Stochastic day-ahead scheduling of thermal and hybrid units in insular power systems with high wind penetration

Global targets for reduced CO
₂
emissions along with guaranteed energy supply have motivated governments to take drastic steps towards the large-scale integration of Renewable Energy Sources (RES). With the levels of wind integration constantly increasing, more sophisticated methods are required to ensure the economic, secure and sustainable energy provision, especially in insular power systems, where the only energy source is the local generation mix. Hybrid Power Stations (HPS), comprising both wind farms and hydro storage facilities, can help in this direction. In this work, a two-stage stochastic model is presented, for the joint optimization of energy and reserves required from both conventional units and HPS. The proposed methodology is tested on a real-world system, the insular power system of Crete, for the examination of the HPS's integration impact on the day-ahead scheduling process.