Optimization Models for the Generation, Distribution and Transmission of Electricity in a Macroscopic System: Representation of Operational Regions As Energy Hubs

This work proposes two optimization models for the optimal management (generation, conversion and distribution) of electricity in a macroscopic system divided into geo-graphical regions; the resulting model is applied to the national system for the distribu-tion of electricity in Mexico. The formulations are based on the concept of an energy hub. The first model is a linear programming model which represents the operation of the system during one hour. It provides the optimal decisions to satisfy demands at minimum cost. Such a basic model is then extended into a mixed-integer linear multiperiod model (MILP) which is applied to a 24-hour scenario. Further, the MILP multiperiod model also considers the interactions among transmission regions existing in each of the geo-graphical regions. In particular, this last model considers the regions of the National Transmission Network in Mexico as well as the available storage and the electricity generation facilities owned by the private sector. The MILP model consists of 21,773 constraints; its optimal results suggest that power plants operating with combined cycle contribute with 50 % of the power generation; hydroelectric power plants contribute with approximately 18 %. The current practical goal of 30 % of renewable energy generation can be achieved through the installed capacity.(c) 2022 Published by Elsevier Ltd on behalf of Institution of Chemical Engineers.