Stochastic Modeling for Wind Integration
Prof. Dr. Christoph Weber
The presentation aims at providing in a first step a systematic approach to the categorization of various types of integration costs. In a second step, the focus is to use concepts of stochastic optimization to quantify the costs of variability and of (partial) impredictability associated with wind energy. Rolling planning is used to simulate the arrival of new information and a detailed model of the power system allows accounting for increases in start-up costs, reduced part load efficiency and network congestions.
Finally, the approaches developed are applied in a case study for European power systems.