OSoM: Optimal Storage Management for Variable Generation

optimal energy stograge management for solar generation

One of the exciting topics we’ve been working on is algorithms and models related to energy management, where uncertainty is a crucial element in the process. In particular, our focus is currently on building decision support tools for optimal storage management when a variable and intermittent source of energy is used.

This project combines machine learning methodologies and stochastic optimization tools to develop optimal energy management systems for a system with photovoltaic generation, interconnection with the grid, and energy storage. If no storage is available, the decision is simple: if generation is larger than our demand, we sell to the grid. Otherwise, we need to buy from the grid. When storage is present, the decision is not as straightforward. Should we store the energy for future usage? Or maybe tomorrow we will have a large surplus of energy that allows us to use the energy today, at a time when the price is high. When is the best time to sell, store or use solar energy? We answer these questions through our research project by developing a prototype that implements the optimal decisions defined by our mathematical optimization models and measuring this approach’s benefits compared to today’s standard storage policies.

This project is funded by FONDEF ID19I10158 grant from ANID y has cloud resources thanks to the AWS Cloud Credit for Research program.

Project Team:

  • PI/Director: Rodrigo A. Carrasco
  • Subdirector: Tito Homem-de-Mello
  • Researchers: Francisco Jara, Jocelyn Olivari, Gonzalo Ruz, Carlos Silva
  • Engineers: Benjamín Bastidas, José Luis Ortiz
  • Students: Anthony D. Cho, Helena García
Rodrigo A. Carrasco
Rodrigo A. Carrasco
Associate Professor & Academic Director Master in Industrial Engineering
Tito Homem de Mello
Tito Homem de Mello
Universidad Adolfo Ibáñez
Francisco Jara
Francisco Jara
Universidad de Santiago de Chile
Jocelyn Olivari
Jocelyn Olivari
Universidad Adolfo Ibáñez
Gonzalo Ruz
Gonzalo Ruz
Universidad Adolfo Ibáñez
Carlos Silva
Carlos Silva
Universidad Adolfo Ibáñez
Benjamín Bastidas
Benjamín Bastidas
Research Engineer
José Luis Ortiz
José Luis Ortiz
ALMA Observatory
Anthony D. Cho Lo
Anthony D. Cho Lo
PhD Student, Industrial Engineering and Operations Research

My research interests are in machine learning, operation research, and image processing. I’m currently working in applications related to diagnostic and pattern detection related to astronomy instrument and maintenance management.

Helena García
Helena García
MSc Student, Industrial Engineering

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