In this thesis, optimal weekly self-schedule of a natural gas power plant with a hydrogen storage system is determined by using a stochastic model with risk constraints in a day-ahead electricity market. Different electricity price scenarios have been created for a weekly schedule where each scenario represents a certain month in a year. The risk associated with this scheduling decision is characterized by a conditional value at risk (CVaR) measure and a trade-off between this risk and operation ...