Biased random-key genetic algorithms applied in the optimal allocation of capacitor banks in distribution systems

• Grant number: 18/21721-1
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: December 01, 2018
• End date: November 30, 2019
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Rubén Augusto Romero Lázaro
• Grantee: Rafael Yuki de Souza Yamamoto
• Host Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil
• Associated research grant: 15/21972-6 - Optimization of the operation and planning in transmission and distribution systems, AP.TEM

Abstract

The project considers the theoretical analysis, formulation and computational implementation of the metaheuristic called the biased random-key genetic algorithm applied to the problem of allocation of capacitor banks in electric power distribution systems. In particular, it is intended to apply this meta-heuristic for the optimal allocation of capacitor banks in radial distribution systems considering the allocation of fixed and switched banks and considering the discretization of the demand curve at three levels, that is, high, normal and light. The metaheuristic to be implemented is a newly developed optimization technique in the field of operational research and presents excellent performance in the optimization of highly complex problems.