Improved Genetic Algorithm Applied to Distributed Generation Allocation Considering Different Load Profiles
Karina Yamashita1; Alexandre Akira Kida1; Luis Alfonso Gallego Pareja1
1 Universidade Estadual de Londrina
Resumo
This paper presents an improved genetic algorithm to solve the distributed generation (DG) allocation problem in radial electrical energy distribution systems. The problem is formulated as a matter of nonlinear mixed integer programming, since it presents integer variables, which indicate the position where the DG will be allocated and the continuous variables, associated with electrical values (voltage, current, active and reactive power losses and power flow). In the proposed formulation, different load levels are considered. The objective is to minimize costs produced by system losses and costs for implementation and maintenance of the DG. The proposed methodology has been successfully tested for distribution systems with 69 and 135 bars.
Palavras-chave: Distributed Generation; Radial Distribution Systems; Improved Genetic Algorithm