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 …
control to analyze the relationship between these uncertain parameters and system outputs …
Parametric problems in power system analysis: Recent applications of polynomial approximation based on Galerkin method
In power systems, there are many uncertainty factors such as power outputs of distributed
generations and fluctuations of loads. It is very beneficial to power system analysis to …
generations and fluctuations of loads. It is very beneficial to power system analysis to …
Nonintrusive uncertainty quantification of dynamic power systems subject to stochastic excitations
Continuous-time random disturbances (also called stochastic excitations) due to increasing
renewable generation have an increasing impact on power system dynamics; However …
renewable generation have an increasing impact on power system dynamics; However …
Explicit MPC based on the Galerkin method for AGC considering volatile generations
The imbalance of generation and load caused by the increasing integration of volatile
generations poses challenges on frequency regulation. AGC is required to respond to the …
generations poses challenges on frequency regulation. AGC is required to respond to the …
A Galerkin method-based polynomial approximation for parametric problems in power system transient analysis
Parametric problems in the transient analysis refer to the investigations of the relationship
between parameters and dynamic behavior. To solve parametric problems, we propose a …
between parameters and dynamic behavior. To solve parametric problems, we propose a …
Stochastic processes in renewable power systems: From frequency domain to time domain
With the increasing penetration of renewable energy resources (RESs), the uncertainties of
volatile renewable generations significantly affect the power system operation. Such …
volatile renewable generations significantly affect the power system operation. Such …
A Fast Method for Uncertainty Analysis of Power System Dynamic Simulation
C Liu, Y Jiang, H Bai, R Yao, L Wu, W Yang - Processes, 2023 - mdpi.com
Uncertain variables, such as electric power system parameters, have significant impacts on
dynamic simulations of power systems. As traditional uncertainty analysis methods for power …
dynamic simulations of power systems. As traditional uncertainty analysis methods for power …
A Fault Location Method Based on Polynomial Chaos Expansion for Non-uniform Power Transmission Lines With Uncertainty Parameters
SY He, Y Song, A Cozza, YZ Xie… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This article introduces a novel fault location method utilizing polynomial-chaos expansion
(PCE) designed specifically for non-uniform transmission lines affected by uncertain …
(PCE) designed specifically for non-uniform transmission lines affected by uncertain …
[PDF][PDF] A Fault Location Method based on Polynomial Chaos Expansion for Non-uniform Transmission Lines with Uncertainty Parameters
H Shao-Yin, S Yu, A Cozza, X Yan-Zhao… - IEEE Transactions on …, 2024 - hal.science
This paper introduces a novel fault location method utilizing polynomial-chaos expansion
(PCE) designed specifically for non-uniform transmission lines affected by uncertain …
(PCE) designed specifically for non-uniform transmission lines affected by uncertain …
基于混沌多项式的指令鲁棒优化及在飞行控制中的应用.
曹瑞, 沈海东, 刘燕斌, 陆宇平 - Control Theory & …, 2020 - search.ebscohost.com
本文提出一种新的方法对随机系统进行运动预测和控制指令设计, 该方法可以充分利用已知信息
设计控制指令以提高闭环随机系统的鲁棒性. 首先采用混沌多项式对随机信息进行数学表述 …
设计控制指令以提高闭环随机系统的鲁棒性. 首先采用混沌多项式对随机信息进行数学表述 …