Specialized genetic algorithm to solve the electrical distribution system expansion planning

• Autor(a) principal: Camargo, Vera
• Data de Publicação: 2013
• Outros Autores: Lavorato, Marina [UNESP], Romero, Rubén [UNESP]
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1109/PESMG.2013.6672615; http://hdl.handle.net/11449/232223
• topic: Distribution network planning; genetic algorithm; mixed integer nonlinear programming; power systems optimization

A specialized genetic algorithm with a adaptation of Chu-Beasley algorithm is presented in this paper to solve the electrical distribution distribution system expansion planning (DSP) problem modeled by a mixed integer nonlinear programming problem. The specialized genetic algorithm proposed in this paper starting from a initial population where all elements have a radial topology found using a heuristic algorithm and after the selection and mutation operations must also go through a local improvement in order to make the proposed solution in a feasible solution, if necessary, with respect to operational constraints. The DSP problem presented in this paper consider the circuit construction/recondutoring for different types of conductors and the substation construct/reinforcement. To evaluate the quality of the proposed methodology were used three different test systems found in the literature, 23, 54 and 136 buses systems. © 2013 IEEE.