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Experimental Demonstration of Frequency Regulation by Commercial Buildingsā€”Part I: Modeling and Hierarchical Control Design.

Authors :
Vrettos, Evangelos
Kara, Emre C.
MacDonald, Jason
Andersson, Goran
Callaway, Duncan S.
Source :
IEEE Transactions on Smart Grid; Jul2018, Vol. 9 Issue 4, p3213-3223, 11p
Publication Year :
2018

Abstract

This paper is the first part of a two-part series in which we present results from one of the first worldwide experimental demonstrations of frequency regulation in a commercial building test facility. We demonstrate that commercial buildings can track a frequency regulation signal with high accuracy and minimal occupant discomfort in a realistic environment. In addition, we show that buildings can determine the reserve capacity and baseline power a priori, and identify the optimal tradeoff between frequency regulation and energy efficiency. In part I, we introduce the test facility and develop relevant building models. Furthermore, we design a hierarchical controller for the heating, ventilation, and air conditioning system that consists of three levels: 1) a reserve scheduler; 2) a building climate controller; and 3) a fan speed controller for frequency regulation. We formulate the reserve scheduler as a robust optimization problem and introduce several approximations to reduce its complexity. The building climate controller is comprised of a robust model predictive controller and a Kalman filter. The frequency regulation controller consists of a feedback and a feedforward loop, provides fast responses, and is stable. Part I presents building model identification and controller tuning results. Specifically, we find out that with an appropriate formulation of the model identification problem, a two-state model is accurate enough for use in a reserve scheduler that runs day-ahead. In part II, we report results from the operation of the hierarchical controller under frequency regulation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19493053
Volume :
9
Issue :
4
Database :
Complementary Index
Journal :
IEEE Transactions on Smart Grid
Publication Type :
Academic Journal
Accession number :
130284476
Full Text :
https://doi.org/10.1109/TSG.2016.2628897