Specialized genetic algorithm to solve the electrical distribution system expansion planning
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Data
2013-12-01
Autores
Camargo, Vera
Lavorato, Marina [UNESP]
Romero, Rubén [UNESP]
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Resumo
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.
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Distribution network planning, genetic algorithm, mixed integer nonlinear programming, power systems optimization
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IEEE Power and Energy Society General Meeting.