Extended compact genetic algorithm applied for optimum allocation of power quality monitors in transmission systems

Author

Branco, H.M.G.C. ; Silva, R. P M da ; Oleskovicz, M. ; Coury, D.V. ; Delbem, A.C.B.

Author_Institution

Escola de Eng. de Sao Carlos, Univ. de Sao Paulo, São Carlos, Brazil

fYear

2011

Firstpage

1

Lastpage

6

Abstract

This work presents a methodology for solving optimum allocation of power quality monitors in transmission power systems. The problem is modeled as a multi-objective problem to acquire the lowest cost solution with the highest data redundancy. The appropriate constraints are deduced by the electrical circuit topology independent of the load parameters. Extended compact genetic algorithm is used to solve the formulated problem. The proposed methodology is applied to different IEEE test systems for validation, showing the advantages of this new methodology.

Keywords

genetic algorithms; power supply quality; power transmission economics; redundancy; IEEE test system; cost solution; data redundancy; electrical circuit topology; extended compact genetic algorithm; load parameter; multiobjective problem; optimum allocation; power quality monitor; transmission power system; Genetic algorithms; Mathematical model; Monitoring; Observability; Redundancy; Resource management; Transmission line matrix methods; combinatorial optimization; extended compact genetic algorithm; multi-objective problem; optimum allocation; power quality monitoring; transmission;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting, 2011 IEEE

Conference_Location

San Diego, CA

ISSN

1944-9925

Print_ISBN

978-1-4577-1000-1

Electronic_ISBN

1944-9925

Type

conf

DOI

10.1109/PES.2011.6039680

Filename

6039680