Natural gas consumption and the share of
renewable energy in meeting global energy demand has grown
dramatically in the recent years. On the other hand, the rapid
growth of gas-fired generating units (GFU) (i.e., producing lower
carbon dioxide emissions compared to coal-fired generating units),
could play a key role in more integration of renewable energy
sources (RESs) into the system due to their high flexibility.
Therefore, the interaction between the electricity and natural gas
networks (ENGN) becomes more challenging. This paper proposes
a robust multi objective integrated mixed integer nonlinear
optimization model, utilizing information-gap decision theory
(IGDT), for secure and optimal operation of ENGN considering
security constraints as well as gas and electricity load demand
uncertainties. This bi-objective optimization problem is modified
using normalization in the weighted sum method in order to
ensuring the consistency of the optimal solutions. The proposed
framework is validated on the modified IEEE 24-bus power
system with a 15-node natural gas system.