N
Navin Bhatt
Researcher at Electric Power Research Institute
Publications - 27
Citations - 935
Navin Bhatt is an academic researcher from Electric Power Research Institute. The author has contributed to research in topics: Electric power system & System identification. The author has an hindex of 13, co-authored 27 publications receiving 829 citations. Previous affiliations of Navin Bhatt include Iowa State University.
Papers
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Journal ArticleDOI
Decision Tree-Based Online Voltage Security Assessment Using PMU Measurements
Ruisheng Diao,Kai Sun,Vijay Vittal,R.J. O'Keefe,M.R. Richardson,Navin Bhatt,D. Stradford,S. Sarawgi +7 more
TL;DR: In this article, an online voltage security assessment scheme using synchronized phasor measurements and periodically updated decision trees (DTs) is presented. But the DTs are first trained offline using detailed voltage security analysis conducted using the past representative and forecasted 24-h ahead operating conditions.
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Dynamic Optimization Based Reactive Power Planning to Mitigate Slow Voltage Recovery and Short Term Voltage Instability
TL;DR: In this article, the optimal amount and locations for installing dynamic reactive resources are found by control vector parameterization (CVP), a dynamic optimization approach, by utilizing results from trajectory sensitivity analysis, singular value decomposition and linear programming optimization.
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Measurement-Based Real-Time Voltage Stability Monitoring for Load Areas
TL;DR: In this paper, a measurement-based voltage stability monitoring method for a load area fed by N tie lines is proposed, which adopts an N $+1$ buses equivalent system so as to model and monitor individual tie lines.
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ARMAX-Based Transfer Function Model Identification Using Wide-Area Measurement for Adaptive and Coordinated Damping Control
Hesen Liu,Lin Zhu,Zhuohong Pan,Feifei Bai,Yong Liu,Yilu Liu,Mahendra Patel,Evangelos Farantatos,Navin Bhatt +8 more
TL;DR: A comprehensive approach to identify a low-order transfer function model of a power system using a multi-input multi-output (MIMO) autoregressive moving average exogenous (ARMAX) model and demonstrates that the measurement-based model using MIMO ARMAX can capture all the dominant oscillation modes.
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Blackstart capability planning for power system restoration
Yazhou Jiang,Sijie Chen,Chen-Ching Liu,Wei Sun,Xiaochuan Luo,Shanshan Liu,Navin Bhatt,Sunitha Uppalapati,David Forcum +8 more
TL;DR: In this article, an optimal search algorithm is proposed to determine the plan to crank NBSUs through the selected paths of transmission lines, assuming that the generation capability of a BSU is constant.