Chao Luo, Yih-Fang Huang, Vijay Gupta
arXiv 7 Jan 2018 · eess.SP · publishedIEEE Transactions on Smart Grid (2015) · 135 citations (OpenAlex)
arXiv:1801.02129 · PDF · DOI · OpenAlex · Extracted main text
This paper studies the problem of multi-stage placement of electric vehicle (EV) charging stations with incremental EV penetration rates. A nested logit model is employed to analyze the charging preference of the individual consumer (EV owner), and predict the aggregated charging demand at the charging stations. The EV charging industry is modeled as an oligopoly where the entire market is dominated by a few charging service providers (oligopolists). At the beginning of each planning stage, an optimal placement policy for each service provider is obtained through analyzing strategic interactions in a Bayesian game. To derive the optimal placement policy, we consider both the transportation network graph and the electric power network graph. A simulation software --- The EV Virtual City 1.0 --- is developed using Java to investigate the interactions among the consumers (EV owner), the transportation network graph, the electric power network graph, and the charging stations. Through a series of experiments using the geographic and demographic data from the city of San Pedro District of Los Angeles, we show that the charging station placement is highly consistent with the heatmap of the traffic flow. In addition, we observe a spatial economic phenomenon that service providers prefer clustering instead of separation in the EV charging market.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Steven C. Salop, “Monopolistic Competition with Outside Goods", The… (1979) | 0.644 | 2 | 2 | 100% |
| 2 | Kenneth Train, Discrete Choice Methods with Simulation, Cambridge Un… (2003) | 0.585 | 3 | 1 | 100% |
| 3 | Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Cliffo… (2009) | 0.405 | 1 | 1 | 100% |
| 4 | Andreas Irmen, and Jacques-Francois Thisse, “Competition in Multi-ch… (1998) | 0.405 | 1 | 1 | 100% |
| 5 | Ezra Hausman, Robert Fagan, David White, Kenji Takahashi, and Alice… (2006) | 0.405 | 1 | 1 | 100% |
| 6 | Michael J North, Nicholson T Collier, Jonathan Ozik, Eric R Tatara,… (2013) | 0.405 | 1 | 1 | 100% |
| 7 | Shaoyun Ge, Liang Feng, and Hong Liu, “The Planning of Electric Vehi… (2011) International Conference on Electrical and Control Engineering (ICECE), 2011, pp | 0.405 | 1 | 1 | 100% |
| 8 | Zonggen Yi , and Peter H. Bauer, “Energy Consumption Model and Charg… (2014) | 0.405 | 1 | 1 | 100% |
| 9 | John Harsanyi, “Games with incomplete information played by Bayesian… (1967) | 0.405 | 1 | 1 | 100% |
| 10 | Joel A. C. Baum and Heather A. Haveman, “Love Thy Neighbor? Differen… (1997) | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 30 scored citations.