Co‐optimisation and settlement of power‐gas coupled system in day‐ahead market under multiple uncertainties

The interdependency of power systems and natural gas is being reinforced by the emerging power-to-gas facilities (PtGs), existing gas-fired generators. To jointly improve efficiency security under diverse uncertainties from renewable energy resources load demands, it essential to co-optimise these two for day-ahead market clearance. A data-driven integrated electricity-gas system stochastic co-optimisation model proposed in tis work. accurately approximated sequential mixed integer second-order cone programming, which can then be solved parallel decentralised manners leveraging generalised Benders decomposition. Since price formation settlement issues have rarely been investigated electricity–gas an uncertainty setting, a novel concept expected locational marginal value credit flexibility PtGs that helps hedging uncertainties. By comparing with deterministic distributionally robust model, advantage solution method are validated. Detailed results pricing presented, showing fairly contribution reflect deficiency capturing