Dynamic thermal state forecasting of distribution network components: For enhanced active distribution network capacity

Author

Degefa, Merkebu Z. ; Koivisto, Matti ; Millar, R.J. ; Lehtonen, Matti

Author_Institution

Dept. of Electr. Eng. & Autom., Aalto Univ., Espoo, Finland

fYear

2014

fDate

7-10 July 2014

Firstpage

1

Lastpage

6

Abstract

This paper proposes and investigates a framework for day-ahead hour-by-hour thermal state forecasting of distribution network components. The method takes into consideration the uncertainty brought about by distributed generation and load demand forecasting. Potential risks are evaluated so that contingency measures can be planned with a clear knowledge of tolerance to temporary overloading scenarios.

Keywords

distributed power generation; load forecasting; power distribution planning; thermal engineering; contingency measures; day-ahead hour-by-hour thermal state forecasting; distributed generation; distribution network components; dynamic thermal state forecasting; enhanced active distribution network capacity; load demand forecasting; potential risk evaluation; Load modeling; Power cables; Substations; Temperature measurement; Thermal loading; Wind forecasting; Wind speed; distributed generation; load forecasting; smart meter; state estimation; thermal model; thermal rating;

fLanguage

English

Publisher

ieee

Conference_Titel

Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on

Conference_Location

Durham

Type

conf

DOI

10.1109/PMAPS.2014.6960607

Filename

6960607