Journal
IEEE TRANSACTIONS ON SMART GRID
Volume 4, Issue 2, Pages 1058-1066Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2013.2242207
Keywords
Aggregation model; electric vehicle; optimal charging; parameter estimation; stochastic distribution
Categories
Funding
- NSFC [50823001, 51007044]
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This paper presents an aggregation charging model for large numbers of electric vehicles (EVs). A genetic algorithm (GA) is employed to obtain the stochastic feature parameters of the aggregation model, and a charging strategy based on the aggregation model is developed to reduce the power fluctuation level caused by EV charging. In addition, an updatable optimization method is proposed to track the variation of the EV charging characteristics. The proposed charging strategy and optimization method are validated by the simulation results.
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