Distribution network planning using a constructive heuristic algorithm


Autoria(s): Lavorato, Marina; Rider, Marcos J.; Garcia, Ariovaldo V.; Romero, Rubén
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

27/05/2014

27/05/2014

01/12/2009

Resumo

An optimization technique to solve distribution network planning (DNP) problem is presented. This is a very complex mixed binary nonlinear programming problem. A constructive heuristic algorithm (CHA) aimed at obtaining an excellent quality solution for this problem is presented. In each step of the CHA, a sensitivity index is used to add a circuit or a substation to the distribution network. This sensitivity index is obtained solving the DNP problem considering the numbers of circuits and substations to be added as continuous variables (relaxed problem). The relaxed problem is a large and complex nonlinear programming and was solved through an efficient nonlinear optimization solver. A local improvement phase and a branching technique were implemented in the CHA. Results of two tests using a distribution network are presented in the paper in order to show the ability of the proposed algorithm. ©2009 IEEE.

Identificador

http://dx.doi.org/10.1109/PES.2009.5275860

2009 IEEE Power and Energy Society General Meeting, PES '09.

http://hdl.handle.net/11449/71297

10.1109/PES.2009.5275860

2-s2.0-77649316832

Idioma(s)

eng

Relação

2009 IEEE Power and Energy Society General Meeting, PES '09

Direitos

closedAccess

Palavras-Chave #AMPL #Constructive heuristic algorithm #Distribution network planning #KNITRO #Mixed binary nonlinear programming #Power systems optimization #Continuous variables #Distribution network #Nonlinear optimization solver #Nonlinear programming problem #Optimization techniques #Power systems #Relaxed problem #Sensitivity indices #Distributed parameter networks #Dynamic programming #Heuristic algorithms #Heuristic methods #Optimization #Spacecraft #Spin polarization #Nonlinear programming
Tipo

info:eu-repo/semantics/conferencePaper