An IGDT-stochastic model for low-carbon economic dispatch of integrated electricity-natural gas systems considering grid-enhancing technologies

Abstract

Utilizing wind power alongside flexible resources such as power-to-gas technology, gas-fuel generator, demand response (DR) program, grid-enhancing technologies, and carbon capture and storage can help to low carbon operation of integrated electricity-gas systems (IEGSs). Accordingly, this paper proposes a low-carbon economic dispatch model for the IEGS, in which gas-fuel generators, DR, and gas-fuel generator are considered to realize the economic and environmentally friendly operation of these systems. Also, the flexible AC transmission system device as one of the grid-enhancing technologies is innovatively included in IEGSs to guarantee that wind power is deliverable entire the electricity system. Besides, power-to-gas equipped with hydrogen storage is used to absorb the excess wind power to produce CH₄. On the other hand, to capture the inherent flexibility of the gas network, the gas-storing characteristic of pipelines is shown by line pack modelling. To manage uncertainties associated with wind power and DR program, the proposed model is formulated as an IGDT-stochastic problem. For efficient computation purposes, the present work follows the mixed-integer linear programming framework. Different case studies are performed on an integrated test system. Numerical simulation results show that the proposed model leads to reducing the total cost, carbon emissions, and wind curtailment by 29%, 16.4%, and 100%, respectively. It can be seen that the proposed low-carbon ED model is environmentally friendly and has economic benefits.