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
Performance investigation of bridge-less power factor correction circuit with MOSFET
Khudur, Khaleel Ali;
Samad, Nabeel Mohamed Akram;
Hasan, Ghanim Thiab
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v14.i3.pp1368-1373
The aim of this paper is to study and investigate the performance of power factor correction (PFC) circuit implemented with the semi bridge-less configuration. The transistor-diode module APT50N60JCCU2 has been used in the proposed circuit and the UCC28070 controller has been used as a controlling device for the power factor correction (PFC) circuit. Testing has been performed in two steps. In the first step, the test was conducted on (230 Vac), while in the second step, the test was conducted on (115 Vac) as alternating input voltages. The testing results of both voltages were compared and analyzed in terms of efficiency, power factor, total harmonic distortion (THD) in order to determine the efficiency of the power factor correction circuit. The results obtained indicate that this circuit has efficiency up to 97% and a power factor close to 0.91 with the input voltage of 230 V.
Optimal design of BiCMOS second generation current conveyor using the genetic algorithm
El Beqal Asmae;
Benhala Bachir;
Zorkani Izeddine
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v14.i3.pp1624-1632
This article presents an innovative implementation of the plus-type second-generation current conveyor (CCII+) using BiCMOS technology, which combines the benefits of bipolar and CMOS technologies. The optimization problem of minimizing the X-port input resistance and maximizing the current cut-off frequency value was solved using genetic algorithm (GA). The proposed approach allows the optimization of the BiCMOS CCII+ to achieve better performance compared to previous designs. As a practical application, a second-order band-pass filter using the optimized BiCMOS CCII+ was successfully realized. The performance of the proposed design was evaluated using SPICE simulations and compared with previously published works. This study shows that the BiCMOS CCII+ can be effectively optimized using GA to improve its performance, which has potential applications in various analog and mixed-signal circuits.
Comparison of control strategies for thermoelectric generator emulator
Ayop, Razman;
Tan, Chee Wei;
Ayob, Shahrin Md;
Daud, Mohd Zaki;
Jamian, Jasrul Jamani;
Nordin, Norjulia Mohamad
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v14.i4.pp2094-2106
Thermoelectric generator (TEG) can directly convert heat energy into electrical energy. It improves the power efficiency of the energy generation system by converting the power loss in the form of heat produced during the generation process into additional electrical energy. The TEG emulator (TEGE) is a power converter that produces a similar current-voltage characteristic as the TEG. It is a valuable device used to develop and test the TEG-based energy generation system. Nonetheless, the research on the TEGE is still in the early stage. This paper proposed a proper, low-cost, and high-efficient TEGE design using the buck converter. The contribution of the paper covers the TEG model in the form of an array, the buck converter design tailored to the TEGE, and 4 new control strategies proposed for the TEGE. The control strategies are the direct referencing method (DRM), perturb and observed (PnO) method, resistance comparison method (RCM), and resistance feedback method (RFM). The conventional proportional-integral controller is used to maintain a smooth operation during transient and steady-state periods. The results show the merits or demerits for each proposed control strategy based on the accuracy, transient response, stability, overshoot, and efficiency.
Comparison between the multi-shaft and the single-shaft combined cycle power plants
Chaitrak, Kanticha;
Paoprasert, Naraphorn;
Anussornnitisarn, Pornthep
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v14.i4.pp2064-2071
A multi-shaft system has been adopted by power plants in Thailand for decades; however, for newer units, single-shaft systems have become more popular. This paper compared reliability measures—the system means failure rate, system mean repair rate, and system unavailability indices—between multi-shaft and single-shaft combined cycle power plants (CCPPs). The results showed that the long-term system availability of one multi-shaft CCPP was higher than each of the single-shaft units by 40.70%. In addition, the multi-shaft unit had a 42.14% longer mean time to failure (MTTF) than the single-shaft unit. Finally, the multi-shaft CCPP had 34.59% higher expected capacity than that of the single-shaft system.
Evaluation of the possibility of chaos for doubly-fed induction generator in wind power generation system
Van, Co Nhu;
Quang, Nguyen Phung;
Hai, Nguyen Thanh
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v14.i4.pp1965-1975
The doubly-fed induction generator (DFIG) has the advantages of compactness and low cost, so it has been applied more and more in practice. However, the structure of the DFIG system is complex, multivariable, nonlinear, and difficult to control. Chaos is a phenomenon that only occurs with nonlinear dynamical systems, sensitive to initial conditions and aperiodic but it is governed by deterministic laws, unlike random perturbations. For most powertrain systems, chaos causes disadvantages, reduce performance, and even destruction of the system. By method of analysis based on theory and simulation, the paper will demonstrate the chaotic phenomenon for DFIG when the parameters of the system change into a certain value. From that set of parameters, the controller is designed to avoid or eliminate that chaotic behavior, so that the system works more reliably and with better quality.
Design of a linearized 4-H-bridge STATCOM for load balancing purposes
Obais, Abdulkareem Mokif;
Mukheef, Ali Abdulkareem
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v14.i4.pp2080-2093
In this paper, a 4-H-bridge STATCOM (4-HB STATCOM) is introduced. Four H-bridges are cascaded to build the proposed STATCOM. Cascading the H-bridges makes it possible to operate the devised STATCOM on high voltage levels with less voltage harmonic association. The proposed STATCOM is equipped with an adaptive current controller and a voltage balancing technique for its DC capacitor voltages. The adopted controlling strategy makes the STATCOM respond continuously and linearly to current demand in both inductive and capacitive operational modes without noticeable association of harmonics. The DC capacitor of each H-bridge is shunted by a second harmonic filter to stabilize its voltage. The proposed STATCOM does not require initial charging of its DC capacitors because it is provided with a utilized technique for charging them rapidly by disabling the STATCOM carrier for a certain period sufficient to build up the required level of DC voltages. In this work, the proposed STATCOM is designed to operate on 11 kV AC voltage as a continuously and linearly controlled compensating susceptance. It can deservingly be employed in load balancing systems for achieving big amount of energy savings in power generation and big reduction in transmission losses.
Sliding mode controller with fuzzy supervisor for MPPT of photovoltaic pumping system
Taleb Hamdi;
Khaled Elleuch;
Hafedh Abid;
Ahmed Toumi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v14.i3.pp1639-1650
This paper focuses on a photovoltaic system for pumping water. The control strategy for this water pumping system is based on Takagi-Sugeno type fuzzy supervisors and sliding mode controller. The first generates the maximum power point current under varying climatic condition whereas the second allows tracking the reference signal produced by the fuzzy supervisor. The system includes a photovoltaic generator (PVG) followed by a DC-DC Converter, DC bus, an AC/DC inverter which is connected to the induction motor. This latter is coupled with a centrifuge pump. The induction motor is driven based on field-oriented control strategy. The Takagi-Sugeno type fuzzy supervisor predicts, depending on the variations of climatic variables such as irradiation and temperature, the optimum operating point for the photovoltaic source. The simulation results show the effectiveness of the proposed approach in transient and stationary regimes for different values of climatic variables.
Model predictive control using Euler method for switched-battery boost-multilevel inverter
Ahmad Takiyuddin Abdullah;
Sevia Mahdaliza Idrus;
Shahrin Md Ayob
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v14.i3.pp1497-1508
This paper presents the model predictive control (MPC) design using the backward Euler method for an 11-level switched-battery boost multilevel inverter (SBBMLI). The SBBMLI was proposed as the cost-effective solution for the communication power line in a high-speed rail (HSR) system. Initially, a generalized SBBMLI problem formulation was performed, and an open-loop simulation based on voltage and current mode controls was conducted. The finite control set-model predictive control (FCS-MPC) ability to track the reference sinusoidal output with low total harmonic distortion (THD) was then assessed as a performance criterion. Furthermore, the performance was assessed based on no-load and load disturbances. Finally, the results proved the ability of the proposed FCS-MPC to address non-linear dynamics, constraints, and its efficiency of implementation.
Dynamic programming-based control system development for advanced electric power drive
Swapnil Ramesh Wadkar;
Sudhir Madhav Patil;
Maneetkumar R. Dhanvijay;
Kiran Ashokrao Chaudhari;
Atul Vasant Karanjkar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v14.i3.pp1356-1367
An efficient method for raising the effectiveness and performance of fuel cell electric vehicles (FCEVs) is the dynamic programming controller (DPC). By using real-time data to optimize the control inputs, FCEVs can achieve higher levels of efficiency and reduce their environmental impact. The DPC algorithm works by solving an optimization problem at each time step, based on the current state of the vehicle and its environment. The optimal control inputs are then applied to the vehicle to achieve the desired performance criteria. This paper presents the study that utilized MATLAB/Simulink to design, model, and simulate DPC for a FCEV. Controlling various components of the fuel cell (FC) with the optimum power requirement is needed for increasing the performance and mileage of the FCEV. It's important to use FC energy as effectively as possible. Having supervisory control over the FCEV's energy consumption and battery charging is necessary for it to produce this output at its best. To use the hydrogen efficiently, a control strategy is designed for energy management in FCEV. The designed control strategies are implemented through simulation using Simulink in MATLAB. The results show prominent performance of dynamic programming (DP) over rule-based controllers.
A state of the art a hybrid intelligent strategies of maximum power point tracking: a systematic contemporary
Abbas Fakhri Shalal;
Mohanad Aljanabi;
Ali Najah Al-Shamani;
Ahmed Hussein Duhis
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijpeds.v14.i3.pp1768-1780
Renewable energy sources are among the best substitute sources to fossil fuel due to it is very suitable for mitigating global warming; solar energy is considered the main causes of renewable energy, and solar photovoltaic (PV) generation systems have gained importance worldwide due to several characteristics, including cheap maintenance, low noise, and low fuel costs. However, one of the most difficult challenges facing solar energy systems is changing weather circumstances. The robust control approach stabilizes the PV system's output and maximizes harvested energy. In this study, several maximum power point tracking (MPPT) performances have been presented. Among them, artificial intelligence (AI) based on MPPT methods demonstrates the ability to capture the MPP point. There are several ways to apply AI to MPPT, and this paper presented various intelligent MPPT methods in detail with their benefits and drawbacks and comparison among them to select which technique is suitable and can be used to change weather conditions with horse optimization method (HOM) plus neural artificial system (NAS).