Original scientific paper
Advanced prevention against icing on high voltage power lines
B. NEMETH
V. LOVRENČIĆ
M. ARC
A. IVEC
M. KOVAČ
N. GUBELJAK
G. GOCSEI
U. KRISPER
Abstract
Historical meteorological data indicates, that our weather is becoming more and more extreme. For the
electrical utility operators (Distribution System Operators - DSOs and Transmission System Operators -
TSOs), these changes arise in new operation challenges that need to be addressed. For example, frequent icing
phenomenon affects all the components of the power line by a significant mechanical overload: it endangers
the conductors, the insulators and the towers, as well. The result is often fatal and beside serious failures, it
effects on operators’ decisions. These not only endanger the reliability of electrical grids by the loss of a power
line for weeks or even months, but in general, the safety in the surroundings of the power line. As technology
advances, we will be able to collected, analyses and predict very large databases in the field of meteorology
and electrical engineering. The ability of processing mentioned data, combined with know-how results in the
capacity to operate power lines at their thermal limits during different ambient parameters. This technology
called Dynamic Line Rating (DLR) – is not only a great way to increase the transmission capacity of a given
line, but can also be effectively used to prevent, or even solve icing-related issues. Higher currents result in
higher Joule-heats, that consequently heat the conductors. If limits can be reached or approached, icing can be
prevented. If prevention is not possible, detection and removal of ice layer is necessary. The proper handling
of this icing issues, requires advanced algorithms (expert systems) and reliable measuring equipment. The
combination and synchronization between algorithms, weather service and measuring equipment is the key of
the successful operation. An EU H2020 financed project called FLEXITRANSTORE has just been launched
to develop a cross-country co-operation, with objective to improve anti-icing and de-icing solutions. To
establish and analyse different solutions, the project includes several universities, TSOs and DSOs. To solve
mentioned icing issues Budapest University of Technology and Economics’ (BME) developed an advanced
neural-network based algorithm which use OTLM system. It is planned to install and demonstrate the
capabilities of this new technology on the DSOs grid (Electro Ljubljana - ELJ). Besides the introduction of
DLR and icing, this paper also focuses on the preparation/organisation of co-operation between different
companies and universities.
Keywords
icing; de-icing; dynamic line rating; Flexitranstore; BME; C&G; OTLM; ELJ
Hrčak ID:
213493
URI
Publication date:
1.8.2018.
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