Applying some EDAs and hybrid variants to the ERM problem under uncertainty

Abstract:

The Energy Resource Management (ERM) under uncertainty of a smartgrid is a highly complex problem (a Mixed Integer Non-Linear Problem) with the objective of maximizing profits by reducing the need to buy energy from the day-ahead market or external suppliers at high prices. In this paper, some approaches of Hybrid Estimation of Distribution Algorithm were implemented to solve the ERM Problem Under Uncertainty. Also, using the WCCI/GECCO 2020 ERM competition framework, a comparison amongst the variants implemented, the framework baseline algorithm, and the algorithms of the previous competitions, was done. The experimental results showed that these EDAs and hybrid methodologies are good tools to solve the ERM problem under uncertainty.

Año de publicación:

2020

Keywords:

• Evolutionary computation
• cellular estimation distribution algorithms
• Hybrid techniques
• smart grids
• uncertain environments

Fuente:

scopus