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Creators/Authors contains: "Duffaut Espinosa, L."

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  1. ; (, Proc. of the 2019 IEEE Power and Energy Society General Meeting)
    Abstract—Local management of solar photovoltaic and battery inverters is seen as a means to mitigate many grid issues that can result from large penetrations of distributed and variable solar energy. This work demonstrates through simulation how local inverter operation can fit within an operational paradigm referred to as packetized energy management. In particular, the power factor at which energy packets are injected in to the grid from a distributed set of energy resources (i.e., batteries) are adjusted in discrete steps over the range of operation. Unlike approaches where a device’s power factor is adapted continuously over time, the discrete-time and asynchronous nature of the investigated approach avoids potential system oscillations. We present simulation results for a feeder line consisting of 100 battery systems comparing our distributed, locally-controlled approach to one centrally determined and controlled. 
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    Accepted Manuscript Full Text Available
  2. ; ; (, Proceedings of the ... American Control Conference)
    A hybrid control architecture for nonlinear dynamical systems is described which combines the advantages of model based control with those of real-time learning. The idea is to generate input-output data from an error system involving the plant and a proposed model. A discretized Chen-Fliess functional series is then identified from this data and used in conjunction with the model for predictive control. This method builds on the authors’ previous work on model-free control of a single-input, single-output Lotka-Volterra system.The problem is revisited here, but now with the introduction of a model for the dynamics. The single-input, multiple-output version of the problem is also investigated as a way to enhance closed-loop performance 
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    Accepted Manuscript Full Text Available