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Paper Title

Multi-Objective Optimization of DG and EV Integration in IEEE Bus Systems Using PSO and GWO

Authors

Niraj Mishra , SHASHANK SHUKLA

Keywords

PVD, PSO, EV, GWO,DG

Abstract

The move from standard automobiles to electric vehicles relies heavily on limited fossil fuel availability and fears on rising greenhouse gas emissions .More research on As a result, there's been a surge in research interest in determining the optimal placement of electric vehicle charging stations (EVCSs) to support the growing demand for EVs and to facilitate the electrification of transportation systems. Researchers have adopted various approaches, objective functions, and constraints in formulating problems related to EVCS optimization. Some common approaches include mathematical modeling, optimization algorithms, and simulation-based studies. Objective functions may prioritize factors such as infrastructure cost, user convenience, energy efficiency, or environmental impact, depending on the goals of the study. Constraints may include technical limitations, regulatory requirements, spatial constraints, and operational considerations. The surge in demand for electric vehicles (EVs) over the past decade is primarily driven by their potential to reduce CO2 emissions and lower operational costs compared to internal combustion engine vehicles. Projections suggest that widespread adoption of EVs could significantly contribute to reducing CO2 emissions by 2030. However, transitioning to EVs presents challenges, including high upfront costs and limited charging infrastructure availability. The global EV market is expected to experience robust growth, with forecasts indicating a substantial increase in value by 2027. Despite this growth, challenges such as insufficient charging infrastructure persist, particularly as the number of EVs on the roads continues to rise. Integrating EVs into the distribution network introduces various issues, including increased power demand, voltage instability, power loss, and harmonic distortion. Addressing these challenges will require investment in charging infrastructure expansion and upgrades to the distribution network to accommodate the growing number of EVs. Additionally, advanced technologies and smart grid solutions may be necessary to manage EV charging demand effectively and maintain grid stability. Collaboration between industry stakeholders and government entities will be crucial to overcoming these obstacles and facilitating the widespread adoption of EVs.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"Multi-Objective Optimization of DG and EV Integration in IEEE Bus Systems Using PSO and GWO", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 8, page no.b1-b10, August-2025, Available :https://ijrti.org/papers/IJRTI2508101.pdf
APA — 7th edition
Mishra, N., & SHUKLA, S. (2025). Multi-Objective Optimization of DG and EV Integration in IEEE Bus Systems Using PSO and GWO. International Journal for Research Trends and Innovation, 10(8), b1-b10. https://ijrti.org/viewpaperforall.php?paper=IJRTI2508101
MLA — 9th edition
Mishra, Niraj, and SHASHANK SHUKLA. "Multi-Objective Optimization of DG and EV Integration in IEEE Bus Systems Using PSO and GWO." International Journal for Research Trends and Innovation, vol. 10, no. 8, 2025, pp. b1-b10, https://ijrti.org/viewpaperforall.php?paper=IJRTI2508101.
Chicago — 17th, bibliography
Mishra, Niraj, and SHASHANK SHUKLA. "Multi-Objective Optimization of DG and EV Integration in IEEE Bus Systems Using PSO and GWO." International Journal for Research Trends and Innovation 10, no. 8 (2025): b1-b10. https://ijrti.org/viewpaperforall.php?paper=IJRTI2508101.
Harvard — author–date
Mishra, N. and SHUKLA, S. (2025) 'Multi-Objective Optimization of DG and EV Integration in IEEE Bus Systems Using PSO and GWO', International Journal for Research Trends and Innovation, 10(8), pp. b1-b10. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2508101
IEEE — numbered reference
N. Mishra and S. SHUKLA, "Multi-Objective Optimization of DG and EV Integration in IEEE Bus Systems Using PSO and GWO," IJRTI, vol. 10, no. 8, pp. b1-b10, Aug. 2025.
Vancouver — biomedical
Mishra N, SHUKLA S. Multi-Objective Optimization of DG and EV Integration in IEEE Bus Systems Using PSO and GWO. IJRTI. 2025 Aug;10(8):b1-b10.
AMA — 11th edition
Mishra N, SHUKLA S. Multi-Objective Optimization of DG and EV Integration in IEEE Bus Systems Using PSO and GWO. IJRTI. 2025;10(8):b1-b10. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2508101
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2508101, author = {Niraj Mishra and SHASHANK SHUKLA}, title = {Multi-Objective Optimization of DG and EV Integration in IEEE Bus Systems Using PSO and GWO}, journal = {International Journal for Research Trends and Innovation}, volume = {10}, number = {8}, pages = {b1-b10}, year = {2025}, month = {August}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2508101} }
RIS — EndNote, RefWorks
TY - JOUR AU - Mishra, Niraj AU - SHUKLA, SHASHANK TI - Multi-Objective Optimization of DG and EV Integration in IEEE Bus Systems Using PSO and GWO T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 10 IS - 8 PY - 2025 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2508101 SP - b1-b10 ER -

Issue

Volume 10 Issue 8, August-2025
Pages : b1-b10

Other Publication Details

Paper Reg. ID IJRTI_205825
Published Paper ID IJRTI2508101
Downloads 205,637
Research Area Electrical Engineering 
Country Pratapgarh, Uttar Pradesh, India
Published August 2025

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Licence

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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