Stochastic Optimization for Combined Economic and Emission Dispatch with Renewables

Environmental issues of thermal power plants and depletion of natural energy resources are the main motivations for applying renewable energy sources (RESs) in power system. Therefore, it is important to consider RESs when performing combined economic and emission dispatch (CEED). In this study, in the variability and uncertainties concerned with RESs and load demand are addressed with batteries installed in the power system as energy storage systems and stochastic optimization applied to solve the problem. A case study is presented to demonstrate the economic and environmental benefits achieved as a result.