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30,609 Article Results

Adaptive P&O algorithm for fast and acurate maximum power point tracking for PV system

10.11591/ijape.v15.i2.pp590-599
Fathurrahman Fathurrahman , Rika Sri Utami , Akhyar Akhyar , Khairun Saddami
In this study, we proposed an adaptive perturb and observe (P&O) algorithm designed for efficient maximum power point tracking (MPPT) in photovoltaic (PV) systems. This method addresses key challenges in solar energy systems, including variability in solar irradiation and partial shading conditions. The proposed method introduced a dynamic and adaptive in adjusting the step size of the P&O as it nears the maximum power point (MPP), enhancing tracking precision and reducing energy losses. To show the ability of the proposed, we compared it with the conventional P&O and GWO & P&O. The proposed adaptive P&O MPPT algorithm consistently maintains near ideal tracking efficiency of ≈99.7% across various irradiance scenarios, significantly outperforming conventional P&O, which drops to 74.45% under partial shading. Overall, it achieves an average efficiency of 99.71%, surpassing hybrid P&O GWO (99.52%) and conventional P&O (91.30%), demonstrating superior reliability and energy harvesting performance. The results indicated that the proposed could reduce power deviations and obtain greater accuracy in detecting MPP. The study confirms the method's potential for optimizing energy extraction and suggests further refinement for broader applicability. This advancement represents a significant step in enhancing the reliability and efficiency of PV systems in both grid-connected and off-grid applications.
Volume: 15
Issue: 2
Page: 590-599
Publish at: 2026-06-01

Adaptive telematics integration for enhanced EV fleet management and data acquisition

10.11591/ijape.v15.i2.pp808-817
Kavitha Kumaraswamy , Pasumarthi Usha , S. Ashok Kumar , Deekshitha Arasa , Suganthi Neelagiri
Telematic control units (TCUs) and on-board diagnostics (OBD-II) systems are commonly used to monitor vehicles and enable real-time communication. However, traditional OBD-II systems provide limited data, making it difficult to accurately detect faults and analyze performance, especially in hybrid, flex-fuel, and electric vehicles. A TCU is an embedded system installed in vehicles that enables wireless communication with external networks. This paper introduces a standalone device designed to seamlessly integrate with electric vehicles (EVs) by utilizing TCU capabilities to enhance data acquisition. The TCU uses a combination of sensors to collect important real-time vehicle data, such as GPS location, battery charge level, and voltage levels. The collected data is processed to generate meaningful insights that support decision-making and system optimization. The proposed system uses the TCU as a core component to transmit real-time data to a fleet management system (FMS). By providing enhanced data to the FMS, the system improves diagnostic accuracy, strengthens EV safety monitoring, and enables more efficient fleet management across diverse vehicle types. This approach allows deeper monitoring of EVs and improves overall fleet efficiency. The framework offers a cost-effective and scalable solution for advanced monitoring and optimization of electric vehicle fleets.
Volume: 15
Issue: 2
Page: 808-817
Publish at: 2026-06-01

Hydroelectric power generator using vertical axis turbine with adaptive blades

10.11591/ijape.v15.i2.pp636-645
Rizki Nurilyas Ahmad , Soraya Komala Firdaus , Mohammad Nasrul Mubin , Hasyim Asy'ari , Tindyo Prasetyo , Iqbal Reza Pradana
The implementation of micro-hydro power plants (MHPPs) offers a strategic solution for achieving energy independence, particularly within remote communities. This study proposes the development of a hydroelectric power generator with a vertical axis turbine, designed not only as a source of clean energy but also to minimize visual pollution. The system maximizes submerged components, thereby reducing its visual impact. Although MHPPs technology is widely applied to address electrification challenges in remote areas, the system proposed in this study, with its components predominantly submerged below the water surface, offers a visually unobtrusive solution that is also well-suited for urban environments. However, conventional locked-blade turbines often experience significant efficiency losses due to counter-flow pressure acting on blades moving against the water stream, highlighting the need for an adaptive mechanism to minimize drag and optimize energy capture. The hydroelectric power generator using vertical axis turbine with adaptive blades consistently demonstrated better performance than a system using locked blades. The adaptive-blade configuration outperformed the locked-blade system, exhibiting a 5.1% increase in average turbine efficiency and a 3.5% improvement in overall system efficiency.
Volume: 15
Issue: 2
Page: 636-645
Publish at: 2026-06-01

Technological and philosophical perspectives on photovoltaic electric bicycles for sustainable mobility

10.11591/ijape.v15.i2.pp905-914
Endang Susanti , Azriyenni Azhari Zakri , Antonius Rajagukguk
This paper investigates photovoltaic-based electric bicycles (PV e-bikes) as sustainable transportation solutions through integrated technological and ethical analysis. Our systematic literature review and mathematical modeling examine technological advancements, environmental benefits, and implementation challenges. Key findings reveal PV e-bikes can extend travel range by 20.5 km on sunny days and reduce annual grid charging needs by 93% in optimal locations. Advanced perovskite solar cells achieving 25.7% efficiency show promise for revolutionizing on-the-go charging. Mathematical analysis reveals optimal PV panel sizing requires 45-225 W capacity depending on integration approach, with battery technologies ranging from LiFePO₄ (2000-4000 cycles) to advanced lithium-ion systems. However, critical challenges persist including partial shading effects reducing efficiency by 65-82%, weather-dependent performance variations, and initial production costs of $467-900. The study addresses specific gaps in previous research by developing a comprehensive framework integrating technical performance metrics with ethical considerations. Novel contributions include: i) mathematical modeling of PV-battery optimization for e-bike applications, ii) systematic analysis of partial shading mitigation strategies, and iii) philosophical framework addressing social justice implications. Results demonstrate that while PV e-bikes offer significant environmental benefits, their widespread adoption requires addressing technological limitations, cost barriers, and equitable access concerns.
Volume: 15
Issue: 2
Page: 905-914
Publish at: 2026-06-01

Stochastic planning for feeding a green hydrogen plant into an isolated network

10.11591/ijape.v15.i2.pp744-759
Michael Salcedo , Mario A. Rios
In recent years, an electrochemical process called electrolysis has gained prominence. This process uses water and electricity as its main sources, significantly reducing the carbon footprint of hydrogen production. Additionally, colors have been assigned to represent the source of hydrogen production in a simple way. For example, green refers to hydrogen produced by electrolysis using electricity generated from non-conventional renewable energy sources (NCRES). For plants not connected to the national grid, the connection of a green hydrogen plant requires that NCRES be connected to an isolated electrical grid. In these cases, the power supply will depend on the variability of the source. This paper presents the methodology to plan and size the main components of the wind power plant and the battery energy storage system (BESS) to ensure that the electrolyzer constraints can be met during the studied period. Furthermore, it introduces a novel methodology that uses the autoregressive moving average (ARMA) model to generate a sequential Monte Carlo simulation along with dynamic optimization. This approach allows for the sizing of the wind power plant and BESS, considering the stochastic behavior of the wind.
Volume: 15
Issue: 2
Page: 744-759
Publish at: 2026-06-01

Utilization of BSA optimized cascade controller in a renewable energy-based AGC systems

10.11591/ijape.v15.i2.pp546-553
Rambabu Kasukurthi , R. Srinu Naik
A novel cascade controller named proportional integral derivative-tilt integral derivative (PID-TID) is proposed for a two-area thermal-wind automatic generation control (AGC) system and its gains are optimized by a novel metaheuristic bird swarm algorithm (BSA). The BSA tuned PID-TID controller enhances dynamics over PID and TID controller in terms of settling time and peak shoots. Moreover, dynamics with wind integration have shown significant improvement over thermal system alone. Further system has shown enhanced dynamics with redox flow batteries (RFB) over thermal-wind system. Furthermore, studies with automatic voltage regulation (AVR) strengthen voltage stability. Also, responses with PID-TID have shown steady dynamic profile at various loading conditions. Integrating wind energy into thermal system results in significant enhancements in dynamics showcasing greater stability. Also, improvements are evident with the RFB introduction, enhance dynamic with in hybrid system. The incorporation of AVR enhance voltage stability. The proposed PID-TID demonstrates significant robustness ensuring stable response under loading condition and effectively boost dynamic performance.
Volume: 15
Issue: 2
Page: 546-553
Publish at: 2026-06-01

Evaluating socioemotional skill interventions for preschool children with autism spectrum disorder: a systematic review

10.11591/ijere.v15i3.38875
Richard Rickie Akat , Suziyani Mohamed , Nurul Khairani Ismail
This study aims to systematically review and synthesize recent empirical evidence on socioemotional skill interventions for preschool children with autism spectrum disorder (ASD) from an educational evaluation perspective. Guided by the preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework, a systematic search of Scopus and Web of Science (WoS) identified 15 peer-reviewed studies published between 2019 and 2025. The included studies were thematically analyzed and appraised using the mixed methods appraisal tool (MMAT). The findings revealed three dominant intervention themes: i) relationship-based and developmental interventions; ii) structured and skill-focused interventions; and iii) creative, expressive, and technology-supported approaches, demonstrating overall positive effects on socioemotional outcomes. However, the strength of evidence remains moderate due to methodological heterogeneity, small sample sizes, and limited longitudinal designs. These findings highlight the importance of developmentally appropriate and flexible intervention designs in inclusive early childhood education. The review offers practical implications for educators, curriculum developers, and policymakers. Specifically, it emphasizes the need for evidence-based socioemotional programs to strengthen inclusive preschool practices for children with ASD.
Volume: 15
Issue: 3
Page: 2021-2032
Publish at: 2026-06-01

Asegmentation based optical character recognition system for Bangla printed text

10.12928/telkomnika.v24i3.26961
Mahir; Bangabandhu Sheikh Mujibur Rahman Digital University Mahbub , Ahmedul; University of Dhaka Kabir
Bangla ranks as the fifth most spoken language globally, catalyzing significant interest in the development of Bangla optical character recognition (OCR) sys tems. The intricate structure of the Bangla script, including compound char acters, modifiers, and headlines, complicates the formation of words. This research introduces a complete OCR system pipeline for printed Bangla text. It employs a thinning-based segmentation approach combined with a convolu tional neural network (CNN) to recognize Bangla fonts. Additionally, a part of speech (POS)-aware spell checker is proposed that automatically corrects mis spelled words while considering their context within the sentence. We intro duce semi-generalized filters that adapt to new fonts, addressing conjunct for mation challenges in Bangla OCR. This flexible design allows for adaptation to new fonts. The ResNet50 model is utilized to accurately recognize segmented characters and modifiers. We achieve a character segmentation error of 3.354% and an overall segmentation error of 2.332%. The ResNet50 recognition model achieves an accuracy of 98.345%.
Volume: 24
Issue: 3
Page: 945-956
Publish at: 2026-06-01

Parameters optimization of solar PV cell using war strategy

10.11591/ijpeds.v17.i2.pp1418-1425
Radouan Gouaamar , Seddik Bri
Enhancing photovoltaic models' performance and dependability requires optimal parameter extraction. This paper presents a practical method for determining these values from experimental current-voltage data: the war strategy optimization algorithm. RTC France, PWP201, and STP6-120/36 are the three PV models to which the war strategy optimization algorithm was successfully applied. According to the findings, the RMSE values for RTC France were 0.0000077298; PWP201 was 0.0020528; and STP6-120/36 was 0.0014253. These results demonstrate the great potential of the warfare strategy optimization (WSO) to improve the accuracy of photovoltaic models and advance photovoltaic technology.
Volume: 17
Issue: 2
Page: 1418-1425
Publish at: 2026-06-01

Comparison of differential evolution optimization technique with other techniques in solving multi-objective optimal power flow

10.11591/ijape.v15.i2.pp663-673
Vineeta S. Chauhan , Jaydeep Chakravorty , Siddharthsingh K. Chauhan
Optimal power flow (OPF) is a complex, non-linear optimization problem focused on determining the steady-state operating parameters of power systems for economic and secure operation. The challenge intensifies due to numerous system constraints that must be satisfied simultaneously. Although various evolutionary algorithms (EAs) have been applied to OPF in recent decades, these algorithms often use unconstrained search strategies. A common approach to handle constraint violations is the static penalty function, which penalizes infeasible solutions. However, selecting suitable penalty coefficients typically involves time-consuming trial and error, affecting overall performance. This study explores the integration of advanced constraint handling (CH) techniques within the differential evolution (DE) framework to enhance the performance of optimal power flow (OPF) solutions. In particular, it looks at three approaches: a hybrid ensemble of two CH techniques (ECHT), a self-adaptive penalty method (SP), and superiority of viable solutions (SF). The IEEE 30-bus and IEEE-57 bus benchmark systems are used to evaluate the efficacy of these techniques under a variety of OPF goals, including lowering emissions and generation costs, cutting power losses, and enhancing voltage stability. We took into consideration both weighted-sum multi-objective and single-objective formulations. The simulation outcomes indicate that the proposed CH-DE approaches deliver robust and competitive optimization results, demonstrating improved constraint handling capabilities when compared to contemporary methods in the literature.
Volume: 15
Issue: 2
Page: 663-673
Publish at: 2026-06-01

Comparative analysis of PM6:L8-BO organic and inverted organic solar cell

10.11591/ijape.v15.i2.pp770-780
Karthika Krishnakumar , Ashish Grover , Pardeep Kumar
Advancements in solar technologies are driven by the pursuit of higher efficiency and reduced environmental impact. This study presents a comprehensive and comparative analysis of organic and inverted organic solar cells (OSC and IOSC), using the OghmaNano software for simulations and analysis. This work is specifically designed to compare conventional and inverted structures and understand how device engineering impacts performance metrics. When OSCs are characterized by a low work-function cathode on top, IOSCs feature a clear conductive oxide cathode at the bottom. The study focusses on extracting key electrical output, including short circuit current density (JSC), open-circuit voltage (VOC), fill factor (FF) and power conversion efficiency (PCE), through the calculated current-voltage characteristic (J-V). Various physical characteristics, such as thickness of different layers and materials deployed as electron transport layer (ETL) and hole transport layer (HTL), are systematically investigated. Diverse top and bottom electrodes, encompassing monothin and multithin layer configurations, are proposed. The study shows that IOSC achieves higher efficiency than OSC, reaching 21.60%, while using a multithin layer ZTZ (ZnO/TiOx/ZnO) as the bottom contact, demonstrating improved charge transport and overall efficiency.
Volume: 15
Issue: 2
Page: 770-780
Publish at: 2026-06-01

Development of groundwater level sensor for internet of things-based peatland fire monitoring

10.11591/ijape.v15.i2.pp915-926
Abdul Muid , Nina Siti Aminah , Maman Budiman , Mitra Djamal
Monitoring groundwater levels in peatlands is crucial for mitigating forest and land fires, which frequently occur in tropical regions. Current peatland groundwater level monitoring systems generally have limitations in their sensing range. Additionally, the lack of electricity and internet infrastructure around the monitoring sites presents another challenge. To address these issues, in this study, we developed a groundwater level sensor based on a float integrated with an optocoupler as a rotary encoder to monitor changes in water levels in real-time. The system is connected to an internet of things (IoT) platform through a LoRa communication module, powered by solar panels, enabling continuous wireless data transmission over a large range. To overcome the sensing range limitation, we developed a rotary encoder with a pulley driven by a long rope. Testing was conducted using transparent pipes with varying water levels to evaluate the sensor's performance. Experimental results showed that the sensor could measure water levels with a resolution of ±3.33 mm. This research provides a technique for measuring groundwater levels with an extended measurement range. Additionally, it produces a peatland fire risk monitoring system based on groundwater level parameters. It is expected can support peatland fire mitigation efforts more efficiently and effectively.
Volume: 15
Issue: 2
Page: 915-926
Publish at: 2026-06-01

Transient stability analysis of a new proposed hybrid PV-WTG microgrid for Tinghir power distribution

10.11591/ijape.v15.i2.pp449-463
Hicham Stitou , Mohamed Amine Atillah , Abdelghani Boudaoud , Mounaim Aqil
This work focuses on the transient stability of a hybrid photovoltaic and wind turbine generator (PV-WTG) system at the Tinghir 225/60/11 kV substation in Morocco. Results were obtained by evaluating the effects of the proposed configuration on power angle, frequency, voltage, and fault-clearing times in the system. The study examined key disturbances, including abrupt loss of renewable energy and major electrical faults. Analysis using ETAP demonstrated a power angle change of -55 degrees, 20 degrees greater than the normal operating point, which can be caused by the loss of PV and approaches the IEEE Std 421.5 stability limit. The maximum voltage variation was 6.1% for the PV and 2.7% for the WTG, exceeding the IEC 60034-1 limits of ±5%. Another major finding of this analysis was that WTG loss induces frequency swings of 0.8 Hz and requires 10 to 15 seconds for recovery, indicating that low-inertia systems have insufficient inertia to return to steady state quickly. Therefore, the study demonstrates that adaptive control approaches must be used to achieve stable operation of hybrid connected microgrids. Using the time domain simulation (TDS) process, we calculated the critical clearing time (CCT) of 155 ms for 3-phase faults and 464 ms for line-to-ground faults, all of which are within the CCT limit set by IEEE Std 3002.2, and this confirms the necessity of urgent clearing of faults to maintain transient stability and demonstrates the need for fast protection and adaptive control in low-inertia systems, which is of particular concern in rural grids.
Volume: 15
Issue: 2
Page: 449-463
Publish at: 2026-06-01

Techno-economic assessment of gas engine power plants penetration in a power grid

10.11591/ijape.v15.i2.pp535-545
Adelhard Beni Rehiara , Frederik Haryanto Sumbung
This paper presents a techno-economic assessment of integrating engine power plants into a power grid, using the snake optimization (SO) algorithm to solve the multi-objective optimal power flow (OPF) problem. The study focuses on four key objectives: minimizing fuel costs, reducing voltage deviation, enhancing voltage stability, and minimizing active power losses. Simulations conducted on the 38-bus of Manokwari grid system demonstrate that the SO algorithm significantly improved performance in all areas. Fuel costs were reduced to 2.003 million USD/h while maintaining a stable voltage profile. Voltage deviation was reduced to 0.5577 p.u., ensuring better voltage consistency across the grid. Voltage stability was enhanced with a minimized Lmax value of 0.0200 p.u., and active power losses were reduced to 0.3423 MW, reflecting a notable increase in system efficiency. These findings demonstrate the effectiveness of integrating gas engine power plants, which led to noticeable improvements in operational efficiency and grid stability.
Volume: 15
Issue: 2
Page: 535-545
Publish at: 2026-06-01

Optimizing real-time energy control in hybrid low-voltage microgrids using a multi-agent approach

10.11591/ijape.v15.i2.pp505-513
Doha El Hafiane , Abdelmounime El Magri , Ilyass El Myasse , Adil Mansouri , Rachid Lajouad
This research proposes a real-time framework for energy management and control in hybrid low-voltage microgrids (LVMGs) through multi-agent systems (MAS). The proposed framework enables decentralized and autonomous coordination among renewable energy sources, energy storage systems, loads, and the utility grid to dynamically optimize power flows under varying operating conditions. Each agent adjusts its setpoints using local information while cooperating with other agents to achieve global objectives. The MAS is implemented using The Java Agent Development Framework (JADE) and co-simulated with MATLAB/Simulink to accurately represent the microgrid’s physical behavior. Simulation results under grid-connected and islanded modes demonstrate that the proposed approach increases renewable energy utilization by up to 10% and reduces total energy costs by 7.6% compared to conventional centralized control schemes. Moreover, the system exhibits strong adaptability and robustness in the presence of renewable intermittency and load fluctuations, ensuring reliable real-time operation. These results confirm that MAS-based control provides an effective, scalable, and resilient solution for real-time energy management in hybrid LVMGs.
Volume: 15
Issue: 2
Page: 505-513
Publish at: 2026-06-01
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