Distribution network reconfiguration with aggregated electric vehicle charging strategy

With a higher level of electric vehicle load penetrated in the distribution network, reconfiguration could be employed to minimize energy losses. Based on a second-order conic programming formulation, an improved set of network radiality constraints is proposed using power-flow based network connect...

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Bibliographic Details
Published in2015 IEEE Power & Energy Society General Meeting pp. 1 - 5
Main Authors Hantao Cui, Fangxing Li, Xin Fang, Runsha Long
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2015
Subjects
Computational modeling
Distribution network reconfiguration
electric vehicle charging strategy
Handheld computers
Irrigation
Mathematical model
network radiality constraints
Programming
second-order conic programming
Silicon
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Summary:With a higher level of electric vehicle load penetrated in the distribution network, reconfiguration could be employed to minimize energy losses. Based on a second-order conic programming formulation, an improved set of network radiality constraints is proposed using power-flow based network connectivity conditions. This proves to be a computationally more efficient method compared to the spanning tree constraints. To incorporate electric vehicle charging in the reconfiguration model, two aggregated charging strategies are proposed: the arbitrary delay and the peak-avoiding delay. The decision of delay hours is formulated as constraints and co-optimized into the reconfiguration model. Case study on the IEEE 33-bus system illustrates the performance of the proposed model and the effectiveness of the proposed charging strategy.
ISSN:1932-5517
DOI:10.1109/PESGM.2015.7285650