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International Journal of Power Electronics and Drive Systems (IJPEDS)
ISSN : -     EISSN : 20888694     DOI : -
Core Subject : 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 2,660 Documents
Analysis of interior rotor for high-speed brushless DC motor using finite element method Abdullah, Nurfaezah; Karim, Kasrul Abdul; Othman, Raja Nor Firdaus Raja; Jidin, Auzani; Sutikno, Tole
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp1919-1928

Abstract

The permanent magnet of brushless DC (BLDC) motor is ideally suited for high-speed application due to its superior performance and efficient as compared to other types of electrical motors. However, to operate in high-speed operation, the rotors that hold the magnet must be able to withstand high centrifugal force. Due to that, the main objective of this project is to design and develop the suitable rotor for high-speed BLDC motor through the finite element method (FEM) Ansys Maxwell modeling software. In addition, this project is also carried out to determine the ability of the modeled software to reach the high-speed performances in terms of cogging torque and induce voltage. In this project, the selected BLDC motor was fabricated and measured experimentally. The result showed that the designed rotor can achieve speed of almost 14,500 rpm.
Enhancing the performance of radial distribution systems via optimal integration of electric vehicles Rabie, Afaf; Ghanem, Abdelhady; Kaddah, Sahar S.; El-Saadawi, Magdi M.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2514-2526

Abstract

Electric vehicles (EVs) and their associated charging stations (CSs) are a promising avenue for greenhouse gas reduction and energy security. However, improper location and size of the EV charging station (CSs/EVs) negatively affect the power system. It results in some technical challenges such as increased real power-loss, decreased voltage stability and increased voltage deviation. This paper suggests optimum planning of CSs/EVs locations to conserve voltage, improve power-loss and reduce the effect of CSs/EVs in electrical distribution systems. The multi objective genetic algorithm method (MOGA) is utilized to solve the optimization problem and reduce the impact of the random location of CSs/EVs. The simulations are performed on IEEE 33-bus and IEEE 69-bus radial distribution systems (RDS). In addition, the optimal EV allocation is carried out with two fixed levels of loading from 100% to 150% of the candidate EV load. A comparison between the proposed MOGA technique and other optimization techniques is carried out. The results demonstrated the capability of the proposed technique for optimal placement of CSs/EVs in RDS. Moreover, it is providing an objective value to solve a complex multi-objective nonlinear optimization problem to reduce the total power-loss, improve the voltage profile and extend the voltage stability.
A new brushless DC motor driving resonant pole inverter optimized for batteries Rao, Kambhampati Venkata Govardhan; Kumar, Malligunta Kiran; Goud, Srikanth B.; Devi, Tellapati Anuradha; Rao, Gundala Srinivasa; Giriprasad, Ambati; Prashanth, ISNVR; Kalyani, Thalanki Venkata Sai
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2021-2031

Abstract

The brushless DC motor (BLDC) has gained significant popularity in industrial settings due to its notable attributes such as low inertia, rapid response, high power density, exceptional dependability, and reputation for being conservation-free. Typically, these are equipped by a tight-switching PWM inverter, which results in significant switching losses. Consequently, the dissipation of switching loss necessitates the use of sizable heat sinks, resulting in an increase in both the physical dimensions and mass of the drive system. Numerous researchers have developed soft switching inverters with the aim of minimizing switching losses. The utilization of a soft-switching circuit may give rise to additional issues, including heightened voltage stress, incomplete pulse width modulation control, and intricate control scheme or implementation. The present study introduces a basic soft switch inverter design that is suitable for employment in BLDC drive systems powered by batteries. The inverter exhibits low loss for power switching and voltage stress is less on the main switches, while also featuring a straightforward control scheme that is easily implementable. Upon conducting analytical analysis, simulation results were presented by evaluating the theoretical analysis.
Machine learning based cascaded ANN MPPT controller for erratic PV shading circumstances Sreedhar, R.; Karunanithi, Kandasamy; Ramesh, Subramanian
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2447-2456

Abstract

Power generation is challenged to meet energy demand during peak hours. As a result of limited non-renewable energy resources, power utilities heavily rely on fossil fuels. Therefore, scientists and researchers are looking for some distributed generators to provide additional power during peak hours. During such period, load demand is solved using solar power. As a consequence, grid-connected solar Photovoltaic (PV) systems are catching the attention owing to their ability to significantly reduce the use of fossil fuels. Under Partial Shading Condition (PSC), this paper utilizes Luo Converter along with Cascaded Artificial Neural Network (ANN), which is a Machine Learning Based Maximum Power Point Tracking (ML-MPPT) approach for tracking optimal power from PV system. The gained DC supply is converted into AC voltage using  VSI attached to the system. In addition, PI controller engaged controls the voltage at grid side and results in effective grid synchronization. Furthermore, MATLAB Simulink analysis is carried out and the outcomes reveal the effectiveness of proposed system with 98% efficiency under different PV circumstances.
Active disturbance rejection control of an islanded PV/wind/battery microgrid with power quality enhancement by SAPF Youssef Oubail; Imad Aboudrar; Mohamed El hafydy; Elmoutawakil Alaoui My Rachid; Elmahni Lahoussine
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i3.pp1660-1674

Abstract

The focus in this study is on an islanded microgrid based on hybrid renewable energy sources and storage systems. This latter is considered as an essential element for all off-grid autonomous systems to offer a reliable and stable operation. The proposed system is composed of a photovoltaic system, a wind power system based on a synchronous generator and a storage system. The proposed control strategy is intended to control, through the load side converter (LSC), the AC bus voltage in terms of amplitude and frequency under different operating conditions, and to obtain, through the bi-directional battery side converter (BSC), a better regulation between the available production and the global load demand. The proposed strategy also contributes to the power quality improvement in the AC bus by controlling the PV inverter to work as a shunt active power filter to provide the required harmonic current component to non-linear loads. A new robust control strategy for internal current and voltage control loops is proposed in this research paper, it’s the active disturbance rejection control (ADRC) and it is based on the extended state observer which allows to estimate all disturbances affecting the control, such as modeling errors and parameter variations.
Implementation of a modified carrier-based PWM technique for a cascaded MLI using DSP microcontroller Youssef Babkrani; Gourmaj mourad; Ahmed Naddami; Karim Choukri; Sanaa Hayani Mounir
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i3.pp1523-1533

Abstract

A multi-level converter is a power electronic device desired to generate a desired AC voltage level using several introduced DC voltages, the output voltage of the converter is characterized by a low harmonic content (THD) compared to conventional inverters. The adopted innovative design permits the independent control of PV modules, enabling, in this way, to operate independently and won’t be very affected by intermittence. Additionally in this paper, a new control strategy based on sinusoidal pulse width modulation (SPWM) technique is analyzed for cascaded H-Bridge inverter. In this new technique, separate modified carriers are used for each H-Bridge (HB). Multiple-carrier SPWM is used with the new control SPWM technique. Those carriers are being implemented with diverse sinusoidal dispositions phase disposition (PD), phase opposition and disposition (POD), alternative opposition and disposition (APOD), and with altered frequencies. Experimental results are obtained while using different operating conditions.
Power factor correction AC-DC boost converter using PI-hysteresis current control Mariam K. Shehata; Hossam Eldin Mostafa Attia; Basem E. Elnaghi; Nagwa F. Ibrahim
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i3.pp1597-1603

Abstract

The AC line input voltage is frequently rectified by single-phase diode rectifiers and filtered using sizable electrolytic capacitors. The capacitor draws current in brief pulses, so harmonics distort the line current, resulting in high losses. Harmonics and line current distortions harm the unity power factor and efficiency. This article adopts a simple single-stage AC-DC converter with a high-power factor and low total harmonic distortion. The PI hysteresis current control was utilized to reduce the total harmonic distortion and increase the power factor at full load. The PI controller was added to the outer voltage loop to regulate the output voltage. Ziegler-Nichol's tuning method was used to determine the controller gain levels. Simulation results were obtained for the AC-DC converter at a constant switching frequency to show the benefits of the proposed control method, which has a low total harmonic distortion and a high-power factor compared with cases without a controller. The proposed control method is accurate and efficient for achieving the power factor correction converter. Besides, the proposed control was stable during dynamic and steady-state responses.
A special method for simultaneous optimization of electrical grid interconnections and cable size in wind farms Fareed Kadhim Hussein Al-Khafaji; Ali Abdul Hussein Kareem Al Humaidani; Adiy Aljaberi; Iman Mohammed Abd Zaid
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i3.pp1809-1815

Abstract

Modern wind farms are considered one of the most important sources of energy today. The biggest cost of the farm is the cost of electrical connection to the farmers (constituting the largest part of the aesthetic cost of the farm) and finding the best method for electrical connection (the optimal method) for wind turbines (WTS), as well as the optimal size and measurement of electrical cables. Here, the (harmonious) search algorithm solves the optimization problem and the method of digging the soil in order to lay the cables in it. Two cases will be discussed in order to calculate the optimal size of the cables, namely partial calculation and optimal calculation for connection schemes in the best method for wind farms (OWFS). Also, the total cost, shipping methods, methods of digging extensions into the soil and the different classifications for turbines (wind turbines) will be addressed in order to obtain the best investment for them, so that we reach the optimal delivery and the lowest possible cost in a coordinated and thoughtful manner.
Low-cost platform for real time data acquisition and fractional control with application to a DC motor Berkani, Hemza Abdel Fettah; Keziz, Bouziane; Lashab, Mohamed; Djouambi, Abdelbaki; Kerouche, Abdelfetah
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2072-2079

Abstract

This paper presents a low-cost experimental platform for real time data acquisition, identification and fractional order control of some low dynamic systems using Arduino-Simulink interface. As a demonstrative example, a DC motor is considered and modeled as a first order plus time delay plant (FOPTD) using data acquisition-based Arduino setup. Then, simple analytical rules are used to design a robust fractional order controller (FOC) which required a high-performance computing. Several validation tests have been carried out using Arduino–Simulink interface. The comparison between the theoretical simulation and the experimental tests confirms that the proposed interface can be used to support research and teaching of feedback control systems using experimental tests and low-cost laboratory kit.
A novel and effective method based deep learning model for detecting non-technical electricity losses Baldawi, Israa Mohammed Ridha; İnan, Timur
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2464-2473

Abstract

This study focused on non-technical electricity loss detection. As mentioned, non-technical losses (NTLs) affect utilities and economies financially. Electricity theft, fraud, and metering issues can create NTLs. NTL generate most distribution losses in electrical power networks, costing utilities a lot. NTL detection approaches are data-focused, network-oriented, or hybrid. Data-oriented writing dominated this analysis. After data collection and cleaning and labeling the unlabeled dataset with a target, a methodology was supplied that used four machine learning techniques random forest, decision tree, KNN, and logistic regression and four neural network models-DNN, CNN, CNN-LSTM, and CNN-GRU. The CNN and DNN model have the best accuracy, stability, fast learning, and training time.

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