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29,922 Article Results

The effects of surface albedo and photovoltaic system tilt angle on improving light energy utilization efficiency

10.11591/ijpeds.v17.i1.pp740-751
Ahmed Daud Mosheer , Ahmed Hussein Duhis , Hussain Abdulkarim Hammas
The ground-surface reflection (albedo) significantly influences the amount of solar radiation absorbed by photovoltaic panels and, thus, the optimum tilt angle for maximizing annual energy generation. Nevertheless, the majority of design models presume a constant albedo value, therefore could not accurately represent actual field conditions. This study aims to identify the optimal tilt angle for each albedo value that maximizes the annual energy output of a stationary on-grid photovoltaic system of 20.48 kWp installed in Baghdad, Iraq. Seven albedo values, varying from 0.09 to 0.87, were simulated using PVsyst software, with the reference case established at an albedo of 0.2 and a tilt angle of 31°. The results indicate that the optimum tilt angle is directly proportional to the surface reflection. For albedo levels below the reference of 0.2 (0.18 and 0.09), increased energy generation occurred at reduced tilt angles of 30.5° and 29°, respectively. Conversely, for increased albedo values (i.e., exceeding the reference of 0.2, spanning from 0.25 to 0.87), greater tilt angles were necessitated, reaching 45° at an albedo of 0.87, where the annual energy rose from 35.212 to 36.999 MWh/yr, signifying a 5.07% increase relative to the reference condition. The results validate that the optimal tilt angle fluctuates with ground-surface albedo, as surface reflectivity affects solar irradiation and energy output. Integrating actual albedo values in photovoltaic models is crucial for precise tilt adjustment and enhanced system efficiency.
Volume: 17
Issue: 1
Page: 740-751
Publish at: 2026-03-01

Enhancing SAPF performance with VOC and SVM for electrical networks depollution

10.11591/ijpeds.v17.i1.pp593-601
Kamal Bayoude , Mohamed Moutchou , Yassine Zahraoui
This paper presents a significant enhancement in the filtering performance of shunt active power filters (SAPF) by leveraging the voltage oriented control(VOC) in combination with a three-level NPC inverter using space vector modulation (SVM). The VOC technique enables precise control of the SAPF by utilizing the orientation of the voltages, thereby optimizing harmonic compensation and reference tracking. Incorporating a three-level inverter allows for more refined voltage modulation, resulting in a substantial reduction in injected harmonic content. Simulation results from MATLAB/Simulink demonstrate the effectiveness of this approach. Before compensation, the measured total harmonic distortion (THD) reaches 27.98%, exceeding the IEEE 519-1992 standard threshold of 5%. However, after applying the SAPF, the THD drops to 0.85%, aligning with international standards for power quality. The figures included in the study illustrate the stability of the phase-locked loop(PLL)voltages and the noticeable improvement in the source current waveforms, which exhibit a near-sinusoidal profile after filtering. These findings validate the superiority of the VOC strategy coupled with an NPC inverter and SVM in effectively mitigating harmonic distortions and enhancing power quality in modern electrical networks.
Volume: 17
Issue: 1
Page: 593-601
Publish at: 2026-03-01

Fuzzy adaptive sliding mode control with exponential reaching law for enhanced 4WD electric vehicle speed control

10.11591/ijpeds.v17.i1.pp107-122
Abdelhamid Bouregba , Abdeldjabar Hazzab , Aissa Benhammou , Samir Hadjeri
This paper discusses a novel fuzzy adaptive sliding mode control (FASMC) strategy for a four-wheel-drive (4WD) electric vehicle (EV), incorporating an exponential reaching law (ERL) and a fuzzy adaptive switching gain to enhance speed tracking. The classical SMC technique often suffers from the chattering problem, which can degrade the dynamic control performance of the electric vehicle. To address these challenges, the proposed hybrid controller employs an exponential reaching law to ensure fast convergence and reduced chattering, while a fuzzy logic-adaptation mechanism dynamically adjusts the switching gain to improve robustness against uncertainties and external disturbances. First, the mathematical model of the motor derived for achieving speed regulation using the classical SMC with an exponential reaching law based on indirect-field-oriented control (FOC). Then, the proposed control technique is designed to automatically adjust the ERL gain using a fuzzy logic controller to ensure precise vehicle speed control, optimizing the vehicle's dynamics under varying road conditions. This novel configuration enables the development of a 4WD EV control framework with an optimized controller, serving as the foundation for implementing our proposed study. The results validate the proposed method's superiority, delivering lower chattering, enhanced tracking precision, and greater robustness compared to traditional SMC while adhering to control standards. This control framework presents a viable advancement for 4WD EV motion management, supporting safer, more effective autonomous vehicle technologies.
Volume: 17
Issue: 1
Page: 107-122
Publish at: 2026-03-01

Application of capacitor banks to enhance energy efficiency in aeration systems for fisheries cultivation

10.11591/ijpeds.v17.i1.pp335-342
I Made Aditya Nugraha , I Gusti Made Ngurah Desnanjaya
Electrical energy consumption in aeration systems represents a major component of operational costs, primarily due to the low power factor of inductive equipment such as blowers. This study evaluates the effectiveness of capacitor banks in improving energy efficiency and their economic feasibility in small- to medium-scale aquaculture aeration systems. Over 90 days, measurements were conducted on energy consumption, current, voltage, and water quality parameters, including dissolved oxygen (DO) and pH in two systems: without and with capacitor banks. The results showed that the use of capacitor banks reduced daily energy consumption from 15.01 ± 0.45 kWh to 13.13 ± 0.45 kWh (savings of 12.51%), equivalent to approximately 56.4 kWh per month or 686.2 kWh per year. The average current decreased from 2.44 A to 1.88 A, while voltage, DO (6.50-6.64 mg/L), and pH (7.20-7.25) remained stable within the optimal range. Economic analysis revealed that an initial investment of IDR 1,500,000 has a payback period of 18 months, a net present value (NPV) of IDR 2.15-2.33 million (at 8% discount rate), and an internal rate of return (IRR) exceeding 50% per year. These findings demonstrate that the application of capacitor banks not only enhances energy efficiency and reduces power losses but is also highly feasible and profitable for practical adoption in aquaculture operations.
Volume: 17
Issue: 1
Page: 335-342
Publish at: 2026-03-01

Modeling of solar and wind energy using MATLAB/Simulink: a review

10.11591/ijaas.v15.i1.pp107-122
Nicholas Pranata , Fahmy Rinanda Saputri
This paper presents a concise review of solar (photovoltaic (PV)) and wind (horizontal axis) energy systems, focusing on their modeling and simulation using MATLAB)/Simulink. The advantages, disadvantages, strengths, and weaknesses of each system are discussed, providing a comprehensive overview of their characteristics. The review explores the mathematical modeling approaches for PV cells and modules specific for single diode model, as well as horizontal-axis wind turbine systems, highlighting the key equations and parameters involved. Furthermore, the paper discusses the emerging trend of hybrid solar-wind energy systems and their potential for optimizing power output, efficiency, and reliability. The review emphasizes the importance of accurate modeling based on fundamental knowledge, which serves as a practical implication for readers to understand the mechanism. Future research directions and challenges in the field of renewable energy modeling and simulation are also outlined. This review serves as a valuable resource for researchers, engineers, and decision-makers involved in the development and implementation of solar and wind energy systems.
Volume: 15
Issue: 1
Page: 107-122
Publish at: 2026-03-01

An efficient grid-connected solar PV system with a fault-tolerant mechanism to mitigate the voltage disturbances

10.11591/ijpeds.v17.i1.pp282-292
N. Jayakumar , B. Devi Vighneshwari , V. Prema
One of the most effective renewable energy solutions for long-term power generation is a solar photovoltaic (PV) system that is connected to the grid. However, power quality and system reliability can be significantly impacted by grid-side voltage disturbances such as sag, swell, and faults. To reduce voltage fluctuations and improve grid stability, this study proposes an effective fault-tolerant (FT) solar PV system coupled with a dynamic voltage restorer (DVR). The adaptive DVR-based control method, which dynamically injects compensatory voltages based on disturbance amplitude to ensure uninterrupted and distortion-free power delivery, is the feature that makes this study unique. MATLAB/Simulink is used to model and simulate the system to assess its dynamic response under fault, sag, and swell situations. IEEE 519 standards are met by the suggested design, which produces average total harmonic distortion (THD) values of 0.59%, 1.16%, and 1.55% for 50%, 100% sag/swell, and three-phase fault circumstances, respectively. This indicates that even in challenging grid situations, the DVR can sustain high-quality voltage profiles. For implementation in renewable-rich or weak grid networks, the suggested FT-DVR configuration provides a workable and affordable solution that guarantees better voltage regulation, less harmonic distortion, and increased operational dependability for upcoming smart-grid integration.
Volume: 17
Issue: 1
Page: 282-292
Publish at: 2026-03-01

A survey on fronthaul signaling of user-centric cell-free massive MIMO networks

10.11591/ijict.v15i1.pp302-312
Syed Tariq Ali , Anamika Singh
The mandate for high data rates in mobile communication is increasing and will continue to do so in the future. Although the latest network technologies can meet this demand, they result in more-dense networks. Networks like ultra-dense networks and massive multiple-input multiple-output provide very high data rates, but they cannot meet the future demand. The main issue with existing networks is inter-cell interference and variations in quality of service esp. at the cell edges, leading to research on new network architectures that offer intelligent coordination and collaboration capabilities are being researched, like user-centric cell-free (UC-CF) massive-multipleinput-multiple-output (mMIMO). This network combines the best of ultradense networks and mMIMO and eliminates cell edge problems. It is served by access points that cooperate and coordinate with each other. This paper reviews the challenges and opportunities in physical layer parameterfronthaul signaling for UC-CF mMIMO. We discuss the basics of the network, the importance of fronthaul signaling, and propose various approaches in the literature to address challenges and identify research gaps and provide future directions. Our aims to provide a comprehensive overview of the current state of fronthaul signaling and highlight the key issues that need to be addressed to realize its full potential.
Volume: 15
Issue: 1
Page: 302-312
Publish at: 2026-03-01

A novel technique for induction heating dryer with temperature and voltage control for power inverter

10.11591/ijpeds.v17.i1.pp438-452
Jeerapong Srivichai , Kittaya Somsai , Akkachai Phuphanin , Nithiroth Pornsuwancharoen
This study presents a novel prototype of an induction heating dryer integrating hysteresis control with phase-shifted pulse width modulation (PWM) for the first time. The system replaces conventional resistance heating, improving energy efficiency and thermal stability. The 2 kW prototype comprises a drying chamber and a hot air unit with controlled airflow of 1.5 m/s. Phase angle adjustment reduces voltage, current, and power consumption while maintaining the power factor within acceptable limits. The temperature control maintains stability within ±1 °C of the setpoint. The results demonstrate fast, energy-efficient, and precise drying, offering potential benefits for food processing and textile industries, and providing a foundation for future development of intelligent, energy-efficient induction dryers.
Volume: 17
Issue: 1
Page: 438-452
Publish at: 2026-03-01

Improving voltage stability in isolated renewable energy microgrids using virtual synchronous generators

10.11591/ijpeds.v17.i1.pp683-695
Ahmad Supawi Osman , Aidil Azwin Zainul Abidin
The integration of renewable energy systems (RES) and distributed generation (DG) into microgrids introduces significant challenges in maintaining voltage stability due to intermittent generation and reduced rotational inertia. This systematic review critically examines advanced control strategies aimed at enhancing voltage resilience in isolated RES-driven microgrids. Particular focus is placed on virtual synchronous generators (VSGs), which emulate electromechanical dynamics of synchronous machines via state-space modeling, and model predictive control (MPC), which enables real-time control optimization under multi-constraint scenarios. The review synthesizes literature on coupling–decoupling behavior, impedance sensitivity, and dynamic voltage response under varying load conditions. Additionally, it evaluates the role of hardware-in-the-loop (HIL) platforms and Runge-Kutta-based simulations in validating control models for real-time deployment. A structured framework is proposed, aligning VSG-based inertia emulation with predictive control to address voltage dips, oscillations, and transient instabilities. The findings highlight both theoretical gaps and implementation opportunities for achieving robust voltage stabilization in next-generation microgrids.
Volume: 17
Issue: 1
Page: 683-695
Publish at: 2026-03-01

A unified intelligent AI platform for resolving citizens' queries related to beneficiary service using AI -Powered chatbots a practical apparoach

10.11591/ijict.v15i1.pp267-275
Parveen Mehta , Shweta Bansal
The daily many rural citizens visit government offices to inquire about beneficiary services that support poor and illiterate citizens. However, without proper knowledge, many eligible citizens fail to benefit from these services. In the artificial intelligence (AI) era, AI-powered chatbots, such as AI agents, can provide valuable support to the villagers and provide them with complete information at their door step. In this paper, a proposed framework, using a chatbot, to reduce the communication gap between citizens and government officials to improve service delivery performance. This chatbot is developed by using a built large language model, python libraries, fast API, and mongodb data base. Our findings demonstrate the challenges of imbalanced data and suggest improvements for future implementations. The system enhances service delivery by automating eligibility checks and reducing office visit frequency by up to 60%.
Volume: 15
Issue: 1
Page: 267-275
Publish at: 2026-03-01

A novel single-switch DC-DC converter using the coupled inductor with ultra-high voltage gain

10.11591/ijpeds.v17.i1.pp476-486
Kim-Anh Nguyen , Thai Anh Au Tran , Xuan Khanh Ho , Duong Thach Pham
This paper presents an extremely high step-up DC-DC converter using a quadratic topology and a coupled inductor (CI). The proposed converter (PC) utilizes a single switch, simplifying the control strategy and reducing switching losses. A passive clamp circuit recycles leakage energy, reducing voltage stress (VS) on the MOSFET and enabling the implementation of a low on-state resistance switch for higher efficiency. Additionally, the quadratic structure and passive clamp circuit contribute to higher voltage gain (VG) and better performance. The converter’s operating principles, steady-state analysis, and component selection criteria are discussed in detail. The influence of magnetizing inductance, duty cycle, and parasitic components on the VG is also investigated, along with the system’s dynamic response under input voltage and load variations to ensure stable operation. A comparative evaluation with existing converters highlights its advantages. The PC is verified through SIMPLIS simulations, where key performance metrics such as VG and switching stress are analyzed. Furthermore, a hardware prototype with a power rating of 300 W is built to confirm the theory and showcase the converter’s performance. Experimental results demonstrate high efficiency, stable operation, and substantial VG, validating the converter’s feasibility for renewable energy systems (RES).
Volume: 17
Issue: 1
Page: 476-486
Publish at: 2026-03-01

A new boost LED driver

10.11591/ijpeds.v17.i1.pp602-616
Dzhunusbekov Erlan , Orazbayev Sagi
Reducing the cost, increasing efficiency, and improving the reliability of LED drivers are critical due to the widespread adoption of LED lighting. This paper presents a research study on a novel boost LED driver designed to minimize voltage pulsations across power switches, thereby reducing dynamic losses in all power components. A small number of Schottky diodes were used to reduce conduction losses. To reduce switching losses in semiconductors, a quasi-resonant switching (QRS) at zero current was implemented for driving transistors. The operating principle is analyzed using computer modeling and validated experimentally in critical conduction mode (CrCM). In the initial evaluation, one version of the proposed driver achieved a high efficiency of up to 98.7% at 120 W input power. Additionally, the size and value of the main inductor were significantly reduced. The proposed driver provides an efficient and scalable solution for high-power LED lighting. Lower dynamic losses and reduced impulse voltages create opportunities for integrating the control circuit and power switches into a single chip.
Volume: 17
Issue: 1
Page: 602-616
Publish at: 2026-03-01

A novel adaptive constant power optimal efficiency control strategy for bidirectional DS-LCC wireless charger

10.11591/ijpeds.v17.i1.pp653-662
Jiabo Yan , Mohd Junaidi Abdul Aziz , Nik Rumzi Nik Idris , Mohammad Al Takrouri , Tole Sutikno
This paper presents a novel adaptive constant power optimal efficiency control (ACPOEC) strategy that enables efficient constant power (CP) charging in a double-sided inductor-capacitor-capacitor (DS-LCC) wireless charger. The proposed control strategy is built upon triple-phase-shift (TPS) modulation and employs a pre-computed lookup table derived from offline optimization to achieve CP charging with corresponding optimal efficiency. The CP charger with the proposed strategy can eliminate switch-controlled capacitors (SCCs) in the topology. The proposed strategy is validated through simulation studies, achieving an efficiency range of 90.72% to 92.46%, which is also competitive with other advanced CP wireless charging systems. Compared with existing state-of-the-art CP wireless charging techniques, the wireless CP charger with the proposed ACPOEC strategy features a simplified topology, bidirectional power transfer capability, and competitive efficiency performance.
Volume: 17
Issue: 1
Page: 653-662
Publish at: 2026-03-01

Design and improvement of dynamic performance of solar-powered BLDC motor for electric vehicles in agricultural applications

10.11591/ijpeds.v17.i1.pp168-179
Savitri Medegar , M. Sasikala
One of the most pressing environmental problems is the rapid increase in the production of greenhouse gases by transportation vehicles. This paper looks into SPEVs, or solar-powered electric vehicles. The answer to the problems of transportation-related pollution and fuel usage. In an electric vehicle, the power comes from a battery that may be charged by solar panels or any other external power source. By making use of the perturb and observe (P&O) maximum power point tracking (MPPT) controller, one can achieve maximum power. The DC voltage that the photovoltaic module produces is amplified when it is fed into a voltage source inverter (VSI) via this enhanced output. The tool for the job here is a buck-boost converter. To power their wheels, EVs rely on brushless direct current (BLDC) motors and variable speed inverters (VSIs), which transform DC power from solar panels into AC power. We compare the efficiency of electric vehicles (EVs) attained by raising converter voltages and battery state of charge (SoC) using a PI controller, and we look at the performance of photovoltaic (PV) and brushless linear direct current (BLDC) motors. We use MATLAB/Simulink to do the validation.
Volume: 17
Issue: 1
Page: 168-179
Publish at: 2026-03-01

A framework for robust PID controller design: an optimization-based approach for inductive loads

10.11591/ijpeds.v17.i1.pp359-369
Ali Abderrazak Tadjeddine , Miloud Kamline , Latifa Smail , Soumia Djelaila , Hafidha Reriballah
This paper presents a comprehensive comparative study of proportional-integral-derivative (PID) controller tuning methodologies for inductive load applications across three representative scenarios. We systematically evaluate classical methods (Ziegler-Nichols, internal model control) against global optimization algorithms (genetic algorithm (GA), particle swarm optimization (PSO)) applied to resistor-resistor-inductor (RRL) circuit models. Results demonstrate that PSO achieves superior performance for moderate-to-slow systems, reducing settling time by 84% while completely eliminating overshoot compared to Ziegler-Nichols. The algorithm automatically discovers optimal PI controller structures, simplifying implementation. However, for ultra-fast systems (time constants < 1 ms), internal model control proves more reliable, achieving 0.84 ms settling with only 0.16% overshoot. Optimized controllers demonstrate exceptional robustness, maintaining stability under ±50% parameter variations and effectively rejecting disturbances. This research provides engineers with a scenario-based framework for method selection, moving beyond heuristic tuning to achieve previously unattainable performance levels. The findings establish optimization-based tuning as a systematic, reliable approach for high-performance control system design in industrial applications.
Volume: 17
Issue: 1
Page: 359-369
Publish at: 2026-03-01
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