Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe

Böttcher, Philipp; Gorjão, Leonardo Rydin; Beck, Christian; Jumar, Richard; Maaß, H.; Hagenmeyer, Veit; Witthaut, Dirk; Schäfer, Benjamin

doi:10.1039/d2ya00150k

Cited by 6 publications

(2 citation statements)

References 29 publications

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“…In many situations, we will not have access to years or months of data, due to a large variety of potential reasons: Measurement time is limited, large parts of the data are corrupted, the specific grid is very new, either because the grid is newly built or major changes were made, such as the expansion of a synchronous area [45] or a change in regulations. Regardless of what limits the access to data, we need to understand how well the WNN predicts the frequency with shorter periods of training data available.…”

Section: Performance Of the Wnn Predictormentioning

confidence: 99%

Predicting the power grid frequency of European islands

Lund

Nygård²,

Gomila³

et al. 2023

J. Phys. Complex.

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Modelling, forecasting and overall understanding of the dynamics of the power grid and its frequency is essential for the safe operation of existing and future power grids. Much previous research was focused on large continental areas, while small systems, such as islands are less well-studied. These natural island systems are ideal testing environments for microgrid proposals and artificially islanded grid operation. In the present paper, we utilize measurements of the power grid frequency obtained in European islands: the Faroe Islands, Ireland, the Balearic Islands and Iceland and investigate how their frequency can be predicted, compared to the Nordic power system, acting as a reference. The Balearic islands are found to be particularly deterministic and easy to predict in contrast to hard-to-predict Iceland. Furthermore, we show that typically 2-4 weeks of data are needed to improve prediction performance beyond simple benchmarks.

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Section: Performance Of the Wnn Predictormentioning

confidence: 99%

Predicting the power grid frequency of European islands

Lund

Nygård²,

Gomila³

et al. 2023

J. Phys. Complex.

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“…The paper aim is to analyse the ways of increasing the reliability of electricity supply to consumers and the effectiveness of restoring electricity supply by operators of distribution systems, by developing a structure of means of identifying emergency conditions in distribution electric networks of IPS of Ukraine [14].…”

Section: Introductionmentioning

confidence: 99%

Line electrical transmission damage identification tool in distributors electrical networks

Zaitsev,

Blinov,

Bereznychenko

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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In the paper showing that one of the main way for Ukraine electric power industry evolution is electric power networks and systems improvement and construction considering Smart Grid concept. The main idea of Smart grid is the reliable, energy-efficient and high-quality energy supply system. To implement the idea, it is necessary to create a high-performance information and computing infrastructure. The main components of Smart Grid is emergency mode diagnostics and damage monitoring. Providing fault diagnostics and fault monitoring can improve the power supply reliability and quality to consumers. So, the task of quickly and accurately determining the place of damage is important. In the article showing that emergency detection tools in sections of both cable and overhead electrical networks it’s a way to improve efficiency of the networks. The diagram of the placement of damage indicators on the section of the electrical distribution network is presented, which allows determining the direction of the search for the location of the damage. A comparative analysis of measuring current transformers of optical and electromagnetic type was carried out. It is shown that a significant number of advantages of optical measuring current transformers, which can be used in damage indicators, can be provided by measuring current transformers of the electromagnetic type. Creating fault indicator based on the Smart Grid concept lets do to reduce searching time for the cause and location of an emergency situation to a minimum. In this concept application fault indicator in energy grid ensure it connection to operating overhead and cable lines without removing voltage by connecting the output of the secondary winding of the measuring current transformer of the detachable design to the measuring converters directly placed near the current measuring transformers with the help of a mechanical spring fastener. A block diagram of a specialized information-measuring system with a damage indicator was created, taking into account the requirements of the Smart Grid concept, which allows to reduce the time of searching for the cause to a minimum.

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Multivariate scenario generation of day-ahead electricity prices using normalizing flows

Hilger,

Witthaut,

Dahmen

et al. 2024

Applied Energy

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Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe

Abstract: When Russia invaded Ukraine on the 24th of February 2022, this led to many acts of solidarity with Ukraine, including support for its electricity system. Just 20 days after the...

Cited by 6 publications

References 29 publications

Predicting the power grid frequency of European islands

Predicting the power grid frequency of European islands

Line electrical transmission damage identification tool in distributors electrical networks

Multivariate scenario generation of day-ahead electricity prices using normalizing flows

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