Tidal barrage power plants use the difference in tidal elevation throughout the day to generate electrical power. The inner basin that these type of power plants have, combined with the slow variation of the tides, allow for an element of time-varying storage capacity compared to other more traditional renewable sources, such as wind and solar. This study focuses on exploiting the flexibility of tidal barrages to achieve a demand-following operation. Using the La Rance power plant as a case of study, and a typical residential demand curve, the optimal operation of a barrage is computed pursuing two different objectives: energy maximisation and demand matching. The resulting optimal control problem associated with each objective is solved using the moment-based control framework. Furthermore, a receding-horizon strategy is implemented, to account for the potential variability in the electrical demand, which presents a stochastic behaviour.
Flexible operation of tidal barrages for demand-matching generation: A case study in the La Rance power plant / Skiarski, A.; Ringwood, J. V.; Faedo, N.. - (2025), pp. 97-104. (Intervento presentato al convegno 6th International Conference on Renewable Energies Offshore, RENEW 2024 tenutosi a prt nel 2024) [10.1201/9781003558859-12].
Flexible operation of tidal barrages for demand-matching generation: A case study in the La Rance power plant
Faedo, N.
2025
Abstract
Tidal barrage power plants use the difference in tidal elevation throughout the day to generate electrical power. The inner basin that these type of power plants have, combined with the slow variation of the tides, allow for an element of time-varying storage capacity compared to other more traditional renewable sources, such as wind and solar. This study focuses on exploiting the flexibility of tidal barrages to achieve a demand-following operation. Using the La Rance power plant as a case of study, and a typical residential demand curve, the optimal operation of a barrage is computed pursuing two different objectives: energy maximisation and demand matching. The resulting optimal control problem associated with each objective is solved using the moment-based control framework. Furthermore, a receding-horizon strategy is implemented, to account for the potential variability in the electrical demand, which presents a stochastic behaviour.Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/3000659
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo