activity
20112023
most citedShort term fluctuations of wind and solar power systems

284 citations · 604 across the 18 of their papers we have counts for

collaborators

19 papers

cond-mat.stat-mech2023★ 2 cited

Assessing the Suitability of the Langevin Equation for Analyzing Measured Data Through Downsampling

Pyei Phyo Lin, Matthias Wächter, Joachim Peinke +1

The measured time series from complex systems are renowned for their intricate stochastic behavior, characterized by random fluctuations stemming from external influences and nonli…

physics.data-an2023★ 1 cited

Extension of the Langevin power curve analysis by separation per operational state

Christian Wiedemann, Henrik M. Bette, Matthias Wächter +3

In the last few years, the dynamical characterization of the power output of a wind turbine by means of a Langevin equation has been well established. For this approach, temporally…

eess.SY2023★ 8 cited

Discontinuous Jump Behavior of the Energy Conversion in Wind Energy Systems

Pyei Phyo Lin, Matthias Waechter, M. Reza Rahimi Tabar +1

The power conversion process of a wind turbine can be characterized by a stochastic differential equation (SDE) of the power output conditioned to certain fixed wind speeds. An ana…

physics.flu-dyn2022★ 4 cited

Superstatistical wind fields from point-wise atmospheric turbulence measurements

Jan Friedrich, Daniela Moreno, Michael Sinhuber +2

Accurate models of turbulent wind fields have become increasingly important in the atmospheric sciences, e.g., for the determination of spatiotemporal correlations in wind parks, t…

physics.flu-dyn2021★ 34 cited

An open source MATLAB package to perform basic and advanced statistical analysis of turbulence data and other complex systems

André Fuchs, Swapnil Kharche, Matthias Wächter +1

We present a user-friendly open-source MATLAB\textsuperscript{\textregistered} package developed by the research group Turbulence, Wind energy and Stochastics (TWiSt) at the Carl v…

physics.flu-dyn2021★ 21 cited

Instantons and the path to intermittency in turbulent flows

André Fuchs, Corentin Herbert, Joran Rolland +3

Processes leading to anomalous fluctuations in turbulent flows, referred to as intermittency, are still challenging. We consider cascade trajectories through scales as realizations…

physics.data-an2016★ 284 cited

Short term fluctuations of wind and solar power systems

M. Anvari, G. Lohmann, M. Wächter +5

Wind and solar power are known to be highly influenced by weather events and may ramp up or down abruptly. Such events in the power production influence not only the availability o…

physics.data-an2016★ 47 cited

The Langevin Approach: An R Package for Modeling Markov Processes

Philip Rinn, Pedro G. Lind, Matthias Wächter +1

We describe an R package developed by the research group Turbulence, Wind energy and Stochastics (TWiSt) at the Carl von Ossietzky University of Oldenburg, which extracts the (stoc…

physics.data-an2015★ 12 cited

Langevin power curve analysis for numerical WEC models with new insights on high frequency power performance

Tanja A. Mücke, Matthias Wächter, Patrick Milan +1

Based on the Langevin equation it has been proposed to obtain power curves for wind turbines from high frequency data of wind speed measurements u(t) and power output P (t). The tw…

physics.data-an2015

Parameter-free resolution of the superposition of stochastic signals

Teresa Scholz, Frank Raischel, Vitor V. Lopes +4

This paper presents a direct method to obtain the deterministic and stochastic contribution of the sum of two independent sets of stochastic processes, one of which is composed by…

physics.data-an2015★ 32 cited

Stochastic modeling and performance monitoring of wind farm power production

Patrick Milan, Matthias Wächter, Joachim Peinke

We present a new stochastic approach to describe and remodel the conversion process of a wind farm at a sampling frequency of 1Hz. When conditioning on various wind direction secto…

physics.data-an2015★ 14 cited

Capturing rogue waves by multi-point statistics

Ali Hadjihosseini, Matthias Wächter, Norbert P. Hoffmann +1

As an example for complex systems with extreme events we investigate ocean wave states exhibiting rogue waves. We present a statistical method of data analysis based on multi-point…

physics.soc-ph2015★ 4 cited

Suppressing the non-Gaussian statistics of Renewable Power from Wind and Solar

M. Anvari, G. Lohmann, M. Reza Rahimi Tabar +5

The power from wind and solar exhibits a nonlinear flickering variability, which typically occurs at time scales of a few seconds. We show that high-frequency monitoring of such re…

physics.data-an2014

Fatigue Loads Estimation Through a Simple Stochastic Model

Pedro G. Lind, Matthias Wächter, Joachim Peinke

We propose a procedure to estimate the fatigue loads on wind turbines, based in a recent framework used for reconstructing data series of stochastic properties measured at wind tur…

physics.flu-dyn2014★ 55 cited

Towards a Simplified Dynamic Wake Model using POD Analysis

David Bastine, Björn Witha, Matthias Wächter +1

We apply the proper orthogonal decomposition (POD) to large eddy simulation data of a wind turbine wake in a turbulent atmospheric boundary layer. The turbine is modeled as an actu…

physics.data-an2014★ 3 cited

Reconstructing the intermittent dynamics of the torque in wind turbines

Pedro G. Lind, Matthias Wächter, Joachim Peinke

We apply a framework introduced in the late nineties to analyze load measurements in off-shore wind energy converters (WEC). The framework is borrowed from statistical physics and…

physics.flu-dyn2012★ 55 cited

Wind Energy and the Turbulent Nature of the Atmospheric Boundary Layer

Matthias Wächter, Hendrik Heißelmann, Michael Hölling +6

Wind turbines operate in the atmospheric boundary layer, where they are exposed to the turbulent atmospheric flows. As the response time of wind turbine is typically in the range o…

physics.data-an2012★ 15 cited

Stochastic method for in-situ damage analysis

Philip Rinn, Hendrik Heißelmann, Matthias Wächter +1

Based on the physics of stochastic processes we present a new approach for structural health monitoring. We show that the new method allows for an in-situ analysis of the elastic f…

physics.data-an2011★ 13 cited

Principal axes for stochastic dynamics

V. V. Vasconcelos, F. Raischel, M. Haase +4

We introduce a general procedure for directly ascertaining how many independent stochastic sources exist in a complex system modeled through a set of coupled Langevin equations of…