Optimal reactive power planning using risk analysis

Author

Lopez, J.C. ; Mantovani, Jose Roberto S. ; Contreras Sanz, Javier ; Munoz, Jose I.

Author_Institution

Dept. of Electr. Eng., Sao Paulo State Univ. - UNESP, Ilha Solteira, Brazil

fYear

2013

fDate

21-25 July 2013

Firstpage

1

Lastpage

5

Abstract

In this paper, the optimal reactive power planning problem under risk is presented. The classical mixed-integer nonlinear model for reactive power planning is expanded into two stage stochastic model considering risk. This new model considers uncertainty on the demand load. The risk is quantified by a factor introduced into the objective function and is identified as the variance of the random variables. Finally numerical results illustrate the performance of the proposed model, that is applied to IEEE 30-bus test system to determine optimal amount and location for reactive power expansion.

Keywords

IEEE standards; integer programming; nonlinear programming; power system planning; reactive power; risk analysis; IEEE 30-bus test system; demand load; mixed-integer nonlinear model; objective function; optimal amount; optimal reactive power planning problem; random variables; reactive power expansion; risk analysis; two stage stochastic model; Indexes; Linear programming; Numerical models; Planning; Reactive power; Standards; Stochastic processes; Mean-variance; reactive power planning; stochastic programming; two - stage; uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting (PES), 2013 IEEE

Conference_Location

Vancouver, BC

ISSN

1944-9925

Type

conf

DOI

10.1109/PESMG.2013.6672114

Filename

6672114