A grey‐based approach for distribution network reconfiguration

Abstract This work presents a new concept for selecting restoration plans in power distribution systems using the Grey Relational Analysis (GRA) and the Analytical Hierarchy Process (AHP) approach. The GRA is used to analyze the preference ranking of each restoration plan, and the AHP is adopted to deal with assessing the weighting values of each objective function in a rational way. The proposed decision analysis framework can be applied to assist distribution system operators to make right decisions during a power system restoration process. The effectiveness of the proposed method is demonstrated through a numerical example. The test results show that the proposed method can rank each restoration plan in a quantitative way and obtain a preferable restoration plan correctly.

[1]  H. Sasaki,et al.  A multi-agent approach to power system restoration , 2000, PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409).

[2]  Y. Fukuyama Reactive tabu search for distribution load transfer operation , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[3]  Y.-T. Hsiao,et al.  Enhancement of restoration service in distribution systems using a combination fuzzy-GA method , 2000 .

[4]  Hiroyuki Mori,et al.  A parallel tabu search based approach to optimal network reconfigurations for service restoration in distribution systems , 2002, Proceedings of the International Conference on Control Applications.

[5]  Deng Ju-Long,et al.  Control problems of grey systems , 1982 .

[6]  Ching-Chang Wong,et al.  Fuzzy tracking method with a switching grey prediction for mobile robot , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

[7]  Patrick T. Harker,et al.  The Analytic Hierarchy Process , 1989 .

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

[9]  M. M. Adibi,et al.  An Expert System Operational Aid for Restoration and Loss Reduction of Distribution Systems , 2000 .

[10]  Y.-Y. Hsu,et al.  A heuristic based fuzzy reasoning approach for distribution system service restoration , 1994 .

[11]  C. S. Chen,et al.  A Rule-Based Expert System with Colored Petri Net Models for Distribution System Service Restoration , 2002, IEEE Power Engineering Review.

[12]  Seung-Jae Lee,et al.  Service restoration of primary distribution systems based on fuzzy evaluation of multi-criteria , 1998 .

[13]  T. Satoh,et al.  A New Algorithm for Service Restoration in Distribution Systems , 1989, IEEE Power Engineering Review.

[14]  Y.-Y. Hsu,et al.  Distribution system service restoration using a heuristic search approach , 1991 .

[15]  H. Sasaki,et al.  Power system restoration by joint usage of expert system and mathematical programming approach , 1995 .

[16]  J. Deng,et al.  Introduction to Grey system theory , 1989 .

[17]  Chen-Ching Liu,et al.  A Petri net algorithm for scheduling of generic restoration actions , 1997 .