Somil Bansal | University of California, Berkeley (original) (raw)
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Higher Institute of Engineering Shorouk City
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Papers by Somil Bansal
This paper presents a predictive controller for handling plug-and-play (P&P) charging requests of... more This paper presents a predictive controller for handling plug-and-play (P&P) charging requests of electric vehicles (EVs) in a distribution system. The proposed method uses a two-stage hierarchical control scheme based on a model predictive control (MPC) formulation for tracking periodic references. The first stage computes a reachable periodic reference that trades off deviation from the nominal voltage with the required generation control. The second stage computes a controller that tracks this reference and charges the EVs, while satisfying system constraints at all times. Under the assumption of a time-periodic load, it is shown that the proposed controller is recursively feasible and exponentially stable i.e. the EVs' state of charge (SOC) and bus voltages converge to the desired SOC and to the optimal periodic reference respectively. Finally, the proposed scheme is illustrated in a set of examples.
Abstract—Beam forming is central to any wireless system. In different channel and signal scenario... more Abstract—Beam forming is central to any wireless system. In different channel and signal scenarios one can use MMSE or MSINR criteria for finding an optimal beamformer. It is well known in literature that if the channel is unknown then the solutions given by two criteria may not be the same, so we study the beam forming optimization problem with SINR-MSE tradeoffs which means given a minimum SINR threshold the problem focuses on finding the minimum MSE.
This paper presents a predictive controller for handling plug-and-play (P&P) charging requests of... more This paper presents a predictive controller for handling plug-and-play (P&P) charging requests of electric vehicles (EVs) in a distribution system. The proposed method uses a two-stage hierarchical control scheme based on a model predictive control (MPC) formulation for tracking periodic references. The first stage computes a reachable periodic reference that trades off deviation from the nominal voltage with the required generation control. The second stage computes a controller that tracks this reference and charges the EVs, while satisfying system constraints at all times. Under the assumption of a time-periodic load, it is shown that the proposed controller is recursively feasible and exponentially stable i.e. the EVs' state of charge (SOC) and bus voltages converge to the desired SOC and to the optimal periodic reference respectively. Finally, the proposed scheme is illustrated in a set of examples.
Abstract—Beam forming is central to any wireless system. In different channel and signal scenario... more Abstract—Beam forming is central to any wireless system. In different channel and signal scenarios one can use MMSE or MSINR criteria for finding an optimal beamformer. It is well known in literature that if the channel is unknown then the solutions given by two criteria may not be the same, so we study the beam forming optimization problem with SINR-MSE tradeoffs which means given a minimum SINR threshold the problem focuses on finding the minimum MSE.