Optimal day-ahead scheduling of electricity and natural gas system at the distribution level considering uncertainty of natural gas load

With the widespread of micro-turbines (MT) in the distribution network, the interaction between electricity and natural gas system is intensified. Compared with scheduling separately, the joint scheduling of the electricity and natural gas system is more economical and reliable. In this paper, we present an optimal day-ahead scheduling model of the electricity and natural gas system based on alternating direction method of multipliers (ADMM) to handle the opacity of the information between the electricity network and natural gas network. Besides, with consideration of the uncertainties of distributed generation (DG), the variations of the consumption in electricity network and the natural gas network, the worst case of the system is obtained by column-and-constraint generation (C&CG) algorithm and the natural gas flow model is processed by adopting incremental piecewise linear method (IPLM) which alleviates the difficulty of problem-solving. Finally, the effectiveness of the proposed model is validated by the case study.