Abstract
The continuous increase in EV charging demand is likely to adversely affect the power system such as feeder congestions and nation-wide overloads during peak-time. To cope with these problems, peak management is required by distributing or shifting the charging load to other time slots. Many recent studies have been proposed the scheduling method with various EVs in the form of aggregated resources. However, they control the schedule directly without considering the preference of the owner. This work would propose an optimal EV scheduling method based on rolling optimization with Mixed Integer Linear Programming, contributing to peak management by distributing charging loads while considering the preference of the owner by providing an incentive based on the willingness to accept. In addition, it is also expected that the aggregator could maximize the profits by participating in the demand response program and manage the successive charging demand.
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