Study on Charging Scheduling of Electric Vehicles with Load Forecast Information in Smart Grid
碩士 === 國立中山大學 === 通訊工程研究所 === 104 === This thesis studies the charge scheduling problem of electric vehicles (EVs) in the scale of a microgrid (e.g., a university or town), where a set of charging stations are controlled with a central aggregator. A bi-objective optimization problem is formulated to...
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| Format: | Others |
| Language: | en_US |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/33577753040548486602 |
| Summary: | 碩士 === 國立中山大學 === 通訊工程研究所 === 104 === This thesis studies the charge scheduling problem of electric vehicles (EVs) in
the scale of a microgrid (e.g., a university or town), where a set of charging stations
are controlled with a central aggregator. A bi-objective optimization problem is
formulated to jointly optimize total charging cost and user convenience. A close-tooptimal
online scheduling algorithm is then proposed as a solution. The algorithm
achieves optimal charging cost and is near optimal in terms of user convenience. The
proposed method also applies an efficient load forecasting technique to obtain future
load information. The algorithm is assessed through simulation and compared with
those in previous studies. Results reveal that our method improves previous alternative
methods in terms of the Pareto-optimal solution of the bi-objective optimization
problem, and provides a close approximation for load forecasting.
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