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An Improved NSGA-II Based Multi-Objective Optimization Model for Electric Vehicle Charging Station Selection

Jingxuan Li, Hezhong Tang, Pengcheng Li, Zehao Li, Chengbin Liang

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Source: Crossref

Published: Dec 1, 2025

DOI: 10.3390/math13233855

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Source abstract

Facing the challenge of balancing electric vehicle (EV) user experience with distribution network security, this paper develops a multi-objective optimization model for charging station selection that simultaneously considers user-side costs and grid-side stability indicators, including voltage deviation and system power loss. To solve this complex problem, an improved NSGA-II algorithm with enhanced constraint handling is introduced. Case studies on the IEEE 33-bus system demonstrate that the proposed approach effectively limits maximum voltage deviation to 2% with only a minimal 3% increase in user cost and reduces network losses by 12%. This achieves an optimal balance between user satisfaction and grid security, providing quantitative support for coordinated charging management and infrastructure planning.

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An Improved NSGA-II Based Multi-Objective Optimization Model for Electric Vehicle Charging Station Selection — Mathematical Frontier Network