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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 65 Documents
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Search results for , issue "Vol 15, No 4: December 2024" : 65 Documents clear
Discrete-time Luenberger observer design for Lithium-ion battery state-of-charge with stability guarantee Septanto, Harry; Kurniawan, Edi; Prakosa, Jalu Ahmad; Hafiz, Samsul; Atman, Made Widhi Surya; Sudjana, Oetomo
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2145-2154

Abstract

State-of-charge (SOC) estimation is particularly important as it provides information about the remaining energy capacity of the battery, allowing for better planning and utilization. Accurate SOC estimation is challenging because it cannot be directly measured from the battery. Instead, it is estimated by analyzing measurable variables such as current and voltage. To address this challenge, a discrete-time observer-based SOC estimation approach is proposed in this paper. This approach utilizes a second-order equivalent circuit model and a piecewise linear approximation to represent the relationship between SOC and open circuit voltage (OCV). The proposed observer-based approach utilizes these models to estimate the SOC with assured asymptotic stability under specific assumptions to simplify the design process. Simulations in Python are conducted to evaluate the performance of the designed observer. In the simulations, the SOC estimation under various conditions, such as model uncertainty, disturbances, and measurement noise, is also covered. In addition, three different observer gains are considered in the simulations. Lastly, simulation studies indicate that the estimated SOC values converge to the real SOC values, with some different behavior depending on the regarded situations.
Reconfigurable voltage source inverter for power factor correction of on-board chargers Unni, Deepa Machadan; Rajalekshmi, Bindu Gopakumar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2323-2333

Abstract

The effectiveness and efficiency of battery chargers are crucial for the performance of electric vehicles. The growing demand for electric vehicles warrants the development of chargers with better power factor, low distortion for the input current and low total harmonics distortion. An in-depth investigation of different configurations of power factor correction converters with the above features reveals the need for additional circuitry with existing chargers. Hence this paper focuses on reconfiguring the existing voltage source inverter of the propulsion motor drive of electric vehicles (EVs) to obtain a power factor correction converter by a novel switching scheme. A bridgeless boost topology is chosen based on the performance analysis of different power factor correction topologies done on a MATLAB-Simulink platform. The simulation results prove that the proposed reconfigurable front end converter improves the input current drawn by the electric vehicle charger and improves the power quality with a low value for total harmonic distortion of 6.56%. A switching scheme is then developed for the voltage source inverter to reconfigure it as a bridgeless boost power factor correction converter. This scheme result in a high value of 0.75 for the component utilisation factor thus proving its effectiveness as compared to existing schemes.
Single observer speed sensorless field weakening control of two parallel motors Suprajitno, Agus; Yusivar, Feri; Halim, Abdul
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2058-2067

Abstract

Two induction motors with parallel connected stator windings supplied by a single inverter (single observer) with a field weakening control system. The objective of this study is to propose a torque production speed sensorless vector control technique for each parallel connected rotor by adding field weakening control to improve the performance of each motor and reducing the number of adaptive observers on each motor to a single observer. Design of a rotor flux-oriented control (RFOC) system. Simulation results with the C-MEX S-function of MATLAB/Simulink 2015b show that the proposed method works better and can be operated at speeds that exceed the nominal speed of the motor.
Impedance network-based ultra sparse matrix converter with enhanced voltage gain Hassan, Zahid; Khan, M. A.; Islam, Md. Rabiul
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2262-2274

Abstract

The matrix converter is devised to achieve sinusoidal input current and output voltage, and high power density. The typical matrix converter gives voltage gain less than unity using a significantly large number of switches. To reduce the number of switches an ultra sparse matrix converter (USMC) is introduced whose voltage gain is still less than unity. Researchers also introduced many modified versions of these matrix converters including quasi-Z-source, series Zsource, switched inductor, and switched capacitor USMCs. Although all of these matrix converters have their relative advantages and disadvantages in terms of the number of switches and passive elements, the voltage gain is still marginal. This paper focused on achieving higher voltage gain using minimal switches and passive elements. We proposed a doubler boost impedance network based ultra sparse matrix converter (DB-USMC). The doubler boost impedance network consists of a boost stage and doubler stage where the boost stage enhances the voltage and the doubler stage makes it double. The voltage gain of the proposed DB-USMC converter is 4.00 at a 50% duty cycle. The obtained results of the proposed DB-USMC converter show a path to get superior voltage gain using minimal switches and passive elements in a cost-effective manner.
Solar power plant 618.8 kWp monitoring correction on the Fusion application Hutauruk, Sindak; Siagian, Pandapotan; Sitinjak, Reinhard A.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2631-2638

Abstract

Monitoring of energy produced by the solar power plant (SPP) with a capacity of 618.8 kWp at HKBP Nommensen University in Medan is carried out using the FusionSolar application. This SPP energy management application includes displaying yield, energy consumption, energy exports, and SPP energy imports. The amount of energy displayed using the FusionSolar application is compared with the amount of energy resulting from manual calculations based on power data displayed on the alternating current (AC) combiner panel from 3-phase inverters. This comparison was carried out over seven days of measurements. It produced an average difference of 5.779%, with a correction value of 0.942, so the energy reading resulting from the FusionSolar application must be multiplied by this correction value.
Analysis of high-voltage silicon vertical multi-junction solar cells: under concentrated illumination Khalis, Mohamed; Masrour, Rachid
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2019-2026

Abstract

We analyze the J-V characteristics of silicon vertical multi-junction solar cells. The J-V characteristic data includes J0, RS, Rsh, n, and Jph, representing saturation current density, series resistance, shunt resistance, ideality factor, and photocurrent density, respectively, and are utilized to extract the parameters of these multi-junction solar cells. These parameters were recently acquired in a previous investigation. In our research, we developed a MATLAB code to investigate the efficiency variation with concentration using the nonlinear least-squares method, following a similar approach as the previous study. Our findings reveal that the algorithm effectively utilizes electrical parameters obtained through the nonlinear least-squares method, ensuring stable convergence and faithful replication of experimental J-V characteristics. Our findings indicate that an increase in light concentration from 1 to 100 suns leads to an efficiency improvement from 19.4 to 26.2%. However, beyond 100 suns, the efficiency declines from 26.2 to 17.3%. The most influential parameter in determining solar cell efficiency is the open-circuit voltage, Voc. Our experiments have shown an increase in this voltage with light concentration. For instance, its value changes from around 19.147 V at 1 sun to approximately 25.491 V at 500 suns.
Adaptive fuzzy PID integrated renewable power management system for off grid and on grid conditions Gopu, Veeranjaneyulu; Nagaraj, Mudakapla Shadaksharappa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2580-2590

Abstract

Renewable source penetration into the distribution grid is merely a greater challenge as the powers from renewable sources are not stable and constant. Due to their sporadic operating states the power shared to the grid creates power quality issues. Therefore, an efficient adaptive PMA needs to be adopted for the control of these renewable sources, which controls the power extraction of these sources. For standard power sharing to the variable loads in the grid islanding state, the renewable sources are updated with the ESS module. In this paper, a low-rating distribution test system is considered connected with different renewable sources PV sources, wind farms, and fuel cell plants sharing renewable power. The PV source module is updated with AF-PID replacing the PI controller integrated PMA and ESS module for extensive control of the power of the generation unit during any operating condition. The DC and AC voltages are more stabilized by the upgraded PMA during grid islanding conditions. Mitigation of ripple and harmonic content is achieved by the AF-PID controller varying the proportional, integral, and derivative gains as per the error signal generated. A comparative analysis is carried out on the system validating the effectiveness of the AF-PID controller using MATLAB Simulink software.
Optimal cell-to-cell active balancing using fuzzy type-2 BEC implemented zeta and quasi-resonant buck converters on Li-ion based battery pack Sudiharto, Indhana; Murdianto, Farid Dwi; Widyasavitta, Vena Chika
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2275-2286

Abstract

Many motorized vehicles use non-environmentally friendly fuels causing more pollution. To tackle this, electric vehicles with battery technology are becoming popular. Many electric cars use Li-ion battery packs. However, these battery packs can have differences between individual batteries, affecting their performance. When electric cars accelerate, the batteries can get imbalanced, which shortens their lifespan. To prevent this, a balancing circuit is needed to make sure each battery cell stays equal. To get the balancing current according to the needs of each battery cell and switching network components. As a result, this research creates a cell-to-cell active balancing using the quasi-resonant buck converter that can reduce ripple from zeta converter output. Fuzzy type-2-BEC adjusts the duty cycle zeta converter circuits. The output is set equal to the average cell voltage. Four pieces of Li-ion are connected in the series at 14.4 V/3 Ah. To test the balancers, two variations were used to determine the system's reliability. From the test result, variation one can balance all cells at the 60 s, and variation two can balance all cells at the 150 s.
Analyzing the efficacy of LMS-based control algorithms in enhancing power quality in three-phase grid-connected systems Yousfi, Abdelkader; Bot, Youcef; Mehedi, Fayçal
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2462-2469

Abstract

This paper introduces a novel method for controlling shunt active power filters (SAPFs) to improve network efficiency and reduce carbon emissions in the utility sector. It addresses the problem of current harmonics degrading system performance by employing reference current generation based on the least mean square (LMS) algorithm, it decomposes distorted current into fundamental active, fundamental reactive and harmonic components. Traditionally, LMS implementations suffer from poor dynamic response due to uniform learning rates. To overcome this, the method adjusts the learning rates for fundamental active and reactive components separately, improving dynamic response and reducing computational complexity. Extensive analysis validates the effectiveness of this approach under various conditions, demonstrating its superiority in enhancing system performance and reducing carbon emissions in electrical networks.
Development and evaluation of artificial intelligence based maximum power point tracking for photovoltaic systems across diverse weather conditions Poornima, Penumala; Boopathy, Kannan
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2443-2451

Abstract

An essential control mechanism for solar panels, maximum power point tracking (MPPT) constantly adjusts the operating point to maximize power extraction from changing environmental conditions, ensuring that the panels run at peak efficiency. To maximize energy yield, improve overall system performance, and add to the financial feasibility of solar installations, MPPT is crucial in today's energy landscape, which is increasingly focused on clean and renewable sources. In this study, we test four popular photovoltaic maximum power point tracking (MPPT) algorithms in different weather scenarios: perturb and observe (P&O), fuzzy logic, grey wolf optimizer (GWO), and horse herd optimization (HHO). Key parameters such as efficiency, responsiveness to partial shading, and adaptability to changing environmental conditions are analyzed using MATLAB models to evaluate each algorithm's performance in depth. The results show where each algorithm excels and where it falls short, and the research stands out by incorporating new features into the models. Our study seeks to provide valuable insights for the development of photovoltaic (PV) MPPT algorithms, guiding future research and applications in the ever-changing field of renewable energy systems. We will focus on making these algorithms more flexible in dynamic environments and resilient in partial shading situations.

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