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Article

Field-Ready Implementation of Linear Economic Model Predictive Control for Microgrid Dispatch in Small and Medium Enterprises

1
Chair of Measurement and Control Systems, Center of Energy Technology (ZET), University of Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany
2
Richter R&W Steuerungstechnik GmbH, 95491 Ahorntal, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: José Matas
Energies 2021, 14(13), 3921; https://doi.org/10.3390/en14133921
Received: 28 May 2021 / Revised: 18 June 2021 / Accepted: 23 June 2021 / Published: 30 June 2021
(This article belongs to the Topic Power System Modeling and Control)
The increasing share of distributed renewable energy resources (DER) in the grid entails a paradigm shift in energy system operation demanding more flexibility on the prosumer side. In this work we show an implementation of linear economic model predictive control (MPC) for flexible microgrid dispatch based on time-variable electricity prices. We focus on small and medium enterprises (SME) where information and communications technology (ICT) is available on an industrial level. Our implementation uses field devices and is evaluated in a hardware-in-the-loop (HiL) test bench to achieve high technological maturity. We use available forecasting techniques for power demand and renewable energy generation and evaluate their influence on energy system operation compared to optimal operation under perfect knowledge of the future and compared to a status-quo operation strategy without control. The evaluation scenarios are based on an extensive electricity price analysis to increase representativeness of the simulation results and are based on the use of historic real-world measurements in an existing production facility. Due to real-world restrictions (imperfect forecast knowledge, implementation on field hardware, power fluctuations), between 72.2% and 85.5% of the economic optimum (rather than 100%) is reached. Together with reduced operation cost, the economic MPC implementation on field-typical industrial ICT leads to an increased share of renewable energy demand. View Full-Text
Keywords: model predictive control; hardware-in-the-loop; programmable logic controller; cyber-physical system; energy transition; smart energy systems model predictive control; hardware-in-the-loop; programmable logic controller; cyber-physical system; energy transition; smart energy systems
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Figure 1

  • Externally hosted supplementary file 1
    Doi: 10.15495/DO_UBT_1792
    Link: https://doubt.uni-bayreuth.de/node?id=1792
    Description: Scenario data for a field-ready implementation of linear economic model predictive control for microgrid dispatch in small and medium enterprises
MDPI and ACS Style

Kull, T.; Zeilmann, B.; Fischerauer, G. Field-Ready Implementation of Linear Economic Model Predictive Control for Microgrid Dispatch in Small and Medium Enterprises. Energies 2021, 14, 3921. https://doi.org/10.3390/en14133921

AMA Style

Kull T, Zeilmann B, Fischerauer G. Field-Ready Implementation of Linear Economic Model Predictive Control for Microgrid Dispatch in Small and Medium Enterprises. Energies. 2021; 14(13):3921. https://doi.org/10.3390/en14133921

Chicago/Turabian Style

Kull, Tobias, Bernd Zeilmann, and Gerhard Fischerauer. 2021. "Field-Ready Implementation of Linear Economic Model Predictive Control for Microgrid Dispatch in Small and Medium Enterprises" Energies 14, no. 13: 3921. https://doi.org/10.3390/en14133921

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