Robust Hierarchical Model Predictive Control of Graph-Based Power Flow Systems
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Elsevier Ltd
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Abstract
A robust hierarchical model predictive control framework is presented for controlling a linear system of dynamically coupled subsystems. A graph-based modeling framework captures the conservation laws of power flow systems, for which control optimizes the storage and routing of energy to maximize transient and steady-state power throughput. A constructive approach is presented for developing an N-level hierarchical controller, which guarantees satisfaction of state and input constraints in the presence of signal and model uncertainty.
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Graph theory, Predictive control, Flowgraphs, Graphic methods, Linear systems, Modeling--Graph based
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©2018 Elsevier Ltd. All Rights Reserved.