A Decentralized and Robust Optimal Scheduling Model of Integrated Electricity-gas System for Wind Power Accommodation

The technological breakthroughs and popularization of gas-fired unit and power-to-gas device have accelerated the development of integrated electricity-gas system (IEGS), and simultaneously provided new ideas for wind power accommodation in a "wind-electricity-gas complementation" manner. This paper considered information privacy and operational mechanism barriers between different energy systems, took into account uncertainties from wind and load, and established a decentralized cooperative day-ahead and real-time two-stage robust optimization scheduling model for IEGS with dynamic line pack. The model starts from a set of initial feasible solutions of fixed 0-1 variables that simultaneously take into account the day-ahead predicted and real-time extreme scenarios. The nested three-layer model was used to decouple the iteratively updated binary and continuous variables, resulting in the decentralized autonomy of electric and gas systems and the robust economic operation of IEGS. The analysis of numerical examples verifies the rationality and effectiveness of the proposed method in terms of calculation effect, convergence, robustness, and improvement of wind power accommodation. © 2020 Chin. Soc. for Elec. Eng.