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[Early degradation factors of solar 33 kV grid connected power plant, a comparative study ]]>
<![CDATA[Elhassene, Issa Cheikh]]>;
<![CDATA[El Heiba, Bamba]]>;
<![CDATA[Taha, Mohammed Qasim]]>;
<![CDATA[Mahmoud, Teyeb Med]]>;
<![CDATA[Aoulmi, Zoubir]]>;
<![CDATA[Youm, Issakha]]>;
<![CDATA[Mahmoud, Abdelkader]]>
<![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.pp442-453
<![CDATA[This paper identifies and analyses early degradation mechanisms observed in photovoltaic (PV) modules of power plants over 7 years of operation on the coast power grid in Mauritania. Performance degradation takes place due to several reasons such as material degradation following dust accumulation, high temperature, and humidity. Also, mismatch of electric power parameters such as increasing loads above projected values of the plant. Therefore, this paper analyses and studies the degradation in four phases. First, the visual inspection detects the degradation of materials and defects such as the presence of dust, cracks, browning (discoloration), and connection corrosion. The second phase proposes a mathematical model to calculate the early degradation rate (DR) of different components, such as short circuit current (Isc), open circuit voltage (VOC), the maximum yield power (Pmax), and the fill factor (FF) of the PV module. The third phase is a MATLAB modeling of the measured real-time data of the operating PV system to test Power versus voltage curves (with and without degradation) to examine the presence of failure of PV modules. Finally, compare the evolution of real-time production data for three measured years (2015, 2016, and 2017) with the simulation curves of this study.]]>
<![CDATA[Design an optimal robust integral signum of the error controller for electrical vehicle based on salp swarm optimization algorithm ]]>
<![CDATA[Jassim, Arkan A.]]>;
<![CDATA[Karam, Ekhlas H.]]>;
<![CDATA[Ali, Mohammed Moanes E.]]>
<![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.pp1369-1378
<![CDATA[The electric vehicle (EV) has nowadays become a suitable alternative to clean and sustainable energy emissions in transportation, so researchers have become interested in modeling and controlling the electric vehicle.in this paper, an optimal robust integral signum of the error (ORISE) controller is designed to control the actuator speed of an electric vehicle. The actuator type of this vehicle is three-phase induction motor (IM). By reducing the discrepancy between the desired and actual output, the standard salp swarm algorithm (SSA) is utilized to find the optimal suggested ORISE parameter. The suggested controller tested by different desired velocity trajectory. Simulation results demonstrate that the ORISE have high performance, fast and accurate tracking for the EV speed, compare with PID controller that the output speed suffer from chattering and has higher oscillation. In particular, the SSA-based ORISE controller is superior to the proportional-integral-derivative (PID)-based SSA method in terms of no steady-state error and smallest overshoot (0.002% with ORISE while 0.05% with PID) prevention for electric vehicle (EV) speed despite the better results of settling time and rising time obtained in PID (1.532 s and 0.785 s) respectively while these values were (1.574 s and 1.915 s) respectively, in ORISE. The MATLAB (R2020a)/Simulink environment is used for all projects.]]>
<![CDATA[Effects of integration of distributed generation on reliability in distribution system ]]>
<![CDATA[Jayappa, Rudresha Sogilu]]>;
<![CDATA[Basappa, Marulasiddappa Hallikeri]]>;
<![CDATA[Ramaiah, Kirankumar Gama]]>;
<![CDATA[Rajappa, Gopinath Harsha]]>
<![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.pp498-505
<![CDATA[The reliability of power supply to consumers is the main factor that is to be considered while designing, planning and operation of a distribution network. This problem can be solved by incorporating distributed generation (DG) at the consumer side itself. In order to enhance service availability, power quality, reliability, and loss reduction, DG is positioned optimally at the consumer end within the system. The optimal DG location and size is to be calculated in such a way that the total loss in the system should be minimal and cost savings should be maximal. In this study, for the investigation of effects of DG on reliability of distribution system, a practical 11 KV feeder with 41-bus, was employed. The selected practical feeder is modelled using the power world simulator (PWS) software and reliability of the system is verified by calculating various reliability indices such as system average interruption frequency index (SAIFI), system average interruption duration index (SAIDI), customer average interruption duration index (CAIDI), average system utility index (ASUI) and average service availability index (ASAI). After applying proposed loss sensitivity factor (LSF) method, the active and reactive power loss reduction are 41.30 % and 38.64 % respectively, least bus voltage is enhanced to 0.9405 pu from 0.8978 pu and the reliability indices are also improved.]]>
<![CDATA[A level shift carrier based SPWM for reduced switch 5-level multilevel inverter topology ]]>
<![CDATA[Nagarajappa, Champa Patanegere]]>;
<![CDATA[Deshpande, Abhay Anandarao]]>
<![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.pp1583-1593
<![CDATA[Multilevel inverters (MLI) seek attention from many researchers these days for high/medium power industrial applications because their output power quality is better than 2-level inverters. This research work presents a detailed comparative analysis of multicarrier level shift (LSPWM) technique implemented on five level conventional and modified multilevel inverters in MATLAB/Simulink software. With the aim of decreasing number of gate drives, switching devices, and DC sources there is a greater focus on emerging multilevel topologies, even though majority of traditional topologies are employed in important application. MLIs have bright future in industry-focused applications, but their size, cost, device count, and switching complexity have hindered their commercial acceptance. Researchers are always creating next generation topologies, or reducing the components and switches used in (RSC) MLIs, to illustrate the shortcomings of MLIs. Conventional five level inverter uses eight semiconductor switches, eight driver circuit and suffers from switching complexity while the proposed symmetrical 5-level smart MLI topology offers reduced quantity of switching elements, gate driver circuits, low cost, space requirement, low dv/dt stress, low switching losses over the traditional topology. The effect of % output harmonic contents are analyzed with phase-disposition and phase-opposition disposition technique for different loads.]]>
<![CDATA[Optimizing photovoltaic systems performance under partial shading using an advanced cuckoo search algorithm ]]>
<![CDATA[Benlafkih, Abdessamad]]>;
<![CDATA[El Moujahid, Yassine]]>;
<![CDATA[Hadjoudja, Abdelkader]]>;
<![CDATA[El Harfaoui, Nadia]]>;
<![CDATA[Said, El-Bot]]>;
<![CDATA[El Idrissi, Mohamed Chafik]]>
<![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.pp845-857
<![CDATA[Partial shading negatively impacts power output in photovoltaic systems (PVs), causing multiple local maximum power points (LMPP) instead of a single global maximum power point (GMPP). The cuckoo search (CS) technique utilizes the maximum power point tracking (MPPT) technique to extract the global maximum power (GMP) from shaded PVs. CS is a metaheuristic technique that has gained widespread recognition. Moreover, the CS algorithm is associated with several challenges, including a failure rate, long response time, and noticeable oscillations during steady-state operation. To address these limitations, our proposed advanced cuckoo search (ACS) algorithm is designed to overcome the shortcomings of the standard CS algorithm. The algorithm iteratively evaluates individual solar panels and collectively explores the solution space using levy flight operations. Persistent variables are used to store and track the current state and previous iterations. Where the duty cycles of the solar panels are optimally set to enhance the overall power generation efficiency. We also evaluate and analyze the results obtained from the performance of our proposed technique and compare them to the performance of the four most recent CS optimization techniques. for all test cases, the tracking efficiency was improved to 99.98% with a fast-settling time of <44 ms.]]>
<![CDATA[Investigation of 1.5 kW secondary side power controlled method in a inductive wireless power transfer system ]]>
<![CDATA[Bhavsingh, Bhukya]]>;
<![CDATA[Gotluru, Suresh Babu]]>;
<![CDATA[Bhukya, Mangu]]>;
<![CDATA[Bhukya, Ravikumar]]>
<![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.pp670-684
<![CDATA[The contemporary and utilitarianism of the existing consumer world is advancing towards the better world technical benefits in the electrical world such as wired phase to wireless phase utilizing its volatile features. This paper addresses the battery performance in constant current (CC), constant voltage (CV) through inductive wireless power transfer (IWPT) systems. To analyze this workable mode, the researcher has proposed the series-series (S-S) compensation topology which is load independent current output. While charging the battery through wireless, the coil resistance is found to be affected by the battery's current and power. To figure out a practical solution, the researcher has introduced novel closed loop bi-directional switches with duty cycle control. The existing theoretical and simulated results have been analyzed with 1.5 kW, 120 mm air-gap and 85 kHz frequency. In this connection, the researcher has self-developed a prototype to better understand the theoretical perceptions of the proposed WPT system.]]>
<![CDATA[Dual axis solar tracking system for agriculture applications using machine learning ]]>
<![CDATA[Somasundaram, Deepa]]>;
<![CDATA[Dhandapani, Lakshmi]]>;
<![CDATA[Kathirvel, Jayashree]]>;
<![CDATA[Sagayaraj, Marlin]]>;
<![CDATA[Jagadeesan, Vijay Anand]]>
<![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.pp631-638
<![CDATA[The three most basic amenities required for human survival are food, shelter and clothing. In today's tech-savvy generation, these have experienced a great deal of scientific advancement. Unfortunately, agriculture is still more man power-oriented. So they have to rely on the hit and trial method to learn from experience which leads to waste of time. In proposed work includes an automated system using dual axis solar tracking system and gives crop recommendation for different types of soil to yield maximum. The suggested system is a dual-axis solar tracker based on machine learning that is intended to considerably increase the effectiveness of energy harvesting. The approach makes use of the logistic regression algorithm (LR) to do this. This novel strategy tries to maximize the solar panel's ability to produce energy, leading to increased energy yields. The quality of soil is predicted by using suitable sensors for crop recommendation. The data’s are temperature, humidity, pH of soil, nitrogen, phosphorous & potassium in soil and rainfall in soil are considered. For crop recommendation six algorithms- SVM, KNN, Native Bays, Logistic Regression, Decision Tree classifier, Random Forest Classifier are applied and tested. It is found that random forest classifier gave us excellent results.]]>
<![CDATA[Direct torque control of induction motor based on double-power-super-twisting sliding mode speed control for electric vehicle applications ]]>
<![CDATA[Mencou, Siham]]>;
<![CDATA[Yakhelf, Majid Ben]]>;
<![CDATA[Tazi, Elbachir]]>
<![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.pp1399-1409
<![CDATA[To improve the performance and energy efficiency of the direct torque control of induction motors used in electric vehicles a double-power-super-twisting sliding mode control (DPSTA SMC) strategy has been introduced in the closed speed loop. This strategy is based on the novel double-power-super-twisting algorithm (DPSTA), which combines the performance of the traditional super-twisting algorithm (STA) with the double power reaching law (DPRL). The stability of the algorithm has been proven using a quasi-quadratic Lyapunov function. The performances of the proposed DPSTA SMC controller have been compared with that of PI, fuzzy logic, and STA SMC controllers. Detailed simulations are carried out using MATLAB/Simulink software. The results demonstrate that this approach effectively improves tracking accuracy, system robustness and energy efficiency, while significantly reducing the chattering phenomenon.]]>
<![CDATA[Bearing fault diagnosis in induction motor using continuous wavelet transform and convolutional neural networks ]]>
<![CDATA[Boudiaf, Rabah]]>;
<![CDATA[Abdelkarim, Bouras]]>;
<![CDATA[Issam, Harida]]>
<![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.pp591-602
<![CDATA[Induction motors are widely used in various industries due to their high efficiency, reliability and low cost. However, faults in these motors can lead to serious problems, such as unexpected shutdowns, decreased efficiency, and even damage to other parts of the system. Monitoring and diagnosing these faults are necessary. In this study, we propose a new approach for diagnosing bearing faults using convolutional neural network (CNN) and continuous wavelet transform (CWT). The suggested approach uses Scalograms with various CWT types as the network's input and utilizes many epochs and various batch sizes (Multi Ep-Batch) throughout the bearing fault classification training and testing phases. To assess our method, we implemented an extension of the Squeeze Net pre-trained model (transfer learning). The results show that the proposed method outperforms traditional methods in terms of accuracy and computational efficiency in detecting bearing faults. These results are based on publicly available MFPT data, and the proposed approach is compared to traditional methods. This work opens new research avenues in the field of bearing fault diagnosis and provides a promising solution for real-world applications.]]>
<![CDATA[DSP implementation and discretization of phase locked loop methods in presence of grid imperfections ]]>
<![CDATA[En-Naoui, Ilias]]>;
<![CDATA[Radouane, Abdelhadi]]>;
<![CDATA[Mouhsen, Azeddine]]>;
<![CDATA[Jarmouni, Ezzitouni]]>;
<![CDATA[Ennajih, Elmehdi]]>
<![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.pp1490-1498
<![CDATA[The fluctuation of grid variables affects the performance of the phase-locked loop, considerably reducing the efficiency of grid energy injection or compensation currents generation during active filtering. The phase locked loop is the main tool for grid synchronization, offering continuous, real-time extraction of grid variables. As these techniques are implemented on digital computers, their discretization and analysis of resource requirements is an important step. This work represents a discretization and implementation on a digital signal processing (DSP) board of two distinct phase-locked loop (PLL) techniques as well as a comparative study of the latter. Our study covers various aspects, including the discretization of the PLLs to be studied, an assessment of the hardware resources required, their implementation on a DSP board, and their effectiveness in quickly identifying grid variables in the presence of imbalance and harmonics, which represent the most frequent grid imperfections.]]>
