DOI QR코드

DOI QR Code

가공송전선의 송전용량을 증가시키기 위한 동적송전용량 시스템의 설계

A Design for Dynamic Line Rating System to increase Overhead Transmission Line Capacities

  • 김성덕 (한밭대학교 전기전자제어공학부)
  • 투고 : 2011.05.03
  • 심사 : 2011.05.31
  • 발행 : 2011.07.31

초록

Dynamic Line Rating (DLR) techniques have been greatly worthy of notice for efficiently increasing transmission capacity as well as controlling load-flow in overhead transmission lines, in comparison with the existing power system operating with Static Line Rating (SLR). This paper describes an utilization method to implement DLR control system for old transmission lines built in the first stage using the ground clearance design standard with lower dips. The suggested DLR system is focused on designing as temperature control system rather than current/load control system. Based on several performance for conductor temperatures, it is shown that DLR system with efficiency can be implemented.

키워드

참고문헌

  1. 가공송전선의 지상고 설계기준, DS 1020, KEPCO, 2003.
  2. 가공선 이도 설계기준, DS 1211, KEPCO, 2004.
  3. IEEE Standard for Calculating the Current-Temperature of Bare Overhead Conductors, IEEE Std 738-2006.
  4. D.A. Douglass and A.A Edris, "Real-time monitoring and dynamic thermal rating of power transmission circuits", IEEE Trans. on Power Delivery, Vol. 11, No. 3, pp. 1407-1418, 1996. https://doi.org/10.1109/61.517499
  5. L. Ren, J. Xiuchen and S. Gehao, "DLR Research for dynamic increasing transmission capacity", 2008 International Conference on Condition Monitoring and Diagnosis, Beijing China, 2008. https://doi.org/10.1109/CMD.2008.4580386
  6. A.A. Rahim, and I.Z. Abidin, "Verification of conductor temperature and time to thermal-overload calculations by experiments", ICEE 2009. 3rd International Conference on Energy and Environment, pp. 324-329, 2009. https://doi.org/10.1109/ICEENVIRON.2009.5398625
  7. 김성덕, 송홍관, 장태인, "2회선 가공송전선의 단시간정격에 관한 평가 방법", 한국조명전기설비학회, 논문집 제21권, 제7호, pp. 20-28, 2007. https://doi.org/10.5207/JIEIE.2007.21.7.020

피인용 문헌

  1. Dynamic Line Rating Prediction in Overhead Transmission Lines Using Artificial Neural Network vol.28, pp.1, 2014, https://doi.org/10.5207/JIEIE.2014.28.1.079