Optimal reactive power planning using two-stage stochastic chance-constrained programming

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, Sao Paulo, Brazil

fYear

2013

fDate

16-20 June 2013

Firstpage

1

Lastpage

6

Abstract

In this paper, the optimal reactive power planning considering uncertainty is presented. The classical deterministic mixed-integer nonlinear model is expanded into two-stage stochastic model with chance-constraint. This new model considers uncertainty on the demand and the equivalent availability of the reactive power sources. The concepts of expected value of perfect information (EVPI) and the value of the stochastic solution (VSS) are also studied. Finally the proposed model is applied to IEEE 30-bus test system to determine optimal amount and location for reactive power expansion.

Keywords

IEEE standards; integer programming; power system planning; stochastic programming; EVPI; IEEE 30-bus test system; VSS; deterministic mixed-integer nonlinear model; expected value of perfect information; optimal reactive power planning; reactive power expansion; reactive power sources; two-stage stochastic chance-constrained programming; value of the stochastic solution; Indexes; Mathematical model; Planning; Programming; Reactive power; Stochastic processes; Uncertainty; Chance-constraint; optimal reactive power planning; stochastic programming; uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech (POWERTECH), 2013 IEEE Grenoble

Conference_Location

Grenoble

Type

conf

DOI

10.1109/PTC.2013.6652087

Filename

6652087