Model predictive energy scheduling for building microgrid

This paper presents a model predictive control (MPC) approach to economic scheduling for a building microgrid at California State University, Long Beach. We first propose a peak demand cost model to extend MPC-based microgrid energy scheduling. The corresponding objective function is then formulated...

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Bibliographic Details

Published in:	2017 North American Power Symposium (NAPS) pp. 1 - 6
Main Authors:	Sanchez, Edward, Nazari, Masoud H.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2017
Subjects:	Buildings energy management Energy storage Microgrids mixed integer linear programming (MILP) model predictive control (MPC) Optimal scheduling power management Predictive models Uncertainty
Online Access:	Get full text
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