Genetic algorithm based real-time rating for short-time thermal capacity of duct installed power cables

Manabu Sakata, Shinichi Iwamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Recently, Japanese utilities have promoted research to use existing equipment more effectively. Until now, Neher's equations have been used to calculate the short-time thermal capacity of power cables. However, in order to use existing power cables more effectively, detailed calculations which consider time-varying thermal resistance and capacitance of the surrounding soil are necessary. For duct-installed power cables, duct temperatures can be measured by newly developed optical fiber temperature sensors. In this paper we propose a method to calculate the short-time thermal capacity of duct-installed power cables. The proposed algorithm is based on the estimation of the thermal resistance and capacitance of the surrounding soil using continuously measured duct temperatures. In this algorithm, Genetic Algorithm is employed to estimate these resistance and capacitance accurately. The effectiveness of the proposed algorithm is demonstrated using the experiment data. It is shown that applying the proposed method improves the short-time thermal capacity of duct-installed power cables considerably.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Intelligent Systems Applications to Power Systems, ISAP
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages85-90
Number of pages6
Publication statusPublished - 1996
Externally publishedYes
EventProceedings of the 1996 International Conference on Intelligent Systems Applications to Power Systems - Orlando, FL, USA
Duration: 1996 Jan 281996 Feb 2

Other

OtherProceedings of the 1996 International Conference on Intelligent Systems Applications to Power Systems
CityOrlando, FL, USA
Period96/1/2896/2/2

ASJC Scopus subject areas

  • Computer Science(all)
  • Energy(all)
  • Engineering(all)

Fingerprint Dive into the research topics of 'Genetic algorithm based real-time rating for short-time thermal capacity of duct installed power cables'. Together they form a unique fingerprint.

  • Cite this

    Sakata, M., & Iwamoto, S. (1996). Genetic algorithm based real-time rating for short-time thermal capacity of duct installed power cables. In Proceedings of the International Conference on Intelligent Systems Applications to Power Systems, ISAP (pp. 85-90). IEEE.