Tuning Model Predictive Control for Rigorous Operation of the Dalsfoss Hydropower Plant
Peer reviewed, Journal article
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Date
2022Metadata
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Jeong, C., & Sharma, R. (2022). Tuning Model Predictive Control for Rigorous Operation of the Dalsfoss Hydropower Plant. Energies, 15(22), Artikkel 8678. https://doi.org/10.3390/en15228678Abstract
Model predictive control is considered an attractive control strategy for the operation of hydropower station systems. It is due to the operational constraints or requirements of the hydropower system for safe and eco-friendly operation. However, it is mandatory to tune the model predictive control to achieve its best and most efficient performance. This paper determines the appropriate tunning on the weight parameters and the length of the prediction horizon for implementing model predictive control on the Dalsfoss hydropower system. For that, several test sets of the weight parameter for the optimal control problem and different lengths of the prediction horizon are simulated and compared.