DocumentCode
173725
Title
Power loss reduction for electric vehicle penetration with embedded energy storage in distribution networks
Author
Cheng Wang ; Dunn, Roderick ; Bo Lian
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Bath, Bath, UK
fYear
2014
fDate
13-16 May 2014
Firstpage
1417
Lastpage
1424
Abstract
Electric vehicles (EVs) are becoming more popular in modern society. These vehicles can be charged at home or in public areas with standard outlets. However, the extra power demand affects the distribution network (DN) in terms of power losses. If these vehicles are connected into the DN during peak times, it increases the power losses. One effective methods to solve this issue would be the introduction of energy storage systems (ESSs). Therefore, both active and reactive power dispatch combined with different charging periods, off peak and peak, for the ESS is proposed in this paper. The research provides both uncoordinated optimal active-reactive power flow (UA-RPF) of the ESS and the coordinated optimal active-reactive power flow (CA-RPF) of the ESS, which improves the performance of the DN. Results for the IEEE-33 distribution system are presented. It is demonstrated that 1.43MW total power losses (TPL) and 1.64MW of imports from the transmission network (TN) can be reduced by using the proposed approach.
Keywords
battery storage plants; distribution networks; electric vehicles; energy storage; load dispatching; load flow; reactive power; ESS; IEEE-33 distribution system; UA-RPF; charging periods; distribution networks; electric vehicle penetration; embedded energy storage; energy storage systems; peak times; power 1.43 MW; power 1.64 MW; power demand; power loss reduction; power losses; reactive power dispatch; transmission network; uncoordinated optimal active-reactive power flow; Batteries; Discharges (electric); Load modeling; Optimization; Power demand; Reactive power; Vehicles; ESS; Power losses; optimization algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Conference (ENERGYCON), 2014 IEEE International
Conference_Location
Cavtat
Type
conf
DOI
10.1109/ENERGYCON.2014.6850608
Filename
6850608
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