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【学术论文】Electric Power Systems Research:A probability transition matrix based decentralized electric vehicle charging method for load valley filling
作者:sgool    发布于:2016-12-09 11:19:57    文字:【】【】【

Kaiqiao Zhana, Zechun Hua, Yonghua Songa, Ning Lub, Zhiwei Xua, Long Jia 

Received 8 November 2014, Revised 27 February 2015, Accepted 18 March 2015, Available online 8 April 2015

AbstractThis paper presents a decentralized control method to schedule EV (electric vehicle) charging loads to fill the overnight load valley while meeting customers’ charging requirements. A PTM (probability transition matrix) is calculated at the aggregator side as the control signal to guide EV charging processes based on submitted EV charging schedules. Elements of the PTM represent the transition probabilities of moving a charging load from one time period to another. At the EV side, each EV individually updates its charging schedule according to its charging requirements and the PTM. Then the updated schedules are sent back to the aggregator. This process is repeated iteratively until convergence. In this method, no optimal control problems need to be solved locally so that its implementation on the EV side requires low computation capability. Simulation results show that the proposed method can create desired EV charging schedules for load valley filling within only several iterations, making it suitable for real-time implementation.

KeywordsElectric vehicle; Load valley filling; Decentralized charging control; Smart grid; Probability transition matrix; Aggregators


ISSN0378-7796

DOI10.1016/j.epsr.2015.03.013

 

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