Optimal Allocation and Sizing of Distributed Generation for Loss Minimization using a Multi-Population Genetic Algorithm

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Author(s):	Silva Almeida, Alessandro Wilk ; Motta Toledo, Claudio F. ; Arantes, Marcio S. ; IEEE Total Authors: 4
Document type:	Journal article
Source:	2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC); v. N/A, p. 7-pg., 2020-01-01.
Abstract
The paper introduces a evolutionary algorithm, based on Multi Population Genetic Algorithm (MPGA), to support decisions about allocation and power sizing of generation units within power systems. The effectiveness of the MPGA is tested over two different radial distribution systems taking into account five different scenario. The evaluated power systems are the 33 and 69-bus radial distribution systems, which are benchmark systems from literature. The promising results achieved are compared against recent literature results for the same problem. (AU)

FAPESP's process:	13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:	Francisco Louzada Neto
Support Opportunities:	Research Grants - Research, Innovation and Dissemination Centers - RIDC