Abstract
The increasing integration of GFUs promotes the coordinated operation of power and gas systems to enhance the system efficiency and reliability. However, the gas inertia characteristic could have imperative impacts on the coordinated scheduling and this property has not been fully studied. This paper proposes a novel multi-period optimal energy flow (OEF) model considering gas inertia and wind power uncertainties for the scheduling and operation of integrated systems. The nonlinear transient natural gas transmission model is reformulated into a linear programming/quadratic programming (LP/QP) model via the reformulation linearization technique (RLT), yielding computational efficiency improvement. The gas inertia is molded as a time delay to study its impacts on the coordinated scheduling. Then, information gap decision theory (IGDT) based risk averse strategy is advocated to deal with the wind power uncertainties and the impact of the uncertainty level is quantified. Extensive simulation results on the modified 6-bus power system with 6-node gas system and the IEEE 39-bus power system integrated with a realistic 20-node natural gas network demonstrate the effectiveness of the proposed method.
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