A Stochastic Transactive Energy Model for Optimal Dispatch of Integrated Low-Carbon Energy Hubs in the Incorporated Electricity and Gas Networks

To efficiently and reliably satisfy energy demand
in multi-carrier energy networks (MCENs), energy hubs play a
noteworthy role as the interface structure for integrating
multiple energy carriers and production resources. This paper
proposes an optimal energy dispatch schedule model for
renewable-based energy hubs in the real-time energy market. In
this study, wind turbines and PV panels are intended to realize
the high-level clean energy production goal while battery energy
storage system is used for alleviating fluctuations of their
outputs. The effective potential of transactive energy technology
is used for establishing a dynamic energy balance by creating
the local energy market as the free energy trading environment
for energy hubs. To cope with the intermittencies in the system,
an autoregressive integrated moving average approach and fast
forward selection methods are exerted for scenario generation
and reduction processes. Because the incorporated structure of
the power and natural gas grids is considered for creating
efficient interoperability between the energy hubs, an integrated
version of the IEEE 14-bus and 14-node gas networks is selected
for validating the studied system. The results justified the
effectiveness of the suggested model in optimal scheduling of the
low-carbon energy hubs in the MCEN.