1.192.2016

Abstract

In inverter design, harmonic voltage is the main issue which affects the performance of the inverter. Generally, the harmonic minimization problem complexity is influenced by the number of harmonic orders to be minimized. This paper presents the utilization of genetic algorithm (GA) to solve harmonic minimization problem in multilevel inverter. The objective is to find relationship between the number of minimized harmonic orders and the results of total harmonic distortion (THD). The inverter to investigate is 11-level, but it is also applicable to multilevel inverters with any number of levels. The results show that harmonic contained in the output voltage has a small dependence on the number of harmonic orders that are minimized. However, the best results are still satisfied even though involving higher number of harmonics. The best-obtained THD, evaluated until 19th harmonic, is 2.76%, which is fairly low and thus acceptable.Keywords : Harmonic, genetic algorithm, multilevel inverter and optimization.Abstrak—Dalam desain inverter, harmonisa tegangan merupakan permasalahan utama yang mempengaruhi performa inverter. Pada umumnya, kompleksitas permasalahan minimisasi harmonisa dipengaruhi oleh jumlah orde harmonisa yang akan diminimisasi. Paper ini membahas utilisasi algoritman genetika untuk menyelesaikan persoalan minimisasi harmonisa di inverter multilevel. Tujuannya adalah untuk menemukan hubungan antara jumlah orde harmonisa yang diminimisasi dan total harmonic distortion (THD) yang dihasilkan. Inverter yang diinvestigasi adalah inverter 11-level, akan tetapi studi ini bisa diaplikasikan ke inverter multilevel dengan jumlah level yang lain. Hasil studi menunjukkan bahwa harmonisa di tegangan keluaran inverter memiliki keterkaitan yang kecil terhadap jumlah orde harmonisa yang diminimisasi. Akan tetapi, hasil yang paling bagus tetap masih didapatkan ketika jumlah harmonisa yang diminimisasi banyak. THD terbaik yang diperoleh, dievaluasi hingga harmonisa ke-19, adalah 2,76%, dimana angka ini cukup kecil dan dapat diterima.Kata Kunci : Harmonisa, algoritma genetika, inverter multilevel dan optimisasi.
Design and Implementation of Series Resonant DC-DC Converter Firmansyah Nur Budiman; Arridha Amrad
JURNAL NASIONAL TEKNIK ELEKTRO Vol 9, No 1: March 2020
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.871 KB) | DOI: 10.25077/jnte.v9n1.736.2020

Abstract

The resonant DC-DC converter is known as advantageous over conventional DC-DC converter in terms of efficiency. This is primarily because the resonant converter operates at soft switching mode. In this paper, we report our work on the design and implementation of a series resonant DC-DC converter with full-bridge switching. The developed converter consisted of two main parts, namely the PWM signal-generating circuit as the driver for MOSFET and converter primary circuit. The first part was implemented by using Arduino UNO R3, whose output was amplified with IR2110 optocoupler. The latter was made up of full-bridge inverter, which employs MOSFET as the electronic switches, resonance circuit, and full-bridge uncontrolled rectifier. Performance of the developed converter was tested by supplying input voltage ranging from 20 to 30 V. It was shown that the converter functioned as a step-down “DC” transformer, i.e. voltage reducer. The maximum output voltage level obtained was half of the input, which was achieved at switching frequency of 40 kHz and efficiency of 50%. The converter was also tested to supply practical electrical load. In this case, a 12-V electric drill was put in place. The drill worked well, and a converter efficiency of 43% could be calculated during this operation.Keywords : DC-DC Converter, Series Resonance and Switching
Total Harmonic Distortion Comparison between Sinusoidal PWM Inverter and Multilevel Inverter in Solar Panel Firmansyah Nur Budiman; Muhammad Ridho Ramadhani
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 3, August 2018
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (669.512 KB) | DOI: 10.22219/kinetik.v3i3.617

Abstract

This research compared the performance of PWM (Pulse Width Modulation) inverter and multilevel inverter in terms of their output voltage and current total harmonic distortion (THD). The inverters were designed to have the output voltage of 220 V at 50 Hz. The input voltage for both inverters are 400 VDC. For PWM inverter, the PWM technique utilized was sinusoidal PWM (SPWM) and for multilevel converter, the number of voltage level is five with diode-clamped topology. The study included circuit implementation, analysis, and THD calculation, all of which were carried out through simulation using PSpice software. In controlling the SPWM inverter output, the adjusted parameters included amplitude modulation ratio, frequency modulation ratio, and filter components’ parameters. On the other hand, the firing angles of the switching components were designated as controlling parameters in multilevel inverter. From the study, it was found that the best THD values of the designed SPWM inverter are 4.2% (voltage) and 1.7% (current), while those of multilevel inverter are 27% and 11%, for voltage and current, respectively. Thus, it can be concluded that SPWM inverter is better than 5-level inverter for the application in solar panel due to its lower THD. In our study, 5-level inverter did not satisfy the THD requirement specified in IEEE 512-1992, i.e. 5%.
Economic Dispatch Unit Pembangkit Termal Memperhitungkan Kekangan Emisi Lingkungan Menggunakan Metode Differential Evolutionary Algorithm Yogi Agus Priatna; Firmansyah Nur Budiman; Elvira Sukma Wahyuni
Retii Prosiding Seminar Nasional ReTII ke-13 2018
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Economic Dispatch (ED) adalah permasalahan untuk menentukan alokasi daya optimum diantara unit-unit pembangkit untuk melayani beban total, sehingga didapat total biaya operasi minimum dengan tetap memperhitungkan kekangan-kekangan sistem. Untuk sistem unit pembangkit termal, penggunaan bahan bakar menjadi salah satu pertimbangan dalam melakukan optimasi ED karena timbulnya emisi gas buang dari bahan bakar tersebut. Diantara emisi gas yang dihasilkan unit termal, CO2 merupakan emisi gas paling besar. Tujuan dari penelitian ini adalah untuk menerapkan optimasi ED pada sistem unit pembangkit termal dengan emisi CO2 sebagai salah satu fungsi pengekangnya. Proses optimasi diselesaikan menggunakan algoritma Differential Evolution Algorithm (DEA) dan sistem yang menjadi objek penelitian adalah sistem IEEE 24 bus dengan 26 unit termal. ED diterapkan selama 24 jam dengan total energi yang disuplai sebesar 54910 MWh. Tanpa memperhitungkan kekangan emisi CO2, didapatkan biaya total pembangkitan sebesar $861714,5. Dengan memperhitungkan emisi CO2, dimana nilai emisi maksimum yang diijinkan adalah 37503,53 ton, didapatkan biaya total pembangkitan sebesar $902895,79. Kuantitas emisi CO2 yang dihasilkan adalah 37473,01 ton. Kenaikan biaya total pembangkitan ini karena pembatasan penggunaan unit-unit berbahan bakar batu bara, yang berbiaya rendah namun menghasilkan emisi CO2 yang tinggi. Konsekuensinya, penggunaan unit-unit berbahan bakar minyak, yang emisi CO2-nya rendah namun berbiaya mahal, dinaikkan. Akibatnya, biaya operasi total naik secara signifikan.
Dimensional analysis of partial discharge initiated by a metallic particle adhering to the spacer surface in a gas-insulated system Budiman, Firmansyah Nur; Rushdi, Ali Muhammad
Communications in Science and Technology Vol 6 No 2 (2021)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.6.2.2021.556

Abstract

Partial discharges (PDs) constitute important phenomena in a Gas-Insulated System (GIS) that warrant recognition (and, subsequently, mitigation) as they are obvious symptoms of system degradation. This paper proposes the application of dimensional analysis, based on Buckingham pi theorem, for characterizing PDs provoked by the presence of metallic particles adhering to the spacer surface in a GIS employing SF6 (Sulphur hexafluoride). The ultimate goal of the analysis is to formulate the relationships that express three PD indicator quantities, namely current, charge, and energy, in terms of six independent quantities that collectively influence these indicators. These six quantities (henceforth referred to as the influencing, determining or affecting variables) include the level of applied voltage, the SF6 pressure, the length and position of the particle on the spacer, the duration of voltage application, and the gap between electrodes. To compute the pertinent dimensionless products, we implement three computational methods based on matrix operations. These three methods produce exactly the same dimensionless products, which are subsequently used for constructing the models depicting the relationships between each of the three PD dependent quantities and the common six determining variables. The models derived provide partial quantitative information and facilitate qualitative reasoning about the considered phenomenon.
Optimal Power Flow using An Optimally Tuned Pattern Search Algorithm Budiman, Firmansyah Nur; Hidayat, Taufal; Uswarman, Rudi
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 8 No. 2 (2024)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v8i2.1290

Abstract

Optimal power flow (OPF) is a critical optimization application in power system planning and operation. Numerous studies employ metaheuristic techniques to address OPF problems of varying complexity. However, these techniques often suffer from slow convergence due to their dependence on the quality of initial solutions. To overcome this limitation, initial solutions must be optimally tuned to achieve good outcomes with faster convergence. This paper proposes an optimally tuned pattern search (OPS) algorithm to solve OPF problems in medium and large power systems. The tuning process, performed using the classical interior point method (IPM), provides optimal initial control variable values for the standard pattern search (PS) algorithm. The proposed technique is applied to three test systems: IEEE 30-bus, IEEE 57-bus, and IEEE 118-bus systems. The OPF problem is formulated to minimize four objectives: total active power loss, total generator fuel cost, total generator emission, and total deviation in load bus voltage magnitude. The performance of the OPS algorithm is evaluated based on objective function values and computation times and is compared with IPM and two popular metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA). Results indicate that the OPS algorithm's performance varies across test systems but generally balances optimization performance with computational efficiency.