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.

Highlights

  • The integration of renewable energies into existing power lines has become a major difficulty to power distribution companies

  • Procedures to calculate ampacity are divided by accuracy: use of deterministic meteorological conditions [1], use of probabilistic meteorological conditions [2], and real time monitoring [3,4,5]

  • Dynamic Rating Management (DRM) of power lines is one of the best options to achieve an increase in the capacity of the lines [6]

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Summary

Introduction

The integration of renewable energies into existing power lines has become a major difficulty to power distribution companies. The installation of a large number of renewable systems produces line congestions, resulting in a problem for distribution companies, since lines are not capable to transport all the energy generated. It results in a problem for generation companies, since they will be requested to limit production. Increasing the capacity of overhead lines is an important research issue due to the great expansion of the renewable installations Both environmental and economic constraints do not allow the construction of new lines to manage the energy from renewable sources, so the efforts have to focus on the existing facilities. Procedures to calculate ampacity are divided by accuracy: use of deterministic meteorological conditions [1], use of probabilistic meteorological conditions [2], and real time monitoring (meteorological conditions, conductor temperature, line current, sag, and tilt) [3,4,5]

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