Author:
Vagnoni E,Gerini F,Cherkaoui R,Paolone M
Abstract
Abstract
The paper presents the development of a model-based Smart Power Plant Supervisor, a digital tool targeting the optimization of the operation and maintenance of hydroelectric units to improve ancillary services provision to the power system. The paper focuses on a control-oriented modelling methodology which allows integrating the operational parameters of the hydroelectric unit in an optimization algorithm steering the advanced control of the units. The technique to develop analytical functions representing the behaviour of the hydropower plant is presented and validated by comparing numerical simulations with measurements of the real time operation of the run-of-river hydropower plant Vogelgrun. The results show a good performance of the modelling technique able to correctly predict the power generation of the power plant over one month of operation.
Reference18 articles.
1. Entsoe - statistical factsheet 2018,2019
2. A standard method for specifying the response of hydroelectric plant in frequency-control mode;Jones;Electric Power Systems Research,2004
3. Interaction of a rotating two-phase flows with the torque stability of a reversible pump-turbine operating in condenser mode;Vagnoni;Int Journal of Multiphase Flow,2019
4. Mechanical risks prediction on Francis runner by Spatial Harmonic Decomposition;Bouloc;IOP Conf Proc. Earth and Env Science,2016
5. Condition monitoring and fault diagnostics for hydropower plants;Selak;Computers in Industry,2014
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