Title :
Hierarchical genetic algorithm-based switching device. Placement in distribution systems
Author :
Abdelaziz, Ahmed R. ; El-Habachi, Ahmed
Author_Institution :
Dept. of Electr. Eng., Alexandria Univ., Egypt
Abstract :
This paper presents a new formulation for sectionalizing device placement taking into consideration outages, maintenance and investment costs. The formulation of sectionalizing switches is a combinatorial constrained optimization problem with a non-linear, non-differentiable objective function. A solution methodology based on the optimization technique of genetic algorithm, GA is proposed to determine both the number of sectionalizing switches, and the locations of switches. A new form of GA is introduced and called as hierarchical genetic algorithm (HGA). HGA can offer a global optimal solution for the sectionalizing device placement problem. The proposed solution is a new structure of generation that guarantee an optimal solution for the output Test results have been presented to support the superiority of the proposed approach.
Keywords :
combinatorial mathematics; genetic algorithms; power distribution planning; switchgear; combinatorial constrained optimization; distribution system planning; global optimal solution; hierarchical genetic algorithm; investment costs; maintenance costs; nonlinear nondifferentiable objective function; optimal solution; sectionalizing device placement problem; sectionalizing switches location; switching devices; Constraint optimization; Convergence; Cost function; Genetic algorithms; Investments; Load management; Maintenance; Optimization methods; Switches; Testing;
Conference_Titel :
Electrotechnical Conference, 2002. MELECON 2002. 11th Mediterranean
Print_ISBN :
0-7803-7527-0
DOI :
10.1109/MELECON.2002.1014660