대한전기학회논문지:전력기술부문A (The Transactions of the Korean Institute of Electrical Engineers A)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

배전계통 최적 재구성 문제에 PC 클러스터 시스템을 이용한 병렬 유전 알고리즘-타부 탐색법 구현

Parallel Genetic Algorithm-Tabu Search Using PC Cluster System for Optimal Reconfiguration of Distribution Systems

  • 발행 : 2004.10.01
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초록

This paper presents an application of parallel Genetic Algorithm-Tabu Search(GA-TS) algorithm to search an optimal solution of a reconfiguration in distribution system. The aim of the reconfiguration of distribution systems is to determine switch position to be opened for loss minimization in the radial distribution systems, which is a discrete optimization problem. This problem has many constraints and very difficult to solve the optimal switch position because it has many local minima. This paper develops parallel GA-TS algorithm for reconfiguration of distribution systems. In parallel GA-TS, GA operators are executed for each processor. To prevent solution of low fitness from appearing in the next generation, strings below the average fitness are saved in the tabu list. If best fitness of the GA is not changed for several generations, TS operators are executed for the upper 10% of the population to enhance the local searching capabilities. With migration operation, best string of each node is transferred to the neighboring node aster predetermined iterations are executed. For parallel computing, we developed a PC-cluster system consisting of 8 PCs. Each PC employs the 2 GHz Pentium Ⅳ CPU and is connected with others through ethernet switch based fast ethernet. To show the usefulness of the proposed method, developed algorithm has been tested and compared on a distribution systems in the reference paper. From the simulation results, we can find that the proposed algorithm is efficient and robust for the reconfiguration of distribution system in terms of the solution qualify. speedup. efficiency and computation time.

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참고문헌

  1. D. Shirmohammadi and H. W. Hong, 'Reconfiguration of electric Distribution networks for resistive losses reduction,' IEEE Trans. on Power Delivery, Vol. 4, No. 2, pp. 1492-1498, April 1989 https://doi.org/10.1109/61.25637
  2. Mesut E. Baran, and Felix F. Wu, 'Network Reconfiguration In Distribution Systems for Loss Reduction And Load Balancing', IEEE Trans. on Power Delivery, Vol. 4, No.2, pp. 1401-1407, April 1989 https://doi.org/10.1109/61.25627
  3. Taylor T. and D. Lubkeman, 'Implementation of Heur istic Search Strategies for Distribution Feeder Reconfiguration,' IEEE Trans. on Power Delivery, Vol. 5, No. 2, pp. 239-246, January 1990 https://doi.org/10.1109/61.107279
  4. Gunther Brauner and Manfred Zabel, 'Knowledge based planning of Distribution networks,' IEEE Trans. on Power Systems, Vol. 9, No. 2, pp. 942-948, May 1994 https://doi.org/10.1109/59.317652
  5. Young-Jae Jeon, Jae-Chul Kim, Jin-O Kim, Joong-Rin Shin, Kwang Y. Lee, 'An Efficient Simulated Annealing Algorithm for Network Reconfiguration in Large-Scale Distribution Systems,' IEEE Trans. on Power Delivery, Vol, 17, No. 4, pp. 1070-1078, Oct. 2002 https://doi.org/10.1109/TPWRD.2002.803823
  6. K. Nara, A. Shiose, M. Kitagawa, and T.Tshihara, 'Implementation of genetic algori thm for distribution system loss minimum reconfiguration,' IEEE Trans. on Power Systems, Vol. 7, No. 3, pp. 1044-1051, August 1992 https://doi.org/10.1109/59.207317
  7. K. Nara, Y. Mishima, A. Gojyo, T. Ito and H. Kaneda, 'Loss minimum reconfiguration of distribution system by tabu search,' Proc. of IEEE PES T& D Conference and Exhibition 2002 Asia Pacific, Vol. 1, pp. 232-236, Oct. 2002
  8. H. Mori and K. Takeda, 'Parallel simulated annealing for power system decomposition', IEEE Proc. of PICA 93, Scottsdale, Arizona, pp. 366-372, May 1993
  9. R. Tanese, 'Parallei genetic algorithm for a hypercube,' Proc. of 2th ICGA '87, pp. 177-183, 1987
  10. J.-Y. Choi, J.-R. Shin and M.-H. Kim, 'Parallel computing environment based on windows operating system,' 한국항공우주학회지, May 2002
  11. Chung. S. H., Ryu K. R., O S. C. and Park S. H., 'Parallel processing system for high speed information retrieval,' Parallel Processing System Newsletters, vol. 7, No. 2, pp. 3-19, 1996