Research of Time-of-Use Tariff Considering Electric Vehicles Charging Demands

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Abstract:

With the large-scale EV(electric vehicle) integrating into the power system, new challenges has been brought to the planning as well as the security of the network. There will be a great impact on the system if the system operator ignores the vast quantity of EV charging at the same. Thus, taking measures, e.g. the multiple tariff, is of vital importance to give the guidance to the EV owners to charging wisely to save the daily cost on charging, as well as reduce the gap between peak load and valley load. A model for TOU has been presented in this paper. In the model , an objective function is declared to describe the purpose of TOU, and the optimal solution is gained according to the response of EV when the price of electricity changes. Finally , a case based on the daily load curve of a certain place is calculated with the model in this paper.

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Periodical:

Advanced Materials Research (Volumes 953-954)

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1354-1358

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Information on: http: /www. gov. cn/zwgk/2012-07/09/content_2179032. htm.

Google Scholar

[2] HU Zechun, SONG Yonghua, XU Zhiwei, LUO Zhuowei, ZHAN Kaiqiao, JIA Long, Impacts and Utilization of Electric Vehicles Integration Into Power Systems[J] Proceedings of the CSEE, 2012, 32(4): p.1.

DOI: 10.1109/pesgm.2012.6345045

Google Scholar

[3] GE Shaoyun, HUANG Liu, LIU Hong, et al. Optimization of peak-valley TOU power price time-period in ordered charging mode of electric vehicle[J]. Power System Protection and Control, 2012, 40(10): 1-5.

DOI: 10.1109/pesmg.2013.6672410

Google Scholar

[4] HUANG Run, ZHOU Xin, YAN Zheng, et al. The controlled charging dispatch strategy by considering of the uncertainty of electric vehicles[J]. Modern Electric Power, 2012, 29(3): 57-63.

Google Scholar

[5] DING Ning, WU Junji, ZOU Yun, RESEARCH OF PEAK AND VALLEY TIME PERIOD PARTITION APPROACH AND TOU PRICE ON DSM [J] . Automation of Electric Power Systems, 2001 , 25 (23) : 9 – 161.

Google Scholar

[6] K irschen D S, Strbac G, Cumperayot P, et al. Factoring the Elasticity of Demand in Electricity Prices. IEEE Trans on Power Systems, 2000, 15(2): 612~617.

DOI: 10.1109/59.867149

Google Scholar

[7] Yang Wenhai, Energy Management of Electric Vehicles Based on Demand Side Management. North China Electric Power University. 2012, 32~33.

Google Scholar

[8] LIU Yan , TAN Zhong - fu, QI Jian – xun, Research on TOU Rate Design Optimization Model. Chinese Journal of Management Science. 2005 13 , No. 5 Oct.

Google Scholar

[9] Kischen D S , Strbac G, Cum perayot P , et al1Factoring the Elasticity of Demand in Electricity Prices[J ] . IEEE Tans. on Power Systems , 2000 , 15 (2) : 612 - 6171.

Google Scholar