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Dive into the research topics where Miren T. Bedialauneta is active.

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Featured researches published by Miren T. Bedialauneta.


ieee powertech conference | 2011

Overhead conductor monitoring system for the evaluation of the low sag behavior

I. Albizu; E. Fernandez; A.J. Mazon; Miren T. Bedialauneta; K. J. Sagastabeitia

The paper describes a monitoring system for the evaluation of the low sag behavior of the overhead conductors in operating lines. The monitoring system measures the conductor tension and temperature and it also measures the wind speed to evaluate the load in the conductor due to wind. This system includes a methodology for the analysis of the measured data and the comparison of these data with the theoretical values obtained by mechanical calculation.


ieee grenoble conference | 2013

Factors that affect the sag-tension model of an overhead conductor

Miren T. Bedialauneta; E. Fernandez; I. Albizu; A.J. Mazon; K. J. Sagastabeitia

The sag-tension model of an overhead conductor in operation is analyzed. A monitoring system measures the conductor tension and temperature. With the measured data obtained in a pilot installation and considering the theoretical values obtained by calculation, the factors that affect the sag-tension model of an overhead conductor are analyzed.


international conference on clean electrical power | 2015

Overhead line rating forecasting for the integration of wind power in electricity markets

I. Albizu; E. Fernandez; A.J. Mazon; K. J. Sagastabeitia; Miren T. Bedialauneta; J. G. Olazarri

Wind power has a significant impact on the operation of electricity markets in areas with high penetration of wind power. As the electricity market is planned some hours in advance, it is necessary to forecast the wind power. Besides, wind power forecasting techniques can be adapted for the overhead line rating forecasting. This can be useful for defining advanced strategies for grid operation and improve the wind power integration. This paper analyzes the similarities and differences between the wind power forecasting and the overhead line rating forecasting. Some overhead line rating forecasting experiences are described and the preliminary results of a pilot project are shown.


ieee powertech conference | 2017

Wind speed forecasting in overhead lines for system operation

Rafael Alberdi; E. Fernandez; I. Albizu; A. Javier Mazon; Miren T. Bedialauneta; Koldo J. Sagastabeitia

Wind power has a significant impact on the operation of power grids. As the operation is planned some hours in advance, it is necessary to forecast the wind power. Besides, wind power forecasting techniques can be adapted for the overhead line rating forecasting. This can be useful for defining advanced strategies for grid operation and improve the power integration. This paper describes several works carried out in the forecasting of the wind speed for the overhead line rating. Some of the methods used for the forecasting are implemented in a pilot line and the results are analyzed.


Renewable & Sustainable Energy Reviews | 2016

Review of dynamic line rating systems for wind power integration

E. Fernandez; I. Albizu; Miren T. Bedialauneta; A.J. Mazon; P.T. Leite


IEEE Power and Energy Society Conference and Exposition in Africa: Intelligent Grid Integration of Renewable Energy Resources (PowerAfrica) | 2012

Dynamic line rating systems for wind power integration

E. Fernandez; I. Albizu; Miren T. Bedialauneta; A.J. Mazon; P.T. Leite


IET Conference on Reliability of Transmission and Distribution Networks (RTDN 2011) | 2011

Tension-temperature behaviour of an overhead conductor in operation

I. Albizu; A.J. Mazon; E. Fernandez; Miren T. Bedialauneta


International Journal of Electrical Power & Energy Systems | 2019

Field validation of gap-type overhead conductor creep

E. Fernandez; I. Albizu; Miren T. Bedialauneta; A. Javier Mazon; A. Etxegarai


IEEE Transactions on Power Delivery | 2018

Adaptive Static Line Rating for Systems with HTLS Conductors

I. Albizu; E. Fernandez; Rafael Alberdi; Miren T. Bedialauneta; A. Javier Mazon


ieee pes powerafrica | 2016

Statistical methods and weather prediction for ampacity forecasting in smart grids

Rafael Alberdi; E. Fernandez; I. Albizu; V. Valverde; Miren T. Bedialauneta; Koldobika J. Sagastabeitia

Collaboration


Dive into the Miren T. Bedialauneta's collaboration.

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E. Fernandez

University of the Basque Country

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I. Albizu

University of the Basque Country

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A.J. Mazon

University of the Basque Country

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A. Javier Mazon

University of the Basque Country

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K. J. Sagastabeitia

University of the Basque Country

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Rafael Alberdi

University of the Basque Country

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V. Valverde

University of the Basque Country

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P.T. Leite

Universidade Federal do ABC

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A. Etxegarai

University of the Basque Country

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G. Buigues

University of the Basque Country

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