@article {306,
	title = {Predictive management approach for the coordination of wind and water-based power supplies},
	journal = {Energy},
	year = {2020},
	pages = {119535},
	abstract = {<p>This paper addresses the coordinated operation between wind farms and reservoir hydropower plants in networks with weak transmission capacity. The joint operation of the energy sources is captured by a Virtual Power Plant (VPP) representation. With the aim of maximising renewable energy penetration while ensuring a suitable VPP integration, a supervisory controller for the energy dispatch layer is proposed. To deal with the variable nature of both resources, the controller has been designed into a model predictive control framework including mixed-integer quadratic programming (given the hybrid considered model) for solving the related optimisation problem, and complementary techniques as constraints softening and time-varying weighting. The results indicate that the predictive control approach achieves a better Independent System Operator (ISO) reference tracking that, together with reservoir management, are the most important factors to ensure a suitable VPP incorporation to the main grid. As a case study, a sub-network of the Argentinian power system is tackled. The controller performance is quantitatively and qualitatively assessed under uncertain conditions and compared with other approaches over a nine-year period. By means of the proposed power management policy, the ISO{\textquoteright}s effort to balance the sub-network is reduced 56\% with regard to other approaches without any water spillage.</p>
},
	issn = {0360-5442},
	doi = {https://doi.org/10.1016/j.energy.2020.119535},
	author = {Levieux, Luis I. and Ocampo-Mart{\'\i}nez, Carlos and Inthamoussou, Fernando A. and De Battista, Hern{\'a}n}
}
