The overall load profile tremendously changes due to the charging of abundant electric vehicles (EVs), which brings challenges to the active power balance of distribution network. To achieve smaller fluctuation of the interactive power between the distribution network and the bulk grid, a rolling scheduling strategy of EVs based on dynamic clustering and variable horizon is proposed in this paper. First, a clustering criterion for EVs is formulated to reduce the computational complexity, and the EVs are re-clustered after each scheduling. Then, the scheduling model considering the minimum variance of comprehensive load profile and the minimum charging cost is established, whose purpose is to optimize the charging and discharging plans of the EV clusters. The scheduling horizon is the variable continuous period, which is between the starting time of the current execution horizon and the departure time of each cluster. Finally, the simulation results of modified IEEE 33-bus system verify that, the optimal EV charging and discharging plan can perfectly coordinate with the photovoltaic output profile while maximizing user satisfaction, which significantly reduces the peak-valley difference of the equivalent load.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.