A5049173953- Electric Power System Optimization
- Smart Grid Energy Management
- Optimal Power Flow Distribution
- Flexible and Reconfigurable Manufacturing Systems
- Assembly Line Balancing Optimization
- Integrated Energy Systems Optimization
- Product Development and Customization
- Manufacturing Process and Optimization
- Scheduling and Optimization Algorithms
- Water resources management and optimization
- Human Resource Development and Performance Evaluation
- Innovative Teaching and Learning Methods
- Education and Learning Interventions
- Human-Automation Interaction and Safety
- Educational Games and Gamification
- Competency Development and Evaluation
- Power System Reliability and Maintenance
- Innovations in Educational Methods
- AI-based Problem Solving and Planning
- Human Resource and Talent Management
- Multi-Criteria Decision Making
- Advanced Multi-Objective Optimization Algorithms
- Statistics Education and Methodologies
- Engineering Education and Technology
- Microgrid Control and Optimization
Tecnológico de Monterrey
2022-2024
Instituto de Investigaciones Eléctricas
2007-2016
Universidad Del Valle De Cuernavaca
2009
Wichita State University
2006
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> A long-term multiobjective model for the power generation expansion planning of electric systems is described and evaluated in this paper. The optimizes simultaneously multiple objectives (i.e., minimizes costs, environmental impact, imported fuel price risks) decides location planned units a multiperiod horizon. Among attributes considered are investment operation cost units, amount fuel,...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> The generation expansion planning (GEP) problem is defined as the of determining WHAT, WHEN, and WHERE new units should be installed over a horizon to satisfy expected energy demand. This paper presents framework determine number generating (e.g., conventional steam units, coal combined cycle modules, nuclear plants, gas turbines, wind farms, geothermal hydro units), power capacity for those...
In 2013, Centro Nacional de Control Energía (CENACE), which is Mexico’s power system operator, updated its short-term hydrothermal coordination planning (STHTCP) tool. CENACE utilized commercial software to solve mixed-integer programming models for the unit commitment and economic dispatch of thermal units, such as gas, coal-fired, combined-cycle plants. an earlier paper that we reference, authors this describe mathematical model (TUC) problem, a sub-problem in STHTCP process. The new tool,...
The day-ahead electricity market is crucial for improving energy generation and sales planning. This paper evaluates a hydro-thermal network-constrained unit commitment model, its solution method developed the Mexican market. objective function maximizes economic surplus participants. problem formulated as mixed-integer non-linear programming problem, considering real-world constraints hydropower generator function. A decomposition approach employed to solve problem. Additionally, new...
In this paper, we present a fuzzy multi-objective model for power generation expansion planning problem with uncertainty in objective functions and demand balance constraints. The purpose of the is to determine optimal amount existing new units transmission network, given that decision maker may tolerate some violation constraints functions. A linear programming approach utilised transform multiobjective into program. To illustrate proposed model, Mexican electric system case studied....
In 2015, the Ministry of Energy created a wholesale electricity market in Mexico. As result, country shifted from vertically integrated regulation to competitive framework. this context, day-ahead is essential plan better generation and sales energy. This paper evaluates hydro-thermal security-constrained unit commitment model its solution method. The objective function determines maximum economic surplus participants market. problem modeled as mixed-integer non-linear programming...