International Journal of Power Electronics and Drive Systems (IJPEDS)
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.
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<![CDATA[Adaptive control scheme of variable speed wind turbines for frequency support ]]>
<![CDATA[Ontiveros, Leonardo Javier]]>;
<![CDATA[Sarasua, Antonio Ernesto]]>;
<![CDATA[Madrid Chirinos, Cindy]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1356-1367
<![CDATA[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.]]>
<![CDATA[Optimal gating angles for a three-phase 60 Hz voltage source multi-level inverter based on intelligent algorithms ]]>
<![CDATA[Hussein, Taha Ahmed]]>;
<![CDATA[Ishak, Dahaman]]>;
<![CDATA[Alkhateeb, Jawad Hasan]]>;
<![CDATA[Salem, Mohamed]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp961-973
<![CDATA[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.]]>
<![CDATA[Ensemble learning based fault detection using PMU data in imbalanced data condition ]]>
<![CDATA[Krishnan, Kiruthika]]>;
<![CDATA[Iyengar, Srivani]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp851-863
<![CDATA[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.]]>
<![CDATA[A novel fetal Doppler calibrator: enhancing the precision of fetal heart rate monitoring ]]>
<![CDATA[Fauzi, Ekha Rifki]]>;
<![CDATA[Setiyadi, Noor Alis]]>;
<![CDATA[Doungjan, Kamonthip]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp873-881
<![CDATA[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).]]>
<![CDATA[Artificial neural network-based predictive control for three-phase inverter systems with RLC filters ]]>
<![CDATA[Nabil, Iftissen]]>;
<![CDATA[Dali, Ali]]>;
<![CDATA[Abdelmalek, Samir]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp949-960
<![CDATA[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.]]>
<![CDATA[Energy saving of variable frequency drive in dust collector fan motors in the smelting process at the steel industry ]]>
<![CDATA[Turinno, Sarwo]]>;
<![CDATA[Facta, Mochammad]]>;
<![CDATA[Cahyadi, Cahyadi]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1399-1408
<![CDATA[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.]]>
<![CDATA[Direct torque control technique for BLDC motor drive in electric vehicle applications ]]>
<![CDATA[Chavhan, Sachin]]>;
<![CDATA[Kumbhar, Mahesh]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp817-826
<![CDATA[In the field of electric vehicles (EV), the hunt for the appropriate choice of motor and its control technique would be a never-ending process. The brushless DC (BLDC) motors are deployed in electric vehicles on account of higher efficiency, long life, compact size, and higher torque capacity in comparison to other types of motors. The recent advancements in power electronics have assisted in the deployment of BLDC motors in electric vehicles. These applications demand a control mechanism for the motoring mode as well as the regenerative braking mode. During the motoring mode, the power delivered to the motor is controlled, and during the regenerative braking mode, the charging of the battery takes place. Speed control strategy during motoring mode is essential to guarantee the required performance. This paper presents a direct torque control (DTC) technique for BLDC motor control for electric vehicles. The control technique and drive setup are developed to cater to the motoring mode as well as regenerative braking operation as desired for electric vehicles. MATLAB simulation and results are discussed for both modes of operation. Also, the dynamic response of the system is analyzed, which shows an average 1.1 ms response time for a 100 RPM change in speed during speeding up and 0.76 ms response time while speeding down.]]>
<![CDATA[Set up of a secondary on-board charger fed by PV DC station with grid injection for fast charging the recent city cars ]]>
<![CDATA[Arrach, Mohamed]]>;
<![CDATA[Tahiri, Fatima Ezzahra]]>;
<![CDATA[Lokriti, Abdesslam]]>;
<![CDATA[Chikh, Khalid]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp683-694
<![CDATA[In this article, we propose a secondary high-power charger provided by a photovoltaic source with grid connection. The high-power charger is composed of a phase shift full bridge (PSFB) DC-DC converter controlled by a constant voltage constant current algorithm based on PI control. The first stage is composed of a PV panel source, controlled by a fuzzy logic using a maximum power point tracking (MPPT) algorithm, associated with a synchronous boost converter to set up the voltage at the standard common 400 V bus level. While the charger is a second stage composed of a phase shift converter for step down and adapting the voltage and the charging current for the battery of the urban electric car. We have also proposed the grid connection with a simple optimization to inject the generated power into the electrical grid when no car is connected to the power station. To achieve this goal, simulation results of the proposed configuration control techniques by using the MATLAB/Simulink environment are presented and discussed at the end of this paper.]]>
<![CDATA[Economic and ecological constraints of hybrid systems with Bayesian networks ]]>
<![CDATA[Toure, Amadou Fousseyni]]>;
<![CDATA[Sissoko, Abdoulaye]]>;
<![CDATA[Danioko, Fadaba]]>;
<![CDATA[Tchoffa, David]]>;
<![CDATA[El Mhamedi, Abderrahman]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1314-1324
<![CDATA[To confront climate change and the shortage of fossil fuels, countries are turning to renewable energies, particularly solar energy, which is an abundant, inexhaustible energy with a low environmental impact. In Mali, hydraulic and thermal energy sources are insufficient, and the country has been facing a huge energy crisis in recent years. For this reason, the production of solar energy is a major solution. This work proposes a photovoltaic system coupled to the national distribution network to reduce this energy crisis or even resolve it definitively. A preliminary analysis was carried out to define the technical, economic, and ecological conditions for the construction of a 30 MW solar power plant at three interconnection points of the national distribution network of Mali. The objective of this analysis is to determine the economic and ecological constraints of the proposed hybrid system. For modeling, we used the Bayesian network, and for simulation, the BayesienLab simulation tool was used. The simulation results showed a considerable contribution of these three solar power plants in terms of energy deficits, economic deficits, and climate change.]]>
<![CDATA[Comparison of speed loop control methods for IPM motor in electric vehicles ]]>
<![CDATA[Thi Hoai Thu Anh, An]]>;
<![CDATA[Nhu, Tran Van]]>;
<![CDATA[Hieu, Tran Trong]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp719-727
<![CDATA[With its outstanding features, such as high efficiency and torque-producing capability compared with the induction motor, the interior permanent magnet synchronous motor (IPMSM) has been increasingly researched and used for electric vehicles. The speed control strategy for both low and high speeds of the IPMSM is studied in conjunction with controllers based on the field oriented control (FOC) structure to ensure accurate and stable system response under various operating conditions. This paper focuses on three control methods: sliding mode control (SMC), backstepping (BSP), and proportional integral (PI) for the speed loop to enhance system stability. Coupled with the presence of load disturbances, environmental disturbances, and uncertainties in parameters, comparisons and observations regarding the three methods can be made to conclude system stability and performance. Finally, simulation results on MATLAB/Simulink software confirm the effectiveness and validity of the proposed speed controllers.]]>
