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This paper develops an optimal dispatch strategy for a microgrid's resources through battery pricing. A microgrid fulfills local demand using local generation (conventional and renewable) and storage, along with the electric grid (macrogrid). Demand and renewables such as Photovoltaic (PV) generation are uncertain throughout the day. Optimal management of the resources in a microgrid is necessary...
This paper develops a dynamic programming (DP)-based framework for simultaneously optimizing the charging and power management of a plug-in hybrid electric vehicle (PHEV). These two optimal control problems relate to activities of the PHEV on the electric grid (i.e., charging) and on the road (i.e., power management). The proposed framework solves these two problems simultaneously to avoid loss of...
This paper describes the methodology for developing algorithms for optimal design of an electric drive train for electric bikes and evaluating their performance. The design methodology is validated using simulation and experimental results. The behavioral model of the electric drive train is developed and the performance of the drive train subject to varying battery sizes and motor ratings are evaluated...
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