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28,296 Article Results

Enhanced multi-mode control of Z-source virtual synchronous generator for photovoltaic systems using fuzzy logic controller

10.11591/ijape.v14.i3.pp701-711
Vempalle Rafi , Pradyumna Kumar Dhal , Shaik Hussain Vali , Sadhu Radha Krishna , Uppuluri Suryavalli , S. Vinoth John Prakash
An enhanced multi-mode control solution for a Z-source virtual synchronous generator (ZVSG) that makes use of a fuzzy logic controller (FLC) is proposed by this study for use in photovoltaic (PV) systems. As a potential grid integration option for PV systems, the ZVSG has great potential due to its steady and adjustable power production. A stable voltage and frequency output can be maintained by the ZVSG when it is running in a variety of modes, such as grid-connected, standalone, and islanding, according to the control approach that has been provided. The FLC is used for the purpose of controlling the switching frequency of the ZVSG as well as the DC-link voltage. The performance of the ZVSG is improved by the FLC-based control approach that has been proposed. This technique reduces the steady state error and offers a rapid dynamic response. The results of the simulation show that the recommendation for a control approach improves the performance of the ZVSG across a wide variety of operating modes and load conditions.
Volume: 14
Issue: 3
Page: 701-711
Publish at: 2025-09-01

Study of the development of tandem solar cells to achieve higher efficiencies

10.11591/ijape.v14.i3.pp647-655
Debani Prasad Mishra , Jayanta Kumar Sahu , Umamani Subudhi , Arun Kumar Sahoo , Surender Reddy Salkuti
Tandem solar cells are the brand-new age revolution within the photovoltaic (PV) enterprise thanks to their higher power conversion efficiency (PCE) capability as compared to single-junction solar cells, which are presently dominating, however intrinsically restrained. With the appearance of steel halide perovskite absorber substances, manufacturing extremely efficient tandem solar cells at an inexpensive price can profoundly regulate the future PV landscape. It has been formerly seen that tandem solar cells primarily based on perovskite have confirmed that they can convert mild more efficiently than stand-alone sub-cells. To reap PCEs of greater than 30%, numerous hurdles have to be addressed, and our understanding of this interesting era has to be accelerated. On this, a technique of aggregate of substances was followed and via a modified numerical technique, it was decided what preference of substances for the pinnacle and bottom sub-cell consequences in a better fee of electricity conversion efficiency (PCE). Through this study, it was discovered that the use of germanium telluride (GeTe) backside subcellular together with perovskite (MAPbI3-xClx) as pinnacle subcell can offer an excessive performance of 46.64% compared to a tandem mobile with perovskite (MAPbI3)/CIGS and perovskite (MAPbI3)/GeTe which produce decrease efficiencies. SCAPS-1D was used to evaluate and simulate the overall performance of the developed tandem cells.
Volume: 14
Issue: 3
Page: 647-655
Publish at: 2025-09-01

ANFIS and PI based performance analysis of three phase three wire distribution system for THD reduction

10.11591/ijape.v14.i3.pp752-760
Khammampati R. Sreejyothi , J. Jayakumar , P. Venkatesh Kumar
Due to the rising usage of nonlinear loads and power electronic devices in businesses, one of the key power system concerns today is inadequacy of power quality (PQ). This article presents compensation of current harmonics in distribution system in source side by using adaptive neuro fuzzy inferences system (ANFIS) controller. DSTATCOM optimized proportional integral (PI) controller and ANFIS regulator are utilized for DC link voltage regulation. The ANFIS controller showed better performance compared to PI controller during compensating harmonics time. This paper compared two control schemes results PI and ANFIS. Three-phase three-wire inverter is used for DSTATCOM circuit. In the results compared DC capacitor voltage and total harmonic distortion (THD) values of source current. The THD with PI controller is 7.92% while by using ANFIS controller it is reduced to 2.76%. The concert of proposed method is analyzed with MATLAB/Simulink software.
Volume: 14
Issue: 3
Page: 752-760
Publish at: 2025-09-01

Optimum control and design of a small hydro power plant for agriculture investment in Iraqi desert

10.11591/ijape.v14.i3.pp560-568
Jamal Ahmed Hameed , Thamir Hassan Atyia , Saba Fadhil Ahmed Jaf , Zubaidah Ghaze Abdulkareem , Ghanim Thiab Hasan
The aim of this paper is to conduct a mathematical and physical analysis to get a systematic treatment of design parameters and thus optimize water wheels. By today's standards, one finds empirical formulas instead, which take into account the practical experience of previous constructions, estimates of particular wheelbase shapes and sizes. So, based on the basic design and optimization standards for water wheels implementation, this paper attempts to design a water wheel power source in desert areas. Since the water wheels mainly use the gravitational force of water, there is only a slight hydrodynamic power losses. In addition to the high torque due to the large inertia of the water wheel. The obtained results indicate that the optimum operating range of the trailing water wheels is at a diameter of (2-7 m) and the Q water flow of about (0.1 m3/s). So, it can conclude that the implementing design has good efficiency and offer an economic benefit when use for the agriculture investment in desert areas.
Volume: 14
Issue: 3
Page: 560-568
Publish at: 2025-09-01

The application potential of net zero energy building using rooftop photovoltaics case study of apartments in Gorontalo Province

10.11591/ijape.v14.i3.pp743-751
Abdi Gunawan Djafar , Niniek Pratiwi , Yasin Mohamad , Zhiqiang John Zhai
Gorontalo Province is one of the developing regions in Indonesia. The province has been actively building apartments since 2009. The construction increases population density and energy use intensity. Consequently, demand for electricity power rises. Renewable energy such as rooftop photovoltaics has the potential as a power source for the apartments, considering the abundant solar radiation in Gorontalo which is located near the equator line. Three apartments representing three levels of the inhabitant’s income are selected as study case for the application of photovoltaic (PV) on roof to achive net zero energy building. Simulation of PV energy to power the buildings is conducted using photovoltaic geographical information system (PVGIS). By utilizing monthly electrical bill data, it is found that PV on roof is sufficient to cover the building energy demand and achieve net zero energy building (NZEB). However, there is uncertainty of the fluctuation of energy demand due to the tenant’s energy consumption behaviour. The consumption intensity is limited only by the installed power on each apartment unit. PV on roof alone is unable to provide the need if it is employed to power the unit to the maximum extent.
Volume: 14
Issue: 3
Page: 743-751
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 controllers’ 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

Battery cycle life and throughput optimization in wireless communication system with energy harvesting capability

10.11591/ijape.v14.i3.pp600-612
Omar Enassiri , Youssef Rochdi , Ouadoudi Zytoune
This research paper proposes a novel approach to address the energy challenges faced by internet of things (IoT) devices. The wireless communication system involves a transmitter equipped with energy harvesting module that charges both a rechargeable battery and a capacitor through an energy storage management system (ESMS). This ESMS is based on a reinforcement learning algorithm to dynamically switch between the battery and the capacitor, ensuring efficient power utilization. This reinforcement learning algorithm enables the device to learn and adapt its energy consumption patterns based on environmental conditions and usage, optimizing energy usage over time. Additionally, the system employs a rainflow counting method to estimate the state-of-health (SoH) of the battery, ensuring its longevity and overall system performance. By combining these approaches, the proposed system aims to significantly improve the energy efficiency and lifespan of IoT devices, as well as the amount of data sent for different temperature ranges, ultimately enhancing their cost-effectiveness and performance.
Volume: 14
Issue: 3
Page: 600-612
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

Fractional order PID controlled hybrid Cuk converter for electric vehicle

10.11591/ijape.v14.i3.pp733-742
Nallamilli P. G. Bhavani , S. Dinakar Raj , K. Sujatha , N. Navaprakash , D. Ezhilarasan
Choosing the right controller with the right approach is one of any power converter's biggest concerns. In order to optimise induction heating, a hybrid Cuk converter with a fractional-order proportional integral derivative (FOPID) controller is built. The findings show an improved time domain responsiveness in the FOPID controlled closed-loop hybrid DC-DC converter (CDHC) system. In order to improve the interface between the resonant inverter and DC source and to step up voltage with less output ripple, Cuk converters are used. The research project is concerned with modelling and simulating a hybrid closed-loop DC converter system. The findings show an improved time domain responsiveness in the FOPID controlled CDHC system. The suggested approach offers advantages such as high-power density and buck boost capability. After being inverted, the Cuk converter's output is applied to a DC load. The time responses of the closed loop proportional integral (PI) and FOPID controlled homogeneous charge compression ignition (HCCI) systems are compared. The hardware is implemented and tested for the CDHC system for electric vehicles. The results indicate that the FOPID controlled CDHC system has enhanced time response and benefits such as high-power density buck boost ability.
Volume: 14
Issue: 3
Page: 733-742
Publish at: 2025-09-01

Large language models and retrieval-augmented generation-based chatbot for adolescent mental health

10.11591/ijaas.v14.i3.pp849-858
Andi Riansyah , Imam Much Ibnu Subroto , Intan Nur'aini , Ratna Supradewi , Suyanto Suyanto
Access to fast and efficient information is crucial in today's digital era, especially for teenagers in obtaining mental health services. The manual method used by Youth Information and Counselling Centre (PIK R) to provide mental health information requires significant time and effort. This research presents an AI-based solution by developing a chatbot system using retrieval-augmented generation (RAG) and large language models (LLM). This chatbot is designed to provide accurate and effective mental health information for teenagers throughout the day. An analysis of a dataset consisting of articles on teenage mental health and data from the Alodokter website was used as the basis for the development of this chatbot. The research results show that the chatbot is capable of providing relevant and accurate information, with evaluations using the recall-oriented understudy for gisting evaluation (ROUGE) score method yielding an average of ROUGE-1 with a precision of 87.8%, recall of 83.0%, and F1-measure of 84.0%; ROUGE-2 with a precision of 82.8%, recall of 76.8%, and F1-measure of 78.2%; and ROUGE-L with a precision of 88.0%, recall of 82.6%, and F1-measure of 83.4%. These findings indicate the potential use of chatbots as an effective tool to support the mental health of adolescents.
Volume: 14
Issue: 3
Page: 849-858
Publish at: 2025-09-01

Implementing fuzzy control for a DC-DC boost converter using FPGA

10.11591/ijape.v14.i3.pp656-665
V. Radhika , Karuppannan Srinivasan , R. Kiruba
This research explores the use of field programmable gate arrays (FPGA) to mitigate static voltage errors and reduce voltage spikes in DC-DC boost converters. Given the dynamic nature of the load impedance in these converters, FPGA is well-suited for designing systems with adaptive behavior. The study implements a fuzzy control algorithm on FPGA in a simulation environment with a small sampling period. The parallel processing capability of FPGA enables the simultaneous execution of fuzzy control algorithms, enhancing the system's responsiveness to rapid changes in load conditions. This approach minimizes voltage overshoot and effectively suppresses voltage spikes. By leveraging FPGA’s high-speed parallelism and flexibility, the research demonstrates significant improvements in the dynamic performance of the DC-DC boost converter. The results highlight FPGA’s potential as a robust platform for controlling power electronic systems, ensuring improved stability and efficiency under varying load conditions.
Volume: 14
Issue: 3
Page: 656-665
Publish at: 2025-09-01

Evaluation of sensorless VF-MRAS and FOC-MRAS of IM electrical drive system

10.11591/ijape.v14.i3.pp513-521
Moustapha Diop , Abdoulaye Kebe , Ibrahima Gueye
This paper evaluates the performance of sensorless vector and scalar control methods, namely field-oriented control-based model reference adaptive system (FOC-MRAS) and voltage frequency-based model reference adaptive system (VF-MRAS), applied to an induction motor (IM) driven by a space vector modulation inverter. In motorized systems, conventional control methods use mechanical sensors, which can be cumbersome and costly. To overcome these limitations, sensorless control techniques based on speed estimation have been introduced. In this paper, MRAS-based sensorless speed control for IM drives using rotor flux is used. This adaptive system uses a reference model based on rotor flux and implements closed-loop control. The estimated speed derived from the current and voltage models is compared to the desired speed and adjusted by the proportional-integral (PI) controllers. The performances of the approaches are evaluated in terms of speed regulation and minimization of electromagnetic torque and rotor flux ripples, through a comparative analysis of sensor and sensorless controls under various operating conditions, including variable loads and speed reversal. The simulation results obtained, using consistent criteria for both methods, confirm the effectiveness of sensorless control.
Volume: 14
Issue: 3
Page: 513-521
Publish at: 2025-09-01

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

A versatile three-level CLLC resonant converter for off-board EV chargers with wide voltage adaptability contribution

10.11591/ijpeds.v16.i3.pp1775-1788
Chandra Babu Guttikonda , Pinni Srinivasa Varma , Malligunta Kiran Kumar , Kambhampati Venkata Govardhan Rao , Rakesh Teerdala , Santoshi Kanagala
The vehicle-to-grid (V2G) concept has gained significant attention in the last decade due to its potential to enhance direct current (DC) microgrid stability and reliability. Electric vehicles (EVs) play a central role in distributed energy storage systems, optimizing efficiency and enabling the integration of renewable energy sources. This study offers a unique three level CLLC resonant converter developed for off-board EV chargers to promote bidirectional power transfer between DC microgrids and EVs. The suggested converter uses resonant CLLC components and two three-level full bridges to effectively handle a broad range of EV battery voltages (200 V–700 V). To ensure effective power conversion, the first harmonic approximation (FHA) model is used to analyse the converter's resonant frequency characteristics. The proposed system achieves high efficiency (>95%), with voltage stability maintained at 750 V under various load conditions. The converter's performance was validated through MATLAB based simulations, comparing proportional integral (PI) and proportional integral derivative (PID) control strategies. The PID-controlled system demonstrated superior dynamic response, reduced current ripples, and enhanced voltage regulation compared to the PI-controlled system. This study demonstrates the viability of implementing a three-level CLLC resonant converter for efficient, bidirectional, and wide-voltage adaptation in EV charging infrastructure, thereby contributing to grid stability and renewable energy integration.
Volume: 16
Issue: 3
Page: 1775-1788
Publish at: 2025-09-01
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