This paper proposes an improvement of an efficient multiobjective optimization algorithm, Non-dominated Sorting Genetic Algorithm II, NSGA-II, that has been here applied to solve the problem of optimal capacitors placement in distribution systems. The studied improvement involves the Crowded Comparison Operator and modifies it in order to handle several constraints. The problem of optimal location and sizing of capacitor banks for losses reduction and voltage profile flattening in medium voltage (MV) automated distribution systems is a difficult combinatorial constrained optimization problem which is deeply studied in literature. In this paper, the efficiency of the proposed Crowded Comparison Operator, CCO1, is compared to the efficiency of another Crowded Comparison Operator, CCO2, whose definition derives from the constraint-domination principle proposed by Deb et al. The two operators are tested on difficult test problems as well as on the optimal capacitors placement problem.

Ippolito, M., Favuzza, S., RIVA SANSEVERINO, E. (2006). Crowded comparison operators for constraints handling in NSGA-II for optimal design of the compensation system in electrical distribution networks. ADVANCED ENGINEERING INFORMATICS, (20) issue2(20), 201-211 [10.1016/j.aei.2005.10.001].

Crowded comparison operators for constraints handling in NSGA-II for optimal design of the compensation system in electrical distribution networks

IPPOLITO, Mariano Giuseppe;FAVUZZA, Salvatore;RIVA SANSEVERINO, Eleonora
2006-01-01

Abstract

This paper proposes an improvement of an efficient multiobjective optimization algorithm, Non-dominated Sorting Genetic Algorithm II, NSGA-II, that has been here applied to solve the problem of optimal capacitors placement in distribution systems. The studied improvement involves the Crowded Comparison Operator and modifies it in order to handle several constraints. The problem of optimal location and sizing of capacitor banks for losses reduction and voltage profile flattening in medium voltage (MV) automated distribution systems is a difficult combinatorial constrained optimization problem which is deeply studied in literature. In this paper, the efficiency of the proposed Crowded Comparison Operator, CCO1, is compared to the efficiency of another Crowded Comparison Operator, CCO2, whose definition derives from the constraint-domination principle proposed by Deb et al. The two operators are tested on difficult test problems as well as on the optimal capacitors placement problem.
2006
Settore ING-IND/33 - Sistemi Elettrici Per L'Energia
Ippolito, M., Favuzza, S., RIVA SANSEVERINO, E. (2006). Crowded comparison operators for constraints handling in NSGA-II for optimal design of the compensation system in electrical distribution networks. ADVANCED ENGINEERING INFORMATICS, (20) issue2(20), 201-211 [10.1016/j.aei.2005.10.001].
File in questo prodotto:
File Dimensione Formato  
pubblicato.pdf

Solo gestori archvio

Descrizione: Articolo pubblicato
Dimensione 669.92 kB
Formato Adobe PDF
669.92 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/32279
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 25
  • ???jsp.display-item.citation.isi??? 20
social impact