Increasing the Utilization of Transmission Lines Capacity by Quasi-Dynamic Thermal Ratings

Fan Song, Yanling Wang, Hongbo Yan, Xiaofeng Zhou and Zhiqiang Niu
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Fan Song: School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, China
Yanling Wang: School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, China
Hongbo Yan: School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, China
Xiaofeng Zhou: Department of Mechanical-Electrical Engineering, Weihai Vocational College, Weihai 264210, China
Zhiqiang Niu: State Grid Weihai Power Supply Company, Weihai 264200, China

Energies, 2019, vol. 12, issue 5, 1-13

Abstract: The power grid is under pressure to maintain a reliable supply because of constrained budgets and environmental policies. In order to effectively make use of existing transmission lines, it is important to accurately evaluate the line capacity. Dynamic thermal rating (DTR) offers a way to increase the utilization of capacity under real-time meteorological data. However, DTR relies on a number of sensors and the cost is high. Therefore, a method of improving the utilization of capacity by quasi-dynamic thermal rating (QDR) is proposed in this paper. QDR at different confidence levels and time scales is determined through the statistical analysis of line ampacity driven by key parameters, and the key parameters is identified by control variate method. In addition, the operation risk and tension loss is evaluated. The results show that QDR can increase the utilization of line capacity and in the absence of along-line measuring devices, QDR is more accurate, reliable and cost-saving. The managers can determine the appropriate confidence level according to the operation risk and tension loss that the system can bear, and shorten the time scale with the permission of the operation and control complexity.

Keywords: transmission line; key parameter; quasi-dynamic thermal rating (QDR); operation risk; tension loss; time scale; confidence level (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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