Stochastic simulation framework for optimal planning of hybrid system of hydroelectic - wind energy. Investigation based on the Aliakmonas hydrosystem

Pumped storage is a proven technology with very high efficiency that offers a unique large-scale energy buffer. Energy storage is employed by pumping water upstream to take advantage of the excess of energy (e.g. during night) and next retrieving this water to generate hydro-power during demand peaks. This excess can be offered by other renewables, which can be integrated within hydroelectric systems with pumped storage facilities to formulate autonomous hybrid renewable energy systems (HRES). The optimal planning and management of HRES requires a holistic overview, where uncertainty is properly represented. In this context, a novel framework is proposed, based on stochastic simulation and optimization. This is tested in an existing hydrosystem of Greece, considering its combined operation with a hypothetical wind power system, for which we seek the optimal design to ensure the most beneficial performance of the overall scheme.