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Optimizing Charging Station Placement for County-Level Clean Energy Enterprises

Yu Yin*, Pengchen Jin

Abstract


The rapid growth of electric vehicles in China has heightened the demand for efficient charging infrastructure, particularly in county-level regions critical to rural revitalization and clean energy adoption. These areas face challenges like sparse populations and limited data,
rendering traditional station placement methods ineffective. This study proposes a hybrid optimization framework using intelligent algorithms
to enhance charging station placement, maximizing coverage, accessibility, and cost-efficiency. Through a case study in a semi-rural county,
the framework demonstrates significant improvements over conventional approaches, achieving broader reach and lower costs. The findings
offer practical guidance for clean energy enterprises and policymakers aiming to strengthen rural energy infrastructure and support sustainable
development.

Keywords


Charging station placement; Intelligent algorithms; Clean energy; County-level enterprises; Electric vehicles; Optimization

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References


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DOI: http://dx.doi.org/10.70711/frim.v3i8.6944

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