A fuzzy multiobjective approach for network reconfiguration of distribution systems

This paper presents an algorithm for network reconfiguration based on the heuristic rules and fuzzy multiobjective approach. Multiple objectives are considered for load balancing among the feeders and also to minimize the real power loss, deviation of nodes voltage, and branch current constraint violation, while subject to a radial network structure in which all loads must be energized. These four objectives are modeled with fuzzy sets to evaluate their imprecise nature and one can provide his or her anticipated value of each objective. Heuristic rules are also incorporated in the algorithm for minimizing the number of tie-switch operations. The effectiveness of the proposed method is demonstrated through an example.

[1]  H. Zimmermann Fuzzy programming and linear programming with several objective functions , 1978 .

[2]  S. S. Venkata,et al.  An expert system operational aid for restoration and loss reduction of distribution systems , 1988 .

[3]  J. J. Grainger,et al.  Distribution feeder reconfiguration for loss reduction , 1988 .

[4]  D. Shirmohammadi,et al.  Reconfiguration of electric distribution networks for resistive line losses reduction , 1989 .

[5]  S. J. Lee,et al.  Loss minimization of distribution feeders , 1989 .

[6]  Chen-Ching Liu,et al.  Loss Minimization of Distribution Feeders: Optimality and Algorithms , 1989, IEEE Power Engineering Review.

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

[8]  T. Taylor,et al.  Implementation of heuristic search strategies for distribution feeder reconfiguration , 1990 .

[9]  Hsiao-Dong Chiang,et al.  Optimal network reconfigurations in distribution systems. II. Solution algorithms and numerical results , 1990 .

[10]  H. Chiang,et al.  Optimal network reconfigurations in distribution systems. I. A new formulation and a solution methodology , 1990 .

[11]  A. Y. Chikhani,et al.  Feeder reconfiguration for loss reduction: an application of distribution automation , 1991 .

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

[13]  Hoyong Kim,et al.  Network reconfiguration algorithm for automated distribution systems based on artificial intelligence approach , 1993 .

[14]  Chuin-Shan Chen,et al.  Energy loss reduction by critical switches , 1993 .

[15]  D. Rajicic,et al.  Improved method for loss minimization in distribution networks , 1995 .

[16]  R. Taleski,et al.  Distribution network reconfiguration for energy loss reduction , 1997 .

[17]  Nikola Rajaković,et al.  Application assessments of distribution network minimum loss reconfiguration , 1997 .

[18]  W.-H.E. Liu,et al.  Distribution feeder reconfiguration for operation cost reduction , 1997 .

[19]  Whei-Min Lin,et al.  A new approach for distribution feeder reconfiguration for loss reduction and service restoration , 1998 .

[20]  D. Das,et al.  Method for load-flow solution of radial distribution networks , 1999 .

[21]  M. M. Adibi,et al.  Distribution Feeder Reconfiguration for Service Restoration and Load Balancing , 2000 .

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

[23]  J. R. Shin,et al.  An efficient simulated annealing algorithm for network reconfiguration in large-scale distribution systems , 2002 .

[24]  T. Khoa Feeder Reconfiguration for loss reduction using Heuristics techniques , 2005 .