optimal power flow; interior-point method; nonlinear programming
Abstract :
[en] This paper deals with the solution of an optimal power flow (OPF)
problem by the interior point method (IPM). The latter is a very
appealing approach to this nonlinear programming problem due to its
speed of convergence and ease of handling inequality constraints. Two
interior point algorithms are presented and compared: the pure primal-dual
and the predictor-corrector. Several implementation aspects of these IPM
algorithms are also discussed. The OPF is formulated in rectangular
coordinates which confers some significant advantages because generally
its objective and constraints are quadratic functions. Among the large
variety of OPF objectives, emphasis is put on two classical ones: the
minimization of generation cost and the minimization of transmission
active power losses. The solution obtained by both algorithms proves
to be robust for the two OPF sub-problems (optimization of active power
flows and reactive power flows) as well as for a full OPF applied to the
former objective, which is unanimously recognized as the hardest problem
to solve. Finally, numerical results on three test systems ranging from
60 to 300 buses are provided.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Capitanescu, Florin ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
