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28,296 Article Results

Performance comparison of core loss in induction motor using non-oriented electrical steels

10.11591/ijape.v14.i3.pp640-646
Chittimilla Shravan Kumar Reddy , Ezhilarasi Arivukkannu , Kartigeyan Jayaraman
Induction motor (IM) enjoy certain advantages that include simple design, robust construction, reliable operation, low initial cost, easy operation and simple maintenance besides offering reasonable efficiency. Modelling and definition of procedures leading to good estimation of core losses in induction motors from material test data is still a challenge, is considered as problem statement. The major objective of this paper is to estimate the core loss in an induction motor (IM) by analyzing a selection of non-grain oriented electrical steel materials and then identifying for each represented whether it can be used both as stator and rotor core material. As core loss is influenced by factors such as air gap, B-H theory, eddy currents and excess loss coefficients and Steinmetzuhl factor, this study is intended to improve the electromagnetic performance of the motor. Influencing core loss are the amounts of flux density and elasticity of material. This study was accomplished by using three sorts of non oriented electrical steel: DI MAX-M15, DI MAX-M19, and DI MAX-M36. A 5 HP induction motor was the subject for finite element method (FEM) simulations whose results have been verified by empirical relations, which show the merit of using non oriented electrical steel as core material.
Volume: 14
Issue: 3
Page: 640-646
Publish at: 2025-09-01

Mitigating mismatch power losses in photovoltaic systems under partial shading: a comparative study of series-parallel and alternative configurations

10.11591/ijape.v14.i3.pp588-599
Raghad Adeeb Othman , Omar Sharaf Al-Deen Yehya Al-Yozbaky , Ali Abbawi Mohammed Alabbawi
Utilizing the photovoltaic effect, photovoltaic (PV) systems are a popular technique for capturing solar energy and turning sunlight into electricity. However, environmental factors, especially shade, significantly impact photovoltaic system efficiency. Shadows cast on PV panels by surrounding structures, trees, accumulated dirt, clouds, and debris can seriously impair their performance. The purpose of this study was to investigate how shade affects photovoltaic systems utilized in residential settings. Series-parallel (SP) topology for PV system have been investigated. Additionally, in this work, a PV system of 5 kW of the residence home has been proposed and multi cases of shading examined. Through the results obtained when partial shading was applied, it was found that the highest efficiency of the system was when partial shading irradiance (Ir = 500 W/m2) was applied to one column (5 modules) as 82.84%, while the worst and least equipped case was when the shading was applied to the corners and random shading at (8 modules), where the efficiency decreased to approximately 39.24% and 40.64% respectively.
Volume: 14
Issue: 3
Page: 588-599
Publish at: 2025-09-01

Boost efficiency performance through the enhancement of duty cycle based MPPT algorithm

10.11591/ijape.v14.i3.pp541-550
Ahmed Badawi , I. M. Elzein , Walid Alqaisi , Al Hareth Zyoud
The use of direct power control (DPC) has become popular as an effective control strategy for pulse width modulated (PWM) converters. The incremental conductance algorithm (INC) is utilized to control the duty cycle (D) in tracking the optimal point to increase power efficiency in wind energy conversion systems (WECS). WECS parameters are adjusted to achieve unity power factor, allowing the system to extract maximum power (๐‘ƒ๐‘š๐‘Ž๐‘ฅ) from WECS. Simulation results show that wind speed has a significant impact on the captured power, with a proportional relationship between wind speed and power. Control strategies are employed to optimize the (D) to reach the desired operating point. A DC-DC boost converter is connected to WECS, where the (D) controls the MOSFET to maintain ๐‘‰๐‘œ๐‘ข๐‘ก at the optimal level on the DC link. Various wind speed profiles are simulated in this study to evaluate system efficiency, especially under conditions of rapid wind speed fluctuations. The controller based on (D) demonstrates superior tracking performance through the DC link, ensuring that ๐‘‰๐‘œ๐‘ข๐‘ก remains at an optimal level.
Volume: 14
Issue: 3
Page: 541-550
Publish at: 2025-09-01

Utilizing metaheuristic optimization with transfer learning for efficient colorectal carcinoma detection in biomedical imaging

10.11591/ijeecs.v39.i3.pp1693-1703
Lova Naga Babu Ramisetti , Desidi Narsimha Reddy , Harikrishna Pathipati , Yenumula Srividya , Swetha Pesaru
Colorectal cancer (CRC) is the third most popular cancer across the world. Its morbidity and death are reduced by early screening and detection. The screening outcomes are enhanced by computer-aided detection (CAD) and artificial intelligence (AI) in screening models. Contemporary imaging technologies such as near-infrared (NIR) fluorescence and optical coherence tomography (OCT) are implemented to identify the early-phase CRC of the gastrointestinal tract (GI tract) via the identification of morphological and microvasculature changes. Most recently, deep learning (DL)-based approaches have been used directly on raw data. Nevertheless, they are hampered by biomedical data deficiency. These studies can enhance metaheuristic optimization using the transfer learning to detect colorectal cancer successfully (MHOTL-ECRCD). The MHOTL-ECRCD method concentrates on biomedical imaging of CRC categorization and detection. MHOTL-ECRCD minimizes noise through the process of adaptive bilateral filtering (ABF). In MHOTL-ECRCD methodology, Inception-ResNet-V2 is adopted to learn the inherent and complicated image preprocessing features thus used during feature extraction. To classify CRC and detect it, the gated recurrent unit (GRU) approach is applied. Lastly, parameters of the GRU model are optimized with a human evolutionary algorithm. Good classification results of MHOTL-ECRCD are demonstrated by a number of benchmark dataset trials. MHOTL-ECRCD technology superseded the recent techniques as large volumes of comparison were made.
Volume: 39
Issue: 3
Page: 1693-1703
Publish at: 2025-09-01

Oxygen/sulphur self-doped tunnel-like porous carbon from yellow bamboo for advanced supercapacitor applications

10.11591/ijpeds.v16.i3.pp2030-2042
Erman Taer , Novi Yanti , Rahma Lia Putri , Apriwandi Apriwandi , Awaludin Martin , Julnaidi Julnaidi , Nidya Chitraningrum , Ahmad Fudholi , Rika Taslim
The 3D hierarchical pore structure with tunnel-like pores is essential to the performance of porous activated carbon (AC) materials used in symmetric supercapacitors. This study aimed to effect of adding (0.3, 0.5, and 0.7) M KOH reagent and heat treatment on the formation of 3D porous, tunnel-like AC derived from yellow bamboo (YB) through N2-CO2 pyrolysis at 850 ยฐC. The AC produced had a high concentration of nanopores, becoming a valuable storage medium with favorable physical-electrochemical properties. The results showed that 0.5-YBAC had the best physical and electrochemical properties, with a carbon purity, 89.16%, micro crystallinity of 7.374 ร…, and excellent amorphous porosity. Furthermore, 3D hierarchical pore structure, enriched naturally occurring heteroatoms, dopant of oxygen (10.14%) and sulfur (0.10%). A maximum surface area of 421.99 mยฒ gโปยน, along with a dominant combination of micro-mesopores. The electrochemical performance test of the 0.5-YBAC electrode showed a Csp of 214 F gโปยน, with Esp 24.7 Wh kgโปยน and Psp 19.2 W kgโปยน. In conclusion, this study showed the potential of YB stems to enhance the development of supercapacitors, offering superior porosity characteristics for efficient energy storage applications.
Volume: 16
Issue: 3
Page: 2030-2042
Publish at: 2025-09-01

An innovative design and development of multilevel inverter for a wind energy conversion system

10.11591/ijaas.v14.i3.pp751-760
Rosaiah Mudigondla , Thiruveedula Madhu Babu , Supriya Dachepalli , Anudeep Panjula , Md Yousuf Ali , Bakam Anirudh
The drawbacks of fossil fuel-based energy sources, including high costs, pollution, scarcity, and environmental damage, highlight how urgent it is to switch to renewable energy sources. Multilevel inverters (MLIs) are currently required for the production of wind electricity. In this research, to get a reduced harmonic distortion, use 31-level inverter based on shifted carrier-pulse width modulation (SC-PWM) is developed for wind power generation using MATLAB/Simulink. It aids in minimizing the total harmonic distortion (THD) to 3.20, and the output voltage is enhanced by the suggested MLI. Wind energy extraction is optimized by combining with a proportional integral derivative (PID) control system. MATLAB/Simulink has been used to make sure the MLI structure and look into the implementation of wind energy conversion systems using a permanent magnet synchronous generator (PMSG). In order to show that the suggested inverter architecture improves power conversion efficiency and stability in renewable energy systems, the study also examines power efficiency, system dependability, and the viability of large-scale applications. Additionally, the study investigates grid integration, modulation strategies, and switching losses to guarantee increased sustainability, dependability, and efficiency in wind energy applications while lowering operating costs.
Volume: 14
Issue: 3
Page: 751-760
Publish at: 2025-09-01

Comparative analysis of MPPT techniques for photovoltaic systems: classical, fuzzy logic, and sliding mode approaches

10.11591/ijape.v14.i3.pp688-700
Mohamed El hafydy , Mohamed Benydir , Elmahni Lahoussine , Elmoutawakil Alaoui My Rachid , Youssef Oubail
This study presents a comprehensive comparative analysis of maximum power point tracking (MPPT) strategies for photovoltaic systems, focusing on the classical perturb and observe (P&O) method, an artificial intelligence based fuzzy logic controller (FLC), and a robust sliding mode control (SMC) technique. These methods aim to maximize power output by dynamically adapting to rapid and unpredictable environmental variations, such as changes in solar irradiance. Simulations performed the MATLAB/Simulink environment under diverse real-world scenarios demonstrate that SMC and FLC outperform the conventional P&O approach, particularly under conditions of sudden and severe environmental in fluctuations. The findings highlight the advanced controllersโ€™ ability to sustain optimal power extraction, minimize energy losses, and maintain system stability across varying operating conditions. These results underscore the potential of SMC-based MPPT systems to enhance the efficiency and resilience of renewable energy applications, making them highly viable for deployment in real-world scenarios characterized by volatile environmental conditions.
Volume: 14
Issue: 3
Page: 688-700
Publish at: 2025-09-01

Model predictive control based frequency regulation of microgrid with integration of distributed energy resources

10.11591/ijape.v14.i3.pp551-559
Sarbjeet Kaur , Surbhi Gupta
Power generation sector has become more prevalent in the use of renewable energy sources resulting in more complex and non-linear network. Microgrids are becoming the best alternative solution in remote areas where the distribution network is infeasible. However, the intermittent nature of distributed renewable energy resources can result in a generation and demand mismatch instigating frequency variation which is a crucial concern. Thus, modern power system requires increasing intelligence and flexibility to cope up with the generation-load mismatch. Efficient control techniques are of vital importance in maintaining the frequency near the nominal value, and the selection of the controller is crucial in maintaining the reliable, effective, and steady functioning of the power system. The present study demonstrates frequency control in islanded microgrid with disruptions in load demand using the model predictive control by efficiently managing the energy storage with integration of large-scale renewable energy sources. The effectiveness and superiority of the proposed model predictive controller (MPC) is presented by comparing its performance with proportional integral controller and proportional integral tuned with adaptive neuro fuzzy inference system (ANFIS) through simulations in MATLAB environment.
Volume: 14
Issue: 3
Page: 551-559
Publish at: 2025-09-01

Investigation of DC-AC converter control techniques with enhanced MOSFET gate driver

10.11591/ijape.v14.i3.pp676-687
Elmourabit Bouazza , Akaaboune Jalil , Oulaaross Mohamed , Benchagra Mohamed
To promote the use of photovoltaic (PV) systems and reduce costs, it is crucial to develop innovative approaches for grid integration, thereby contributing to global power generation. This article presents the development of an integrated power circuit using the TOSHIBA-TLP350 as a gate driver for the implementation of a single-phase H-bridge inverter, combined with inductorโ€“capacitorโ€“inductor (LCL) filters. This circuit was designed and controlled using a high-frequency pulse width modulation (PWM) signal generated by an ATmega328P microcontroller board, with a predefined program, to facilitate the filtration and reduction of both current and voltage harmonics present at the output of the filters. The study primarily focuses on a grid-connected mode of operation but also demonstrates adaptability to the islanded mode. The proposed application in this article can be adapted to other renewable energy conversion systems. The effectiveness of this achievement is demonstrated through detailed experimental results, highlighting the potential benefits for cost reduction and performance improvement of photovoltaic systems.
Volume: 14
Issue: 3
Page: 676-687
Publish at: 2025-09-01

Effect of DC link capacitor short-circuit on an inverter fed induction motor performance

10.11591/ijape.v14.i3.pp631-639
Cheikh Oudaa , Ethmane Isselem Arbih Mahmoud , Mohamed Amine Khelif , Ahmed Mohamed Yahya , Bendiabdellah Azeddine , Abdel Kader Mahmoud
Induction motors are widely used in industrial power plants because of their durability, reliability and high performance under different operating conditions of the electrical system. It is also important to note that most of these motors are controlled by variable frequency drives. By adjusting the drive parameters, the motor can be managed according to design. The reliability of motor control systems based on variable speed drives is therefore crucial for industrial applications. Unlike induction motors, the power supply components of these electrical machines are delicate and susceptible to faults. To enhance the performance of the control-motor system, it is essential for researchers to understand how faults affect the drive system as a whole. In this context, this paper addresses short-circuit faults in the intermediate circuit capacitor of an induction motor driven by an inverter. The simulation results of these capacitors faults are presented, and their impact on the behavior of the rectifier, the inverter, and the induction motor is analyzed and interpreted.
Volume: 14
Issue: 3
Page: 631-639
Publish at: 2025-09-01

Design of a binary weighted multilevel voltage source inverter for renewable energy purposes

10.11591/ijape.v14.i3.pp712-721
Abdulkareem Mokif Obais , Ali Abdulkareem Mukheef
The flexibility and linearity of renewable energy generation techniques motivate the efforts to find high-performance circuitries capable of integrating the generation stations of renewable energy with the utility grid. As a result of its potential for power modules exploited in new generations of semiconductor switching devices, the voltage source inverter (VSI) has become widespread in the applications of renewable energy systems. In this paper, a new configuration of multilevel VSI is introduced. It is constructed of a unidirectional voltage supply having 15-nonzero levels and feeding a single-phase VSI equipped with an extra-freewheeling circuit. The output voltage of this configuration has 31 different voltage levels following a sinusoidal path. The unidirectional voltage supply is built of eight solid-state switching devices and four binary weighted DC voltage sources, which are realized by using appropriate solar panels. The simulation results of the introduced configuration have revealed almost sinusoidal output voltage and current for both inductive and resistive appliances. The number of employed switching devices is largely reduced compared to a conventional multilevel VSI. No harmonic reduction circuit or traditional pulse width modulation technique is employed in the current design. This system is designed and tested on PSpice.
Volume: 14
Issue: 3
Page: 712-721
Publish at: 2025-09-01

Parallel operation of transformers to optimize a 33 KV loop of power system

10.11591/ijape.v14.i3.pp579-587
Ethmane Isselem Arbih Mahmoud , Ahmed Abbou , Abdel Kader Mahmoud
This research investigates the viability of a perpetually scalable generation system to accommodate the anticipated growth in domestic load demands on the 33 kV loop network over the period from 2025 to 2040. This is achieved by analysis current situation of network through the voltages, loading lines, and transformers, within the permissible loading limits of the system. In this context, it is assumed that the loop is supplied by an ideal infinite power source. A numerical model utilizing the Gauss-Seidel (GS) method is developed and executed within the PSS/E simulator. The current operational state of the network will be simulated, with a focus on analyzing the voltage profile, which is expected to remain within the range of 0.095 to 1.05 per unit (p.u.). Demand forecasts are based on industrial growth projections for the cities interconnected with the 33 kV loop. The simulation results will demonstrate the feasibility of increasing active power transmission while maintaining effective control over reactive power by the year 2040. Furthermore, solutions will be proposed to address the identified critical path issues. To meet the projected demand, these solutions will involve doubling the capacity of the existing transformers. The proposed system will mitigate load imbalances and stabilize voltage fluctuations by effectively managing rapid variations in reactive power demand. As a result, it improves power quality for industrial consumers.
Volume: 14
Issue: 3
Page: 579-587
Publish at: 2025-09-01

Implementation of fuzzy in DQ control of PV based inverter with plug-in electric vehicles

10.11591/ijape.v14.i3.pp666-675
Hanumesh Hanumesh , Arul Ponnusamy , Dhamodharan Selvaraj , Tanuja Koppa Shankaregowda , Venugopal Narasimhachar , Ananda Marilingappa Halasiddappa
In modern power systems, photovoltaic (PV) generation plays a vital role in sustainable energy supply. PV systems generate DC power, which is converted to AC using built-in converters for grid integration. The quality of power injected into the grid is crucial, especially in the presence of plug-in electric vehicles (PEVs) and non-linear loads, which introduce harmonics and dynamic disturbances. To enhance power quality, advanced control strategies are employed. This paper presents a comparative study of direct-quadrature (DQ) control techniques using traditional proportional-integral (PI) controllers and fuzzy logic controllers (FLCs) in a grid-connected PV system. The DQ control method simplifies the regulation of active and reactive power by transforming three-phase signals into a rotating reference frame. While PI controllers are widely used, they often struggle with non-linearities and load variations. FLCs, on the other hand, offer adaptive control without requiring precise mathematical models, making them more effective under dynamic conditions. The system under study includes PV generation, PEVs, and non linear loads. Performance metrics such as total harmonic distortion (THD), voltage stability, and power factor are analyzed. Results show that fuzzy controllers significantly improve power quality and system response.
Volume: 14
Issue: 3
Page: 666-675
Publish at: 2025-09-01

OFF-grid efficiency evaluation of an inverter dependent on solar PV generator in Iraq

10.11591/ijape.v14.i3.pp761-768
Bilal Abdullah Nasir , Kutaiba Khalaf Khaleel , Mohammed Ahmed Khalaf
The solar photovoltaic (PV) inverter weighted efficiency is more precise and favorable as it mainly deems the inverter output power properties when exposed to disparate solar PV irradiance. The European metrical efficiency (๐œ‚๐ธ๐‘ˆ๐‘…๐‘‚), presently, is the bulk broadly admissible in inverter efficiency calculation. This is due to, historically, the European countries have been the biggest exporters and spent of solar PV inverters everywhere in the world. The European efficiency (๐œ‚๐ธ๐‘ˆ๐‘…๐‘‚) is a concluded metric relying on a standardized European irradiance profile. However, the rendition weightings embedded in this metric may not be fully representative or appropriate for photovoltaic inverters deployed in regions characterized by different climatic conditions, particularly in equatorial and subtropical environments. Accordingly, this study aims to validate the proposed assumption and develop a novel metrical efficiency equation for inverters operating in the Iraqi climate, specifically Baghdad city, relying on the IEC 61683:1999 criterion and the inverter load-duration curve. The proposed formula, validated with field data from an SMA-SB-4000-TL inverter, estimated the energy outcome of a 5.0โ€ฏkW off-grid SPV system in Baghdad with a 2% deviation from measured values. These results validate the use of ฮท_EURO tailored to Baghdad conditions as a reliable alternative to ๐œ‚๐ธ๐‘ˆ๐‘…๐‘‚ or ๐œ‚๐‘€๐ด๐‘‹. This enhances the accuracy of system energy yield estimation, investment return calculations, and payback period assessment for solar PV systems.
Volume: 14
Issue: 3
Page: 761-768
Publish at: 2025-09-01

Potential as biogas energy and organic fertilizer: a mixture of rice husks and cow dung on full scale anaerobic digestion

10.11591/ijape.v14.i3.pp533-540
Hashfi Hawali Abdul Matin , Syafrudin Syafrudin , Suherman Suherman , Budiyono Budiyono , Iqbal Syaichurrozi
Rice husk is a biomass that can potentially be converted into biogas energy. In this research, a study was carried out regarding the effect of alkaline pretreatment and then a study related to the potential for developing biogas from rice husks in Indonesia and a study related to the potential utilization of biogas by-products in the form of slurry as solid organic fertilizer. So, the main objective is to determine the effect of alkaline pretreatment of rice husks on the potential development of rice husks as raw material for biogas production on a full-scale anaerobic digestion (AD). Research related to the effect of alkaline pretreatment using 3% NaOH by immersion in the substrate for 24 hours was carried out on a lab scale. The variable TS is set at 27%, C/N ratio is 35, uses a 2-liter digester, and measurements are carried out every other day for 60 days. Furthermore, the up-scale was carried out with an AD fixed dome model with a volume of 6 m3. In this study, it was found that pre-treatment with 3% NaOH increased biogas productivity by 1.6 times higher. The potential for rice husk to be converted into biogas energy can reach 3.5 million liters of biogas by 2022. The by-product of biogas in the form of slurry also has the potential to be used as solid organic fertilizer directly. Parameter tests that have been carried out show that the slurry in biogas from rice husks that have gone through a 60-day AD fermentation process complies with the Indonesian National Standard (SNI) 7763:2018 concerning solid organic fertilizers.
Volume: 14
Issue: 3
Page: 533-540
Publish at: 2025-09-01
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