Reference
R. Carli, G. Cavone, T. Pippia, B. De Schutter, and M. Dotoli, "A robust MPC
energy scheduling strategy for multi-carrier microgrids,"
Proceedings of the 16th IEEE International Conference on Automation
Science and Engineering (CASE 2020), Virtual Conference, pp. 152-158,
Aug. 2020.
Abstract
We present a Robust Model Predictive Control (RMPC) approach for multi-carrier
microgrids, i.e., microgrids based on gas and electricity. The microgrid that
we consider includes thermal loads, electrical loads, renewable energy sources,
energy storage systems, heat pumps, and combined heat and power plants.
Moreover, the system under control is affected by several external
disturbances, e.g., uncertainty in renewable energy generation, electrical and
thermal demand. The goal of the controller is to minimize the overall
economical cost and the energy exchange with the main grid, while guaranteeing
comfort. Whereas several RMPC methods have been developed for electrical or
thermal microgrids, little or no attention has been devoted to robust control
of multi-carrier microgrids. Therefore, we consider a novel RMPC algorithm that
can improve the performance with respect to classical deterministic Model
Predictive Control (Det-MPC) controllers in the context of multi-carrier
microgrids. The RMPC method relies on the box-uncertainty-set robust
optimization, where uncertain parameters are assumed to take their values from
different intervals independently. The RMPC approach is able to successfully
satisfy the constraints even in the presence of the mentioned disturbances.
Simulations of a realistic residential case study show the benefits of the
proposed approach with respect to Det-MPC controllers.
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BibTeX
@inproceedings{CarCav:20-005,
author = {Carli, Raffaele and Cavone, Graziana and Pippia, Tomas and De
Schutter, Bart and Dotoli, Mariagrazia},
title = {A Robust {MPC} Energy Scheduling Strategy for Multi-Carrier
Microgrids},
booktitle = {Proceedings of the 16th IEEE International Conference on
Automation Science and Engineering (CASE 2020)},
address = {Virtual Conference},
pages = {152--158},
month = aug,
year = {2020}
}