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Energies 2017, 10(4), 503; doi:10.3390/en10040503

Evaluation Method for Real-Time Dynamic Line Ratings Based on Line Current Variation Model for Representing Forecast Error of Intermittent Renewable Generation

1
Division of Electrical, Electronic and Information Engineering, Graduate School of Engineering, Osaka University, Suita 565-0871, Japan
2
Department of Electrical Engineering, Faculty of Engineering Division, Tokyo University of Science, Tokyo 125-8585, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Gabriele Grandi
Received: 7 February 2017 / Revised: 18 March 2017 / Accepted: 4 April 2017 / Published: 8 April 2017
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

Due the high penetration of intermittent renewable energy sources (IRESs), transmission line currents show large fluctuations and thus significant uncertainty. This makes it difficult to operate a power system without violating transmission capacity constraints. This paper evaluates the dynamic line ratings (DLRs) of overhead lines based on changes in the line current owing to the high penetration of intermittent renewable energy sources. In particular, by focusing on extremely large (but rare) forecasting errors in the intermittent renewable energy source output, which are generally inevitable in most forecasting methods, a model for representing the forecasting error in line with current variation due to intermittent renewable energy source output is developed. The model is based on a shape parameter that represents the equivalent current variation required for the same temperature increase as that due to the extremely large forecasting error. Finally, based on the annual minute-by-minute irradiance data, preventive control of the transmission network with dynamic line ratings is evaluated using worst-case parameter values. View Full-Text
Keywords: dynamic line ratings (DLRs); electro-thermal coordination; forecasting error; maximum allowable temperature limit; photovoltaic (PV) systems; renewable energy sources dynamic line ratings (DLRs); electro-thermal coordination; forecasting error; maximum allowable temperature limit; photovoltaic (PV) systems; renewable energy sources
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Sugihara, H.; Funaki, T.; Yamaguchi, N. Evaluation Method for Real-Time Dynamic Line Ratings Based on Line Current Variation Model for Representing Forecast Error of Intermittent Renewable Generation. Energies 2017, 10, 503.

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