DocumentCode :
765827
Title :
An efficient algorithm for real-time network reconfiguration in large scale unbalanced distribution systems
Author :
Wang, Jin-Cheng ; Chiang, Hsiao-Dong ; Darling, Gary R.
Author_Institution :
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
Volume :
11
Issue :
1
fYear :
1996
fDate :
2/1/1996 12:00:00 AM
Firstpage :
511
Lastpage :
517
Abstract :
Real-time applications demand fast computation, this paper proposes an efficient algorithm for real-time network reconfiguration on large unbalanced distribution networks. A novel formulation of the network reconfiguration to achieve loss minimization and load balancing is given. To reduce computational requirements for the solution algorithm, well justified power flow and loss reduction formulas in terms of the on/off status of network switches are proposed for efficient system updating. The algorithm relies only on a few full power flow studies based on system states attained by explicit expressions using backward-forward sweeps for efficient computation of the system´s states at the critical system operating points. The solution algorithm runs in an amount of time linearly proportional to the number of the switches and the number of sectionalizing switches in the system. The solution algorithm has been implemented into a software package and tested on unbalanced distribution systems including a system with 292-buses, 76-laterals, 7 transformers, 45 switches and 255 line sections under diverse system conditions
Keywords :
distribution networks; load flow; losses; power system analysis computing; power system control; real-time systems; transmission network calculations; algorithm; backward-forward sweeps; critical system operating points; large scale unbalanced distribution systems; load balancing; loss minimization; loss reduction formulas; network switches; nonlinear integer programming; on/off status; power flow; real-time network reconfiguration; software package; Computer applications; Computer networks; Distributed computing; Load flow; Load flow analysis; Load management; Software algorithms; Software packages; Software testing; Switches;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.486141
Filename :
486141
Link To Document :
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