This paper is the first of a two-part paper presenting a multiperiod generalized network flow model of the integrated energy system in the United States. Part I describes the modeling approach used to evaluate the economic efficiencies of the system-wide energy flows, from the coal and natural gas suppliers to the electric load centers. Under the proposed problem formulation, fuel supply and electricity demand nodes are connected via a transportation network and the model is solved for the most efficient allocation of quantities and corresponding prices. The methodology includes the physical, economic, and environmental aspects that characterize the different networks. Part II of this paper provides numerical results that demonstrate the application of the model.
This paper presents a multiperiod generalised network flow model used to analyse the economic interdependencies of integrated energy systems comprising the electric network and the various fuel supply and delivery systems in a medium term operational time frame. By using a network flow programming model, one can take advantage of much faster solution procedures than standard linear programming techniques; an issue of importance considering the dimensionality of such integrated systems. The nodal prices that are obtained as a byproduct of the optimisation algorithm provide a way to analyse the economic interdependencies between the various fuel networks and the electric network. A numerical example is presented to highlight the benefits of the methodology and illustrate how nodal prices in the electric network are influenced by the dynamics of the various fuel networks.
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