Title :
Demand Response as a Load Shaping Tool in an Intelligent Grid With Electric Vehicles
Author :
Shao, Shengnan ; Pipattanasomporn, Manisa ; Rahman, Saifur
Author_Institution :
Adv. Res. Inst., Virginia Tech, Arlington, VA, USA
Abstract :
As electric vehicles (EVs) take a greater share in the personal automobile market, their penetration will cause overload conditions at the distribution transformer. This paper focuses on the impacts of charging EVs on residential distribution networks including the transformer. The cost to accommodate a large-scale EV penetration by upgrading distribution transformers can be prohibitive. To alleviate the potential new load peaks with minimal infrastructure investments, a demand response strategy is proposed as a load shaping tool that allows improvement in distribution transformer usage. With the proposed strategy, consumers´ preferences, load priorities, and privacy can be taken into account.
Keywords :
automobiles; distribution networks; electric vehicles; power transformers; smart power grids; EV charging; consumer preferences; demand response strategy; distribution transformer; electric vehicles; infrastructure investments; intelligent grid; large-scale EV penetration; load priorities; load shaping tool; personal automobile market; residential distribution networks; Electric vehicles; Home appliances; Load management; Load modeling; Water heating; Demand response (DR); electric vehicle (EV); home area network (HAN); load shaping;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2011.2164583