Name/Tagline
Development of Artificial Intelligence Techniques for the Optimization of Electric Power Distribution Systems

Description
This project considers the theoretical analysis and computational implementation of artificial intelligence techniques applied to the optimization of the operation and planning of electricity distribution systems. The project includes the development and adaptation of metaheuristic techniques, namely particle swarm optimization, evolutionary techniques and scattered search. The metaheuristic models are complemented by learning methodologies, which allow the automatic identification of the most appropriate parameterization to be applied through the analysis of the execution history, considering the characteristics of the problem and constraints related to the execution time. The optimization methods are also endowed with runtime adaptation capabilities, in order to be able to automatically direct the search process through the learning results.

Responsible
Sergio Ramos (ISEP)

Project Coordinator
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Others
CAPES-FCT