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International Journal of Power Electronics and Drive Systems (IJPEDS)
Published by Institute of Advanced Engineering and Science
ISSN : -     EISSN : 20888694     DOI : -
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
International Journal of Power Electronics and Drive Systems (IJPEDS, ISSN: 2088-8694, a SCOPUS indexed Journal) is the official publication of the Institute of Advanced Engineering and Science (IAES). The scope of the journal includes all issues in the field of Power Electronics and drive systems. Included are techniques for advanced power semiconductor devices, control in power electronics, low and high power converters (inverters, converters, controlled and uncontrolled rectifiers), Control algorithms and techniques applied to power electronics, electromagnetic and thermal performance of electronic power converters and inverters, power quality and utility applications, renewable energy, electric machines, modelling, simulation, analysis, design and implementations of the application of power circuit components (power semiconductors, inductors, high frequency transformers, capacitors), EMI/EMC considerations, power devices and components, sensors, integration and packaging, induction motor drives, synchronous motor drives, permanent magnet motor drives, switched reluctance motor and synchronous reluctance motor drives, ASDs (adjustable speed drives), multi-phase machines and converters, applications in motor drives, electric vehicles, wind energy systems, solar, battery chargers, UPS and hybrid systems and other applications.
Arjuna Subject : -
Articles 2,594 Documents
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A single-stage AC conversion with the three-phase matrix converter for the constant V/f ratio method Hothongkham, Prasopchok; Suathed, Sataporn; Aurairat, Anuchit
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1038-1050

Abstract

This research introduces a single-stage direct three-phase matrix converter that utilizes the signals from the output voltage for designing pulse-width modulation signals. This converter is made up of nine bidirectional switches that use IGBT power diodes. It directly converts a steady three-phase source voltage and frequency into a variable output voltage and frequency by adjusting the frequency and modulation index of the pulse-width modulation (PWM) signals. A mathematical model is utilized to illustrate the basic principles of the matrix converter before examining its operational waveform. An evaluation is then made between the analytical waveforms and the functional waveforms, as well as the harmonics generated by the direct three-phase matrix converter. The results from both methods and processes are displayed in close agreement. Additionally, this paper discusses V/f control for induction motor drive control using this converter.
Single stage boost cascaded multilevel inverter for photovoltaic applications Sriramalakshmi, P.; Angalaeswari, S.; Sujatha, M.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1012-1023

Abstract

This article discusses a high-gain five-level SL-SC-based cascaded multilevel qSBI (qSBMLI) for photovoltaic applications. A combination of switched inductor and switched capacitor structure produces a boost at high levels. Two identical SL-SC-based qSBI modules are cascaded and powered with two stiff DC voltage sources of 18 V each. The DC voltage of 18 V obtained from two different DC voltage sources is applied to each module. An 18 V DC voltage is supplied to a single module-A, which produces a DC link voltage (VPN) of about 240 V at the inverter's input side. The modulation index (MI) is selected as 0.68, and the duty ratio is kept at 0.3. The boost factor is obtained as 13.3, and the load voltage of 150 V is achieved across the resistive load. Hence, the voltage gain is 6.9. The proposed topology delivers 337 W of power to the load at an efficiency of 73%. The complete circuit topology and its operations are analyzed in MATLAB/Simulink. The control signals for the power switches are produced using the field programmable gate array (FPGA) SPARTAN 3E Kit. When the proposed circuits are analyzed and compared with the existing classical topologies, the proposed one shows the superior performance.
Buck-boost converter Fed nine level cascaded H-bridge inverter Devendiren, Shobana; Babu, R. Samuel Rajesh; Ramamurthi, Subbulakshmy
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1107-1115

Abstract

This research investigates on simulation of a traditional cascaded H-bridge (CHB) five-level inverter and proposes a nine-level cascaded H-bridge inverter system. The performance of both five-level and nine-level inverter systems is evaluated by modeling and simulating the open-loop system. According to the simulation results, the nine-level multilevel inverter (MLI) has a lower total harmonic distortion (THD) than the five-level MLI. The work also introduces a boost converter positioned between a photovoltaic power source and the inverter. A nine-level inverter system is utilized to simulate the proposed photovoltaic and battery-based buck-boost converter (BBC). The effectiveness of the proposed inverter is verified through simulation studies under various scenarios. In terms of THD, the comparison of the open-loop systems indicates that the nine-level inverter performs better than the five-level inverter. Additionally, simulations for a battery-based buck-boost converter and photovoltaic system used to verify the effectiveness of the proposed inverter.
Softplus function trained artificial neural network based maximum power point tracking Wen, Liong Han; Mohamed, Mohd Rezal
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1174-1183

Abstract

To optimize the electrical output of a photovoltaic system, maximum power point tracking (MPPT) methods are commonly employed. These techniques work by operating the photovoltaic system at its maximum power point (MPP), which varies based on environmental factors like solar irradiance and ambient temperature, thereby ensuring optimal power transfer between the photovoltaic system and the load. In this paper, an artificial neural network (ANN) is selected as an MPPT technique. The main contribution of the work is to introduce a softplus function trained artificial neural network-based maximum point tracking (SP-ANN MPPT). The proposed method is then compared with a sigmoid function trained artificial neural network-based maximum point tracking (SM-ANN MPPT). The simulation and experimental results show that SP-ANN MPPT is able to track high power than SM-ANN MPPT in different conditions.
Adaptive control scheme of variable speed wind turbines for frequency support Ontiveros, Leonardo Javier; Sarasua, Antonio Ernesto; Madrid Chirinos, Cindy
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1356-1367

Abstract

Wind generation has experienced significant growth in power systems, due to the high availability of the primary resource and the maturity of its technology, which allows a fast control of active and reactive power. However, its main disadvantage is the lack of controllability over the primary resource. This leads to unwanted frequency oscillations that affect the power system security as wind penetration increases. This is due to the inertia of wind turbines is decoupled from the inertia of synchronous machines connected to the power system. Based on the aforementioned information, this paper analyses the state of the art of control strategies that allow wind turbines to participate in the frequency control of the power system. The main contribution of this work is the novel control strategy proposed, which implements a virtual synchronous machine controlled by an adaptive control system to enhance the transient response of the wind turbine. This scheme allows efficient management of the turbine's rotating reserve without the need to reduce its output power or use expensive energy storage systems. This solution is suitable for power systems with high wind penetration (above 20%). The validity of this proposal is demonstrated through dynamic simulations in a test system.
Optimal gating angles for a three-phase 60 Hz voltage source multi-level inverter based on intelligent algorithms Hussein, Taha Ahmed; Ishak, Dahaman; Alkhateeb, Jawad Hasan; Salem, Mohamed
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp961-973

Abstract

The three-phase multi-level inverter is considered one of the main power sources in industrial applications as well as in renewable energy applications. Therefore, researchers are interested in improving the efficiency of the inverter by reducing the total harmonic distortion (THD) value to its lowest limits. Also, one of the factors for improving the efficiency of the inverter is reducing the number of switches used, as it contributes to reducing the resulting losses. This research resorts to using many optimal algorithms to find the optimal values for the inverter gating angles that ensure reducing the THD value, as well as using a suitable topology with a least number of switches. The research used five algorithms known for their accuracy and efficiency, genetic algorithm (GA), gray wolf optimization (GWO), particle swarm optimization (PSO), slime mould algorithm (SMA), and whale optimization algorithm (WOA) separately. Then, extracting the distinctive characteristics of these algorithms in a hybrid curve and using it in driving the three-phase multi-level inverter (MLI) with 31 levels. The research displays the voltages and currents of the inverter as well as the frequency analysis for three-phase inductive load resulting from simulating the inverter using MATLAB software.
Ensemble learning based fault detection using PMU data in imbalanced data condition Krishnan, Kiruthika; Iyengar, Srivani
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp851-863

Abstract

Significant advancements in the electrical grid include enhanced regulation, communication, metering, and customer interaction, driven by information communication technologies (ICTs) and cyber-physical systems (CPS). The adaptation of synchro phasor devices like phasor measurement units (PMUs) enables real-time monitoring and control, aiding in power system security assessment. PMUs record voltage and current phasors with GPS time stamps, transmitting data to phasor data concentrators (PDCs) for decision-making. However, ensuring the stability and security of this method against cybersecurity threats is crucial due to its reliance on Internet Protocol (IP) networks. Dynamic security assessment utilizes PMU data, reported up to 30–60 times per second, to evaluate power system safety. To address security issues, a Python-based fault detection system employing a stack ensemble learning algorithm is developed. This approach consistently outperforms traditional methods, producing satisfactory results with superior AUC-ROC curves, validated through correctness checks and graphical analysis. The dataset includes both natural and man-made security threats, facilitating comprehensive assessment and mitigation strategies. The ensemble learning algorithm performed better than the individual algorithms by obtaining 95% in the AUC-ROC curve.
A novel fetal Doppler calibrator: enhancing the precision of fetal heart rate monitoring Fauzi, Ekha Rifki; Setiyadi, Noor Alis; Doungjan, Kamonthip
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp873-881

Abstract

The congenital heart disease is associated with abnormal brain development in the womb of pregnant women where fetuses with congenital heart disease are at higher risk of miscarriage compared to the general population. Fetal and neonatal risk identification and assessment are essential for comprehensive risk stratification after diagnosis of congenital heart disease. This study aims to improve the accuracy of Doppler fetal measurements in the diagnosis of congenital heart disease risk with calibrators. This study used an experiment of a calibrator with four push buttons embedded to increase and decrease the beat per minute (BPM) value by comparing the BPM value of the Doppler fetal. The measurement was carried out by comparing the values of the calibrator and the Doppler fetal with units and tens of BPM. Statistical analysis used the paired sample T-Test. The measurement obtained a significant p-value of <0.05 with 95% CI. Furthermore, this calibrator does not have a difference in accuracy level with a Doppler fetal. This states that the calibrator has the feasibility to calibrate the fetal Doppler in the fetal heart examination service for pregnant women. This study has the prospect of improving the technology with the embedding of the internet of things (IoT).
Artificial neural network-based predictive control for three-phase inverter systems with RLC filters Nabil, Iftissen; Dali, Ali; Abdelmalek, Samir
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp949-960

Abstract

Model predictive control (MPC) is becoming more and more popular in power electronics applications, yet its practical implementation faces challenges due to computational complexity and resource demands. To address these issues, a novel MPC control approach using an artificial neural network (ANN-MPC) is put forth in this research. Using a real-time circuit modeling environment, a power converter with a virtual MPC controller that can regulate both linear and nonlinear loads is first created and run. The input-output data gathered from the virtual MPC is then used to train an artificial neural network (ANN) offline, enabling a simplified mathematical representation that significantly reduces computational complexity. Moreover, the ANN-MPC controller’s adaptability to input variations enhances robustness against system uncertainties. We offer a thorough explanation of the ANN-MPC's fundamental idea, ANN architecture, offline training approach, and online functioning. The suggested controller is validated by simulation with MATLAB/Simulink tools. Performance evaluation of the novel MPC-ANN controller is performed across various scenarios, including linear and nonlinear loads under various operational conditions, and a comparative analysis with conventional MPC is presented.
Energy saving of variable frequency drive in dust collector fan motors in the smelting process at the steel industry Turinno, Sarwo; Facta, Mochammad; Cahyadi, Cahyadi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1399-1408

Abstract

The dust removal system is a crucial component in the steel industry, designed to eliminate dust and gas generated during the smelting process. Its primary purpose is to prevent personnel in the surrounding area from inhaling harmful dust particles. A dust collector system is used to carry out this process before being removed from the chimney to the outside air. In the operation of the dust collector, there is still limited attention given to optimizing its operation to meet the needs of its load, where the dust collector still operates at maximum capacity continuously when the dust load decreases due to the smelting process, in an idle state. Setting the rotational speed of the fan motor to produce an airflow rate as required using a variable frequency drive (VFD). The Motor speed was varied in low and high conditions at 322 rpm and 879 rpm. The research results showed that the average airflow rate for the speed of 322 rpm was 150,326 m³/h, and it has 384.193 m³/h at the speed of 879 rpm. The energy savings obtained from the application of VFD to control the airflow rate value are 1,253,544 kWh/year, and the cost savings obtained are IDR 1,249,457,447 per year.

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