International Journal of Leading Research Publication

E-ISSN: 2582-8010     Impact Factor: 9.56

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 April 2025 Submit your research before last 3 days of to publish your research paper in the issue of April.

Predictive Assessment of Electric Vehicle (EV) Charging Impacts on Grid Performance

Author(s) Sree Lakshmi Vineetha Bitragunta
Country United States
Abstract The quick growth of electric vehicles (EVs) merged with the progress of rapid-charging infrastructure has resulted in major challenges for the stability and dependability of electrical distribution systems. The fundamentally variable attributes of EV charging play an essential role in aggravating power quality issues, which encompass harmonic distortion, voltage deviations, and an impaired power factor, particularly within urban distribution systems that are characterized by deficient fault-handling abilities. Considering these challenges, this research introduces a comprehensive power quality management framework that integrates real-time monitoring, advanced harmonic analysis, and adaptive control methodologies aimed at mitigating the adverse impacts of EV charging on grid efficacy. Through the utilization of machine learning algorithms, the framework forecasts power quality discrepancies and systematically enhances mitigation strategies to maintain conformity with grid standards. A hybrid simulation-optimization methodology is employed to scrutinize operational scenarios, considering variables such as harmonic distortion, voltage stability, and power factor. Empirical case studies performed on urban distribution networks substantiate the effectiveness of the proposed framework, achieving a 30% reduction in harmonic distortion and a notable improvement in voltage stability during peak charging periods. The results highlight the adaptability and feasibility of the framework, equipping utility operators with a sophisticated tool to effectively and consistently oversee EV integration, thus promoting the progression of electrified transportation.
Keywords Electric Vehicles (EVs) , Power Quality Management ,Harmonic Distortion , Voltage Stability , Machine Learning in Power System , Adaptive Control Techniques
Field Engineering
Published In Volume 5, Issue 7, July 2024
Published On 2024-07-07
Cite This Predictive Assessment of Electric Vehicle (EV) Charging Impacts on Grid Performance - Sree Lakshmi Vineetha Bitragunta - IJLRP Volume 5, Issue 7, July 2024. DOI 10.5281/zenodo.14945783
DOI https://doi.org/10.5281/zenodo.14945783
Short DOI https://doi.org/g86pfq

Share this