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Sustainability 2017, 9(11), 2075; doi:10.3390/su9112075

Charge Pricing Optimization Model for Private Charging Piles in Beijing

1
School of Economics and Management, North China Electric Power University, Beijing 102206, China
2
Research Center for Beijing Energy Development, Beijing 102206, China
3
Ministry of Industry and Information Technology, Beijing 100804, China
*
Author to whom correspondence should be addressed.
Received: 30 July 2017 / Revised: 8 October 2017 / Accepted: 7 November 2017 / Published: 11 November 2017
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
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Abstract

This paper develops a charge pricing model for private charging piles (PCPs) by considering the environmental and economic effects of private electric vehicle (PEV) charging energy sources and the impact of PCP charging load on the total load. This model simulates users’ responses to different combinations of peak-valley prices based on the charging power of PCPs and user charging transfer rate. According to the regional power structure, it calculates the real-time coal consumption, carbon dioxide emissions reduction, and power generation costs of PEVs on the power generation side. The empirical results demonstrate that the proposed peak-valley time-of-use charging price can not only minimize the peak-valley difference of the total load but also improve the environmental effects of PEVs and the economic income of the power system. The sensitivity analysis shows that the load-shifting effect of PCPs will be more obvious when magnifying the number of PEVs by using the proposed charging price. The case study indicates that the proposed peak, average, and valley price in Beijing should be 1.8, 1, and 0.4 yuan/kWh, which can promote the large-scale adoption of PEVs. View Full-Text
Keywords: electric vehicle; peak-valley time-of-use tariff; private charging pile; energy saving; emissions reduction electric vehicle; peak-valley time-of-use tariff; private charging pile; energy saving; emissions reduction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhang, X.; Liang, Y.; Zhang, Y.; Bu, Y.; Zhang, H. Charge Pricing Optimization Model for Private Charging Piles in Beijing. Sustainability 2017, 9, 2075.

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