Title :
A novel optimization algorithm solving network reconfiguration
Author :
De Bonis, Antonio ; Catalao, Joao P. S. ; Mazza, Andrea ; Chicco, Gianfranco ; Torelli, Francesco
Author_Institution :
INESC-ID, Univ. Beira Interior, Covilha, Portugal
Abstract :
This paper presents a new way to formulate and solve the distribution system optimal reconfiguration problem. The system equations representing the network topology, power flow equation and objective function equation are transformed into an artificial dynamic model formulated by using only differential equations, on the basis of an error function defined into a Lyapunov space domain. Possible inequality constraints are handled by using additional slack variables to transform them into equality constraints. The solution of the optimal reconfiguration problem is obtained at the convergence of the artificial dynamics and is based on dynamic optimal power flow formulation. Starting from a time domain continuous problem, a mixed continuous integer solution in Lyapunov space domain is obtained. The results obtained on a test system are shown and discussed.
Keywords :
Lyapunov matrix equations; differential equations; distribution networks; integer programming; load flow; Lyapunov space domain; artificial dynamic model; differential equations; distribution system optimal reconfiguration problem; dynamic optimal power flow formulation; equality constraints; error function; inequality constraints; mixed continuous integer solution; network reconfiguration; network topology; novel optimization algorithm; objective function equation; slack variables; system equations; time domain continuous problem; Equations; Linear programming; Load flow; Mathematical model; Optimization; Power system dynamics; Vectors; Distribution system; Lyapunov space; artificial dynamic system; optimization; radial configurations; reconfiguration;
Conference_Titel :
Power Systems Computation Conference (PSCC), 2014
Conference_Location :
Wroclaw
DOI :
10.1109/PSCC.2014.7038421