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[Microgrid confrontations and smart resolution ]]>
<![CDATA[Modi, Sangeeta]]>;
<![CDATA[Usha, Pasumarthi]]>
<![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.pp1446-1455
<![CDATA[Hybrid microgrids are emerging as an alternate solution for connecting distributed AC/DC energy resources. Effective fault detection and response are highly essential for the microgrid controller (MGC) for protection of the microgrid. The conventional schemes of protection cannot be applied in microgrid because of dynamic conduct and unconventional topology of the microgrids. It is highly essential to develop an appropriate scheme for detection and classification of faults for the effective protection of microgrids. In this paper, a novel and smart solution based on the application of an intelligent machine learning (ML) fine tree algorithm is applied to the hybrid microgrid controller. This algorithm resulted in effective detection & classification of faults which in turn was used for separation of faulty segment. The intelligent model obtained with the proposed algorithm performed well and fault detection accuracy has been showcased for various fault scenarios. The overall fault detection accuracy obtained is 98%. Severity of faults and associated confrontations are also discussed in this work. Performance efficacy of the proposed ML based protection algorithm for MGC is substantiated in MATLAB environment.]]>
<![CDATA[CSA-based harmonic elimination controlled reduced switch multilevel inverter for standalone PV system ]]>
<![CDATA[Sen, Priyanka]]>;
<![CDATA[Sahoo, Ashwin Kumar]]>;
<![CDATA[Jha, Vandana]]>
<![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.pp345-356
<![CDATA[A standalone photovoltaic (PV) system has emerged as a clean energy solution for application in remote areas. To establish such a system a suitable converter is required for voltage boosting as well as to produce high-quality output as required by the load. To achieve this, multilevel inverters (MLIs) are the proven substitute in PV systems. A conventional MLI uses multiple sources and switches that increase the cost and complexity. To provide a complete stand-alone system solution that addresses this issue, reduced component switched capacitor (SC) based seven-level MLI is disclosed in this paper. A new crow search algorithm (CSA) based selective harmonic elimination (SHE) method is employed to estimate the switching angles. The dominant harmonic orders are removed from the 7-level SC-MLI output while the desired firing angles for the switches are evaluated. Using only seven switches, the circuit boosts the voltage to 1.5 times with the aid of self-balanced capacitors. Therefore, the circuit does not require an additional control circuit for voltage balancing. The overall system is designed in MATLAB/Simulink environment to test under different operating conditions. An experimental prototype of the 7-level SCMLI is also designed to validate the CSA-based SHE control and MLI performance in real time.]]>
<![CDATA[Slip angle control based DTC of open-end winding induction motor drive using dual randomized decoupled PWM for acoustic noise mitigation in EV application ]]>
<![CDATA[Challa, Ganesh]]>;
<![CDATA[Reddy, M. Damodar]]>
<![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.pp1339-1347
<![CDATA[Reduced vibration, acoustic noise, and higher DC link utilization are advantageous for industrial drives and/or electric vehicle (EV) drives. Direct torque controlled (DTC) induction motor drives fulfill the stringent demands of the EV and/or industries of the modern era. However, torque and flux ripples occur at steady state conditions, resulting in increased acoustical noise. As a result, EV and/or workplace noise has emerged as a major issue, both in terms of human health and safety. The space vector pulse width modulation (SVPWM) improves DC bus utilization. However, SVPWM is less effective in reducing acoustic noise. Many random PWM (RPWM) approaches, including random zero vector PWM (RZVPWM), random pulse position modulation (RPPM), random carrier frequency modulation (RCFM), and RCFM-RPPM are effective in reducing acoustic noise. However, due to the decreased level of randomization, reducing noise remains problematic. This research proposes a decoupled hybrid dual randomized RPWM (HDRRPWM) schemes for slip angle control based DTC of an open-end winding induction motor drive for acoustic noise mitigation in EV applications. The suggested schemes aim to demonstrate the efficacy of HDRRPWMs in dispersing the acoustic noise spectrum as compared to traditional methods.]]>
<![CDATA[Review of DC-DC boost converter derived topologies for renewable energy applications ]]>
<![CDATA[Thulasiraman, Nivethaa]]>;
<![CDATA[Viswanathan, Lavanya]]>;
<![CDATA[Sriramalakshmi, Palanidoss]]>
<![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.pp947-957
<![CDATA[This paper deals with three different power converter topologies for boosting the available dc input voltage. The converters considered for the study are conventional DC-DC boost converter, quasi switched boost DC-DC converter (qSBC) and quasi Z source converter (qZSC). The converters are designed for an input voltage of 24 V to deliver a power of 200 W to a resistive load. The steady-state analysis of all three topologies is discussed to determine the key characteristics of the proposed topologies. All the converters are simulated in MATLAB/Simulink environment and the outcomes are explained in detail. The performance comparison of the converters such as switch stress, diode stress and boost factor versus duty ratio are presented. Thus, this comparison helps to choose a suitable boost converter topology for a specific application.]]>
<![CDATA[The prediction of the usual solar irradiation in the Sahel using the artificial neural networks (case study: 50 MW power plant in Nouakchott) ]]>
<![CDATA[Mohamed, Soukeyna]]>;
<![CDATA[Elvally, Vatma]]>;
<![CDATA[Mahmoud, Abdel Kader]]>;
<![CDATA[Zoubir, Aoulmi]]>
<![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.pp1739-1748
<![CDATA[The development of a model for predicting meteorological variables using a physical approach was our solution for modeling a solar system, this modeling was carried out in two stages. The first step is to predict the meteorological variable (solar irradiation) at the plant level and the second step is to use a generated energy model to convert these irradiation forecasts into a forecast of the generated energy by the plant. In this study we modeled the solar irradiation curve of the Nouakchott power plant (50 MW) using artificial neural networks (ANN) which create adaptive identification methods and intelligent control laws based on the principal learning, which consists of memorizing previous results and generalizing future results, ultimately modeling the given system. The development of the curve is carried out by carrying out a series of experiments which made it possible to converge towards a methodology offering good precision, using the data measured from solar irradiation over two years at the level of the Nouakchott site. The evaluation of the solar irradiation forecasting model, by calculating the statistical parameters, made it possible to record a normalized average absolute error between 0.121 and 0.126 and a regression factor R (measures the correlation among output-target) with the aid of using 98.4% and 98.5% and the evaluation among specific present techniques in literature display the goodness of the proposed models.]]>
<![CDATA[A new configuration of multilevel inverter to generate higher voltage level with lower components ]]>
<![CDATA[Rajavel, Premkumar]]>;
<![CDATA[Asokan, Vimala Juliet]]>
<![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.pp1508-1516
<![CDATA[Nowadays, the demand for cleaner and higher quality electricity supply is increasing among various industries and individual consumers. When compared to conventional two-level inverters, multi-level inverters are becoming more and more common, as these inverters deliver high-quality power with fewer harmonics. Here a new multilevel inverter circuit designed with variable direct current (DC) voltage sources is proposed, this circuit requires limited circuit components, and is compared with the other topologies with the same voltage in the output. The proposed topology requires nine switches in order to generate a single-phase 13-level output voltage without connecting to a polarity-generating circuit. The output voltage level and performance parameters associated with the total harmonic distortion (THD) of the voltage level in the output generated by the proposed multilevel inverter or MLI are evaluated in a MATLAB environment. The final simulation results confirm the behavioral accuracy in the proposed topology while creating all the levels. Also, real-time work is done to verify the operation of the inverter and the results are showcased.]]>
<![CDATA[A simple approach for the computation of magnetic characteristics of 4-phase switched reluctance motor ]]>
<![CDATA[Hadapad, Basavaraju S.]]>;
<![CDATA[Naik, Raghuram L.]]>
<![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.pp136-146
<![CDATA[Switched reluctance motor (SRM) is non-linear in nature due to non-uniform air gap between stator and rotor that is produced from doubly salient poles. To control the operation of non-linear motor, a precise modelling of magnetic characteristic is essential. Traditionally magnetic equivalent circuit, finite element method (FEM) and experimental approaches have been used to derive magnetic characteristics of SRM. These methods involve complex computational steps and numerous assumptions for its calculations. To avoid this complexity, a simple approach is suggested in this paper to compute magnetic characteristics of 4-phase SRM. In this approach, SRM phase inductance is measured directly to identify the location of rotor with respect to stator from unaligned to aligned position. Then, single phase of SRM is excited through asymmetric converter and voltage and currents of corresponding phase is recorded with rotor being blocked using indexing head. Later recorded values are used to compute the magnetic characteristics from unaligned to aligned position. The proposed method is carried out using field programmable gate array (FPGA) controlled 8/6, 4-phase SRM. Further, accuracy of obtained magnetic characteristic is verified using FEM. In addition, fidelity of the magnetic characteristic is also validated by developing a dynamic model of SRM in MATLAB/Simulink]]>
<![CDATA[Efficient and robust nonlinear control MPPT based on artificial neural network for PV system ]]>
<![CDATA[Abdouni, Khadija]]>;
<![CDATA[Ennasri, Hind]]>;
<![CDATA[Drighil, Asmaa]]>;
<![CDATA[Bahri, Hicham]]>;
<![CDATA[Bour, Mohamed]]>;
<![CDATA[Benboukous, Mostafa]]>
<![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.pp1914-1924
<![CDATA[The objective of this paper is to optimize the energy generation of a photovoltaic system by proposing an improved maximum power point tracking (MPPT) technique. The proposed method combines an artificial neural network (ANN) with a backstepping controller to enhance the photovoltaic (PV) system’s efficiency and precision in diverse climatic conditions, including solar irradiance and temperature. The ANN is used to predict the optimal voltage at maximum power point (MPP) Vpv, ref, and the backstepping controller is used to control the DC/DC converter based on Vpv, ref. The results obtained using this technique are compared with those obtained from the perturbation and observation (P&O) technique. The proposed technique achieves better results than P&O in terms of efficiency, accuracy, stability, and response time. The simulations are performed on MATLAB/Simulink software.]]>
<![CDATA[Economic optimization of hybrid renewable energy resources for rural electrification ]]>
<![CDATA[Adebayo, Isaiah]]>;
<![CDATA[Sun, Yanxia]]>;
<![CDATA[Awal, Umar]]>
<![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.pp1147-1157
<![CDATA[In rural areas, grid expansions and diesel generators are commonly used to provide electricity, but their high maintenance costs and CO2 emissions make renewable energy sources (RES) a more practical alternative. Traditional methods such as analytical, statistical, and numerical-based techniques are inadequate for designing an energy-efficient RES. Therefore, this study utilized the bat algorithm (BA) to optimize the use of hybrid RES for rural electrification. A feasibility study was conducted in the village of Kalema to assess energy consumption, and a diesel-only system was modeled to serve the entire community. The BA was used to determine the optimal size and cost-effectiveness of the hybrid RES, with MATLAB R (2021a) utilized for simulation. The BA's performance was compared with diesel only and GA using cost of energy (COE) and CO2 emissions as metrics. Diesel generators only produced a COE of $6,562,000 and 1679.6 lb/hr of CO2 emissions. COE with BA was $356,9781.37 (a 45.6% reduction) and CO2 emissions were 635.29 lb/hr (a 62.2% drop). Genetic algorithm (GA) resulted in $364,3122.46 COE and 652.69 lb/hr CO2 emissions, indicating 61.1% and 44.5% decreases, respectively. BA significantly reduced COE and CO2 emissions over GA, according to the analysis.]]>
<![CDATA[Analysis of nickel oxide as a counter electrode for dye-sensitized solar cells using OghmaNano software ]]>
<![CDATA[Senin, Nur Afiqah Hani]]>;
<![CDATA[Rummaja, Iskandar Dzukarnain]]>;
<![CDATA[Idris, Muhammad Idzdihar]]>;
<![CDATA[Napiah, Zul Atfyi Fauzan Mohammed]]>;
<![CDATA[Ramlee, Radi Husin]]>;
<![CDATA[Rashid, Marzaini]]>;
<![CDATA[Bradley, Luke]]>
<![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.pp1218-1226
<![CDATA[Dye-sensitized solar cells (DSSCs), a promising green technology, convert solar energy into electricity more cost-effectively than traditional solar cells. While platinum (Pt) is commonly used in DSSCs, its high cost and toxicity limit practical applications. Recent research aims to develop low-cost counter electrodes with high efficiency. Nickel oxide (NiO), a p-type semiconductor with a wide bandgap, good transmittance, and suitable work function, emerges as a potential alternative for counter electrode of DSSCs. In this work, DSSCs with NiO of thicknesses varying from 100 nm to 1000 nm were simulated to determine its influence on photovoltaic performance using OghmaNano software. The structure of simulated solar cells consists of NiO as counter electrode, zinc oxide (ZnO) as photoanode, N719 as dyes, electrolyte as charge carrier transport, and fluorine-doped tin oxide (FTO) as a contact layer. There are five data of NiO used as an active layer. From the simulation results, NiO-doped gold exhibits the highest power conversion efficiency (PCE) of 15.95% at a thickness of 700 nm, while pure NiO shows the lowest PCE with 4.53% at a thickness of 600 nm. These results have demonstrated that NiO can replace Pt as a counter electrode for DSSCs and doping plays a vital role in increasing efficiency.]]>
