Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Shahrokh Akhlaghi"'
Autor:
Reza Yousefian, Xiaokang Xu, Mohamed Elkhatib, Jonathan Glidewell, John P. Buechler, Steven Judd, Robert Bartley, Shahrokh Akhlaghi
Publikováno v:
2022 IEEE Power & Energy Society General Meeting (PESGM).
Autor:
Alireza Rouhani, Junbo Zhao, Samson Shenglong Yu, Tianshu Bi, Abhinav Kumar Singh, Vladimir Terzija, Lamine Mili, Zhenyu Huang, Ali Abur, A. P. Sakis Meliopoulos, Marcos Netto, Shahrokh Akhlaghi, Antonio Gomez-Exposito, Innocent Kamwa, Shaobu Wang, Bikash C. Pal
Publikováno v:
IEEE Transactions on Power Systems. 36:2462-2472
Power system dynamic state estimation (DSE) remains an active research area. This is driven by the absence of accurate models, the increasing availability of fast-sampled, time-synchronized measurements, and the advances in the capability, scalabilit
Publikováno v:
IET Generation, Transmission & Distribution. 14:3972-3982
Model validation is an essential task to determine whether a model can accurately describe the actual behaviours of a power system. Currently, major commercial software tools are equipped with an ‘event playback’ function to validate dynamic mode
Autor:
Shahrokh Akhlaghi, Scott Jordan
Publikováno v:
2021 IEEE Power & Energy Society General Meeting (PESGM).
Publikováno v:
IET Generation, Transmission & Distribution. 13:669-678
Accurate and robust estimation of dynamic states is essential for monitoring and controlling a power grid. To achieve higher accuracy and robustness, this study proposes a hybrid estimation approach to estimate the dynamic states of synchronous gener
Publikováno v:
2020 IEEE Power & Energy Society General Meeting (PESGM).
Model validation is crucial for maintaining power-grid efficiency and reliability because models are the foundation of many operation and planning applications. The model validation process implemented by Southwest Power Pool (SPP) is presented in th
Publikováno v:
IEEE Transactions on Smart Grid. 9:3102-3111
Accurate estimation of dynamic states (such as synchronous machine rotor angle and speed) is critical for monitoring and controlling transient stability. Extended Kalman filter (EKF)-based approaches have been developed for estimating dynamic states.
Publikováno v:
IET Renewable Power Generation. 11:1261-1267
A solar panel tilt angle plays a great role in the performance of the solar panel which is either fixed at an optimal tilt angle or continuously adjusted using a solar tracking system. Solar tracking systems are not cost efficient especially for resi
Publikováno v:
2019 IEEE Power & Energy Society General Meeting (PESGM).
Accurate information about dynamic states (such as rotor angle and speed of a synchronous machine) is important for monitoring and controlling power system rotor-angle stability. In this paper, a multi-model adaptive Kalman filtering (MMAKF) approach
Publikováno v:
Hassanzadeh, F, Sangrody, H, Hajizadeh, A & Akhlaghi, S 2017, Back-to-back converter control of grid-connected wind turbine to mitigate voltage drop caused by faults . in Proceedings of 2017 North American Power Symposium (NAPS) . IEEE Press, 2017 North American Power Symposium (NAPS), 17/09/2017 . https://doi.org/10.1109/NAPS.2017.8107205
Power electronic converters enable wind turbines, operating at variable speed, to generate electricity more efficiently. Among variable speed operating turbine generators, permanent magnetic synchronous generator (PMSG) has got more attentions due to