Advanced Optimization of the Mexican National Interconnected Transmission Grid: A Comprehensive Analysis of Power Losses, Greenhouse Gas Emissions, and Renewable Energy Curtailment

Abstract

This study presents a thorough investigation into the Mexican National Interconnected System’s (NIS) Transmission grid, employing a mathematical optimization model implemented in the Julia programming language. The principal focus is to optimize the dynamic behavior of the system, considering both renewable and conventional energy sources.

The dispatch study spans from 2017 to 2022, with hourly annual generation resolution; it focuses on achieving optimal cost efficiency while simultaneously meeting the system’s de mand and analyzing the transmission power losses for different scenarios. The formulation systematically integrates factors such as bidirectional transmission flux, current flow, generation costs, greenhouse gas emissions including various pollutants, optimal operating policies, power losses, and transmission capacity.

The study highlights the mismatch between generation and transmission capacity growth, providing detailed assessments of the impact of minimum generation levels and grid upgrades. The findings contribute valuable insights into addressing congestion issues, optimizing the grid, and promoting sustainable energy practices in the Mexican NIS.

The study also addresses power flow and losses within the Mexican transmission grid, as well as the impacts of generating with higher generator minimum capacity levels. It covers environmental consequences, renewable energy curtailment, and congestion patterns arising from congestion and power losses.