Study on optimization of gas-electric coordinated operation of energy hub considering cost

With the guidance of low carbon policy, renewable energy such as wind energy and photovoltaic energy are heavily connected to distributed energy hubs. Multiple uncertainties bring challenges to the operation and control of the system, which makes it of great significance to formulate the operation scheme of low-carbon economy of energy hub. In this paper, the influence of the uncertainty of cold thermoelectric load on the cost is considered, and the gas-electric cooperative optimization is studied. The Lagrangian two-stage relaxation solution model is constructed by using the minimum-maximum regret criterion and dual optimization theory. The validity of the model is verified by simulation and the influence of prediction accuracy level, energy price level and seasonal characteristics of load on the optimization results is analyzed Ring.