Day-ahead Economic Dispatch for Electricity-Gas Integrated Energy System with Multiple Energy Hubs based on Chance Constraints

The energy hubs, which integrate the energy production, transformation, storage and consumption, make the coordinated planning and operation of power grid with natural gas system possible, however the multiple uncertainties are the uppermost problems that the scheduling departments of electricity-gas integrated energy systems have to be faced with.To solve this problem, a chanceconstraints basedplanning for electricity-gas integrated energy system containing multi energy hubs was constructed. Firstly, the energy storage characteristics of gas pipe network was fully utilized, and based on the fine modelings for energy hubs, power grid and natural gas system and considering the uncertainties of wind power generation and loads, a day-ahead dispatching model containing chance constraints was established. Secondly, the power flow in the gas network was linearized and by use of Bernstein approximation the established model was transformed into a deterministic integer mixed linear convex optimization problem that could be effectively solved by commercial software. Finally, the proposed model was simulated in IEEE RST 24 power system with 3 energy hubs and Belgium's 20-node natural gas system. Simulation results show that the dynamic characteristics of gas network can provide buffer for the dispatching of integrated energy system, and the proposed deterministic transformation method can effectively reflect the robustness of chance-constrained programming.