Modeling of Short-Term Tidal Power Fluctuations

Jonsdottir, Guerun Margret; Milano, Federico

doi:10.1109/tste.2019.2954977

Cited by 12 publications

(8 citation statements)

References 19 publications

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“…In the Nordic Grid, and all of Europe, this is the nominal frequency of 50Hz. Many of the deterministic properties are studied directly from the time series themselves, by either studying their deterministic properties, i.e., as a dynamical system [42], or as a stochastic process [43], [44]. Yet, here we take another approach and focus on fluctuations of the time series -in particular their increments -and quantify their stochastic properties and correlations.…”

Section: B Increment Statisticsmentioning

confidence: 99%

“…What we observe here is a strong diffusion scaling of the fluctuations. It is particularly relevant to take this scaling into account when performing any from of simulations of the power-grid frequency and thus it should be incorporated accordingly [44]. Importantly, the observation of this correlated and non-white noise is ubiquitous and uniform across locations and evidenced from a data analysis, i.e., without imposing any model.…”

Section: Statistical Properties Of Incremental Time Seriesmentioning

confidence: 99%

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Phase and Amplitude Synchronization in Power-Grid Frequency Fluctuations in the Nordic Grid

et al. 2022

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Monitoring and modelling the power grid frequency is key to ensuring stability in the electrical power system. Many tools exist to investigate the detailed deterministic dynamics and especially the bulk behaviour of the frequency. However, far less attention has been paid to its stochastic properties, and there is a need for a cohesive framework that couples both short-time scale fluctuations and bulk behaviour. Moreover, commonly assumed uncorrelated stochastic noise is predominantly employed in modelling in energy systems. In this publication, we examine the stochastic properties of the Nordic Grid, focusing on the increments of the frequency recordings. We show that these increments follow non-Gaussian statistics and display spatial and temporal correlations. Furthermore, we report two different physical synchronisation phenomena: a very short timescale phase synchronisation (< 2 s) followed by a slightly larger timescale amplitude synchronisation (2 s-5 s). Overall, these results show that modelling of fluctuations in power systems should not be restricted to Gaussian white noise.INDEX TERMS Power-grid frequency, power-grid frequency fluctuations, phase synchronisation, amplitude synchronisation.

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Section: B Increment Statisticsmentioning

confidence: 99%

Section: Statistical Properties Of Incremental Time Seriesmentioning

confidence: 99%

Phase and Amplitude Synchronization in Power-Grid Frequency Fluctuations in the Nordic Grid

et al. 2022

View full text Add to dashboard Cite

show abstract

“…In the Nordic Grid, and all of Europe, this is the nominal frequency of 50 Hz. Many of the deterministic properties are studied directly from the time series themselves, by either studying their deterministic properties, i.e., as a dynamical system [39], or as a stochastic process [40,41]. Yet, here we take another approach and focus on fluctuations of the time series-in particular their increments-and quantify their stochastic properties and correlations.…”

Section: B Increment Statisticsmentioning

confidence: 99%

Phase and amplitude synchronisation in power-grid frequency fluctuations in the Nordic Grid

Gorjão¹,

Vanfretti²,

Witthaut³

et al. 2021

Preprint

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Monitoring and modelling the power grid frequency is key to ensuring stability in the electrical power system. Many tools exist to investigate the detailed deterministic dynamics and especially the bulk behaviour of the frequency. However, far less attention has been paid to its stochastic properties, and there is a need for a cohesive framework that couples both short-time scale fluctuations and bulk behaviour. Moreover, commonly assumed uncorrelated stochastic noise is predominantly employed in modelling in energy systems. In this publication, we examine the stochastic properties of six synchronous power-grid frequency recording with high-temporal resolution of the Nordic Grid from September 2013, focusing on the increments of the frequency recordings. We show that these increments follow non-Gaussian statistics and display spatial and temporal correlations. Furthermore, we report two different physical synchronisation phenomena: a very short timescale phase synchronisation (< 2 s) followed by a slightly larger timescale amplitude synchronisation (2 s-5 s). Overall, these results provide guidance on how to model fluctuations in power systems.

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“…However, even if the power harnessed by turbines is roughly predictable, this power is characterized by a high-temporal variability exhibited over semidiurnal and fortnightly time scales but also influenced by superimposed effects of metocean conditions including wind and waves (Section 4.1). Higher-frequency variations may furthermore appear in relation to wind, waves, or turbulence disturbances liable to result in unpredictable quick fluctuations with time-constant of about few seconds [60]. Considering the power supply requirements of an island, these variations are not reasonably acceptable.…”

Section: Hybrid Energy Systemsmentioning

confidence: 99%

The Tidal Stream Energy Resource of the Fromveur Strait—A Review

Guillou

Charpentier

Benbouzid

2020

JMSE

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Refined assessments of the available tidal stream energy resource are required to optimize turbines design and guarantee successful implementations and operations of devices in the marine environment. Investigations primary focused on identifying areas with maximum current speeds. However, further information may be reached by exhibiting (i) resource temporal variability, (ii) superimposed effects of meteo-oceanographic conditions (including especially wind-generated surface-gravity waves), and (iii) potential environmental impacts of operating turbines at the regional (e.g., changes in sediment transport and surrounding seabed features, effects on marine water quality, etc.) and local (wake-wake interactions and energy output) scales. These aspects are here investigated by reviewing a series of research studies dedicated to the Fromveur Strait off western Brittany, a region with strong potential for tidal array development along the coast of France. Particular attention is dedicated to the exploitation of combined in-situ and remote-sensing observations and numerical simulations. Beyond a site specific characterization of the tidal stream energy resource, this review promotes a series of original approaches and analysis methods for turbines optimization, thus complementing technical specifications to secure the key steps of a tidal energy project and promote the growth of a reliable tidal stream energy exploitation.

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Modeling of Short-Term Tidal Power Fluctuations

Cited by 12 publications

References 19 publications

Phase and Amplitude Synchronization in Power-Grid Frequency Fluctuations in the Nordic Grid

Phase and Amplitude Synchronization in Power-Grid Frequency Fluctuations in the Nordic Grid

Phase and amplitude synchronisation in power-grid frequency fluctuations in the Nordic Grid

The Tidal Stream Energy Resource of the Fromveur Strait—A Review

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