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Economic MPC based on LPV model for thermostatically controlled loads | IEEE Conference Publication | IEEE Xplore

Economic MPC based on LPV model for thermostatically controlled loads


Abstract:

Rapid increase of the renewable energy share in electricity production requires optimization and flexibility of the power consumption side. Thermostatically controlled lo...Show More

Abstract:

Rapid increase of the renewable energy share in electricity production requires optimization and flexibility of the power consumption side. Thermostatically controlled loads (TCLs) have a large potential for regulation service provision. Economic model predictive control (MPC) is an advanced control method which can be used to syncronize the power consumption with undispatchable renewable electricity production. Thermal behavior of TCLs can be described by linear models based on energy balance of the system. In some cases, parameters of the model may be time-varying. In this work, we present a modified economic MPC based on linear parameter-varying model. In particular, we provide an exact transformation from a standard economic MPC formulation to a linear program. We assume that the variables influencing the model parameters are known (predictable) for the prediction horizon of the controller. As a case study, we present control system that minimizes operational cost of swimming pool heating system, where parameters of the model depend on the weather forecast. Simulation results demonstrate that the proposed method is able to deal with this kind of systems.
Date of Conference: 29-30 June 2017
Date Added to IEEE Xplore: 03 August 2017
ISBN Information:
Electronic ISSN: 2380-6516
Conference Location: Astana, Kazakhstan
Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, Liberec, Czech Republic
Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, Liberec, Czech Republic
Faculty of Automation and Computer Engineering, Novosibirsk State Technical University, Novosibirsk, Russian Federation
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs Lyngby, Denmark
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs Lyngby, Denmark
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs Lyngby, Denmark

I. Introduction

The share of renewable energy in modern energy systems is becoming more and more significant: many countries tend to reduce and some of them even to eliminate power production by fossil fueled plants [1], [2]. For instance, the Nordic countries plan to build a fossil-free energy system by 2035 [3].

Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, Liberec, Czech Republic
Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, Liberec, Czech Republic
Faculty of Automation and Computer Engineering, Novosibirsk State Technical University, Novosibirsk, Russian Federation
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs Lyngby, Denmark
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs Lyngby, Denmark
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs Lyngby, Denmark

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References

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