Robust Nonlinear Economic MPC Based Management of a Multi Energy Microgrid

In this paper, the nonlinear economic model predictive control based energy management of a multi-energy microgrid is presented. The microgrid is composed of the district heating system with a cogeneration power plant supplying both the heat and the electricity demand of residential buildings with p...

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Bibliographic Details
Published in:IEEE transactions on energy conversion 2021-06, Vol.36 (2), p.1528-1536
Main Authors: Vasilj, Josip, Jakus, Damir, Sarajcev, Petar
Format: Article
Language:English
Subjects:
Buildings
Cogeneration
Distributed generation
District heating
Economic analysis
Economic models
Economics
Electric power demand
Energy management
Heating systems
Mathematical model
microgrid
Microgrids
model predictive control
Multi-energy systems
Predictive control
Residential buildings
Residential energy
Resistance heating
robust control
Robustness
Thermal analysis
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Summary:In this paper, the nonlinear economic model predictive control based energy management of a multi-energy microgrid is presented. The microgrid is composed of the district heating system with a cogeneration power plant supplying both the heat and the electricity demand of residential buildings with photovoltaic sources. Furthermore, access to liberalized heat and electricity market is assumed. This kind of environment requires consideration of the economical aspects, the technical aspects, the safety/quality of supply, and consumer preferences. The major contributions introduced in the presented approach are the following. A nonlinear formulation is adopted to capture the nonlinear thermal models and the nonlinear algebraic model of the heat supply network. The second major contribution is the economic character of the objective following the assumption of a liberalized market environment. Such formulation accounts for the specifics of the energy market organization. Finally, the stochastic nature of the planning problem is introduced through a practical robust formulation. The results obtained on a representative case study clearly show the benefits of the proposed approach compared to the traditional energy management approach.
ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2020.3046459