World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
69
Citations
19330
World Ranking
959
National Ranking
403

Research.com Recognitions

  • 2018 - Member of the National Academy of Engineering For advancement of theory, practice, and education in electric power system reliability.
  • 1991 - IEEE Fellow For contributions to the theory and applications of quantitative reliability methods in electric power systems.
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)

Overview

Chanan Singh is affiliated with Texas A&M University in the United States. Their research primarily focuses on engineering, with a strong emphasis on electrical and electronic engineering, safety, risk, reliability and quality, control and systems engineering, energy engineering and power technology, and computer vision and pattern recognition.

The scientist's work extensively covers topics related to power system reliability and maintenance, electric power system optimization, integrated energy systems optimization, optimal power flow distribution, smart grid energy management, power systems and renewable energy, and smart grid security and resilience.

Frequent publication venues for Chanan Singh include arXiv (Cornell University), IEEE Access, Fluctuation and Noise Letters, Advances in Applied Energy, and Applied Energy.

Notable recent papers authored by or associated with the scientist are:

  • Methods for Analysis and Quantification of Power System Resilience, 2022, IEEE Transactions on Power Systems
  • An open-source extendable model and corrective measure assessment of the 2021 texas power outage, 2021, Advances in Applied Energy
  • Control and Stability of Large-scale Power System with Highly Distributed Renewable Energy Generation: Viewpoints from Six Aspects, 2023, CSEE Journal of Power and Energy Systems
  • Toward carbon-neutral electricity and mobility: Is the grid infrastructure ready?, 2021, Joule
  • Reliability Assessment Framework for the Distribution System Including Distributed Energy Resources, 2021, IEEE Transactions on Sustainable Energy

Chanan Singh has collaborated frequently with researchers including Le Xie, Zongxiang Lu, Ying Qiao, Haibo Li, and László B. Kish.

The scientist has been recognized as a member of the National Academy of Engineering since 2018 with the citation noting advancement in theory, practice, and education in electric power system reliability.

Additional honors include being named an IEEE Fellow in 1991 for contributions to the theory and applications of quantitative reliability methods in electric power systems, and a fellow of the Indian National Academy of Engineering (INAE).

Best Publications

  • The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee

    C. Grigg;P. Wong;P. Albrecht;R. Allan

  • Stochastic combined heat and power dispatch based on multi-objective particle swarm optimization

    Lingfeng Wang;Chanan Singh

  • Assessment of available transfer capability and margins

    Y. Ou;C. Singh

  • A Distributionally Robust Optimization Model for Unit Commitment Considering Uncertain Wind Power Generation

    Peng Xiong;Panida Jirutitijaroen;Chanan Singh

  • Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm

    Lingfeng Wang;Chanan Singh

  • Multicriteria Design of Hybrid Power Generation Systems Based on a Modified Particle Swarm Optimization Algorithm

    Lingfeng Wang;C. Singh

  • Reliability-Constrained Optimum Placement of Reclosers and Distributed Generators in Distribution Networks Using an Ant Colony System Algorithm

    Lingfeng Wang;C. Singh

  • A practical approach for integrated power system vulnerability analysis with protection failures

    Xingbin Yu;C. Singh

  • Dispersed generation planning using improved Hereford ranch algorithm

    J.O. Kim;S.W. Nam;S.K. Park;C. Singh

  • Ant Colony Optimization-Based Method for Placement of Sectionalizing Switches in Distribution Networks Using a Fuzzy Multiobjective Approach

    H. Falaghi;M.-R. Haghifam;C. Singh

  • Optimal Deployment of Distributed Generation Using a Reliability Criterion

    Joydeep Mitra;Mallikarjuna R. Vallem;Chanan Singh

  • Reliability Modeling of Generation Systems Including Unconventional Energy Sources

    C. Singh;A. Lago-Gonzalez

  • DG integrated multistage distribution system expansion planning

    H. Falaghi;C. Singh;M.-R. Haghifam;M. Ramezani

  • An efficient technique for reliability analysis of power systems including time dependent sources

    C. Singh;Y. Kim

  • Generating Capacity Reliability Evaluation Based on Monte Carlo Simulation and Cross-Entropy Methods

    A.M.L. da Silva;R.A.G. Fernandez;C. Singh

  • Composite system reliability evaluation using state space pruning

    C. Singh;J. Mitra

  • Optimal operating strategy for distributed generation considering hourly reliability worth

    In-Su Bae;Jin-O Kim;Jae-Chul Kim;C. Singh

  • Report of large motor reliability survey of industrial and commercial installations. III

    R. N. Bell;D. W. Mcwilliams;P. O'donnell;C. Singh

  • Adequacy and economy analysis of distribution systems integrated with Electric Energy Storage and Renewable Energy Resources

    Yixing Xu;Chanan Singh

  • Balancing risk and cost in fuzzy economic dispatch including wind power penetration based on particle swarm optimization

    Lingfeng Wang;Chanan Singh

  • Reserve-constrained multiarea environmental/economic dispatch based on particle swarm optimization with local search

    Lingfeng Wang;Chanan Singh

  • Power system reliability impact of energy storage integration with intelligent operation strategy

    Yixing Xu;Chanan Singh

  • Dispersed generation planning using improved Hereford Ranch algorithm

    J.O. Kim;S.K. Park;K.W. Park;C. Singh

Frequent Co-Authors

Joydeep Mitra
Joydeep Mitra Michigan State University
Roy Billinton
Roy Billinton University of Saskatchewan
James D. McCalley
James D. McCalley Iowa State University
Mladen Kezunovic
Mladen Kezunovic Texas A&M University
Dipti Srinivasan
Dipti Srinivasan National University of Singapore
Le Xie
Le Xie Texas A&M University
Amaresh Kumar Nayak
Amaresh Kumar Nayak Indian Council of Agricultural Research
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Vijay Vittal
Vijay Vittal Arizona State University
Mohammad Shahid
Mohammad Shahid ICAR-National Rice Research Institute, Cuttack

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