Charge Pricing Optimization Model for Private Charging Piles in Beijing

Xingping Zhang, Yanni Liang, Yakun Zhang, Yinhe Bu and Hongyang Zhang
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Xingping Zhang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Yanni Liang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Yakun Zhang: Ministry of Industry and Information Technology, Beijing 100804, China
Yinhe Bu: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Hongyang Zhang: School of Economics and Management, North China Electric Power University, Beijing 102206, China

Sustainability, 2017, vol. 9, issue 11, 1-15

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.

Keywords: electric vehicle; peak-valley time-of-use tariff; private charging pile; energy saving; emissions reduction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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