Rotor angle stability of a microgrid generator through polynomial approximation based on RFID data collection and deep learning

W Khan, MZ Yousaf, AR Singh, S Khalid, M Bajaj… - Scientific Reports, 2024 - nature.com
The article proposes a novel approach to assess rotor angle stability in microgrids by
enhancing the Modified Galerkin Method (MGM), which is based on the Polynomial …

Polynomial chaos expansion for parametric problems in engineering systems: A review

D Shen, H Wu, B Xia, D Gan - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
In engineering systems with uncertain parameters, it is crucial for system analysis and
control to analyze the relationship between these uncertain parameters and system outputs …

[HTML][HTML] Research Methods for Transient Stability Analysis of Power Systems under Large Disturbances

H Wu, J Li, H Yang - Energies, 2024 - mdpi.com
Transient stability analysis is critical for maintaining the reliability and security of power
systems. This paper provides a comprehensive review of research methods for transient …

Uncertainty evaluation algorithm in power system dynamic analysis with correlated renewable energy sources

M Fan, Z Li, T Ding, L Huang, F Dong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The variation and uncertainty of renewable energy potentially impact power system stability.
This article proposes an efficient uncertainty evaluation algorithm to evaluate the influence …

Energy flow optimization of integrated gas and power systems in continuous time and space

C Zheng, J Fang, S Wang, X Ai, Z Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Due to the increasing penetration of gas-fired units and power to gas facilities, the electrical
power system and natural gas system are more and more bi-directionally coupled. To tackle …

Hyperelliptic Kalman filter-based aeroengine sensor fault FDIA system under multi-source uncertainty

RQ Sun, XB Han, YX Chen, LF Gou - Aerospace Science and Technology, 2023 - Elsevier
Aeroengine faces multi-source uncertainty while operating. To reduce the conservativeness
and improve the performance of the diagnosis system in complex environments, the multi …

Data-driven low-rank tensor approximation for fast grid integration of commercial EV charging stations considering demand uncertainties

Y Jiang, TH Ortmeyer, M Fan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The high power demand and charging variation of commercial fast electric vehicle (EV)
charging stations has the potential to significantly impact the operation of electric power …

Stochastic optimal power flow for power systems considering wind farms based on the stochastic collocation method

B Xia, Y Chen, W Yang, Q Chen, X Wang, K Min - IEEE Access, 2022 - ieeexplore.ieee.org
The investigation of stochastic optimal power flow (SOPF) is to seek the optimal solution of
static stability constrained optimal power flow considering the uncertainty of parameters in …

A Physics-Informed Action Network for Transient Stability Preventive Control

Y Liu, S Gao, G Qiu, T Liu, L Ding… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This letter proposes a physics-informed action network (PIAN) for power system transient
stability preventive control (TSPC). The network firstly renders deep learning to reduce the …

Improved ADP-based Limited-Iterative Decentralized Algorithm for Optimal Power Flow of Networked Microgrids

J Chen, J Zhu, H Liu, M Liu - IEEE Transactions on Power …, 2024 - ieeexplore.ieee.org
In this paper, an improved approximate dynamic programming (IADP)-based limited-iterative
decentralized algorithm is proposed for solving the optimal power flow (OPF) problem of …