C
Chanan Singh
Researcher at Texas A&M University
Publications - 425
Citations - 15816
Chanan Singh is an academic researcher from Texas A&M University. The author has contributed to research in topics: Reliability (statistics) & Electric power system. The author has an hindex of 58, co-authored 408 publications receiving 14208 citations. Previous affiliations of Chanan Singh include Chinese Ministry of Transportation and Communications & National University of Singapore.
Papers
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Journal ArticleDOI
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.N. Allan,M. P. Bhavaraju,Roy Billinton,Q. Chen,C. C. Fong,S. Haddad,S. Kuruganty,Wenyuan Li,R. Mukerji,D. Patton,N. Rau,D. Reppen,A. Schneider,Mohammad Shahidehpour,Chanan Singh +17 more
TL;DR: In this article, an enhanced test system (RTS-96) is described for use in bulk power system reliability evaluation studies, which will permit comparative and benchmark studies to be performed on new and existing reliability evaluation techniques.
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Assessment of available transfer capability and margins
Y. Ou,Chanan Singh +1 more
TL;DR: In this paper, a transfer-based security constrained OPF (TSCOPF) method is proposed as a replacement of the conventional SCOPF method for use in the deregulation environment.
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Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm
Lingfeng Wang,Chanan Singh +1 more
TL;DR: A fuzzified multi-objective particle swarm optimization (FMOPSO) algorithm is proposed and implemented to dispatch the electric power considering both economic and environmental issues and its effectiveness is demonstrated by comparing its performance with other approaches including weighted aggregation (WA) and evolutionary multi-Objective optimization algorithms.
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A Distributionally Robust Optimization Model for Unit Commitment Considering Uncertain Wind Power Generation
TL;DR: In this article, the authors proposed a distributionally robust optimization model for solving unit commitment (UC) problems considering volatile wind power generation, where the uncertainty of wind power is captured by an ambiguity set that defines a family of renewable power distributions, and the expected total cost under the worst-case distribution is minimized.
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Multicriteria Design of Hybrid Power Generation Systems Based on a Modified Particle Swarm Optimization Algorithm
Lingfeng Wang,Chanan Singh +1 more
TL;DR: In this article, an improved particle swarm optimization algorithm is developed to derive non-nominal solutions for multisource hybrid power generation systems under different design scenarios are designed based on the proposed approach.