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Pengxiang Ren - IEEE Xplore Author Profile
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Pengxiang Ren

Publications
4
Citations
74
Publications by Year
20182019
Co-Authors:
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Pengxiang Ren

Affiliation

Electrical and Computer Engineering Department
Northeastern University
Boston, MA, USA

Publication Topics

Biography

Pengxiang Ren (S’15) received the B.S. degree from Shanghai Jiao Tong University, Shanghai, China, in 2012 and the M.S. degree from Northeastern University, Boston, MA, USA, in 2015, where he is currently working toward the Ph.D. degree specializing in power system static and dynamic state and parameter estimation.(Based on document published on 21 January 2019).
Publications
4
Citations
74
Publications by Year
20182019
Co-Authors:
Author's Published Works

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Tracking Transmission Line Parameters in Power Grids Observed by PMUs

Pengxiang Ren;Ali Abur;Hanoch Lev-Ari

2019 IEEE Milan PowerTech
Year: 2019 | Conference Paper |
Cited by: Papers (7)
The paper presents a method to estimate the parameters of transmission lines using a minimum number of synchronized measurements. Considering the noise in the measured bus voltages and line currents, a phasor-only static state estimation is employed first to estimate the states. Then, the parameters of transmission lines are tracked dynamically by a Kalman filter. State estimation and parameter tr...Show More

Tracking Transmission Line Parameters in Power Grids Observed by PMUs

Pengxiang Ren;Ali Abur;Hanoch Lev-Ari

Year: 2019 | Conference Paper |

Avoiding Divergence in Multi-Area State Estimation

Pengxiang Ren;Ali Abur

IEEE Transactions on Power Systems
Year: 2019 | Volume: 34, Issue: 4 | Journal Article |
Cited by: Papers (12)
This paper is concerned about the divergence of state estimation solution for multi-area power grids. Such cases typically occur due to a single anomaly in the measurement set or network model, yet will cause failure of the state estimator to provide the solution for the entire system. The objective of our study is to develop an approach that will allow detection, identification, and isolation of ...Show More

Avoiding Divergence in Multi-Area State Estimation

Pengxiang Ren;Ali Abur

Year: 2019 | Volume: 34, Issue: 4 | Journal Article |

Obtaining Partial Solutions for Divergent State Estimation Problems in Large Power Systems

Pengxiang Ren;Ali Abur

2018 IEEE International Symposium on Circuits and Systems (ISCAS)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
This paper describes implementation of a multi-area state estimation approach where a converged solution can be obtained for a large part of the network even if the conventional state estimator does not converge. This is accomplished by locating and isolating the area which contains the gross error that is responsible for divergence. The paper investigates and addresses two main issues, namely are...Show More

Obtaining Partial Solutions for Divergent State Estimation Problems in Large Power Systems

Pengxiang Ren;Ali Abur

Year: 2018 | Conference Paper |

Tracking Three-Phase Untransposed Transmission Line Parameters Using Synchronized Measurements

Pengxiang Ren;Hanoch Lev-Ari;Ali Abur

IEEE Transactions on Power Systems
Year: 2018 | Volume: 33, Issue: 4 | Journal Article |
Cited by: Papers (53)
The purpose of the study that is reported in this paper is to develop a method to estimate the parameters of untransposed overhead transmission lines using synchronized measurements. Considering the noise in the measured bus voltages and line currents, a three-phase static state estimation is employed first to estimate the states. Then, the parameters are tracked dynamically by a Kalman filter. St...Show More

Tracking Three-Phase Untransposed Transmission Line Parameters Using Synchronized Measurements

Pengxiang Ren;Hanoch Lev-Ari;Ali Abur

Year: 2018 | Volume: 33, Issue: 4 | Journal Article |

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