Application of reactive tabu search for service restoration in distribution systems and its comparison with the genetic algorithm and parallel simulated annealing

Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)

Volumn 133, Issue 3, 2000, Pages 71-82

  Fudo, Hiroyuki ^a   Toune, Sakae ^a   Genji, Takamu ^a   Fukuyama, Yoshikazu ^a   Nakanishi, Yosuke ^a  

^a KANSAI ELECTRIC POWER CO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; ELECTRIC LOAD DISTRIBUTION; ELECTRIC LOAD FORECASTING; GENETIC ALGORITHMS; HEURISTIC METHODS; MATHEMATICAL MODELS; OPTIMIZATION; PARALLEL ALGORITHMS; PROBLEM SOLVING; REACTIVE POWER; SIMULATED ANNEALING; STATISTICAL METHODS;

REACTIVE TABU SEARCH (RTS) METHODS;

ELECTRIC POWER SYSTEMS;

EID: 0034325184     PISSN: 04247760     EISSN: None     Source Type: Journal    
DOI: 10.1002/1520-6416(20001130)133:3<71::AID-EEJ9>3.0.CO;2-G     Document Type: Article

References (27)

1. Aoki et al. Load switching schemes during fault taking into account voltage drop constraint. Documents of the Power Engineering Study Group of the IEE Japan, PE-86-68, 1986.
2. Aoki K et al. Normal state optimal load allocation in distribution systems. IEEE PES Winter Meeting, 1986.
3. Aoki et al. Fast solution of load switching procedures during fault in distribution systems. Nat Conf IEE Japan, No. 1002, 1988.
4. Azuma et al. A calculation algorithm for service restoration in distribution systems. Natl Conf IEE Japan, No. 1003, 1988.
5. Matsumoto et al. An expert system for service restoration in distribution systems. Natl Conf IEE Japan, No. 989, 1989.
6. Aoki et al. Priority constrained emergency service restoration algorithm for distribution systems. Trans IEE Jpn 1990;110-B:710.
7. Fukui et al. Application of Hopfield-type neural network to switch planning problem of power distribution system. Trans IEE Jpn 1991;110-D:10.
8. Imamura et al. Fuzzy inference application to planning of distribution network switching. Trans IEE Jpn 1993;113-B:493-498.
9. Reeves CR. Modern heuristic techniques for combinatorial problems. Blackwell Scientific; 1993.
10. Nara, Satoh. Mathematical techniques of system engineering. Corona Publishing; 1995.
11. Goldberg DE. Genetic algorithms in search, optimization, and machine learning. Addison-Wesley; 1989.
12. Kirkpatrick S et al. Optimization by simulated annealing. Science 1983;220:671-680.
13. Glover F. Tabu search part I. ORSA J Comput Summer 1989;1.
14. Glover F. Tabu search part II. ORSA J Comput Winter 1990;2.
15. Fukuyama et al. An application of genetic algorithms to service restoration in distribution systems. Trans IEE Jpn 1994;114-B:361-366.
16. Fukuyama et al. Application of parallel genetic algorithm for service restoration in distribution systems. Documents of the Power Engineering Study Group of the IEE Japan, PE-95-155, 1995.
17. Fudo et al. Application of meta-heuristic technique to service restoration in distribution systems. Intelligent System Symposium of the Japan Society of Mechanical Engineers, No. 230, 1996.
18. Nara, Hayashi. Application of tabu search to tie-route determination problem of newly-installed distribution lines. Documents of the Power Engineering Study Group of the IEE Japan, PE-95-65, 1995.
19. Mori, Hayashi. Application of tabu search considering parallelism of neighborhood partition and tabu list to voltage and reactive power control problem. Documents of the Power Engineering Study Group of the IEE Japan, PE-97-73, 1997.
20. Yoshikawai et al. Development of operation stoppage adjustment support system using tabu search. Documents of the Power Engineering Study Group of the IEE Japan, PE-96-90, 1996.
21. Battiti R. Reactive search: Toward self-turning heuristics. Modern heuristic search methods. John Wiley & Sons; 1996.
22. Battiti R. The reactive tabu search. ORSA J Comput 1994;6:126-140.
23. Mon H et al. Control of harmonic voltage distortion with parallel simulated annealing. Proc Application of Neural Networks to Power Systems (ANNPS), Yokohama, 1993.
24. Fukuyama Y et al. A hybrid system for service restoration using expert system and genetic algorithm. Proc ISAP'96, 1995.
25. Nara K et al. Implementation of genetic algorithm for distribution systems loss minimum re-configuration. IEEE Trans on Power Systems 1992;7(3).
26. Egawa et al. Distribution line automatic operation system of Kansai Electric Power Co. Fuji Jiho 1993;66(2).
27. Fudo et al. Study on distribution system loss minimization techniques. Documents of the Power Engineering Study Group of the IEE Japan, PE-96-63, 1996.