Multiobjective short-term planning of electric power distribution systems using NSGA-II
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Springer Nature
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This paper presents a mixed integer nonlinear programming multiobjective model for short-term planning of distribution networks that considers in an integrated manner the following planning activities: allocation of capacitor banks; voltage regulators; the cable replacement of branches and feeders. The objective functions considered in the proposed model are: to minimize operational and investment costs and minimize the voltage deviations in the the network buses, subject to a set of technical and operational constraints. A multiobjective genetic algorithm based on a Non-Dominated Sorting Genetic Algorithm (NSGA-II) is proposed to solve this model. The proposed mathematical model and solution methodology is validated testing a medium voltage distribution system with 135 buses. © 2013 Brazilian Society for Automatics - SBA.
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Capacitor banks , Multiobjective genetic algorithm , Power distribution planning , Voltage regulators , Capacitor bank , Electric power distribution systems , Medium-voltage distribution systems , Mixed-integer nonlinear programming , Multi-objective genetic algorithm , Non-dominated sorting genetic algorithms , Operational constraints , Capacitors , Electric load distribution , Genetic algorithms , Mathematical models , Electric power distribution
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Inglês
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Journal of Control, Automation and Electrical Systems, v. 24, n. 3, p. 286-299, 2013.
