World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
11384
World Ranking
4391
National Ranking
1559

Research.com Recognitions

  • 2010 - IEEE Fellow For contributions to alternative energy power generation

Overview

M.H. Nehrir is affiliated with Montana State University in the United States and specializes in engineering, with a focus on electrical and electronic engineering, control and systems engineering, and automotive engineering. Their research addresses various aspects of power systems, smart grid management, and energy optimization technologies.

The scientist has contributed to 24 publications in the field of engineering, with 16 of those focusing specifically on electrical and electronic engineering. Their work covers several critical subfields and topics including:

  • Power System Optimization and Stability
  • Smart Grid Energy Management
  • Microgrid Control and Optimization
  • Optimal Power Flow Distribution
  • Smart Grid Security and Resilience
  • Advanced Battery Technologies Research
  • Advanced Battery Materials and Technologies

Nehrir has collaborated frequently with several co-authors, including Sepideh Radhoush, Bradley M. Whitaker, Maryam Bahramipanah, Zagros Shahooei, and Trevor Vannoy.

The scientist has published multiple papers in various venues, with a record showing a preference for journals and conferences related to energy and power systems. Notable publication venues include:

  • Energies
  • IEEE Transactions on Smart Grid
  • Sustainability
  • 2022 North American Power Symposium (NAPS)
  • Applied Sciences

Selected recent publications include:

  • A Review of Modeling, Management, and Applications of Grid-Connected Li-Ion Battery Storage Systems, 2022, IEEE Transactions on Smart Grid
  • A Review on State Estimation Techniques in Active Distribution Networks: Existing Practices and Their Challenges, 2022, Sustainability
  • Distribution System State Estimation and False Data Injection Attack Detection with a Multi-Output Deep Neural Network, 2023, Energies
  • An Overview of Supervised Machine Learning Approaches for Applications in Active Distribution Networks, 2023, Energies
  • Simultaneous State Estimation and Bad Data Detection on PMU Measurements in Active Distribution Power Networks, 2022, 2022 North American Power Symposium (NAPS)

Nehrir's research involves developing and applying advanced techniques for grid and microgrid control, state estimation, energy storage systems, and security measures to enhance power system performance and resilience. The scientist has particular expertise in battery technologies and smart grid management.

In recognition of their contributions to alternative energy power generation, Nehrir was named an IEEE Fellow in 2010.

Best Publications

  • Analytical approaches for optimal placement of distributed generation sources in power systems

    Caisheng Wang;M.H. Nehrir

  • A Review of Hybrid Renewable/Alternative Energy Systems for Electric Power Generation: Configurations, Control, and Applications

    M. H. Nehrir;C. Wang;K. Strunz;H. Aki

  • Power Management of a Stand-Alone Wind/Photovoltaic/Fuel Cell Energy System

    Caisheng Wang;M.H. Nehrir

  • Dynamic models and model validation for PEM fuel cells using electrical circuits

    Caisheng Wang;M.H. Nehrir;S.R. Shaw

  • Generation unit sizing and cost analysis for stand-alone wind, photovoltaic, and hybrid wind/PV systems

    W.D. Kellogg;M.H. Nehrir;G. Venkataramanan;V. Gerez

  • Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems

    D.B. Nelson;M.H. Nehrir;C. Wang

  • A Hybrid Islanding Detection Technique Using Voltage Unbalance and Frequency Set Point

    V. Menon;M.H. Nehrir

  • Modeling and Control of Fuel Cells: Distributed Generation Applications

    M. Nehrir;Caisheng Wang

  • Comprehensive Real-Time Microgrid Power Management and Control With Distributed Agents

    C. M. Colson;M. H. Nehrir

  • A Physically Based Dynamic Model for Solid Oxide Fuel Cells

    Caisheng Wang;M.H. Nehrir

  • Control of PEM fuel cell distributed generation systems

    C. Wang;M.H. Nehrir;H. Gao

  • A review of challenges to real-time power management of microgrids

    C.M. Colson;M.H. Nehrir

  • An approach to evaluate the general performance of stand-alone wind/photovoltaic generating systems

    M.H. Nehrir;B.J. Lameres;G. Venkataramanan;V. Gerez

  • Optimal unit sizing for a hybrid wind/photovoltaic generating system

    W. Kellogg;M.H. Nehrir;G. Venkataramanan;V. Gerez

  • Modeling and Control of Fuel Cells

    M. H. Nehrir;C. Wang

  • Power Management of Aggregate Electric Water Heater Loads by Voltage Control

    M.H. Nehrir;Runmin Jia;D.A. Pierre;D.J. Hammerstrom

  • Unit sizing of stand-alone hybrid wind/PV/fuel cell power generation systems

    D.B. Nelson;M.H. Nehrir;C. Wang

  • An online adaptive neuro-fuzzy power system stabilizer for multimachine systems

    Ruhua You;H.J. Eghbali;M.H. Nehrir

  • Towards real-time microgrid power management using computational intelligence methods

    C.M. Colson;M.H. Nehrir;S. A. Pourmousavi

  • Algorithms for distributed decision-making for multi-agent microgrid power management

    C. M. Colson;M. H. Nehrir

  • A Review of Hybrid Renewable/Alternative Energy Systems for Electric Power Generation: Configurations, Control, and Applications Special Task Force of the IEEE PES Renewable Energy Technologies Subcommittee, Energy Development and Power Generation Committee

    M. H. Nehrir;C. Wang;K. Strunz;H. Aki

Frequent Co-Authors

Caisheng Wang
Caisheng Wang Wayne State University
Giri Venkataramanan
Giri Venkataramanan University of Wisconsin–Madison
Venkata Dinavahi
Venkata Dinavahi University of Alberta
Kai Strunz
Kai Strunz Technical University of Berlin
Xavier Guillaud
Xavier Guillaud University of Lille
Zhixin Miao
Zhixin Miao University of South Florida
Josep M. Guerrero
Josep M. Guerrero Universitat Politècnica de Catalunya
Mehdi Savaghebi
Mehdi Savaghebi Technical University of Denmark

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