Information Gap Decision Theory for Scheduling of Electricity-Gas Systems in the Presence of Demand Response

Abstract

High-level integration of wind energy in power networks has raised the need for flexible units. Gas-fuel generators (GFG) with fast startup/shutdown and high ramp rate capability can provide the required flexibility in the operation of wind energy. However, the operation of GFGs can be affected by the limitations of the fuel transmission system. Demand response programs can decrease the effect of fuel transmission system restrictions in the operation of GFGs and as well as, increase the integration of wind energy into the electricity network. In this work, a scheduling model for electricity and gas networks considering demand response programs is presented. Uncertainties pertain to wind energy and demand response program are addressed in this model. Moreover, power to gas technology is used to prevent wind curtailment. This scheduling model is based on the information gap decision theory (IGDT) that can assess the level of risk pertains to uncertainties. The proposed framework has been simulated on two different networks to represent the effectiveness of the model