International Journal of Electrical Power System and Technology
About the Journal
International Journal of Electrical Power System and Technologycovers many diversified but interlinked areas of electrical power system and technology which includes conventional electromechanical technology to electrical power systems computer analysis. Journal includes research articles and review papers both theoretical and experimental papers.
All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance.
Journal at a Glance
Latest Articles
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…
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…
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,…
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…
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…
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…