All articles
35 articles
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Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated. This absence of transparency brings up some serious concerns connected with trust, accountability, fairness, and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Faults in On-Load Tap Changer of a Transformer: An Innovative Approach to Mechanical Fault Diagnosis
Abstract: On-load tap changer (OLTC) is very important for maintaining or regulating output voltage, but it has moving contact & complex switching mechanisms which contributes to the failure of on-load tap changer. Faults in OLTC such as Coking Contact wear and damaged transition resistors significantly reduce reliability of transformers which may lead to catastrophic failures of transformers. There are some traditional approaches for diagnostics of OLTC, such as Static Resistance Measurements, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Securing Smart Electrical Systems through Comparative Analysis of Machine Learning Models for Classification
Abstract: In the realm of cybersecurity, the intersection of technology and security measures has spurred significant advancements, particularly in safeguarding electrical systems against cyber threats. This research delves into the evolving landscape of cybersecurity within electrical systems, leveraging machine learning techniques to mitigate challenges. By incorporating cybersecurity protocols with machine learning algorithms, this study demonstrates enhanced security measures tailored for electrical infrastructures, pivotal in ensuring efficiency and resilience. Through meticulous examination, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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A Comparative Study of JWT and Web Authn for Password less Authentication in MERN Stack Applications
Abstract: More than 80% of web application breaches are rooted in credential compromise, yet password-based login continues to be the default choice in most MERN stack deployments. This paper reports on a side-by-side implementation of JSON Web Token (JWT) and Web Authentication (WebAuthn) within a shared MERN reference application built on React 18, Express.js 4.18, Node.js v20 LTS, and MongoDB Atlas M10. The JWT branch uses bcrypt at cost factor 12 …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A Hybrid Metaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 35–46 Read article
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IoT-Based Fault Detection in Distribution Lines
Abstract: Quickly detecting and pinpointing failures in electrical distribution lines are important for shortening the duration of service interruption, reducing maintenance costs and increasing safety. In this work, we propose a realistic architecture for an Internet-of-Things (IoT)-enabled fault detection system designed for distribution networks. In order to continually assess electrical characteristics including voltage, current, frequency, temperature, and line status, the suggested architecture combines inexpensive, dispersed sensor nodes placed along feeders and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Solar-Powered Electric Vehicle Charging Station with Smart Load Scheduling
Abstract: The rapid rise in EV usage has increased demand for environmentally friendly and cutting-edge charging infrastructure. This paper outlines the creation and deployment of a solar-powered EV charging station that incorporates a smart load scheduling system aimed at optimizing energy consumption, minimizing reliance on the grid, and improving charging efficiency. To guarantee practical feasibility and scalability, the proposed system encompasses thorough design work, modelling, and performance assessment. A bidirectional converter …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 7–14 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A HybridMetaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 Read article
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Comparison of Back propagation control algorithm with P-Qtheory for power quality improvement using DSTATCOM under steady state condition
Abstract: Providing consumers with high-quality power is the distribution operator's primary goal. Distribution Static Compensator (DSTATCOM), Dynamic Voltage Restorer (DVR), and Unified Power Quality Conditioner (UPQC) are examples of power converter-based custom power devices (CPDs) that are well-known for enhancing the distribution system's power quality. In order to lessen source-side supply power harmonics, DSTACOM is taken into consideration in this work. Any bespoke power device's performance is heavily dependent on the …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 25–34 Read article
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Smart Electricity Consumption Monitoring and Billing System
Abstract: Electricity consumption monitoring is essential for optimizing energy use and reducing costs. Traditional meters provide only cumulative readings, leading to inefficiencies and billing discrepancies. This research presents a smart electricity consumption monitoring and billing system that enables users to track real-time power usage and generate automated bills based on actual consumption. A hardware device measures voltage and current, calculates power consumption, and transmits data to a web-based platform via the …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 · pp. 8–15 Read article
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IoT-Based Battery Management System for Electric Vehicles
Abstract: Electric vehicles (EVs) are becoming increasingly popular due to rising fuel costs and environmental concerns in contemporary applications, where energy storage systems power a wide range of devices, from small gadgets to big electric vehicles and renewable energy grids, efficient battery management is becoming more and more crucial. This study proposes the design and implementation of an Internet of Things (IoT)-based battery management system (BMS) that can continually monitor vital …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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STRATEGIC ADVANCEMENTS IN HYBRID RENEWABLE ENERGY SYSTEMS: A SURVEY OF INTEGRATION AND PERFORMANCE OPTIMIZATION
Abstract: The growing global population has led to an increasing demand for energy, putting significant pressure on the limited reserves of non-renewable fossil fuels. Renewable energy technologies present a sustainable alternative, particularly for remote or off- grid areas where extending conventional power grids is economically unfeasible. Technologies for renewable energy have become a viable way to deal with these problems. In many parts of the world, resources like sun, wind, hydro, …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 · pp. 16–22 Read article
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THE STUDY OF DIELECTRIC PERMITTIVITY OF NINPs-PDMS
Abstract: Nickel–polydimethylsiloxane (Ni–PDMS) nanocomposites were fabricated to investigate the influence of metallic nanoparticle loading on the dielectric behavior of flexible polymer matrices. Nickel nanoparticles with controlled size distributions were dispersed in PDMS using solution blending and curing protocols optimized to minimize agglomeration. The dielectric permittivity and loss tangent of the resulting nanocomposites were measured across a broad frequency range (typically 10²–10⁶ Hz) and at varying filler volume fractions. Results show a …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 · pp. 39–50 Read article
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Harmonic Elimination in PV System Using SPWM-BasedSeven-Level Cascaded H-Bridge Multilevel Inverter
Abstract: The modern transform toward renewable energy sources has raised the use of Photovoltaic array andMultilevel Inverters (MLIs) in the current power systems. These technologies are not only able to relievethe problems related to the shortage of fossil fuels but also help to curb global warming and pollutionof the environment. A 7-level MLI, which is controlled by Sinuoidal Pulse Width Modulation (SPWM)is explored as a method of PV integration in this …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 · pp. 23–38 Read article
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Smart Electricity Consumption Monitoring and Billing System
Abstract: Electricity consumption monitoring is essential for optimizing energy use and reducing costs. Traditional meters provide only cumulative readings, leading to inefficiencies and billing discrepancies. This research presents a smart electricity consumption monitoring and billing system that enables users to track real-time power usage and generate automated bills based on actual consumption. A hardware device measures voltage and current, calculates power consumption, and transmits data to a web-based platform via the …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 Read article
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Grid Integrated Electric Vehicle Charging withSeamless Power Exchange
Abstract: Abstract— To soar new miles the global mobility sector is considered ready for decarbonization by adopting technologies to improve efficiency, cost effectiveness and charging flexibility. Integration of electric vehicles (EVs) in mobility sector demands charging infrastructure which shall be cost-effective, reliable and supports charging in effective manner. Existing grid face challenges during power exchange and also requires technological innovations in developing future EVs charging network. Future charging networks must be …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 Read article
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Hardware-Centric Analysis and Optimization of Perturb and Observe Techniques for Maximum Power Point Tracking in Solar Photovoltaic Systems
Abstract: Operating conditions like temperature and irradiance fluctuations can significantly reduce the power output of PV systems, presenting a key challenge. Additionally, contemporary MPPT methods demand high computational resources and face difficulties in maintaining optimal PV array output when weather conditions change quickly. The P&O technique, though widely used, falls short in accurate maximum power point tracking amid sudden shifts in solar insolation due to incorrect adjustments in the duty cycle. …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 1, 2025 Read article
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Comparison of Payback Period and Return on Investments for Industrial Scale Solar Photovoltaic Power Generation Plant Considering Net Metering and Gross Metering
Abstract: Photovoltaic power generation plants have become highly popular in recent years, especially in the last decades with the various financial benefits and government incentives provided to domestic, commercial, agricultural, and industrial applications. Net metering and gross metering are the two methods normally employed by distribution companies to register the energy generated by photovoltaic power plant installers. This paper explores both the ideas of metering, for an industrial scale 100-kW rooftop …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 1, 2025 Read article