  The interactions of the natural gas (NG) network and the electricity system
are increased by using gas-fired generation units, which use NG to produce
electricity. There are various uncertainty sources such as the forced outage of
generating units or market price fluctuations that affect the economic
operation of both NG and electricity systems. This study focuses on the
steady-state formulation of the integrated NG transmission grid and electricity
system by considering the uncertainty of electricity market price based on
information gap decision theory. The higher and lower costs than the expected
cost originated from the fluctuations of electricity market price are modelled
by the robustness and opportunity functions, respectively. The objective is to
minimise the cost of zone one while satisfying the constraints of two
interdependent systems, which can obtain revenue from selling power to its
connected zones in short-term scheduling. The capability of the proposed method
is demonstrated by applying it on a 20-node NG network and IEEE RTS 24-bus. The
proposed short-term coordination between NG and electricity infrastructures is
solved and discussed.
