Articial bee colony algorithm and applications to power system problems

• Grant number: 16/06571-8
• Support Opportunities: Scholarships abroad - Research Internship - Scientific Initiation
• Start date: August 01, 2016
• End date: November 30, 2016
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Carlos Alberto de Castro Junior
• Grantee: João Carlos Cerqueira
• Supervisor: Federico Milano
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Institution abroad: University College Dublin, Ireland
• Associated to the scholarship: 15/22202-0 - Study of the artificial bee colony algorithm and applications in power engineering, BP.IC

Abstract

The Articial Bee Colony (ABC) algorithm was originally proposed for solving optimization problems, based on the intelligent behaviour of bees in their natural habitat. Since then the ABC algorithm has been implemented to solve several problems, e.g. articial neural networks trainning, portfolio optimization, lot-sizing procedure, computer vision and clustering. In particular, a recent publication proposed theapplication of the ABC algorithm to the electric power system area, covering the multi-objective optimal power flow problem. The main goals of this project are (a) to study in detail the ABC algorithm and (b) to start studies towards advanced applications to electric power systems problems. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

CERQUEIRA, JOAO; BRUZZONE, FRANCESCO; CASTRO, CARLOS; MASSUCCO, STEFANO; MILANO, FEDERICO; IEEE. Comparison of the Dynamic Response of Wind Turbine Primary Frequency Controllers. 2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, v. N/A, p. 5-pg., 2017-01-01. (16/06571-8)