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Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 10 No 5 (2026): Volume 10, Issue 5, May 2026 | Pages: 771-776
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 31-05-2026
The rapid proliferation of electric vehicles (EVs) necessitates the strategic deployment of charging infrastructure to ensure grid stability, user convenience, and economic viability. This paper presents a comprehensive multi-objective optimization framework for the simultaneous determination of optimal locations and capacities of EV charging stations (EVCSs) within urban distribution networks. The proposed framework considers four conflicting objectives: minimization of total investment and operational costs, minimization of power losses in the distribution network, maximization of user accessibility and convenience, and minimization of voltage deviation across network buses. A modified Non-dominated Sorting Genetic Algorithm II (NSGA-II) enhanced with adaptive operators and local search mechanisms is developed to solve the formulated multi-objective problem. The framework incorporates realistic constraints including transformer loading limits, voltage magnitude bounds, EV charging demand patterns, traffic flow characteristics, and land-use compatibility. A comprehensive case study on a modified IEEE 33-bus distribution system integrated with an urban transportation network demonstrates the effectiveness of the proposed approach. Results indicate that the optimized placement achieves a 23.7% reduction in power losses, 31.2% improvement in user accessibility, and maintains voltage profiles within acceptable limits while reducing total costs by 18.5% compared to conventional planning approaches.
Electric vehicle charging stations, multiobjective optimization, distribution network planning, NSGA-II, capacity planning, smart grid.
Shailendra Kumar Choubey, Naresh Sapate, Gurucharan Mashram, & Suresh Kumar Tandekar. (2026). Multi-Objective Optimization Framework for Strategic Placement and Capacity Planning of Electric Vehicle Charging Stations in Urban Distribution Networks. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(5), 771-776.
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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