Periodic constraint-tightening MPC for switched PV battery operation
Charge–discharge schedules of photovoltaic (PV) batteries are planned based on the prediction of solar irradiance, and various methods have been studied to cope with prediction uncertainty. Among them, the switching of charge–discharge schedules could be a measure for keeping supply–demand balance a...
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Published in | IET control theory & applications Vol. 12; no. 15; pp. 2010 - 2021 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
The Institution of Engineering and Technology
16.10.2018
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Subjects | |
Online Access | Get full text |
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Summary: | Charge–discharge schedules of photovoltaic (PV) batteries are planned based on the prediction of solar irradiance, and various methods have been studied to cope with prediction uncertainty. Among them, the switching of charge–discharge schedules could be a measure for keeping supply–demand balance against abrupt weather changes. Those methods motivate a PV battery operation problem to retain the trackability of the secondary reference even when the primary schedule is ongoing. This study addresses the periodic operation of PV battery systems subject to the reference switching, and designs a switching model predictive control (MPC) to track the primary and secondary references with guaranteed feasibility. The proposed MPC design also incorporates the constraint-tightening technique, by which the operational limits are kept under the prediction error associated with each of the schedules. In order to utilise the design freedom in compensating the prediction error, the authors construct the constraint-tightening gain based on economic dispatching control, and discuss the features in terms of design simplicity and fuel cost efficiency. |
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ISSN: | 1751-8644 1751-8652 |
DOI: | 10.1049/iet-cta.2017.1174 |