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Daily Archives: December 12, 2025

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Advanced Power Factor Correction for Distribution Efficiency Enhancement: The Case of Port Harcourt Mainstream 33 kV Distribution Network

Authors: Hachimenum Nyebuchi Amadi, Happy Prince Nwokoegi, Richeal Chinaeche Ijeoma

Abstract: Distribution efficiency in developing power systems is often undermined by excessive reactive power demand, poor voltage regulation, and high technical losses. The Port Harcourt mainstream 33 kV distribution network in Nigeria, a critical urban supply corridor, is particularly vulnerable to these inefficiencies due to its radial structure, overloaded transformers, and weak reactive power support. Such conditions result in low power factor, under voltage problems, and distribution losses that exceed international performance standards, thereby threatening supply reliability and quality of service. In this study, the Port Harcourt 33 kV distribution network was modeled in MATLAB/Simulink to evaluate its operational performance and investigate the effectiveness of advanced power factor correction (PFC) using a Distribution Static Synchronous Compensator (D-STATCOM). Baseline simulations revealed progressive voltage deterioration along the feeder, with the weakest bus falling to 0.910 p.u., well below the operational limit of 0.95 p.u. Furthermore, the system recorded active power losses of 1.604 MW, equivalent to 9.5% of peak demand, substantially higher than the 2–6% technical loss benchmark recommended by IEEE for efficient distribution systems. Following the integration of D-STATCOM into the network, remarkable improvements were observed. All bus voltages were restored within 0.989-0.999 p.u., with the weakest bus improved from 0.910 p.u. to 0.989 p.u., thereby ensuring compliance with the 0.95-1.05 p.u. standard. In addition, total technical losses decreased sharply to 0.283 MW, equivalent to 2.0% of peak demand, placing the network well within international best-practice thresholds. The findings confirm D-STATCOM as an effective and sustainable solution for improving voltage stability, minimizing technical losses, and enhancing reliability in urban distribution networks.

DOI: https://doi.org/10.5281/zenodo.17918646

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Motor Car Hub: A MERN-Based ERP System for Multi-Brand Vehicle Workshops

Authors: Aakib Beg, Prof. Geeta Santhosh HOD

Abstract: The rapid digital transformation of the automobile service industry has highlighted the inefficiencies of traditional workshop management methods, especially in multi-brand environments. Manual billing, fragmented inventory tracking, and inconsistent labor pricing frequently lead to revenue losses and customer dissatisfaction. Motor Car Hub is developed as a comprehensive Enterprise Resource Planning (ERP) system built on the MERN stack—MongoDB, Express.js, React.js, and Node.js—to address these challenges. Untitled document (2)This study expands on the original system architecture, presenting a deeper analysis of module interactions, database workflows, performance benchmarks, and the measurable operational improvements achieved in real-world simulations. The enhanced paper discusses MERN-driven scalability, the significance of schema flexibility, automated GST-compliant billing, technician performance tracking, inventory forecasting, and role-based access governance. The system shows an 80% reduction in invoice processing time, complete elimination of manual billing discrepancies, and substantial gains in accountability. These expanded insights provide strong evidence that MERN-based ERP solutions can revolutionize automotive workshop management, making operations more transparent, accurate, and data-driven.

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Design and Implementation of Novel Hybrid Wireless Electric Vehicle Charging Station using Integrated Solar-Grid Management System

Authors: B.SathiyaSivam, S.Sriram

Abstract: This paper presents a novel smart wireless electric vehicle (EV) charging station that integrates solar photovoltaic (PV) and piezoelectric road-energy harvesting with a smart-grid-connected common DC bus architecture. The proposed system employs bidirectional Wireless Power Transfer (WPT) for Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) operation and an intelligent Energy Management System (EMS) for real-time power optimization. Maximum Power Point Tracking (MPPT), adaptive load balancing, and predictive renewable forecasting enhance overall energy efficiency. Advanced coil-alignment sensors enable high coupling efficiency, while a bidirectional DC/AC interface ensures stable grid interaction. The system aims to provide eco-friendly, contactless, and efficient EV charging suitable for smart cities, highways, and autonomous transportation networks.

 

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