Title :
Dynamic optimal reactive power flow
Author :
Sharif, S. Salamat ; Taylor, James H.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Brunswick Univ., Fredericton, NB, Canada
Abstract :
An efficient method for minimization of energy loss over time is presented. The proposed method uses different loading conditions during a given future time interval instead of one single snapshot of the network. The method finds the optimal conditions during the given interval. The given interval is divided into several shorter periods. By increasing the number of periods or load profiles, the dimension of the problem will rise substantially. This problem is handled by using the generalized Bender decomposition (GBD) technique. With this technique, the loading condition for each period are solved in a separate NLP subproblem. The results of the NLP subproblems are coordinated in a master problem. As shown in simulation results, the proposed method not only improves the voltage profile, but it also decreases the total energy loss over the given interval
Keywords :
minimisation; nonlinear programming; optimal control; reactive power control; NLP subproblem; dynamic optimal reactive power flow; energy loss; generalized Bender decomposition; load profiles; loading condition; loading conditions; voltage profile; Capacitors; Energy loss; Load flow; Load forecasting; Minimization methods; Power engineering computing; Power generation; Reactive power; Time sharing computer systems; Voltage control;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703223