Introduction: A chance constrained optimization problem involves constraints with stochastic data that are required to be satisfied with a pre-specified probability. When the underlying distribution of the stochastic data is not known precisely, an often used model is to require the chance constraints to hold for all distributions in a given family. Such a problem is known as a distributionally...

With the increasing integration of renewable energy into power networks, scheduling and operation systems become more challenging, in particular because intermittency wind speed. Thus, appropriate optimization tools are needed to efficiently manage modern systems. This paper considers unit commitment problem under high penetration. To mitigate potential negative effects inaccurate forecast, a c...