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Balancing the Grid through Distributed Control of Flexible Loads

Presented by: 
Ana Busic
Thursday 2nd May 2019 - 14:30 to 15:30
INI Seminar Room 1
A control scheme that unifies feedforward and feedback control for a large collection of heterogeneous loads is proposed. The feedforward part capitalizes on the knowledge of grid-event forecasts, such as predicted ramps in solar and wind energy and the approximate periodicity of the demand cycle. The slower time-scale feedforward control strategy utilizes a model predictive control (MPC) framework designed on the basis of two pieces of information: aggregate power consumption from each class of loads and the state of charge surrogate that is a part of the leaky battery model. Feedback control is performed at a faster time scale in order to reject real-time disturbances. The control architecture incorporates the decentralized load-level stochastic control design, which ensures that consumer QoS constraints are respected.
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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons