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In energy systems with high shares of weather-driven renewable power sources,gas-fired power plants can serve as a back-up technology to ensure security ofsupply and provide short-term flexibility. Therefore, a tighter coordinationbetween electricity and natural gas networks is foreseen. In this work, weexamine different levels of coordination in terms of system integration andtime coupling of trading floors. We propose an integrated operational model forelectricity and natural gas systems under uncertain power supply by applyingtwo-stage stochastic programming. This formulation co-optimizes day-ahead andreal-time dispatch of both energy systems and aims at minimizing the totalexpected cost. Additionally, two deterministic models, one of an integratedenergy system and one that treats the two systems independently, are presented.We utilize a formulation that considers the linepack of the natural gas system,while it results in a tractable mixed-integer linear programming (MILP) model.Our analysis demonstrates the effectiveness of the proposed model inaccommodating high shares of renewables and the importance of proper naturalgas system modeling in short-term operations to reveal valuable flexibility ofthe natural gas system. Moreover, we identify the coordination parametersbetween the two markets and show their impact on the system's operation anddispatch.

An Integrated Market for Electricity and Natural Gas Systems with Stochastic Power Producers