cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
International Journal of Power Electronics and Drive Systems (IJPEDS)
Published by Institute of Advanced Engineering and Science
ISSN : -     EISSN : 20888694     DOI : -
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics 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
 225   226   227   228   229 
Performance monitoring as fault detection approach on AC power output of monocrystalline grid-connected photovoltaics system Muhammad, Nurmalessa; Zaid, Norsyafrina Abdul; Zainuddin, Hedzlin; Yunus, Puteri Nor Ashikin Megat
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp548-558

Abstract

As per the Malaysian sustainable energy development authority (SEDA), Malaysia has seen a significant growth in renewable energy thanks to the feed-in tariff (FiT) program. However, photovoltaic (PV) systems in tropical countries like Malaysia experience degradation due to technological factors and operating conditions. The effectiveness of PV systems is influenced by geographical location and weather conditions. This research study conducted a comparative analysis between the actual power output PAC_actual and the predicted power output PAC_expected, referred to as the acceptance ratio (AR). The study also assessed the yield and performance ratio (PR) of a PV system situated at the green energy research center (GERC) in Universiti Teknologi MARA, Malaysia. The actual monocrystalline grid-connected photovoltaic (GCPV) system versus predicted AC power and AR were monitored over a year, with MATLAB software used for simulating output power based on real data. According to the Malaysian Standard MS2692:2020, an AR value of 0.9 or higher is required for approval in testing and commissioning tests. The findings indicate that most AR graphs fall below this threshold, and the PR value for each month is below 0.75, suggesting a need for significant system overhaul.
Common mode voltage mitigation in a three phase 21-level asymmetrical inverter fed induction motor Narayana, Mamatha; Rajappa, Ramesh Honnappanahalli
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1641-1650

Abstract

For many years, numerous high-power applications have been found to cause mechanical damage to the rotating shaft. This research demonstrates that common mode voltage (CMV), which causes common mode leakage currents to flow into the motor bearings and spinning shaft, is one of the main contributing factors to mechanical shaft failures. By applying a carrier based Sinusoidal pulse width modulation (PWM) approach in conjunction with a proportional integral or PI controller technique in the feedback, the study aims to reduce leakage currents by mitigating the common mode voltages induced by the inverter output asymmetry. To accomplish the stated goal, an asymmetrical inverter architecture with a 21-level is employed. The literature emphasized the trade-off between total harmonic distortion (THD) and CMV, which is attempted to be kept well below IEEE's allowable bounds. The system stability is verified and proved by plotting the bode diagram.
A Li-ion battery charger based on LDO regulator with pre-charge mode in 180 nm CMOS technology Ouremchi, Mounir; El Khadiri, Karim; Qjidaa, Hassan; Jamil, Mohammed Ouazzani
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp659-669

Abstract

This paper presents a novel Li-Ion battery charger that utilizes a low-dropout (LDO) regulator and incorporates four control modes: low constant current mode, pre-charge current mode, fast constant current mode, and constant voltage mode. The charger aims to meet specific criteria such as high precision, high efficiency, and small form factor. Through simulation results, the following specifications were obtained using a 1.8 V supply in a 0.18 μm complementary metal–oxide–semiconductor (CMOS) technology: a trickle current of 124.7 mA, a pre-charge current of 466.94 mA, a maximum charge current of 1.06 A, and a charge voltage of 4.21 V. The proposed charger demonstrates an efficiency of 92%.
Management and monitoring of lithium-ion battery recharge with ESP32 Gomez-Huaylla, Estefany; Mejía-Cruz, Luis; Paiva-Peredo, Ernesto
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1677-1686

Abstract

Air quality is important for human health, the use of clean energy is one way to improve it. And the management and monitoring of the recharge of ion-lithium batteries used in electric vehicles and other devices requires efficient systems. The objective is to develop an intelligent electrical recharging system for lithium-ion batteries using internet of thing (IoT) technology. In this article, an electrical recharging system for lithium-ion batteries was designed and carried out, which is made up of a source, a diode bridge, L298 n driver, current sensor, a voltage divider sensor and the ESP32 microcontroller. The system determines the storage capacity of the battery and monitor it remotely via WIFI. The data is sent to a Shiftr.io server and graphically displayed on a NODE RED platform. The message queuing telemetry transport (MQTT) protocol is used to communicate the devices and decide the best time to recharge the batteries. The results show that the system works correctly and offer useful information that optimizes the charging process, it contributes to improving savings in the payment of electricity consumption and the use of clean energy. The limitations of the study are the small sample size and the lack of comparison with other similar systems.
African vulture optimizer algorithm for fuzzy logic speed controller of fuel cell electric vehicle Elnaghi, Basem E.; Dessouki, Mohamed Elshahat; Mohamed, Sara Wahied; Ismaiel, Ahmed M.; Abdel-Wahab, Mohamed Nabil
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1348-1357

Abstract

This research article introduces a novel optimization strategy for fuel cell electric vehicles (FCEVs) in order to reduce the integral square error to enhance dynamic performance. African vulture optimizer algorithm (AVOA) improves a speed fuzzy logic controller's (FLC) internal controller settings. The AVOA is renowned for its simplicity in implementation, and low demand on computational resources. The speed drive of FCEV is investigated using MATLAB/Simulink 2023a. The results of FLC-AVOA provide lower settling time, lower overshoot, lower undershoot, and high dynamic response when compared to FLC and proportional-integral (PI) controllers designed using genetic algorithm (GA). The FLC-AVOA reduced the rising time for speed dynamic response by 2.31% and the maximum peak overshoot by 55.23% as compared to FLC-GA.
Virtual voltage control to redistribute reactive power of generators in a microgrid Viloria, Eder Alexander Molina; Becerra, John E. Candelo; Durán, Dario Enrique Soto
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp784-792

Abstract

The paper examines a strategy for managing voltage control in a microgrid by redistributing reactive power among its distributed generators. Unlike traditional droop control, the new control approach can provide a more accurate reactive power response based on a virtual impedance that helps calculate a virtual voltage. In addition, this virtual impedance is employed for the current controller inverter to improve the results. The adaptive virtual voltage control works well to provide active and reactive power. The proposed control works effectively by balancing the active and reactive power of the grid and maintains the fundamental frequency. The control technique assists the new microgrid (MG) in adapting the operation effectively and redistributing the active and reactive power.
Machine learning applications for predicting system production in renewable energy Somasundaram, Deepa; Muthukumar, R.; Rajavinu, N.; Ramaiyan, Kalaivani; Kavitha, P.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1925-1933

Abstract

Renewable energy systems play pivotal role in addressing the global challenge of sustainable energy production. Efficiently harnessing energy from renewable sources requires accurate prediction models to optimize system production. This paper delves into the realm of predictive modeling, focusing on the utilization of machine learning techniques to forecast system production in renewable energy systems. The investigation incorporates a range of factors such as wind speed, sunshine, air pressure, radiation, air temperature, and relative air humidity, alongside temporal data ('Date-Hour (NMT)'). These factors undergo rigorous curation and preprocessing to ensure the reliability and quality of the predictive model. Various machine learning algorithms, including linear regression, decision tree, random forest, and support vector machine (SVM), are employed to examine the relationships between these factors and system production. The findings are assessed using metrics such as mean squared error, mean absolute error, and R-squared. Through comparative analysis, the study illuminates the strengths and limitations of each algorithm, providing valuable insights into their suitability for renewable energy forecasting. This paper adds to renewable energy research by examining how machine learning predicts system production. The insights are valuable for researchers, practitioners, and policymakers in sustainable energy development.
Simulation and optimization of EMI filter of conducted emission for high voltage gain DC-DC converter Ouhammam, Abdelaali; Mahmoudi, Hassane; El Hachimi, Youssef; Daghouri, Amina
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp902-912

Abstract

In the continuity of the work on design of high voltage gain DC-DC converter, used for feeding the CubeSat electrospray thrusters with a variable output voltage according to the maneuver size, this paper introduces a simulation of the converter model with MATLAB/Simulink to determine its conducted emission level. By referring to the MIL-STD-461 standard, a required passive electromagnetic interference (EMI) filter parameters are calculated to reduce, under thresholds, the converter noise. With consideration of the available volume and power constraints in this kind of satellite, the design of common-mode (CM) choke is optimized with proposed procedure optimization, so as to reduce its volume and electrical losses. Also, this optimization procedure can be generalized and applied for any passive EMI filter design.
Particle swarm optimization based sliding mode control for maximum power point tracking in solar PV systems Odo, Matthew Chinedu; Ejiogu, Emenike Chinedozi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp892-901

Abstract

One of the most significant renewable energies is photovoltaic (PV) energy, however it has a low efficiency due to its variable maximum power point that depends on weather conditions. In order to guarantee the system's best performance, intelligent algorithms can effectively track this point in real-time utilizing the maximum power point tracking (MPPT) method. Consequently, it is crucial to maximize the use of the solar energy that has been captured as well as the PV system's generated electricity. Variations in solar irradiance affects the amount of electric energy obtained from solar arrays. For efficient extraction of electricity from solar PV systems, MPPT algorithms are required. Sliding mode control (SMC) can be used in the control of nonlinear systems. However, the effectiveness of SMC can be improved by the choice of the sliding coefficients. In this paper, optimal search using particle swarm optimization (PSO) is used in the design of the sliding manifold. Results obtained via simulations showed that MPPT tracking efficiencies obtained for the PSO based SMC and the conventional SMC are 99.65% and 96.79% respectively. That means, PSO based SMC is 2.86% better than conventional SMC.
A non-invasive technique for monitoring supply voltage variation to single phase induction motor using doppler UWB radar signal analysis Barusu, Madhusudhana Reddy; Rani, Nalubolu Geetha; Reddy, Yeramareddy Venkata Siva; Reddy, Gongati Pandu Ranga
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp35-44

Abstract

The induction motors (IMs) are important components of various industries. The condition of IMs monitored continuously using contact and non-contact methods continuously. The contact methods are expensive, complex and difficult to implement. This paper proposes a non-contact method of fault identification in the single-phase induction motor operating in different conditions by analyzing doppler ultra-wide band (UWB) radar signal. The UWB radar generates a high frequency signal, which is transmitted on to the Induction motor form transmitter and software phase locked loop (SPLL) condition received signal from the receiver. The PLL implements as low pass filter, receives reflected signal from an induction motor along with high frequency noise. The received signal filtered to remove the high frequency noise and filtered output is analyzed to identify the different faults such as over voltage faults and under voltage faults when the motor is running with high, medium and low speed. The proposed non-invasive method has advantages compared to other such as the sensor’s sensitivity will not affect with motor temperature and accuracy will not change with position of the sensor and presence of other machines.

Page 227 of 266 | Total Record : 2660

 225   226   227   228   229 

Filter by Year

2011 2026


Reset
Filter By Issues
All Issue Vol 17, No 1: March 2026 Vol 16, No 4: December 2025 Vol 16, No 3: September 2025 Vol 16, No 2: June 2025 Vol 16, No 1: March 2025 Vol 15, No 4: December 2024 Vol 15, No 3: September 2024 Vol 15, No 2: June 2024 Vol 15, No 1: March 2024 Vol 14, No 4: December 2023 Vol 14, No 3: September 2023 Vol 14, No 2: June 2023 Vol 14, No 1: March 2023 Vol 13, No 4: December 2022 Vol 13, No 3: September 2022 Vol 13, No 2: June 2022 Vol 13, No 1: March 2022 Vol 12, No 4: December 2021 Vol 12, No 3: September 2021 Vol 12, No 2: June 2021 Vol 12, No 1: March 2021 Vol 11, No 4: December 2020 Vol 11, No 3: September 2020 Vol 11, No 2: June 2020 Vol 11, No 1: March 2020 Vol 10, No 4: December 2019 Vol 10, No 3: September 2019 Vol 10, No 2: June 2019 Vol 10, No 1: March 2019 Vol 9, No 4: December 2018 Vol 9, No 3: September 2018 Vol 9, No 2: June 2018 Vol 9, No 1: March 2018 Vol 8, No 4: December 2017 Vol 8, No 3: September 2017 Vol 8, No 2: June 2017 Vol 8, No 1: March 2017 Vol 7, No 4: December 2016 Vol 7, No 3: September 2016 Vol 7, No 2: June 2016 Vol 7, No 1: March 2016 Vol 6, No 4: December 2015 Vol 6, No 3: September 2015 Vol 6, No 2: June 2015 Vol 6, No 1: March 2015 Vol 5, No 4: 2015 Vol 5, No 3: 2015 Vol 5, No 2: 2014 Vol 5, No 1: 2014 Vol 4, No 4: December 2014 Vol 4, No 3: September 2014 Vol 4, No 2: June 2014 Vol 4, No 1: March 2014 Vol 3, No 4: December 2013 Vol 3, No 3: September 2013 Vol 3, No 2: June 2013 Vol 3, No 1: March 2013 Vol 2, No 4: December 2012 Vol 2, No 3: September 2012 Vol 2, No 2: June 2012 Vol 2, No 1: March 2012 Vol 1, No 2: December 2011 Vol 1, No 1: September 2011 More Issue