Abstract
The grid integration of renewable energy, particularly in Spain, supposes an important problem to deal with for Distributor System Operators (DSO). Most of the times Wind Energy Farms are located in places that are far away from the transmission networks so they have to be integrated into distribution networks that are frequently operating close to their static rate. Current regulations make almost impossible to build new overhead lines so the increase of the capacity of the existing lines is a new target for the DSO. This paper is devoted to the analysis of a new methodology and monitoring system that have been developed to overcome the existing static rates by moving the operation point of the overhead lines close to their dynamic rate. This new rate is computed by using both the IEEE and CIGRÉ algorithms and a local weather forecast. The obtained results show that this approach can increase the capacity of the lines in a significant percentage.
Highlights
The increasing number of renewable generation facilities, especially those based on wind energy, greatly affects the operation of the distribution networks, making them more complex to operate
The need to increase the capacity of the overhead lines is a major issue in order to prevent contingencies and to achieve good grid integration avoiding generation restrictions
The aim of monitoring a line is to determine the real time ampacity by computing the maximum current that the line can carry depending on the weather conditions and the maximum conductor temperature
Summary
The increasing number of renewable generation facilities, especially those based on wind energy, greatly affects the operation of the distribution networks, making them more complex to operate. In this scenario, the need to increase the capacity of the overhead lines is a major issue in order to prevent contingencies and to achieve good grid integration avoiding generation restrictions. The aim of monitoring a line is to determine the real time ampacity by computing the maximum current that the line can carry depending on the weather conditions and the maximum conductor temperature. The key point in this approach is to get an accurate weather forecast that can be used in the ampacity prediction, so the operator can make a reliable planning in advance
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