DOI QR코드

DOI QR Code

효율적인 전력선통신 라우팅 경로 탐색 기법

An Efficient Routing Path Search Technique in Power Line Communication

  • 투고 : 2018.06.08
  • 심사 : 2018.07.30
  • 발행 : 2018.09.01

초록

As field of application of AMI, AMR uses the power line as the primary means of communication. PLC has a big merit without installation of the new network for communication in a field using the power line which is the existing equipment. However, there is a serious obstacle in commercialization for the instability by noise and communication environment. Therefore, the technical method for maintaining the communication state which overcome such demerit and was stabilized is required essentially. PLC routing technology is applied with the alternative plan now. The routing technology currently managed by field includes many problems by applying the algorithm of an elementary level. PLC routing path search problem can be modeled with the problem of searching for optimal solution as similar to such as optimal routing problem and TSP(Travelling salesman problem). In this paper, in order to search for a PLC routing path efficiently and to choose the optimal path, GA(Genetic Algorithm) was applied. Although PLC was similar in optimal solution search as compared with typical GA, it also has a difference point by the characteristic of communication, and presented the new methodology over this. Moreover, the validity of application technology was verified by showing the experimental result to which GA is applied and analyzing as compared with the existing algorithm.

키워드

참고문헌

  1. Park. B.S, Hyun, D.H, Cho. S.K, "Implementation of AMR system using power line communication", Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES, Vol. 1, pp. 18-21, Oct. 2002.
  2. Seo. C.K, Jeong. S.M, Chung. D.J, "A Research on the Extraction and Interpretation of power line communication Noise Pattern Using Genetic Algorithm", Advanced Engineering Forum, Vol. 2-3, pp. 645-648, 2012.
  3. General Technical Specifications of KEPCO, "Data Concentration Unit for Low Voltage AMI system", KEPCO, GS-5895-0026, pp. 23-25, 101-102, Feb. 2011.
  4. ISO, Information technology-Telecommunications and information exchange between systems-power line communication (PLC)-High speed PLC medium access control (MAC) and physical layer (PHY), ISO/ IEC12139-1, 2009.
  5. Seo. C.K, "A study on the implementation of intelligent power distribution Geometric Information System Using Genetic Algorithm", Dept. Info. and Comm. Eng., Inha University, Aug. 2015.
  6. Moon. B.R, "Easy-to-learn genetic algorithm, An evolutionary approach", Hanbit Media, pp. 59-81, 2008.
  7. Kitano Hiroaki, "Basic Theory Engineering Applications of Genetic Algorithms and Artificial Life Genetic Algorithms", Daechung Information System, pp. 35-36, 1996.
  8. Jeong. S.W, Kim. H.S, Kim. D.S, Jeong. D.J, "Implementation of Adaptive Genetic Algorithm Processor for Evolvable Hardware", The Transactions of the Korean Institute of Electrical Engineers, Vol. 53, No. 4, 2004.
  9. General Technical Specifications of KEPCO, "Data Concentration Unit for Low Voltage AMI system", KEPCO, GS-5895-0026, pp. 171-175, Dec. 2017.
  10. Barry Shackleford et al., "A High-Performance Hardware Implementation of a Survival-Based Genetic Algorithm", ICONIP'97, pp. 686-691, Nov. 1997.
  11. N. Yoshida, T. Moriki and T. Yasuoka, "GAP: Genetic VLSI processor for genetic algorithm", Second International ICSC Symp. On Soft Computing, pp. 341-354, 1997.