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30,609 Article Results

Design and performance evaluation of a soft-switched partial-power LLC converter for PV grid integration

10.11591/ijpeds.v17.i2.pp1130-1141
Sebin Davis Kurichiparambil , Varghese Jegathesan
This paper presents a soft-switched partial-power LLC converter integrated within a two-stage photovoltaic (PV) and grid-connected system. The proposed architecture combines the advantages of resonant operation and partial power processing to enhance conversion efficiency and reduce switching losses. Maximum power point tracking (MPPT) is achieved through frequency modulation of the LLC converter, while grid synchronization is maintained using a three-phase voltage-oriented control (VOC) inverter. Simulation results in MATLAB/Simulink demonstrate stable zero voltage switching (ZVS) and zero current switching (ZCS) across a wide irradiance range (400-1000 W/m²), enabling the system to achieve peak efficiencies above 98%, which is superior to typical transformerless and interleaved converter topologies reported in recent literature. The proposed soft-switched PPC-LLC architecture offers an efficient and scalable solution for next-generation PV grid interfaces by combining reduced processed power, robust resonant operation, and high-quality grid integration.
Volume: 17
Issue: 2
Page: 1130-1141
Publish at: 2026-06-01

A hybrid AEGAN-PDO strategy for power quality enhancement in PV-based distributed generation with stacked multi-cell converter

10.11591/ijpeds.v17.i2.pp1326-1338
B. N. Subhashini , P. Pramila
Conventional power plants pose a threat to the environment because of their substantial carbon emissions. Photovoltaic (PV) systems are becoming more and more popular as a sustainable alternative for clean electricity generation. However, because weather and environmental factors vary, partial shadowing affects PV output. The stacked multi-cell converter (SMC) provides a practical way to improve power extraction under these circumstances. This paper suggests a hybrid control approach for a photovoltaic (PV)-based distributed system (DS) using an SMC that is based on the attentive evolutionary generative adversarial network (AEGAN) and prairie dog optimization (PDO) algorithm. The AEGAN forecasts load requirements, while the PDO maximizes converter control to improve reliability, efficiency, and power quality (PQ). Under various load and irradiation circumstances, the system is modelled and verified in MATLAB/Simulink. Results from simulations show that the AEGAN-PDO approach performs better in both dynamic and steady-state situations. Transient disturbances on the load side are rapidly reduced with minimal overshoot. In contrast to traditional particle swarm optimization (PSO), ant lion optimizer (ALO), and archerfish hunting optimizer (AHO) controllers, AEGAN-PDO maintains the lowest THD (1.1%), least power loss (0.24 MW), and best efficiency (98.59%). These results validate the AEGAN-PDO approach as a reliable and effective way to operate renewable-integrated power systems in real-time, promoting improved PQ and grid dependability.
Volume: 17
Issue: 2
Page: 1326-1338
Publish at: 2026-06-01

High-efficiency two-stage LED driver with integrated PFC and LLC resonant converter for public lighting

10.11591/ijpeds.v17.i2.pp1084-1095
Marref Mohammed Amine , Seyf Eddine Bechekir , Mokhtaria Jbilou , Mostefa Brahami , Abdelber Bendaoud
This paper presents the design, implementation, and experimental validation of a 150 W two-stage light-emitting diode (LED) driver integrating a power factor correction (PFC) stage and a half-bridge LLC resonant converter for public lighting applications. The problem addressed is the insufficient power quality, limited efficiency, and poor harmonic performance of conventional LED drivers used in street lighting. The proposed method combines an advanced PFC front-end with an LLC resonant converter optimized using first harmonic approximation (FHA) to achieve high efficiency, stable output regulation, and soft-switching operation. Experimental results demonstrate a significant improvement in power quality, with the input current total harmonic distortion (THD) reduced from 134% to 17%, a near-unity power factor, a regulated LED output of 31.6 V/4.72 A, and a conversion efficiency exceeding 95%. The significance of this work lies in providing a high-performance, standards-compliant driver that supports reliable, energy-efficient, and grid-friendly public lighting with reduced operational costs.
Volume: 17
Issue: 2
Page: 1084-1095
Publish at: 2026-06-01

Dual-mode model predictive control for non-minimum phase boost converters

10.11591/ijpeds.v17.i2.pp1211-1220
Jawhra El Hmidi , Anass Mansouri , Ali Ahaitouf
This paper aims to develop an efficient finite-set model predictive control (FS-MPC) strategy for DC-DC boost converters to improve voltage regulation while reducing computational complexity. The proposed approach introduces a split cost function that decouples voltage and current regulation, providing a simpler alternative to conventional long-horizon FS-MPC schemes used to address the converter’s non-minimum-phase (NMP) behavior. A current estimation technique is incorporated to eliminate the need for additional sensors, lowering hardware cost and improving robustness. Unlike existing FS-MPC methods that rely on horizon extension or extra measurements, the proposed strategy leverages the split cost structure to achieve comparable NMP compensation with significantly lower computational effort. The controller is implemented in real time using a hardware-in-the-loop (HIL) setup on a ZedBoard platform, with accurate data acquisition provided by an external ADC. Experimental results demonstrate that the proposed approach enhances voltage-tracking performance, eliminates overshoot and undershoot, reduces settling time by over 40%, and decreases computational effort by more than 80% compared to traditional FS-MPC methods.
Volume: 17
Issue: 2
Page: 1211-1220
Publish at: 2026-06-01

Enhancing grid performance through coordinated SVC-TCSC operation with PV support: A case study on IEEE 30-bus system under progressive loading

10.11591/ijpeds.v17.i2.pp1254-1264
Hafidha Reriballah , Latifa Smail , Ali Abderrazak Tadjeddine , Hocine Guentri , Rim Feyrouz Abdelgoui , Fatima Zohra Boudjella
Power systems face growing challenges of voltage instability, line congestion, and increased losses under rising demand. This study proposes a coordinated approach using two flexible AC transmission system (FACTS) devices: the static var compensator (SVC) and the thyristor controlled series capacitor (TCSC), together with photovoltaic (PV) generation, to enhance grid performance. The IEEE 30 bus test system is analyzed under normal and increased load conditions (5%, 10%, 15% load growth). Results show that coordinated SVC TCSC operation improves voltage profiles, reduces critical line loading by 14%, and lowers active and reactive losses by 10% and 23.8%, respectively, in the base case. Under a 15% load increase, integrating a 25 MW PV system with the coordinated FACTS restores the minimum voltage to 0.95 p.u., reduces line congestion by 27%, and decreases active and reactive losses by 35.5% and 53.5%. The combined FACTS PV strategy proves essential for maintaining stability and efficiency under high load growth. This integrated approach provides practical guidance for transmission operators toward resilient, loss aware, and renewable integrated smart grids.
Volume: 17
Issue: 2
Page: 1254-1264
Publish at: 2026-06-01

High-gain DC-DC converter with advanced techniques: a review

10.11591/ijpeds.v17.i2.pp1105-1117
Anitha Sagari Ravirala , T. Vijay Muni , T. Vinodita , K. Venkata Kishore , Ramoju Bheema Sankaram , Yuriy Yu Shvets
This article provides an in-depth examination of recent advances in high-gain DC-DC converters, emphasizing soft-switching techniques and topological innovations that minimize voltage stress for renewable energy applications. High-gain DC-DC converters are crucial in photovoltaic and fuel-cell systems, where boosting low input voltages to higher levels must be achieved with high efficiency and compact design. Traditional boost converters fall short due to elevated switching stress, discontinuous input currents, and lower efficiency at high-gain levels. To address these limitations, this review categorizes and critically evaluates state-of-the-art converter topologies developed for high-gain operation. The main contributions of this review are as follows: i) A systematic classification of high-gain converter configurations with emphasis on their operational principles; ii) A detailed evaluation of soft-switching techniques, including zero voltage switching (ZVS) and zero current switching (ZCS), focusing on their roles in reducing switching losses and electromagnetic interference; iii) An analytical discussion on voltage stress mitigation methods and improved control strategies; and iv) An assessment of emerging trends in integrating advanced power electronics with renewable energy systems. These contributions collectively provide a comprehensive reference for researchers and engineers, supporting the development of next-generation high-performance DC-DC converters tailored for sustainable energy applications.
Volume: 17
Issue: 2
Page: 1105-1117
Publish at: 2026-06-01

Multi-objective energy management optimization in electric vehicles using fuzzy logic and particle swarm optimization

10.11591/ijpeds.v17.i2.pp1025-1035
V. Lakshmi Devi , Damodhar Reddy , Srikanth Velpula , K. Kumar , Basi Reddy Avula
This paper proposes a hybrid energy management system (EMS) for electric vehicles by integrating fuzzy logic control (FLC) with particle swarm optimization (PSO) to improve power-split decision-making under dynamic driving conditions. The FLC is designed using state of charge (SoC) and vehicle speed as input variables and power split as the output. A set of fuzzy rules defines the EMS behavior, while PSO is employed to fine-tune decisions by maximizing an efficiency objective function defined as the closeness of the power split to an ideal reference. The simulation is implemented in Python using Colab-compatible packages such as scikit-fuzzy, DEAP, and matplotlib, ensuring accessibility and reproducibility. A test grid covering 10 SoC levels (10-100%) and 10 speed levels (10-120 km/h) is used to evaluate the system. Visualization tools, including heatmaps, 3D surface plots, and contour plots, are employed to represent the EMS behavior. The PSO-enhanced system achieved a maximum efficiency of 98.2% at an optimized SoC of 61.7% and a speed of 53.6 km/h, outperforming standalone fuzzy logic control. Tabulated results and statistical summaries validate the effectiveness of the proposed system.
Volume: 17
Issue: 2
Page: 1025-1035
Publish at: 2026-06-01

Torque ripple reduction in PMSM for FCEVs using ANFIS controller

10.11591/ijpeds.v17.i2.pp885-893
Shilpa Rao Hosabettu , Pushpa Rajesh Viswanathan
Globally, there is a growing emphasis on switching to green energy, particularly in the transportation sector, due to the effects of global warming, as seen by rising carbon footprints. Fuel cell electric vehicles (FCEVs) are one such technology that has attracted a lot of interest because of their availability, ease of use, high efficiency, and silent operation. Fuel cells are employed along with batteries to drive the vehicle much farther. Motors like permanent magnet synchronous motor (PMSM) provide the driving force for the vehicle, owing to their high torque at variable speeds and compactness. In such systems, it is necessary to have intelligent controllers that can align with the load requirement by means of a consistent and optimized power distribution. The torque ripple phenomenon, which has an impact on dynamic performance and operational stability, is one of the main limitations in the operation of PMSMs. In this work, smart control techniques, which are a combination of adaptive neuro fuzzy inference systems (ANFIS) and proportional-integral (PI) control, are employed to demonstrate the application of PMSM in conjunction with field-oriented control (FOC). Simulation results indicate that the proposed ANFIS-based FOC reduces torque ripple as compared to conventional PI control under varying load conditions.
Volume: 17
Issue: 2
Page: 885-893
Publish at: 2026-06-01

Adaptive notch filter: An alternative synchronizer for effective performance of active power filter under challenging grid conditions

10.11591/ijpeds.v17.i2.pp1221-1230
Yap Hoon , Kuew Wai Chew , Kenny Sau Kang Chu , Siti Zaliha Mohammad Noor
Harmonic distortion issues on modern power systems are becoming highly significant due to the increasing integration of renewable energy sources, electric vehicles, and smart technologies. These distortions, mainly caused by the operation of power electronics devices, potentially degrade overall system quality, increase losses, and shorten equipment lifespan if they are not properly mitigated. Shunt active power filters (SAPFs) are found to be most effective against current harmonics issues, but their performance strictly depends on accurate grid synchronization. In this paper, an alternative method developed based on the adaptive notch filter (ANF) concept is proposed for reliable grid synchronization under challenging conditions. The proposed ANF-based synchronizer is modelled in MATLAB/Simulink and benchmarked against the existing self-tuning filter (STF) method under four cases involving sinusoidal, distorted, noisy, and distortion-with-noise grid conditions. Simulation findings demonstrate that the proposed method enables the connected SAPF to effectively mitigate harmonics by providing low total harmonic distortions (2.71% to 2.82%) and minimal phase deviation (0.2° to 0.5°), while maintaining the accuracy of fundamental current between 94.48% to 97.21%. As a result, the overall power factor of the system is raised to near unity, confirming the ability of the proposed ANF-based method to serve as a better alternative for SAPF synchronization.
Volume: 17
Issue: 2
Page: 1221-1230
Publish at: 2026-06-01

Dual mode control of an integrated on-board charger powered BLDC drive

10.11591/ijpeds.v17.i2.pp1058-1068
Caroline Ann Sam , Varghese Jegathesan
The high adoption of electric vehicles in transportation has created a demand for compact, efficient, and cost-effective charging solutions for them. Conventional onboard chargers are often bulky, which adds to the overall cost of the drive system, whereas off-board charging infrastructure remains limited. In order to address these issues, this work illustrates the design and modelling of an active power factor corrected integrated onboard charger which gets reconfigured from the electric vehicle drive train components. The proposed circuit setup is designed to work in dual mode, i.e., in the role of a DC-DC converter while charging the vehicle battery and as a three-phase inverter while driving the vehicle. The front-end power factor correction circuit, in addition to the reconfigured DC-DC converter, charges the 24 V, 20 Ah lead acid battery under constant current constant voltage (CC-CV) mode, achieving a power factor close to unity. Modelling and control of the proposed 200 W reconfigurable converter-fed 24 V, 180 W brushless direct current (BLDC) drive is validated using MATLAB/ Simulink Software. Simulation results demonstrate a power factor of 0.996 in grid-connected operation with a total harmonic distortion (THD) of 4.96%. The proposed architecture achieves a compact structure with only 8 switches enabling charging, propulsion and regenerative braking operation. The proposed converter thus contributes to a cost-effective electric vehicle and provides the scope of future extension to vehicle to home (V2H), vehicle to load (V2L), and vehicle to vehicle (V2V) applications as well.
Volume: 17
Issue: 2
Page: 1058-1068
Publish at: 2026-06-01

Design simulation and analysis of an MPPT technique using ANNs integral backstepping and SMC for PV systems

10.11591/ijpeds.v17.i2.pp1288-1303
Naoufal Zhani , Hassane Mahmoudi
This paper introduces the design of an innovative hybrid MPPT method called artificial neural networks-integral backstepping sliding mode control (ANN-IBSMC). This approach combines artificial neural networks (ANNs), which output the maximum power point voltage using inputs such as irradiance and temperature, with a robust control strategy. The designed controller aims to track the reference voltage with high accuracy and responsiveness by modifying the pulse width modulation of the DC-DC converter in the photovoltaic system. The IBSMC integrates the advantages of two control methods: the stability and accuracy of integral backstepping, and the robustness and fast response of sliding mode control (SMC). This combination enables improved precision, high convergence speed, enhanced robustness, and strong stability, the latter being ensured by the Lyapunov function. To evaluate the performance of the proposed controller, a comparative study is performed against other hybrid control techniques, such as the ANN-backstepping controller, the ANN-integral sliding mode controller, and the ANN-backstepping sliding mode controller, using MATLAB/ Simulink. A sensitivity and robustness analysis was carried out.
Volume: 17
Issue: 2
Page: 1288-1303
Publish at: 2026-06-01

Advanced soft-switching high-gain Re Boost Luo converter for enhanced efficiency in photovoltaic systems

10.11591/ijpeds.v17.i2.pp1177-1187
Vendoti Suresh , Dondapati Ravi Kishore , T. Vijay Muni , P. Hari Krishna Prasad , Pydi Bala Krishna , A. V. G. A. Marthanda
This work presents an innovative approach to improving efficiency and performance in photovoltaic (PV) systems through the development of a soft-switching high-gain Re Boost Luo converter. This converter integrates advanced soft-switching techniques to minimize switching losses, thereby enhancing overall system efficiency, which is crucial for applications requiring substantial voltage amplification from PV sources. The Re Boost Luo converter, with its inherent high-gain capability, facilitates superior voltage conversion ratios, enabling optimal energy extraction from PV panels across varying environmental conditions. The presented converter's design focuses on reducing electromagnetic interference (EMI) and alleviating stress on switching components, thereby extending their operational lifespan and reliability. Detailed modeling and performance analysis were carried out using the MATLAB/Simulink simulation environment, which allowed for comprehensive evaluation of the converter's functionality. Simulation results confirm that the converter achieves significant improvements in voltage gain, energy conversion efficiency, and system reliability, effectively addressing common challenges associated with high-voltage PV applications. This study underscores the converter's potential to advance renewable energy technologies by providing a robust solution for high-efficiency energy conversion in PV systems.
Volume: 17
Issue: 2
Page: 1177-1187
Publish at: 2026-06-01

Experimental modeling of a square planar micro-coil

10.12928/telkomnika.v24i3.27270
Assia; University of Science and Technology of Oran Ouali , Fatima Zohra; University of Science and Technology of Oran Medjaoui , Azzedine; Nour El Bachir University Center Hamid , Mohamed; University of Science and Technology of Oran Rizouga , Abderahim; National Polytechnic School of Oran Maurice Audin Mokhefi , Hocine; Nour El Bachir University Center Guentri
This study focuses on developing miniaturized electromagnetic components for applications in integrated microsystems, magnetic sensors, contactless energy transfer, and compact power converters. In a context of miniaturization and the pursuit of greater energy efficiency, the planar micro-coil plays a key role due to its compact size, ease of integration, and compatibility with microfabrication technologies. The work presented explores the design, modeling, fabrication, and experimental characterization of a square planar micro-coil. Its electromagnetic properties, such as inductance, resistance, and quality factor, are highly dependent on factors like the coil’s geometry (turns, track width, spacing, conductor thickness), substrate characteristics, and the manufacturing process. The main goal is to propose an accurate experimental model linking geometric parameters to electrical performance. The approach combines analytical modeling, finite element modeling (FEM), and experimental measurements on microfabricated prototypes. The results show strong agreement between theoretical predictions and experimental data, validating the model’s relevance. Lastly, the study highlights the impact of skin effects, proximity effects, and ohmic losses on the coil’s performance, offering insights for optimizing its design for high-performance, compact electromagnetic devices.
Volume: 24
Issue: 3
Page: 1068-1082
Publish at: 2026-06-01

Interdigitized capacitive humidity sensor using FR4 printed circuit board material without sensitive layer

10.12928/telkomnika.v24i3.27525
Setyawan; Brawijaya University Purnomo Sakti , Jessica; Brawijaya University Alfa Aini , Shania; Brawijaya University Rachmi , Elsa; Brawijaya University Hedya Kusumaningtyas , Irma; Brawijaya University Azizah , Triswantoro; Brawijaya University Putro , Dewi; Brawijaya University Anggraeni
Humidity sensors are widely used across numerous applications, including agriculture, health, industry, environmental monitoring, and high-risk environments such as chip fabrication rooms. Interdigital capacitors (IDCs) are among several humidity-sensing designs that have been developed, and they are attractive due to simple fabrication and easy integration with electronic systems. We developed an IDC humidity sensor on a glass-epoxy substrate (FR4) using a standard commercial printed circuit board (PCB) production process. Without additional sensitive layer, the sensor production is simple. The sensor design was explored by varying electrode width. Calibration was performed in a self-constructed chamber over a relative humidity range from 15% to 90%. The IDC sensor was benchmarked against a standard humidity measurement instrument. The IDC capacitance showed a linear correlation with relative humidity, with a correlation coefficient of at least 0.98. With the finest track and spacing size of 0.254 mm achievable via commercial PCB manufacturing and a sensor footprint of 10×10 mm, the capacitance falls in the pF range, compatible with most available electronic devices. The sensitivity of the developed sensors is 2.361×10-4, 2.361×10-4, 2.361×10-4 picofarads for a track width of 0.254 mm, 0.3048 mm and 0.3556 mm respectively. These results indicate that mass production of IDC humidity sensors could be achieved at a low cost. The combination of small feature sizes and a compact sensor footprint support practical integration into existing electronic systems.
Volume: 24
Issue: 3
Page: 1027-1036
Publish at: 2026-06-01

Arobust blind signcryption scheme for secure internet of drones communication

10.12928/telkomnika.v24i3.27677
Tahri; Hassan First University Rachid , Abdellah; Hassan First University Ouammou , Abdellatif; Sultan Moulay Slimane University Lasbahani , Hibat; Hassan First University Eallah Mohtadi
The rapid deployment of the internet of drones (IoD) exposes aerial networks to authentication failures, eavesdropping, data theft, and impersonation attacks due to open wireless communication. This paper presents a lightweight identity based blind signcryption scheme for secure IoD communication. The scheme leverages hyper-elliptic curve cryptography to provide strong security with reduced computational overhead, making it suitable for resource-constrained drones. The blind signcryption mechanism enhances privacy by preventing the signer from accessing message content. Informal analysis shows that the scheme achieves confidentiality, authentication, anonymity, forward secrecy, and resis tance to common protocol-level attacks. Formal verification using the Scyther tool confirms secrecy, agreement, and authentication properties under a stan dard symbolic adversary model. Analytical and simulation-based evaluations demonstrate average reductions of 59.60% in computational cost, 48.86% in communication overhead, and 55.75% in energy consumption compared with existing schemes. While the results confirm protocol-level efficiency, real-world implementation and testbed validation remain future work.
Volume: 24
Issue: 3
Page: 991-1002
Publish at: 2026-06-01
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