A New Approach to Load Flow Solutions for Radial Distribution System

This paper presents a new approach to load flow solutions for radial distribution system, in which the choice of the switches to be opened is based on the calculation of voltage at the buses, real and reactive power flowing through lines, real power losses and voltage deviation, using distribution load flow (DLF) program. In the process of load flow calculation, two developed matrices bus injection to bus current (BIBC) and branch current to bus voltage (BCBV), and a simple matrix multiplication are used to obtain load flow solutions. The solution converges very early on; therefore execution time is very small. Particular attention is paid to the relationship between electrical parameters of the distribution system and the mathematical parameters that influence the convergence properties of the algorithm. The results reveal the speed and the effectiveness of the proposed method for solving the problems

[1]  S. K. Basu,et al.  A new algorithm for the reconfiguration of distribution feeders for loss minimization , 1992 .

[2]  A. G. Expósito,et al.  Reliable load flow technique for radial distribution networks , 1999 .

[3]  D. Shirmohammadi,et al.  A compensation-based power flow method for weakly meshed distribution and transmission networks , 1988 .

[4]  Karen Nan Miu,et al.  Multi-tier service restoration through network reconfiguration and capacitor control for large-scale radial distribution networks , 1999 .

[5]  D. Shirmohammadi,et al.  A three-phase power flow method for real-time distribution system analysis , 1995 .

[6]  Tsai-Hsiang Chen,et al.  Distribution system power flow analysis-a rigid approach , 1991 .

[7]  Hsiao-Dong Chiang,et al.  Fast decoupled power flow for unbalanced radial distribution systems , 1995 .

[8]  Nikos D. Hatziargyriou,et al.  Optimal operation of distribution networks , 1996 .

[9]  Tsai-Hsiang Chen,et al.  Optimal phase arrangement of distribution transformers connected to a primary feeder for system unbalance improvement and loss reduction using a genetic algorithm , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[10]  M. Salama,et al.  Distribution system reconfiguration for loss reduction: an algorithm based on network partitioning theory , 1995, Proceedings of Power Industry Computer Applications Conference.

[11]  J. Teng.  A direct approach for distribution system load flow solutions , 2003 .

[12]  Ruben Romero,et al.  Optimal Capacitor Placement in Radial Distribution Networks , 2001 .

[13]  Bala Venkatesh,et al.  Optimal reconfiguration of radial distribution systems to maximize loadability , 2004 .

[14]  M. Kitagawa,et al.  Implementation of genetic algorithm for distribution systems loss minimum re-configuration , 1992 .

[15]  J. Matsuki,et al.  Loss minimum configuration of distribution system considering N-1 security of dispersed generators , 2004, IEEE Transactions on Power Systems.

[16]  A. Augugliaro,et al.  Minimum Losses Reconfiguration of MV Distribution Networks through Local Control of Tie Switches , 2002, IEEE Power Engineering Review.

[17]  Felix F. Wu,et al.  Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing , 1989, IEEE Power Engineering Review.

[18]  Hoyong Kim,et al.  Artificial neural-network based feeder reconfiguration for loss reduction in distribution systems , 1993 .

[19]  Northwoods Pkwy.  Distribution Network Reconfiguration: Single Loop Optimization , 1996 .

[20]  Jin-Cheng Wang,et al.  An efficient algorithm for real-time network reconfiguration in large scale unbalanced distribution systems , 1995 .