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.
Articles
2,660 Documents
<![CDATA[Optimizing performance parameters of stationary wire free power transfer circuit ]]>
<![CDATA[Raja Vidya]]>;
<![CDATA[Belur K. Keshavan]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v14.i3.pp1309-1321
<![CDATA[The power efficiency of the wire free power transmission (WPT) system is tested in this article under various transmission distance circumstances, and the findings are utilized to investigate the best way to regulate the parameters for charging electric vehicles (EVs). The system`s power transfer efficiency is improved over using a fixed resonant frequency by altering it in response to changes in the coupling coefficient. In relation to resonance frequency, a trade-off between output power magnitude and power efficiency is also revealed. Through numerical simulation with Ansys, the trade-off resonant frequencies at various transmission lengths are determined by the analysis. Here, the transmitter and receiver employ circular coils with a circular cross-sectional area and a straightforward but effective series-series (SS) compensation architecture is used for comprehensive analysis.]]>
<![CDATA[Modelling and control of grid connected microgrid with hybrid energy storage system ]]>
<![CDATA[Suganthi Neelagiri]]>;
<![CDATA[Pasumarthi Usha]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v14.i3.pp1791-1801
<![CDATA[This paper presents a photovoltaic (PV) microgrid with battery and super capacitor hybrid energy storage systems. The proposed microgrid system is designed for both grid connected and standalone mode with coordinated control-based energy management system, which controls DC link voltage, voltage and frequency balance at point of common coupling. DC link voltage control is implemented using dual loop PI controller-based voltage controller and inverter control is based on D-Q reference frame technique. The microgrid system is demonstrated in MATLAB/Simulink. The presentation of the planned energy supervision system is analyzed for varying generation and load condition. In the proposed microgrid the battery energy storage system is utilized to provide long term energy during average power requirement and supercapacitor energy storage system is utilized to provide short term power requirements during sudden load variation, generation variation and during transition of modes. Designed energy management system performs effectively in grid connected mode, standalone mode with smooth transition between the modes. And it maintains dc bus voltage of the microgrid constant irrespective of load and generation variations and also during mode changing conditions.]]>
<![CDATA[Artificial intelligence of optimal real power dispatch with constraints of lines overloading ]]>
<![CDATA[Abdesselam Abderrahmani]]>;
<![CDATA[Nasri Abdelfatah]]>;
<![CDATA[Gasbaoui Brahim]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v14.i3.pp1885-1893
<![CDATA[In the literature on optimal power flow (OPF), it has been shown that the suggested ways offer a higher degree of satisfaction in optimizing overall production costs while fulfilling power flow equations, system security, and equipment operational constraints. Despite this, the overloaded of the transmission lines are taken as a performance index but not a primary constraint. This article presents an improved approach to artificial intelligence algorithms of optimal real power dispatch with the security of lines; the main difference concerning our point seen relies on the additional penalization of the choices, which does not respect this constraint. The problem is implemented in the IEEE 14-bus system with "5" generator units. The results of the simulations of the metaheuristic algorithms without/with constraint (overloaded lines) were compared. Furthermore, this article suggests hybridizing ant colony optimization (ACO) and genetic algorithm (GA) as a means to enhance the optimization performance of these algorithms. This hybridization involves using ACO to generate a set of initial solutions, which are then refined using GA. The compound results obtained by the ant system-genetic algorithm hybrid (H-ASGA) for the problem of overloaded lines validated its potential.]]>
<![CDATA[A statistically analysis to determine the use of renewable sources for campus lighting, case study of technical faculty of Kosova ]]>
<![CDATA[Bylykbashi, Blerina]]>;
<![CDATA[Abdullahu, Fitore]]>;
<![CDATA[Hoxha, Bukurije]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v14.i4.pp2372-2378
<![CDATA[Considering the ever-increasing demand for electricity and the current crisis in this sector, various ways of generating electricity have been studied. Most of them are based on hybrid technologies as a solution to replace the relevant resources during the absence. In Kosovo, as an economically poor country, such technologies are rarely used. Public lighting in some countries is still considered unaffordable due to high cost. This study further demonstrates an environmentally friendly option for power generation using hybrid PV and Wind systems. The current study presents the study that was carried out on the campus of the technical faculty in Pristina. The analysis has been done analytically, which has resulted in the need for 6 hybrid lighting systems to achieve a coverage of the lighting needs, which so far lacks lighting in this part of the campus. A total of 461,448 kWh can be generated during the year from the wind turbine system and 796.11 kWh from the solar photovoltaic system. Considering that we have an ever-decreasing cost of such devices and from the analysis done it results that these systems are cost effective and ideal solutions for such cases and similar needs which are vital needs today.]]>
<![CDATA[Impact of integration of renewable energies and energy efficiency on the reliability of the national electricity grid ]]>
<![CDATA[Karmich, Saida]]>;
<![CDATA[Ziani, El Mostafa]]>;
<![CDATA[Bouchnaif, Jamal]]>;
<![CDATA[El Malki, Mohamed]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v14.i4.pp2433-2446
<![CDATA[This article consists of studying the reliability of the Moroccan electricity grid as well as verifying the plan of production for 2030. To propose an adequate production plan for 2050, a production plan where renewable energies take a large place in the production park. Our objective is the planning and optimization of the Moroccan energy system with a strong integration of renewable energy sources or even 100% integration by guaranteeing the reliability of the electrical system. In this study, we evaluated the reliability of the Moroccan electricity grid in the presence of renewable electricity production based on the energy plan simulator supplemented by Monte Carlo simulations based on probabilistic approaches. The first part of this work consists of projecting demand for 2030-2050 and studying the impact of energy efficiency on forecasts. In the second part, we integrated the existing means of production and the projected demand on energy plan. In the third part we studied the reliability of the Moroccan electricity grid in the presence of the production of wind, solar photovoltaic (PV) and concentrated solar (CSP) electricity according to different stages of study (from 2017 to 2050).]]>
<![CDATA[Performance analysis of a robust MF-PTC strategy for induction motor drive ]]>
<![CDATA[Hossen, Md. Belal]]>;
<![CDATA[Habibullah, Md.]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i1.pp251-260
<![CDATA[The load model-based conventional predictive torque control (PTC) strategy performs as a high-performance controller at transient and steady-state conditions. However, its performance is poor on the issue of parameters variation. A robust model-free PTC (MF-PTC) strategy has been proposed in this paper to overcome the aforementioned drawback. An auto-regressive exogenous (ARX) model instead of a load model has been used to establish a model-free controller. This model is usually formed based on their input-output transfer function. A recursive least square algorithm has been employed to estimate the unknown parameters of the ARX model. Then, an observable canonical state-space model uses those estimated parameters to achieve an accurate prediction of the control variables. The performance of the proposed scheme can be affected by the variation of resistance. A resistance estimator based on the model reference adaptive system observer has been applied to improve the robustness of the system against variation of the stator and rotor resistance, and inductance measurement uncertainty. Simulation results show that the proposed MF-PTC scheme is robust against parameters uncertainty and works well at transient and steady-state conditions.]]>
<![CDATA[Solar-powered seaweed powder milling: enhancing value in the blue economy ]]>
<![CDATA[Nugraha, I Made Aditya]]>;
<![CDATA[Desnanjaya, I Gusti Made Ngurah]]>;
<![CDATA[Luthfiani, Febi]]>;
<![CDATA[Idrus, Muhamad Amril]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1810-1817
<![CDATA[Design and build a seaweed powder milling machine with the blue economy concept is one form of increasing the added value of selling seaweed in Indonesia and utilizing solar energy which is so abundant in Indonesia by using photovoltaic system. This machine is expected to increase the income of seaweed cultivators, and indirectly support the blue economy policy which is one of the policies in Indonesia. Design and build this machine using several supporting components, such as solar panel, battery control unit (BCU), inverter, battery, and motor to drive the seaweed powder milling machine. Testing is carried out by measuring the voltage and current output, and adding environmental conditions. Apart from that, the economics of the machine are also analyzed. Based on the results obtained, the machine can produce electrical energy in the range of 396.95-646 Wh/day, and can operate for up to 131 minutes, with a seaweed flour output of 10-20 kg per hour. From an economic perspective, the payback period is 0.22 years, NPV of IDR 605,286,359.01, with an IRR of 449%. From this value it can be seen that economically the tool is profitable if used by seaweed cultivators.]]>
<![CDATA[Automatic transfer switch for DC system application ]]>
<![CDATA[Hidayat, Mohammad Noor]]>;
<![CDATA[Wijaya, Wildan Surya]]>;
<![CDATA[Putri, Ratna Ika]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i1.pp386-394
<![CDATA[Automatic transfer switches (ATS) have the potential to be important in ensuring uninterruptible power supply across a wide range of sectors, enabling smooth transitions between utility and emergency RES power sources, generators, and more. Utilizing DC electricity provides a cost advantage and is suitable for short-distance transmission. The author proposes a 12-volt DC backup system that corresponds to a minimum input voltage of more than 10 Vdc and can be applied in various DC load applications. The ATS design incorporates multiple inputs and uses algorithms to prevent simultaneous operation of all sources and reduce feedback. These developments in backup system technology, coupled with the shift to renewable energy, are contributing to the creation of a sustainable and resilient electricity grid. In experiments, the ATS system demonstrated its ability to provide 24 hours of backup power with a specified load (lighting bulbs, light-emitting diodes (LEDs), motors, and fans) discharging 0.27–2.25 Amperes. Using the millis programming language, it supports the performance of a constant switch transition speed of around 0.6453 seconds for a switch from buck to SCC. 0.658 seconds for solar charge controller (SCC) to power supply (PSU), 0.656 seconds for PSU to CC PSU, and 0.61 seconds for PSU to OFF.]]>
<![CDATA[AC to DC bridgeless SEPIC converter-based fuel cell emulator ]]>
<![CDATA[Prajapati, Ashish]]>;
<![CDATA[Gupta, Tripurari Das]]>;
<![CDATA[Chaudhary, Kalpana]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1651-1661
<![CDATA[Fuel cell (FC) technology is still in a growing phase and intensive research is required for its wider applications. However, the high cost of the FC stack is a major hurdle for researchers. This paper presents a new method of FC emulation done by using a Bridgeless SEPIC converter (BSC). The key features of the designed emulator are single stage AC-DC conversion, improved efficiency and nearly unity power factor at the input side. AC-DC BSC is controlled by using the coded model to emulate the behavior of FC. The emulated FC exhibits all three characteristics activation losses, ohmic losses, and concentration losses during operation. The MATLAB/Simulink background is used to implement the FC model and compile it into a C program. The real-time mathematical model is implemented by using a DSP(TMS320F28335) controller. Analysis, modeling, and control strategy of emulated FC are presented, static and dynamic behavior is validated through the 950W laboratory developed prototype.]]>
<![CDATA[Performance evaluation of BLDC motor drive mounted in aerial vehicle (drone) using adaptive neuro-fuzzy ]]>
<![CDATA[Rao, Gurrala Madhusudhana]]>;
<![CDATA[Prasanna, B. Lakshmi]]>;
<![CDATA[Rayudu, Katuri]]>;
<![CDATA[Kondaiah, Vempalle Yeddula]]>;
<![CDATA[Thrinath, Boyanasetti Venkata Sai]]>;
<![CDATA[Gopal, Talla Venu]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i2.pp733-743
<![CDATA[The development of autonomous drones equipped with cameras and various sensors has paved the way for their application in agriculture and perimeter security. These aerial drones require specific power, acceleration, high torque, and efficiency to meet the demands of agricultural tasks, utilizing built-in brushless DC (BLDC) motors. However, a common challenge drone’s face is maintaining the desired speed for extended periods. Enhancing the performance of BLDC motors through advanced controllers is crucial to address this issue. This research paper proposes optimizing the size and speed of brushless DC motors for aerial vehicles using an adaptive fuzzy inference system and supervised learning techniques. When these drones carry loads, the BLDC motors must dynamically adjust the drone's speed. During this phase, the motors must control their speed and torque using artificial intelligence controllers like adaptive neuro-fuzzy inference systems (ANFIS) to enhance the drone's functionality, resilience, and safety. This research has conducted analyses focused on improving the performance of BLDC motors explicitly personalized for unmanned aerial vehicle (UAVs). The proposed method will be implemented using MATLAB/Simulink, expecting to significantly enhance the BLDC motor's performance compared to conventional controllers. Comparative analyses will be conducted between traditional and ANFIS controllers to validate the effectiveness of the proposed approach.]]>
