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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21307
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Total Authors : 22301
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| Paper Title: | Vehicle-to-grid connected hybrid renewable system regularization using Reptile search algorithm using ITAE as objective function |
| Authors Name: | SAI PAVAN KUMAR POLISETTI , Sri Shaik Chanbasha , Kuniti Renuka Sowjanya |
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| Author Reg. ID: |
IJRTI_206039
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| Published Paper Id: | IJRTI2509002 |
| Published In: | Volume 10 Issue 9, September-2025 |
| DOI: | |
| Abstract: | Vehicle-to-grid (V2G) is a technology that enables bi-directional charging of an electric vehicle's battery, allowing it to charge and store energy before redistributing it back to the power grid, facilitating the flow of energy from the car's battery. This research evaluates the efficacy of the Reptile Search Algorithm (RSA) in regulating vehicle-to-grid (V2G) systems connected to hybrid renewable energy sources, focusing on its ability to use frequency oscillations. Through a simulated 24-hour scenario, RSA demonstrated superior performance over the particle swarm optimisation (PSO) algorithm effectively reducing frequency deviations even though disturbances in the system can lead to power imbalance between generation and loads, resulting in frequency deviation. The results indicate that RSA not only provides more stable and efficient outcomes over time, as evidenced by the convergence plot, but also enhances system stability and power balance. This makes RSA a positive approach for the optimization of V2G systems within hybrid renewable energy frameworks. |
| Keywords: | Vehicle-to-grid (V2G), Reptile Search Algorithm (RSA), particle swarm optimisation (PSO), hybrid renewable energy, Frequency Oscillations |
| Cite Article: | "Vehicle-to-grid connected hybrid renewable system regularization using Reptile search algorithm using ITAE as objective function", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 9, page no.a24-a34, September-2025, Available :http://www.ijrti.org/papers/IJRTI2509002.pdf |
| Downloads: | 0002651 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2509002
Registration ID:206039
Published In: Volume 10 Issue 9, September-2025
DOI (Digital Object Identifier):
Page No: a24-a34 Country: Eluru, Andhra Pradesh, India Research Area: Electrical Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2509002 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2509002 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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