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Engineering and Economic Analysis for Electric Vehicle Charging Infrastructure --- Placement, Pricing, and Market Design

Chao Luo

arXiv 12 Aug 2018 · Econometrics · 1 citations (OpenAlex)

arXiv:1808.03897 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This dissertation is to study the interplay between large-scale electric vehicle (EV) charging and the power system. We address three important issues pertaining to EV charging and integration into the power system: (1) charging station placement, (2) pricing policy and energy management strategy, and (3) electricity trading market and distribution network design to facilitate integrating EV and renewable energy source (RES) into the power system. For charging station placement problem, we propose a multi-stage consumer behavior based placement strategy with incremental EV penetration rates and model the EV charging industry as an oligopoly where the entire market is dominated by a few charging service providers (oligopolists). The optimal placement policy for each service provider is obtained by solving a Bayesian game. For pricing and energy management of EV charging stations, we provide guidelines for charging service providers to determine charging price and manage electricity reserve to balance the competing objectives of improving profitability, enhancing customer satisfaction, and reducing impact on the power system. Two algorithms --- stochastic dynamic programming (SDP) algorithm and greedy algorithm (benchmark algorithm) are applied to derive the pricing and electricity procurement strategy. We design a novel electricity trading market and distribution network, which supports seamless RES integration, grid to vehicle (G2V), vehicle to grid (V2G), vehicle to vehicle (V2V), and distributed generation (DG) and storage. We apply a sharing economy model to the electricity sector to stimulate different entities to exchange and monetize their underutilized electricity. A fitness-score (FS)-based supply-demand matching algorithm is developed by considering consumer surplus, electricity network congestion, and economic dispatch.

Citation extraction

203
references
231
in-text mentions
203
distinct cited
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self-citations
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main-text words

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Most heavily cited references

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.

ReferenceIntensityMentionsSectionsMain text
1K. Parks, P. Denholm, and T. Markel, “Costs and emissions associated… (2007) Costs and emissions associated with plug-in hybrid electric vehicle charging in the xcel energy colorado service territory0.84333100%
2S. Letendre, P. Denholm, and P. Lilienthal, “Electric & hybrid cars:… (2006) Electric & hybrid cars: New load, or new resources?0.73732100%
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4S. Berry, “Estimating discrete-choice model of product differentiati… (1994) Estimating discrete-choice model of product differentiation0.64422100%
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6S. Hadley and A. Tsvetkova, “Potential impacts of plug-in hybrid ele… (2008) Potential impacts of plug-in hybrid electric vehicles on regional power generation0.64422100%
7H. Nguyen and J. Song, “Optimal charging and discharging for multipl… (2012) Optimal charging and discharging for multiple phevs with demand side management in vehicle-to-building0.64422100%
8M. Kintner-Meyer, K. Schneider, and R. Pratt, “Impacts assessment of… (2007) Impacts assessment of plug-in hybrid vehicles on electric utilities and regional u.s. power grids - part i: Technical analysis0.64422100%
9PJM, “Locational marginal pricing lmp overview,” [Online] (2015) Locational marginal pricing lmp overview0.64422100%
10“Regrid: Frequency and voltage regulation in electrical grids,” [Onl… (2015) Regrid: Frequency and voltage regulation in electrical grids0.64422100%

Showing the top 10 of 203 scored citations.