Naslov (eng)

Control theory-based data assimilation for hydraulic models as a decision-support tool for hydropower systems: sequential, multi-metric tuning of the controllers

Autor

Milašinović, Miloš
Prodanović, Dušan
Zindović, Budo
Stojanović, Boban
Milivojević, Nikola

Publisher

Opis (eng)

ABSTRACT-Increasing renewable energy usage puts an extra pressure on decision-making in river hydropower systems. Decision support tools are used for near-future forecasting of the water available. Modeldriven forecasting used for river state estimation often provides bad results due to numerous uncertainties. False inflows and poor initialization are some of the uncertainty sources. To overcome this, standard data assimilation (DA) techniques (e.g., ensemble Kalman filter) are used, which are not always applicable in real systems. This paper presents further insight into the novel, tailor-made model update algorithm based on control theory. According to water-level measurements over the system, the model is controlled and continuously updated using proportional–integrative–derivative (PID) controller(s). Implementation of the PID controllers requires the controllers’ parameters estimation (tuning). This research deals with this task by presenting sequential, multi-metric procedure, applicable for controllers’ initial tuning. The proposed tuning method is tested on the Iron Gate hydropower system in Serbia, showing satisfying results.

Jezik

engleski

Datum

2021

Licenca

Ovo delo je licencirano pod uslovima licence
Creative Commons CC BY-NC-ND 4.0 - Creative Commons Autorstvo - Nekomercijalno - Bez prerada 4.0 International License.

http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

Predmet

hydraulic model update, model-driven forecasting, near future forecasting, PID controller, PID controllers tuning

Deo kolekcije (1)

o:243

Institut za vodoprivredu "Jaroslav Černi"