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.