VAr planning using genetic algorithm and linear programming

Author

Mantovani, J.R.S. ; Modesto, S.A.G. ; Garcia, A.V.

Author_Institution

Dept. of Electr. Eng., Sao Paulo Univ., Brazil

Volume

148

Issue

3

fYear

2001

fDate

5/1/2001 12:00:00 AM

Firstpage

257

Lastpage

262

Abstract

A combined methodology consisting of successive linear programming (SLP) and a simple genetic algorithm (SGA) solves the reactive planning problem. The problem is divided into operating and planning subproblems; the operating subproblem, which is a nonlinear, ill-conditioned and nonconvex problem, consists of determining the voltage control and the adjustment of reactive sources. The planning subproblem consists of obtaining the optimal reactive source expansion considering operational, economical and physical characteristics of the system. SLP solves the optimal reactive dispatch problem related to real variables, while SGA is used to determine the necessary adjustments of both the binary and discrete variables existing in the modelling problem. Once the set of candidate busbars has been defined, the program implemented gives the location and size of the reactive sources needed, if any, to maintain the operating and security constraints

Keywords

genetic algorithms; linear programming; power system control; power system planning; reactive power; voltage control; VAr planning; binary variables; busbars; discrete variables; genetic algorithm; linear programming; nonlinear ill-conditioned nonconvex problem; operating constraints; operating subproblem; optimal reactive source expansion; reactive planning; reactive sources; reactive sources adjustment; security constraints; successive linear programming; voltage control;

fLanguage

English

Journal_Title

Generation, Transmission and Distribution, IEE Proceedings-

Publisher

iet

ISSN

1350-2360

Type

jour

DOI

10.1049/ip-gtd:20010214

Filename

926426