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Improving DTR assessment by means of PCA applied to wind data

handle: 11311/1080248 , 11571/1464783
Abstract Traditionally, the rating of an overhead transmission line is determined under a set of specified and standardized conditions. However, weather conditions along the line change during operation. Therefore, the standard rating of the line might be either underestimated, leading to inefficient utilization of the line, or overestimated, leading to unsecure operation. This is the major drawback of the traditional approach: the so-called dynamic thermal rating (DTR), that takes into account the actual operating conditions along the line to determine the rating, is today a critical need. In this paper, we develop a comprehensive methodology for exploring all necessary information about stochastic processes of environmental variables surrounding and along the line using available data. The results can be used as input to determine the actual rating of the considered transmission line to enhance the determination of the rating for transmission lines.
- Polytechnic University of Milan Italy
- University of Pavia Italy
- University of Da Nang Viet Nam
- University of Da Nang Viet Nam
330, Dynamic thermal rating, Energy Engineering and Power Technology, Principal component analysi, 620, Power system management, Transmission line, Electrical and Electronic Engineering, Dynamic thermal rating; Forecast technique; Power system management; Principal component analysis; Transmission line; Energy Engineering and Power Technology; Electrical and Electronic Engineering, Forecast technique
330, Dynamic thermal rating, Energy Engineering and Power Technology, Principal component analysi, 620, Power system management, Transmission line, Electrical and Electronic Engineering, Dynamic thermal rating; Forecast technique; Power system management; Principal component analysis; Transmission line; Energy Engineering and Power Technology; Electrical and Electronic Engineering, Forecast technique
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).27 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
