Unlimited point algorithm for OPF problems

Author

Tognola, Giorgio ; Bacher, Rainer

Author_Institution

Swiss Federal Inst. of Technol., Zurich, Switzerland

fYear

1997

fDate

11-16 May 1997

Firstpage

149

Lastpage

155

Abstract

A nonlinear optimal power flow (OPF) algorithm is presented which allows to solve the Karush-Kuhn-Tucker (KKT) optimality conditions using a pure Newton-Raphson solution procedure. The method is similar to interior point algorithms. However, due to a simple transformation, the variable space becomes unlimited (unlimited point) and variables do not need to be forced to stay within the feasible region during all OPF iterations as is the case for interior point algorithms. As a consequence only a pure Newton-Raphson iterative process to algebraically transformed KKT conditions is applied. The algorithm has been successfully applied to various networks up to size 700 buses with the active power loss objective function

Keywords

Newton-Raphson method; control system analysis; control system synthesis; load flow; load regulation; nonlinear control systems; optimal control; power system control; Karush-Kuhn-Tucker optimality conditions; Newton-Raphson iterative process; active power loss objective function; control design; interior point algorithms; nonlinear optimal power flow algorithm; power systems; unlimited point algorithm; Constraint optimization; Constraint theory; Hafnium; Iterative algorithms; Lagrangian functions; Load flow; Newton method; Nonlinear equations; Quadratic programming; Time factors;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Industry Computer Applications., 1997. 20th International Conference on

Conference_Location

Columbus, OH

Print_ISBN

0-7803-3713-1

Type

conf

DOI

10.1109/PICA.1997.599390

Filename

599390