Dynamic Rating Management of Overhead Transmission Lines Operating under Multiple Weather Conditions

Raquel Martinez, Mario Manana, Alberto Arroyo, Sergio Bustamante, Alberto Laso, Pablo Castro and Rafael Minguez
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Raquel Martinez: Department of Electrical and Energy Engineering, University of Cantabria, Av. Los Castros s/n., 39005 Santander, Spain
Mario Manana: Department of Electrical and Energy Engineering, University of Cantabria, Av. Los Castros s/n., 39005 Santander, Spain
Alberto Arroyo: Department of Electrical and Energy Engineering, University of Cantabria, Av. Los Castros s/n., 39005 Santander, Spain
Sergio Bustamante: Department of Electrical and Energy Engineering, University of Cantabria, Av. Los Castros s/n., 39005 Santander, Spain
Alberto Laso: Department of Electrical and Energy Engineering, University of Cantabria, Av. Los Castros s/n., 39005 Santander, Spain
Pablo Castro: Department of Electrical and Energy Engineering, University of Cantabria, Av. Los Castros s/n., 39005 Santander, Spain
Rafael Minguez: Viesgo Distribution, S.L. C/ Isabel Torres 25, (PCTCAN), 39011 Santander, Spain

Energies, 2021, vol. 14, issue 4, 1-21

Abstract: Integration of a large number of renewable systems produces line congestions, resulting in a problem for distribution companies, since the lines are not capable of transporting all the energy that is generated. Both environmental and economic constraints do not allow the building new lines to manage the energy from renewable sources, so the efforts have to focus on the existing facilities. Dynamic Rating Management (DRM) of power lines is one of the best options to achieve an increase in the capacity of the lines. The practical application of DRM, based on standards IEEE (Std.738, 2012) and CIGRE TB601 (Technical Brochure 601, 2014) , allows to find several deficiencies related to errors in estimations. These errors encourage the design of a procedure to obtain high accuracy ampacity values. In the case of this paper, two methodologies have been tested to reduce estimation errors. Both methodologies use the variation of the weather inputs. It is demonstrated that a reduction of the conductor temperature calculation error has been achieved and, consequently, a reduction of ampacity error.

Keywords: ampacity; conductor temperature; overhead transmission lines; weather parameters; real-time monitoring (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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