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28,451 Article Results

Ensemble learning based fault detection using PMU data in imbalanced data condition

10.11591/ijpeds.v16.i2.pp851-863
Kiruthika Krishnan , Srivani Iyengar
Significant advancements in the electrical grid include enhanced regulation, communication, metering, and customer interaction, driven by information communication technologies (ICTs) and cyber-physical systems (CPS). The adaptation of synchro phasor devices like phasor measurement units (PMUs) enables real-time monitoring and control, aiding in power system security assessment. PMUs record voltage and current phasors with GPS time stamps, transmitting data to phasor data concentrators (PDCs) for decision-making. However, ensuring the stability and security of this method against cybersecurity threats is crucial due to its reliance on Internet Protocol (IP) networks. Dynamic security assessment utilizes PMU data, reported up to 30–60 times per second, to evaluate power system safety. To address security issues, a Python-based fault detection system employing a stack ensemble learning algorithm is developed. This approach consistently outperforms traditional methods, producing satisfactory results with superior AUC-ROC curves, validated through correctness checks and graphical analysis. The dataset includes both natural and man-made security threats, facilitating comprehensive assessment and mitigation strategies. The ensemble learning algorithm performed better than the individual algorithms by obtaining 95% in the AUC-ROC curve.
Volume: 16
Issue: 2
Page: 851-863
Publish at: 2025-06-01

A novel accelerated genetic algorithm-based technique for optimal placement of multiple FACTSDEV in power systems under N-1 contingency

10.11591/ijpeds.v16.i2.pp1376-1388
Tanuja Koppa Shankaregowda , Shankaralingappa Channappa Byalihal
The liberalization of the energy market has led to a surge in unforeseen power exchanges, which could jeopardize the security of the power system by overloading transmission lines. Flexible AC transmission system devices (FACTSDEV) has been developed in order to improve voltage profiles, reduce losses, and solve power system instability. However, because FACTSDEV devices have such high initial costs, careful planning and ideal placement are essential to maximizing their benefits. This paper proposes a genetic algorithm-based approach to arrange multiple FACTSDEV devices in a power system optimally under N-1 contingency conditions. The IEEE standard (IEEESTD) 14 bus network is where FACTSEDV are located using this optimization technique. The study makes use of MATLAB simulations to evaluate how different FACTSDEV and their placements affect the performance of the power system. The results of the generator and line outage simulations show how FACTDEV have an impact on generation costs, system loss components, and line loss reduction. The cost-optimized placement findings for FACTSDEVs in the IEEESTD 14 bus system are satisfactory and show an improvement in generation cost and system loss component with appropriate positioning and sizing of FACTDEVs.
Volume: 16
Issue: 2
Page: 1376-1388
Publish at: 2025-06-01

Speed control of BLDC motor using PID controller

10.11591/ijape.v14.i2.pp401-411
Tirunagari Bhargava Ramu , Sreevardhan Cheerla , Ravi Kumar Kallakuta , Kaja Krishna Mohan , Syed Inthiyaz , Nelaturi Nanda Prakash , Bodapati Venkata Rajanna , Cheeli Ashok Kumar
The current state of science, technology, and industrial revolutions did not occur overnight. Many years of empirical study attempts by human intelligence have led to the world's current status. As a result, new technologies and innovations would constantly propel human civilization forward. Another outstanding invention of the present day is the brushless DC (BLDC) motor. This paper outlines the design of a BLDC motor control system utilizing MATLAB/Simulink software. The main aim of this project is to control the speed and to obtain time domain specifications of PID controller. The application of speed control of motor is vast and also required to maintain the work efficient without any disturbance, the power consumption, and any other fuel to run. On the basis of this the brushless DC motor as application is selected because of reduction in losses and also the power. The PID control system is built to control the speed of the motor and gives the precise output. The universal bridge is used to amplify the current in the output of the application. PID controller reduces the error and increases the stability of the system.
Volume: 14
Issue: 2
Page: 401-411
Publish at: 2025-06-01

Single stage boost cascaded multilevel inverter for photovoltaic applications

10.11591/ijpeds.v16.i2.pp1012-1023
P. Sriramalakshmi , S. Angalaeswari , M. Sujatha
This article discusses a high-gain five-level SL-SC-based cascaded multilevel qSBI (qSBMLI) for photovoltaic applications. A combination of switched inductor and switched capacitor structure produces a boost at high levels. Two identical SL-SC-based qSBI modules are cascaded and powered with two stiff DC voltage sources of 18 V each. The DC voltage of 18 V obtained from two different DC voltage sources is applied to each module. An 18 V DC voltage is supplied to a single module-A, which produces a DC link voltage (VPN) of about 240 V at the inverter's input side. The modulation index (MI) is selected as 0.68, and the duty ratio is kept at 0.3. The boost factor is obtained as 13.3, and the load voltage of 150 V is achieved across the resistive load. Hence, the voltage gain is 6.9. The proposed topology delivers 337 W of power to the load at an efficiency of 73%. The complete circuit topology and its operations are analyzed in MATLAB/Simulink. The control signals for the power switches are produced using the field programmable gate array (FPGA) SPARTAN 3E Kit. When the proposed circuits are analyzed and compared with the existing classical topologies, the proposed one shows the superior performance.
Volume: 16
Issue: 2
Page: 1012-1023
Publish at: 2025-06-01

Buck-boost converter Fed nine level cascaded H-bridge inverter

10.11591/ijpeds.v16.i2.pp1107-1115
Shobana Devendiren , R. Samuel Rajesh Babu , Subbulakshmy Ramamurthi
This research investigates on simulation of a traditional cascaded H-bridge (CHB) five-level inverter and proposes a nine-level cascaded H-bridge inverter system. The performance of both five-level and nine-level inverter systems is evaluated by modeling and simulating the open-loop system. According to the simulation results, the nine-level multilevel inverter (MLI) has a lower total harmonic distortion (THD) than the five-level MLI. The work also introduces a boost converter positioned between a photovoltaic power source and the inverter. A nine-level inverter system is utilized to simulate the proposed photovoltaic and battery-based buck-boost converter (BBC). The effectiveness of the proposed inverter is verified through simulation studies under various scenarios. In terms of THD, the comparison of the open-loop systems indicates that the nine-level inverter performs better than the five-level inverter. Additionally, simulations for a battery-based buck-boost converter and photovoltaic system used to verify the effectiveness of the proposed inverter.
Volume: 16
Issue: 2
Page: 1107-1115
Publish at: 2025-06-01

A single-stage AC conversion with the three-phase matrix converter for the constant V/f ratio method

10.11591/ijpeds.v16.i2.pp1038-1050
Prasopchok Hothongkham , Sataporn Suathed , Anuchit Aurairat
This research introduces a single-stage direct three-phase matrix converter that utilizes the signals from the output voltage for designing pulse-width modulation signals. This converter is made up of nine bidirectional switches that use IGBT power diodes. It directly converts a steady three-phase source voltage and frequency into a variable output voltage and frequency by adjusting the frequency and modulation index of the pulse-width modulation (PWM) signals. A mathematical model is utilized to illustrate the basic principles of the matrix converter before examining its operational waveform. An evaluation is then made between the analytical waveforms and the functional waveforms, as well as the harmonics generated by the direct three-phase matrix converter. The results from both methods and processes are displayed in close agreement. Additionally, this paper discusses V/f control for induction motor drive control using this converter.
Volume: 16
Issue: 2
Page: 1038-1050
Publish at: 2025-06-01

Fault diagnosis of electric motors using vibration signal analysis

10.11591/ijape.v14.i2.pp300-307
Mandeep Singh , Tejinder Singh Saggu , Arvind Dhingra
In industrial applications, especially in manufacturing environments, electric motors are employed practically everywhere. They are necessary for many different sectors, which can sometimes make it challenging to prevent malfunctions and keep them operating at their best. Numerous defects can affect how well they work, but bearing-related errors are the most frequent reasons for motor failures. This research uses temporal and frequency domain analysis of vibration signals to identify motor faults. A public domain database has been used for the investigation and analysis. The findings show that electric motor problems, including inner raceway, outer raceway, and rolling element fault, can be identified and diagnosed using the time and frequency domain features extracted from the vibration signals. The effectiveness of the proposed technique is shown by comparing it with both the time domain and frequency domain techniques. The accuracy of the time domain and frequency domain techniques is 85.4% and 91.6% respectively. However, the proposed hybrid technique has a far better accuracy of 95.8% as compared to the two techniques.
Volume: 14
Issue: 2
Page: 300-307
Publish at: 2025-06-01

Softplus function trained artificial neural network based maximum power point tracking

10.11591/ijpeds.v16.i2.pp1174-1183
Liong Han Wen , Mohd Rezal Mohamed
To optimize the electrical output of a photovoltaic system, maximum power point tracking (MPPT) methods are commonly employed. These techniques work by operating the photovoltaic system at its maximum power point (MPP), which varies based on environmental factors like solar irradiance and ambient temperature, thereby ensuring optimal power transfer between the photovoltaic system and the load. In this paper, an artificial neural network (ANN) is selected as an MPPT technique. The main contribution of the work is to introduce a softplus function trained artificial neural network-based maximum point tracking (SP-ANN MPPT). The proposed method is then compared with a sigmoid function trained artificial neural network-based maximum point tracking (SM-ANN MPPT). The simulation and experimental results show that SP-ANN MPPT is able to track high power than SM-ANN MPPT in different conditions.
Volume: 16
Issue: 2
Page: 1174-1183
Publish at: 2025-06-01

Harmonic control in electrical drives for transport systems

10.11591/ijpeds.v16.i2.pp827-839
Thanh Lich Nguyen , Van Trang Phung
Field-oriented control (FOC) is the most widely used method for controlling alternating current (AC) drives, using Clarke and Park transformations to enable current controllers to manipulate the amplitude of the fundamental component of the phase currents. The inherent advantage of the FOC method is that it transforms current control tasks into a DC domain, thereby enhancing the dynamics of current response and the capability of tracking the current reference. The idea of the FOC can be extended beyond the fundamental component to control some of the harmonics buried in any signals presented in electrical drives, which is particularly critical in transport systems. This paper presents a harmonic control framework, optimized for transport applications, with three different topologies: adaptive linear neural (Adaline), resonant controller (RC), and harmonic controller (HC). The study provides a comprehensive theoretical analysis of the mathematical relationships between these three control structures. Additionally, it explores the application of harmonic controllers in both current and speed control loops. Simulation and experimental results are used to validate the proposed framework, demonstrating its potential to improve the performance of electric drives in vehicles, including enhanced energy efficiency, reduced electromagnetic interference, and smoother torque production.
Volume: 16
Issue: 2
Page: 827-839
Publish at: 2025-06-01

Power quality enhancement for a grid connected wind turbine energy system with PMSG

10.11591/ijape.v14.i2.pp392-400
Kasula Rajasri , Movva Naga Venkata Kiranbabu , Banda Srinivas Raja , Muzammil Parvez , Govulla Ravi Kumar Reddy , Nelaturi Nanda Prakash , Sk. Hasane Ahammad , Bodapati Venkata Rajanna
This project investigates the burgeoning potential of gearless wind turbine systems as a pivotal clean energy resource. Unlike conventional gearbox-based turbines, which grapple with issues like frequent breakdowns, intricate repairs, and prolonged downtimes, gearless systems present a suite of advantages. Chief among these is heightened reliability, diminished maintenance costs, and augmented efficiency. By circumventing the need for a gearbox, gearless turbines shed weight, bolster reliability, and demand less upkeep. The incorporation of permanent magnet generators further elevates their efficiency and renders them well-suited for offshore deployment. The emergence of gearless wind turbines heralds a promising frontier for effectively and efficiently harnessing wind power. Their streamlined design and robust performance potential position them as a transformative force in the renewable energy landscape, poised to catalyze substantial advancements towards sustainable energy goals. As research delves deeper into their capabilities and optimization, gearless turbines are poised to emerge as a cornerstone technology in the global pursuit of clean energy solutions.
Volume: 14
Issue: 2
Page: 392-400
Publish at: 2025-06-01

Integral backstepping control design for enhanced stability and dynamic performance of VSC-HVDC systems

10.11591/ijape.v14.i2.pp255-263
Chaimaa Lakhdairi , Aziza Benaboud , Hicham Bahri , Mohamed Talea
The increasing demand for efficient and reliable high-voltage direct current (HVDC) transmission systems has underscored the necessity for advanced control strategies to augment system performance. This article presents the design and implementation of an integral backstepping control approach customized for voltage source converter (VSC)-based HVDC systems. The proposed methodology primarily concentrates on tackling the inherent nonlinearities, uncertainties, and disturbances that typically impede the stability and efficiency of VSC-HVDC systems. By incorporating integral action into the backstepping control framework, two key objectives are accomplished: i) precise regulation of the direct voltage at the rectifier station and accurate control of the active power at the inverter station, and ii) effective power factor correction (PFC) at both stations within the HVDC system. These objectives contribute to robust tracking performance, enhanced dynamic stability, and improved overall system efficiency. The theoretical design has been verified through extensive numerical simulations conducted in the MATLAB/Simulink environment, showcasing the efficacy of the proposed control strategy in ensuring stability and performance under varying conditions.
Volume: 14
Issue: 2
Page: 255-263
Publish at: 2025-06-01

The use of dolomite to overcome grounding resistance in acidic swamp land

10.12928/telkomnika.v23i3.26656
Dian Eka; Universitas Sriwijaya Putra , Muhammad Irfan; Universitas Sriwijaya Jambak , Zainuddin; Universitas Sriwijaya Nawawi
This research addresses the effectiveness of grounding systems in acidic swampland, which poses a challenge in protecting people and electrical equipment from the risk of electric shock. The increasing use of swampland for electrical installations necessitates a solution to reduce the high grounding resistance resulting from poor soil resistivity values. This study proposes using dolomite as an admixture to improve soil conductivity and lower grounding resistance. Experimental methods were conducted by embedding rod electrodes of various materials in dolomite-mixed media with varying compositions. The results showed that adding dolomite significantly decreased the grounding resistance, although there were inconsistencies in the test results; on average, the decrease in resistance reached 25%. Galvanized electrodes proved to be the most effective in this system. These findings provide new insights in the field of grounding systems and offer practical solutions that are environmentally friendly and sustainable. This research is expected to be an important reference for developing more innovative and effective grounding system techniques in the future.
Volume: 23
Issue: 3
Page: 789-796
Publish at: 2025-06-01

A review of modeling techniques and structural topologies for double stator permanent magnet machines

10.11591/ijpeds.v16.i2.pp751-768
Fithri Muliawati , Suhairi Rizuan Che Ahmad , Raja Nor Firdaus Kashfi Raja Othman , Yanawati Yahya , Tajuddin Nur
This study reviews the advancements in double-stator permanent magnet machines (DSPMM) with a focus on modeling techniques, design variations, and performance optimization. The research categorizes existing DSPMM modeling methods, including numerical approaches like finite element method (FEM) and boundary element method (BEM), as well as analytical approaches such as analytical subdomain method (ASM), magnetic equivalent circuit (MEC), and Maxwell's equation approach (MEA). These methods improve analytical accuracy, computational efficiency, and address challenges like magnetic saturation and electromagnetic interactions. Structural innovations, including segmented rotor-stator techniques, Halbach arrangements, and soft composite materials, enhance torque density, reduce cogging torque, and optimize magnetic flux distribution, contributing to higher energy efficiency and reduced noise. Supported by software tools like Ansys Maxwell and JMAG-designer, this study identifies optimal DSPMM configurations for various applications, including electric vehicles and renewable energy systems. The findings emphasize the potential of DSPMM for efficient, high-performance electric machines while highlighting the need for further research on transient effects and advanced cooling systems to improve thermal stability.
Volume: 16
Issue: 2
Page: 751-768
Publish at: 2025-06-01

Optimization and dimensioning of stand-alone systems: enhancing MPPT efficiency through DLGA integration

10.11591/ijape.v14.i2.pp308-318
Moufida Saadi , Dib Djalel , Kadir Erkan
This paper explores optimizing and sizing stand-alone solar power systems using an intelligent maximum power point tracking (MPPT) method, enhanced by artificial neural networks (ANN). The study focuses on both system sizing and energy optimization, integrating genetic algorithms (GA) with deep learning (DL) to optimize the architecture of the ANN for improved performance in predicting solar energy output. The hybrid method, deep learning genetic algorithms (DLGA), efficiently reduces computational complexity and enhances flexibility through parameter tuning, significantly improving the performance of multi-layer perceptron networks. Additionally, a precise sizing methodology based on solar irradiance data was implemented to ensure the system is neither oversized nor undersized. The system's performance was tested and validated using MATLAB/Simulink simulations, which demonstrated superior predictive accuracy, faster convergence, and optimized energy capture. This combined approach of intelligent MPPT and accurate sizing presents a highly effective solution for improving the efficiency and reliability of stand-alone solar energy systems under varying environmental conditions.
Volume: 14
Issue: 2
Page: 308-318
Publish at: 2025-06-01

An experimental design of 3 kW variable speed wind turbine with doubly-fed induction generator for standalone applications

10.11591/ijpeds.v16.i2.pp1160-1173
Sugiarto Kadiman , Ratna Kartikasari , Oni Yuliani
Variable speed wind turbines are suitable for isolated populations, island communities or usages in which the charge of electric lines beats the connection and upkeep charge of wind turbine. This research builds wind turbine which working over variable velocity of wind. The proposed construct incorporates three-bladed aerofoil rotor, gear box with ratio 1:8, three-phase doubly-fed induction generator, automatic voltage regulator and tower. Results verify efficacy of this installed structure at wind speed of 7.0-8.2 m/s. The proposed design generates power output at 3 kW, voltage per phase between 220 V, and frequency of 50 Hz; and exhibits noise just around 60-70 dB which is below the permissible noise threshold of 85 dB.
Volume: 16
Issue: 2
Page: 1160-1173
Publish at: 2025-06-01
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