A reactive tabu search for service restoration in electric power distribution systems

Author

Toune, Sakae ; Fudo, Hiroyuki ; Genji, Takamu ; Fukuyama, Yoshikazu ; Nakanishi, Yosuke

Author_Institution

Tech. Res. Center, Kansai Electr. Power Co. Inc., Hyogo, Japan

fYear

1998

fDate

4-9 May 1998

Firstpage

763

Lastpage

768

Abstract

This paper presents a reactive tabu search for service restoration in electric power distribution systems. Service restoration is an emergency control in distribution control centers to restore out-of-service area as soon as possible when a fault occurs in distribution systems. Therefore, it requires fast computation time and high quality solutions for customers´ satisfaction. The problem can be formulated as a combinatorial optimization problem to divide the out-of-service area to each power source. The effectiveness of the proposed method is demonstrated on typical service restoration problems. It is compared favorably with conventional tabu search, genetic algorithm, and parallel simulated annealing. The results reveal the speed and effectiveness of the proposed method for solving the problem

Keywords

combinatorial mathematics; genetic algorithms; power engineering computing; power system restoration; electric power distribution systems; emergency control; genetic algorithm; high quality solutions; out-of-service area; parallel simulated annealing; reactive tabu search; service restoration; Control systems; Customer satisfaction; Frequency; Genetic algorithms; Guidelines; NP-complete problem; Neural networks; Power industry; Power system restoration; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-4869-9

Type

conf

DOI

10.1109/ICEC.1998.700148

Filename

700148