Stochastic unit commitment and reserve scheduling under gas-supply disrupted scenarios

Gas network operations may affect the day-ahead generator commitment and the scheduling of power reserves, due to the interdependencies between the gas and the electric infrastructures. Moreover, abnormal operating conditions in the gas infrastructure, i.e. large losses of supply, may further exacerbate the gas-electric interdependencies, by inducing massive electric gas load shedding. To address this issue, we assess the day-ahead electric power and reserve scheduling when gas security of supply is compromised. The day-ahead scheduling of electric generators is computed via stochastic optimization. Gas load shedding is evaluated through a transient gas flow model. The general methodology is exemplified with reference to simplified gas and electric power infrastructures of Great Britain under the 2030 Gone Green scenario. Results show that the failures of the Bacton and of the IOG terminals induce the largest pressure violations in the gas system. To prevent unsafe operations, the electric system must re-schedule gas-fired power plants from the South to the central part of Great Britain, and activate coal and pump storage units that cause an operative cost increase of 5% in the investigated case study. These results support operators and regulators by providing a techno-economical evaluation of the gas-electric interdependencies.