Multiobjective Short-Term Planning of Electric Power Distribution Systems Using NSGA-II

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....

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Bibliographic Details
Published in:Journal of control, automation & electrical systems Vol. 24; no. 3; pp. 286 - 299
Main Authors: Pereira Junior, Benvindo R., Cossi, Antonio M., Mantovani, José R. S.
Format: Journal Article
Language:English
Published: Boston Springer US 01.06.2013
Subjects:
Control
Control and Systems Theory
Electrical Engineering
Engineering
Mechatronics
Robotics
Robotics and Automation
Power distribution planning
Capacitor banks
Multiobjective genetic algorithm
Voltage regulators
ISSN:2195-3880, 2195-3899
Online Access:Get full text
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Summary: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.
ISSN:2195-3880
2195-3899
DOI:10.1007/s40313-013-0022-5