Distributed adjustable robust optimal power-gas flow considering wind power uncertainty

The rapid uptake of natural gas-fired units in energy systems poses significant challenges coordinating the electricity and gas systems. Besides, uncertainty caused by integrated renewable such as wind power raises more requirements on robustness operation for system (IEGS). To address these challenges, this paper investigates distributed adjustable robust optimal flow (OPGF) model IEGS. Using linear decision rules (LDRs), we first propose an improved combining with automatic generation control to fully exploit its potential dealing while utilizing controllable polyhedral set reduce solution conservatism. This LDRs based approach can computational burden existing decomposition when applied optimization. Then, preserve information privacy decision-making independence subsystems, two tailored alternating direction method multipliers (ADMM) optimization frameworks IEGS without a central coordinator are presented, respectively. Effectiveness is illustrated through benchmark case studies. • Exploiting AGC uncertainty. Proposing LDRs-based OPGF model. ADMM under infrastructure networks.