World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
6449
World Ranking
5487
National Ranking
1882

Research.com Recognitions

  • 2010 - IEEE Fellow For contributions to algorithms for characterizing power-system small-signal stability properties

Overview

Daniel J. Trudnowski is affiliated with Montana Tech of the University of Montana in the United States. Their research primarily focuses on engineering with specific expertise in electrical and electronic engineering, control and systems engineering, and related subfields.

The main topics of their work include:

  • Power System Optimization and Stability
  • Power Systems Fault Detection
  • HVDC Systems and Fault Protection
  • Microgrid Control and Optimization
  • Optimal Power Flow Distribution
  • Smart Grid Security and Resilience
  • Frequency Control in Power Systems

The scientist has authored several papers across notable publication venues. Some of the recent papers are:

  • Multi-Loop Transient Stability Control via Power Modulation From Energy Storage Devices, 2021, IEEE Transactions on Power Systems
  • Real Power Modulation Strategies for Transient Stability Control, 2022, IEEE Access
  • A Strategy for Forced Oscillation Suppression, 2020, IEEE Transactions on Power Systems
  • Impacts of swinging door lossy compression of synchrophasor data, 2020, International Journal of Electrical Power & Energy Systems
  • Feedback Control Strategy for Transient Stability Application, 2022, Energies

Frequent coauthors working with Daniel J. Trudnowski include:

  • Ryan Elliott
  • G.J. Rogers
  • Felipe Wilches-Bernal
  • Denis Osipov
  • Joe H. Chow

Publication venues where the scientist has multiple contributions are:

  • IEEE Transactions on Power Systems
  • IEEE Access
  • International Journal of Electrical Power & Energy Systems
  • Energies
  • 2022 IEEE Power & Energy Society General Meeting (PESGM)

In addition to journal articles, they have contributed to book publications, including a forthcoming work titled Power System Oscillations published by Springer Nature, expected in 2025.

Daniel J. Trudnowski's research is grounded in developing advanced methods for power system stability and control, including transient stability, oscillation suppression, and power modulation strategies. Their work also extends into data compression techniques for synchrophasor measurements.

Recognition for their contributions includes the IEEE Fellow award received in 2010 for work on algorithms characterizing power-system small-signal stability properties.

Best Publications

  • Making Prony analysis more accurate using multiple signals

    D.J. Trudnowski;J.M. Johnson;J.F. Hauer

  • Initial results in electromechanical mode identification from ambient data

    J.W. Pierre;D.J. Trudnowski;M.K. Donnelly

  • Use of ARMA block processing for estimating stationary low-frequency electromechanical modes of power systems

    R. W. Wies;J. W. Pierre;D. J. Trudnowski

  • Performance of three mode-meter block-processing algorithms for automated dynamic stability assessment

    D. Trudnowski;J. Pierre;Ning Zhou;J. Hauer

  • Fixed-speed wind-generator and wind-park modeling for transient stability studies

    D.J. Trudnowski;A. Gentile;J.M. Khan;E.M. Petritz

  • Electromechanical Mode Online Estimation Using Regularized Robust RLS Methods

    Ning Zhou;D.J. Trudnowski;J.W. Pierre;W.A. Mittelstadt

  • Impacts of the distributed utility on transmission system stability

    M.K. Donnelly;J.E. Dagle;D.J. Trudnowski;G.J. Rogers

  • An application of Prony methods in PSS design for multimachine systems

    D.J. Trudnowski;J.R. Smith;T.A. Short;D.A. Pierre

  • Robust RLS Methods for Online Estimation of Power System Electromechanical Modes

    Ning Zhou;J.W. Pierre;D.J. Trudnowski;R.T. Guttromson

  • Estimating Electromechanical Mode Shape From Synchrophasor Measurements

    D.J. Trudnowski

  • Transfer function identification in power system applications

    J.R. Smith;F. Fatehi;C.S. Woods;J.F. Hauer

  • A Perspective on WAMS Analysis Tools for Tracking of Oscillatory Dynamics

    A.J.F. Hauer;D.J. Trudnowski;J.G. DeSteese

  • Identification of Electromechanical Modes in Power Systems

    Juan Sanchez-Gasca;Daniel Trudnowski;Emilio Barocio;John Hauer

  • Use of the WECC WAMS in Wide-Area Probing Tests for Validation of System Performance and Modeling

    J.F. Hauer;W.A. Mittelstadt;K.E. Martin;J.W. Burns

  • A stepwise regression method for estimating dominant electromechanical modes

    Ning Zhou;J. Pierre;D. Trudnowski

  • PDCI damping control analysis for the western North American power system

    Daniel Trudnowski;Dmitry Kosterev;John Undrill

  • Keeping an eye on power system dynamics

    Unknown

  • Mode shape estimation algorithms under ambient conditions: A comparative review

    Luke Dosiek;Ning Zhou;John W. Pierre;Zhenyu Huang

  • Application of ambient analysis techniques for the estimation of electromechanical oscillations from measured PMU data in four different power systems

    Luigi Vanfretti;Luke Dosiek;John W. Pierre;Daniel Trudnowski

  • Overview of algorithms for estimating swing modes from measured responses

    D. J. Trudnowski;J. W. Pierre

  • Use of least mean squares (LMS) adaptive filtering technique for estimating low-frequency electromechanical modes in power systems

    R.W. Wies;J.W. Pierre;D.J. Trudnowski

  • Probing Signal Design for Power System Identification

    John W Pierre;Ning Zhou;Francis K Tuffner;John F Hauer

Frequent Co-Authors

Zhenyu Huang
Zhenyu Huang Pacific Northwest National Laboratory
Joe H. Chow
Joe H. Chow Rensselaer Polytechnic Institute
Bikash C. Pal
Bikash C. Pal Imperial College London
Kjetil Uhlen
Kjetil Uhlen Norwegian University of Science and Technology
Innocent Kamwa
Innocent Kamwa Université Laval
Jacob Østergaard
Jacob Østergaard Technical University of Denmark
Claudio A. Canizares
Claudio A. Canizares University of Waterloo
Vijay Vittal
Vijay Vittal Arizona State University

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