Study on the Cost Allocation of Charging Stations Site Selection Based on the Improved Shapley Value Method

In the current scenario, with the vigorous promotion of electric vehicles, there is a growing demand for charging stations among users. Consequently, the strategic selection of optimal site areas for these charging stations has become the key. Considering that after forming the cooperative alliance between the different site areas, the apportionment cost of the cooperative alliance is lower than the cost of separate construction, we use the Shapley value method to solve and verify. Furthermore, recognizing that site selection is influenced by various external factors, the study incorporates the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) method to optimize the original method. This integration improves the Shapley value method, rendering the cost allocation within cooperative alliances fairer and more reasonable. In conclusion, the efficiency of this approach is demonstrated through a practical example. The outcomes indicate that the improved Shapley value method comprehensively accounts for the factors affecting the cost allocation of all parties in the alliance, consequently facilitating a more equitable allocation of costs.

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Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.274
Primary Topic
Evaluation Methods in Various Fields
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article

Study on the Cost Allocation of Charging Stations Site Selection Based on the Improved Shapley Value Method

Yan Huo, Siyuan Zhao, Dawei Hu
Evaluation Methods in Various Fields
article

Study on the Cost Allocation of Charging Stations Site Selection Based on the Improved Shapley Value Method

Yan Huo, Siyuan Zhao, Dawei Hu
article en

Abstract

In the current scenario, with the vigorous promotion of electric vehicles, there is a growing demand for charging stations among users. Consequently, the strategic selection of optimal site areas for these charging stations has become the key. Considering that after forming the cooperative alliance between the different site areas, the apportionment cost of the cooperative alliance is lower than the cost of separate construction, we use the Shapley value method to solve and verify. Furthermore, recognizing that site selection is influenced by various external factors, the study incorporates the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) method to optimize the original method. This integration improves the Shapley value method, rendering the cost allocation within cooperative alliances fairer and more reasonable. In conclusion, the efficiency of this approach is demonstrated through a practical example. The outcomes indicate that the improved Shapley value method comprehensively accounts for the factors affecting the cost allocation of all parties in the alliance, consequently facilitating a more equitable allocation of costs.

Chang'an University (CN)
Openalex Percentile: Top 94%
Evaluation Methods in Various Fields
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Study on the Cost Allocation of Charging Stations Site Selection Based on the Improved Shapley Value Method — Yan Huo, Siyuan Zhao, et al. · (2024) | TGRS Research Map | TGRS