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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Veröffentlicht in:Journal of control, automation & electrical systems Jg. 24; H. 3; S. 286 - 299
Hauptverfasser: Pereira Junior, Benvindo R., Cossi, Antonio M., Mantovani, José R. S.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Boston Springer US 01.06.2013
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ISSN:2195-3880, 2195-3899
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Abstract 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.
AbstractList 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.
Author Cossi, Antonio M.
Pereira Junior, Benvindo R.
Mantovani, José R. S.
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  surname: Mantovani
  fullname: Mantovani, José R. S.
  organization: Electrical Engineering Department, São Paulo State University—UNESP
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Keywords Power distribution planning
Capacitor banks
Multiobjective genetic algorithm
Voltage regulators
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  start-page: 735
  year: 2002
  ident: 22_CR2
  publication-title: IEEE Transactions on Power Delivery 1989
  doi: 10.1109/61.19266
– volume: 21
  start-page: 294
  year: 2010
  ident: 22_CR30
  publication-title: SBA Controle & Automação
  doi: 10.1590/S0103-17592010000300007
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Snippet This paper presents a mixed integer nonlinear programming multiobjective model for short-term planning of distribution networks that considers in an integrated...
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springer
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SubjectTerms Control
Control and Systems Theory
Electrical Engineering
Engineering
Mechatronics
Robotics
Robotics and Automation
Title Multiobjective Short-Term Planning of Electric Power Distribution Systems Using NSGA-II
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