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Fei Ni - IEEE Xplore Author Profile
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Fei Ni

Also published under: F. Ni

Publications
14
Citations
295
Publications by Year
20122024
Co-Authors:
Show All Co-Authors (34)
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Fei Ni

Also published under: F. Ni

Affiliation

National Maglev Transportation Engineering R&D Center, Tongji University, China

Publication Topics

Biography

Fei Ni received her M.S. degree in applied mathematics from Northwestern Polytechnical University, XiâĂŹan, China, in 2010. She is currently a research associate and is pursuing the Ph.D. in the Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, Aachen, Germany. Her research interests include stochastic optimization and control of complex power systems.(Based on document published on 21 February 2013).
Publications
14
Citations
295
Publications by Year
20122024
Co-Authors:
Show All Co-Authors (34)
Author's Published Works

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Finite-time Control of High-speed Maglev Train Levitation System based on Terminal Sliding Mode

Yifan Luo;Fei Ni;Guobin Lin;Junqi Xu

2024 4th International Conference on Control Theory and Applications (ICoCTA)
Year: 2024 | Conference Paper |
The levitation system of the high-speed maglev train is a complex system that must quickly adjust after disturbances to minimize their impact on the train's movements. This paper presents a type of non-singular terminal sliding mode (NTSM) finite-time control approach for the levitation gap tracking of the high-speed maglev train. First, we analyze the levitation system's dynamic characteristics w...Show More

Finite-time Control of High-speed Maglev Train Levitation System based on Terminal Sliding Mode

Yifan Luo;Fei Ni;Guobin Lin;Junqi Xu

Year: 2024 | Conference Paper |

Structural Safety Analysis of Electromagnetic Levitation System Subject to Track Irregularities

Fei Ni;Yawen Dai;Boyang Shen;Junqi Xu

IEEE Transactions on Applied Superconductivity
Year: 2024 | Volume: 34, Issue: 8 | Journal Article |
Cited by: Papers (1)
In light of the cumulative impact of the stochastic track irregularity, ensuring optimal performance of the electromagnetic levitation system requires not only achieving robust operating performances but also sustaining high reliability over extended service periods. This paper conducts comprehensive research of the structural safety of the levitation unit within a Maglev train's levitation system...Show More

Structural Safety Analysis of Electromagnetic Levitation System Subject to Track Irregularities

Fei Ni;Yawen Dai;Boyang Shen;Junqi Xu

Year: 2024 | Volume: 34, Issue: 8 | Journal Article |

A Generalized Model of HTS-HTS Joint Resistance for Superconducting Magnets

Yu Chen;Lin Fu;Wenbin Wang;Junqi Xu;Fei Ni;Guobin Lin;Jinsong Kang;Xiaohong Chen;Jie Sheng;Yawei Wang;Yupeng Yuan;Wei Chen;Xingming Bian;Yongjian Li;Boyang Shen

IEEE Transactions on Applied Superconductivity
Year: 2024 | Volume: 34, Issue: 8 | Journal Article |
Cited by: Papers (1)
Large-scale high temperature superconducting (HTS) magnets usually have tens of double/single pancake coil units. The structural optimization and manufacture of the magnet assembly result in varying axial gaps between adjacent pancakes. This brings additional difficulties for inserting the superconducting joints and dealing with the welding factors such as the gap, welding angle and overlapped len...Show More

A Generalized Model of HTS-HTS Joint Resistance for Superconducting Magnets

Yu Chen;Lin Fu;Wenbin Wang;Junqi Xu;Fei Ni;Guobin Lin;Jinsong Kang;Xiaohong Chen;Jie Sheng;Yawei Wang;Yupeng Yuan;Wei Chen;Xingming Bian;Yongjian Li;Boyang Shen

Year: 2024 | Volume: 34, Issue: 8 | Journal Article |

Variance-Based Global Sensitivity Analysis for Power Systems

Fei Ni;Michiel Nijhuis;Phuong H. Nguyen;Joseph F. G. Cobben

IEEE Transactions on Power Systems
Year: 2018 | Volume: 33, Issue: 2 | Journal Article |
Cited by: Papers (60)
Knowledge of the impact of uncertain inputs is valuable, especially in power systems with large amounts of stochastic renewable generations. A global sensitivity analysis (GSA) can determine the impact of input uncertainties on the output quantity of interest in a certain physical or mathematical model. The GSA has not been widely employed in power systems due to the prohibitively computational bu...Show More

Variance-Based Global Sensitivity Analysis for Power Systems

Fei Ni;Michiel Nijhuis;Phuong H. Nguyen;Joseph F. G. Cobben

Year: 2018 | Volume: 33, Issue: 2 | Journal Article |

Basis-adaptive sparse polynomial chaos expansion for probabilistic power flow

Fei Ni;Phuong H. Nguyen;Joseph F.G. Cobben

2017 IEEE Manchester PowerTech
Year: 2017 | Conference Paper |
This paper introduces the basis-adaptive sparse polynomial chaos (BASPC) expansion to perform the probabilistic power flow (PPF) analysis in power systems. The proposed method takes advantage of three state-of-the-art uncertainty quantification methodologies reasonably: the hyperbolic scheme to truncate the infinite polynomial chaos (PC) series; the least angle regression (LARS) technique to selec...Show More

Basis-adaptive sparse polynomial chaos expansion for probabilistic power flow

Fei Ni;Phuong H. Nguyen;Joseph F.G. Cobben

Year: 2017 | Conference Paper |

Basis-Adaptive Sparse Polynomial Chaos Expansion for Probabilistic Power Flow

Fei Ni;Phuong H. Nguyen;Joseph F. G. Cobben

IEEE Transactions on Power Systems
Year: 2017 | Volume: 32, Issue: 1 | Journal Article |
Cited by: Papers (94)
This paper introduces the basis-adaptive sparse polynomial chaos (BASPC) expansion to perform the probabilistic power flow (PPF) analysis in power systems. The proposed method takes advantage of three state-of-the-art uncertainty quantification methodologies reasonably: the hyperbolic scheme to truncate the infinite polynomial chaos (PC) series; the least angle regression (LARS) technique to selec...Show More

Basis-Adaptive Sparse Polynomial Chaos Expansion for Probabilistic Power Flow

Fei Ni;Phuong H. Nguyen;Joseph F. G. Cobben

Year: 2017 | Volume: 32, Issue: 1 | Journal Article |

Measurement of the harmonic impedance of the aggregated distribution network

V. Ćuk;F. Ni;W. Jin;A. Jongepier;H.E. van den Brom;G. Rietveld;M. Ačanski;J.F.G. Cobben

2016 17th International Conference on Harmonics and Quality of Power (ICHQP)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
This paper presents a method for measurement of the harmonic impedance of an aggregated distribution network using multiple Phasor Measurement Units (PMUs) with the additional capability of synchronized voltage and current spectrum measurement. The perturbations of the harmonic voltages which originate from the higher voltage levels are distinguished based on the measurements from multiple busbars...Show More

Measurement of the harmonic impedance of the aggregated distribution network

V. Ćuk;F. Ni;W. Jin;A. Jongepier;H.E. van den Brom;G. Rietveld;M. Ačanski;J.F.G. Cobben

Year: 2016 | Conference Paper |

Application of non-intrusive polynomial chaos expansion in probabilistic power flow with truncated random variables

F. Ni;P. H. Nguyen;J. F. G. Cobben;J. Tang

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Year: 2016 | Conference Paper |
In this paper, the authors apply a surrogate model-based method for probabilistic power flow (PPF) in the power system subject to truncated random variables. Due to a growing number of uncertainty sources are being brought into the modern power system, the traditional deterministic power flow analysis lacks its ability to recognize the realistic states of power systems, and thus turns to PPF for h...Show More

Application of non-intrusive polynomial chaos expansion in probabilistic power flow with truncated random variables

F. Ni;P. H. Nguyen;J. F. G. Cobben;J. Tang

Year: 2016 | Conference Paper |

Uncertainty analysis of aggregated smart meter data for state estimation

F. Ni;P. H. Nguyen;J. F. G. Cobben;H. E. van den Brom;D. Zhao

2016 IEEE International Workshop on Applied Measurements for Power Systems (AMPS)
Year: 2016 | Conference Paper |
Cited by: Papers (17)
In distribution networks, the data redundancy is usually assumed to be an inevitable bottleneck of traditional grid control and operation. Recently, the availability of smart meter data in distribution systems has provided an opportunity to improve the observability. As for the medium-voltage (MV) distribution system, there is an increasing interest to use the spatially aggregated smart meter data...Show More

Uncertainty analysis of aggregated smart meter data for state estimation

F. Ni;P. H. Nguyen;J. F. G. Cobben;H. E. van den Brom;D. Zhao

Year: 2016 | Conference Paper |

Dimension-Adaptive Sparse Grid Interpolation for Uncertainty Quantification in Modern Power Systems: Probabilistic Power Flow

Junjie Tang;Fei Ni;Ferdinanda Ponci;Antonello Monti

IEEE Transactions on Power Systems
Year: 2016 | Volume: 31, Issue: 2 | Journal Article |
Cited by: Papers (83)
In this paper, the authors firstly present the theoretical foundation of a state-of-the-art uncertainty quantification method, the dimension-adaptive sparse grid interpolation (DASGI), for introducing it into the applications of probabilistic power flow (PPF), specifically as discussed herein. It is well-known that numerous sources of uncertainty are being brought into the present-day electrical g...Show More

Dimension-Adaptive Sparse Grid Interpolation for Uncertainty Quantification in Modern Power Systems: Probabilistic Power Flow

Junjie Tang;Fei Ni;Ferdinanda Ponci;Antonello Monti

Year: 2016 | Volume: 31, Issue: 2 | Journal Article |

Application of non-intrusive polynomial chaos theory to real time simulation

Junjie Tang;Fei Ni;Kanali Togawa;Ferdinanda Ponci;Antonello Monti

2013 IEEE Grenoble Conference
Year: 2013 | Conference Paper |
Simulation tools play a critical role in the design and test of power systems. In particular, real time simulation is now reliable and constitutes the basis for Hardware in the Loop and Power hardware in the Loop testing techniques. The application of real time simulation and related techniques to power systems is made particularly challenging as it should cover the analysis of stochastic behavior...Show More

Application of non-intrusive polynomial chaos theory to real time simulation

Junjie Tang;Fei Ni;Kanali Togawa;Ferdinanda Ponci;Antonello Monti

Year: 2013 | Conference Paper |

Integration of a large-scale research facility into the grid: Case study of a real project

Junjie Tang;Fei Ni;Ferdinanda Ponci;Antonello Monti

2013 International Conference on Clean Electrical Power (ICCEP)
Year: 2013 | Conference Paper |
Cited by: Papers (1)
Pursuing 2020 and 2050 energy and emission goals also the large-scale research facilities must reduce energy consumption and contribution to greenhouse gas (GHG) emission, as well as behaving like good citizens of the smart grid. These new requirements are currently being integrated in the design process of these facilities. Hence, extensive verifications and tests must be carried out before a fac...Show More

Integration of a large-scale research facility into the grid: Case study of a real project

Junjie Tang;Fei Ni;Ferdinanda Ponci;Antonello Monti

Year: 2013 | Conference Paper |

A modified Taylor-Kalman filter for instantaneous dynamic phasor estimation

Junqi Liu;Fei Ni;Junjie Tang;Ferdinanda Ponci;Antonello Monti

2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)
Year: 2012 | Conference Paper |
Cited by: Papers (24)
This paper proposes a modified Taylor-Kalman filter (TKF) for instantaneous phasor estimation based on an improved dynamic model describing the complex trajectory of dynamic phasors. The improved dynamic model is obtained thanks to a revised state transition equation of the rotating phasor and its derivatives. The proposed approach is assessed with dynamic compliance tests defined in the synchroph...Show More

A modified Taylor-Kalman filter for instantaneous dynamic phasor estimation

Junqi Liu;Fei Ni;Junjie Tang;Ferdinanda Ponci;Antonello Monti

Year: 2012 | Conference Paper |

Fundamental and harmonic synchrophasors estimation using modified Taylor-Kalman filter

Junqi Liu;Fei Ni;Paolo Attilio Pegoraro;Ferdinanda Ponci;Antonello Monti;Carlo Muscas

2012 IEEE International Workshop on Applied Measurements for Power Systems (AMPS) Proceedings
Year: 2012 | Conference Paper |
Cited by: Papers (13)
This paper investigates the possibility of measuring fundamental and harmonic synchrophasors as well as the signal frequency using a modified Taylor Kalman filter (TKF). In a previous paper, a modified TKF was proposed to track the complex trajectory of dynamic phasors of the fundamental frequency component based on an improved dynamic model under non-steady state conditions. In this paper, we ext...Show More

Fundamental and harmonic synchrophasors estimation using modified Taylor-Kalman filter

Junqi Liu;Fei Ni;Paolo Attilio Pegoraro;Ferdinanda Ponci;Antonello Monti;Carlo Muscas

Year: 2012 | Conference Paper |

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