能源转型背景下电力系统不确定性及应对方法综述
徐潇源， 王晗， 严正， 鲁卓欣， 康重庆… - 电力系统自动化, 2021 - epjournal.csee.org.cn
在可再生能源迅速发展, 能源结构低碳化转型的背景下, 电力系统正由确定性系统向强随机性
系统转变, 在电力系统分析, 规划与运行等各个领域出现了各类应对不确定性的方法与手段 …
系统转变, 在电力系统分析, 规划与运行等各个领域出现了各类应对不确定性的方法与手段 …
[HTML][HTML] Arbitrary polynomial chaos-based power system dynamic analysis with correlated uncertainties
This paper proposes a novel method based on arbitrary Polynomial Chaos (aPC) to
evaluate how parameter and variable uncertainty impacts on the dynamic response of …
evaluate how parameter and variable uncertainty impacts on the dynamic response of …
[HTML][HTML] An optimized algorithm for optimal power flow based on deep learning
With the increasing requirements for power system transient stability assessment, the
research on power system transient stability assessment theory and methods requires not …
research on power system transient stability assessment theory and methods requires not …
Accurate polynomial approximation of bifurcation hypersurfaces in parameter space for small signal stability region considering wind generation
The loss of small signal stability under parameter variation (eg, fluctuation of loads and wind
powers) can be ascribed to local bifurcations, ie, saddle-node, Hopf, singularity-induced …
powers) can be ascribed to local bifurcations, ie, saddle-node, Hopf, singularity-induced …
A non-intrusive probabilistic multi-energy flow calculation method and its application in operation risk analysis of integrated energy systems
With the deep coupling of electricity, heat, and gas systems, the uncertainties in renewable
energy sources and loads significantly impact the energy flow distribution of integrated …
energy sources and loads significantly impact the energy flow distribution of integrated …
Arbitrarily sparse polynomial chaos expansion for high-dimensional parametric problems: Parametric and probabilistic power flow as an example
D Shen, H Wu, B Xia, D Gan - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
Parameters, no matter whether they are uncontrollable uncertainty factors or controllable
variables, have a great impact on the states and performances of continuous engineering …
variables, have a great impact on the states and performances of continuous engineering …
Survey on Modeling of Temporally and Spatially Interdependent Uncertainties in Renewable Power Systems
Constructing a renewable energy-based power system has become an important
development path for the power industry's low-carbon transformation. However, as the …
development path for the power industry's low-carbon transformation. However, as the …
A Fast Parameter Identification Method for Composite Load Model Based on Jumping and Steady-State Points of Measured Data
The classic measurement-based method for load model parameter identification relies on
lots of transient simulations and optimization iterations, which is computationally intensive …
lots of transient simulations and optimization iterations, which is computationally intensive …
Research on Power Angle Characteristics of One-Machine Infinite-Bus Power Systems of Mixed Gauss and Poisson Stochastic Excitation
L Li, Y Li, C Xiao, X Zheng, Q Li - Recent Patents on …, 2024 - ingentaconnect.com
Background: A high percentage of renewable energy and a high percentage of power
electronic devices are connected to the power system, which leads to the diversification and …
electronic devices are connected to the power system, which leads to the diversification and …
Probabilistic Transient Analysis of Power System based on Nonlinear Auto-regressive Model
J Ma, F Meng, X Xu, D She, Z Yan… - 2021 IEEE 5th …, 2021 - ieeexplore.ieee.org
Considering the influence of uncertain factors on power system, it is difficult for traditional
deterministic time-domain simulation analysis to make a comprehensive evaluation for …
deterministic time-domain simulation analysis to make a comprehensive evaluation for …