LAPSE:2019.0809
Published Article
LAPSE:2019.0809
Power Transmission Congestion Management Based on Quasi-Dynamic Thermal Rating
Yanling Wang, Zidan Sun, Zhijie Yan, Likai Liang, Fan Song, Zhiqiang Niu
July 28, 2019
Transmission congestion not only increases the operation risk, but also reduces the operation efficiency of power systems. Applying a quasi-dynamic thermal rating (QDR) to the transmission congestion alarm system can effectively alleviate transmission congestion. In this paper, according to the heat balance equation under the IEEE standard, a calculation method of QDR is proposed based on the threshold of meteorological parameters under 95% confidence level, which is determined by statistical analysis of seven-year meteorological data in Weihai, China. The QDR of transmission lines is calculated at different time scales. A transmission congestion management model based on QDR is established, and the transmission congestion alarm system including conductor temperature judgment is proposed. The case shows that transmission congestion management based on QDR is feasible, which improves the service life and operation flexibility of the power grid in emergencies and avoids power supply shortages caused by unnecessary trip protection.
Keywords
meteorological parameter, quasi-dynamic thermal rating (QDR), transmission congestion, transmission line
Suggested Citation
Wang Y, Sun Z, Yan Z, Liang L, Song F, Niu Z. Power Transmission Congestion Management Based on Quasi-Dynamic Thermal Rating. (2019). LAPSE:2019.0809
Author Affiliations
Wang Y: School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, China
Sun Z: School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, China [ORCID]
Yan Z: China Telecom, Nanjing 210000, China
Liang L: School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, China
Song F: School of Mechanical, Electrical and Information Engineering, Shandong University (Weihai), Weihai 264209, China [ORCID]
Niu Z: State Grid Weihai Power Supply Company, Weihai 264200, China
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Journal Name
Processes
Volume
7
Issue
5
Article Number
E244
Year
2019
Publication Date
2019-04-26
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7050244, Publication Type: Journal Article
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LAPSE:2019.0809
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doi:10.3390/pr7050244
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Jul 28, 2019
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Jul 28, 2019
 
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Original Submitter
Calvin Tsay
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