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December 6, 2025Mathematics2 citationsOpen Access

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

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PLPengcheng LiCLChengbin Liang

Key Points

  • User satisfaction increases while maintaining grid security in EV charging station selection.
  • The multi-objective optimization model achieves balanced outcomes for electric vehicle user experience and grid stability.
  • Incorporating constraint handling, this approach optimizes electric vehicle charging stations based on user and grid metrics.
  • Results indicate a minimal user cost increase of 3% alongside a 12% reduction in network losses.

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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Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/69337cfbb3f947a0a125a67fhttps://doi.org/10.3390/math13233855
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