Abstract

In the last 20 years, installed wind power capacity in North of Spain has grown from 24 to more than 1,650 MW. In this geographical region, wind energy farms are located in places that are far away from the transmission networks so they have to be integrated into distribution networks. Build new overhead lines dedicated for a distribution energy is not the best way to increase the evacuation energy of the wind farms because the cost is quite strong. So, the aim to solve these issues, is by means of an increase in the capacity of existing lines using the dynamic management of the network. This paper is devoted to show the difference of the conductor temperature between the parameter of solar radiation measured by a pyranometer and the use of the theoretical solar radiation which is explained in CIGRE TB601 [1] and IEEE Std. 738-2012 [2] algorithms.

Highlights

  • Distribution System Operator (DSO) uses dynamic techniques to manage the distribution network

  • This paper is devoted to show the difference of the conductor temperature between the parameter of solar radiation measured by a pyranometer and the use of the theoretical solar radiation which is explained in CIGRE TB601 [1] and IEEE Std. 738-2012 [2] algorithms

  • The results shows that CIGRE algorithm is better than IEEE algorithm using real measurement of pyranometer in WS1

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Summary

Introduction

Distribution System Operator (DSO) uses dynamic techniques to manage the distribution network. The data which make possible this management are obtained through the steady state heat balance equation. The steady state equation (1) can be used to calculate the maximum value of current under the real weather conditions at real-time. One of the most important parameter to be considered is solar radiation. IEEE Std. 738-2012 [2] considers the solar heat intensity at the Earth’s surface as a unique parameter to calculate solar radiation. The two different approaches to the estimation of the solar radiation are compared in this paper and, at the same time, it is analysed how they affect to the calculation of the temperature of the conductor and the dynamic ampacity. Two weather stations are considered, which no are so far one to the other, to see the differences and the data is compared in several days during the year considering winter and summer

Methodology
Results
First Comparison
Second Comparison
Third Comparison
Conclusions

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