[Back]

S. Grosswindhager, A. Voigt, M. Kozek:
"Predictive control of district heating network using Fuzzy DMC";
Talk: Fourth International Conference on Modelling, Identification and Control, Wuhan, China; 2012-06-24 - 2012-06-26; in: "Proceedings of the Fourth International Conference on Modelling, Identification and Control", (2012), ISBN: 978-1-4673-1524-1; Paper ID ICMIC-228, 6 pages.

This paper presents a concept for controlling the
supply temperature in district heating networks (DHN) using
model predictive control. Due to the inherent nonlinearity in
the response characteristics caused by varying flow rates the
use of Fuzzy Direct Matrix Control (DMC) is proposed. The
fuzzy regions of the local Finite Impulse Response (FIR) models
are determined by an axis-orthogonal, incremental partitioning
scheme. It is demonstrated that the Fuzzy DMC performs well
for the case study considered. In addition, different set point
strategies are applied and the results are evaluated with respect
to operational cost. In this context it is shown that the trade-off
between pumping and heat loss cost plays an important role in
minimizing overall cost.

nonlinear predictive control, district heating systems, fuzzy identification, conditional parametric models, direct matrix control (DMC)