Balancing the Grid through Distributed Control of Flexible Loads
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About this item
| Description: |
Busic, A
Thursday 2nd May 2019 - 14:30 to 15:30 |
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| Created: | 2019-05-03 16:47 |
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| Collection: | The mathematics of energy systems |
| Publisher: | Isaac Newton Institute |
| Copyright: | Busic, A |
| Language: | eng (English) |
| Abstract: | 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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| iPod Video * | 480x270 | 528.2 kbits/sec | 243.73 MB | View | Download | |
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