Quasi-Monte Carlo based probabilistic optimal power flow considering the correlation of wind speeds using copula function
ZQ **e, TY Ji, MS Li, QH Wu - IEEE Transactions on Power …, 2017 - ieeexplore.ieee.org
Wind farms commonly cluster in regions rich in wind resources. Thus, correlation of wind
speeds from different wind farms should not be ignored when modeling a power system with …
speeds from different wind farms should not be ignored when modeling a power system with …
Solving probabilistic optimal power flow problem using quasi Monte Carlo method and ninth-order polynomial normal transformation
B Zou, Q **ao - IEEE Transactions on Power Systems, 2013 - ieeexplore.ieee.org
This paper aims at establishing the cumulative distribution function (CDF) of the output
variable of the probabilistic optimal power flow. In the context of the probability weighted …
variable of the probabilistic optimal power flow. In the context of the probability weighted …
Mean-tracking model based stochastic economic dispatch for power systems with high penetration of wind power
The random wind power that accounts for a growing proportion in power systems imposes
higher challenge on the reliable operation of power system under uncertain circumstances …
higher challenge on the reliable operation of power system under uncertain circumstances …
Application of low-discrepancy sampling method in structural reliability analysis
H Dai, W Wang - Structural Safety, 2009 - Elsevier
This study introduces and investigates various low-discrepancy sequences and then
develops a new procedure in which the low-discrepancy sequences are combined with the …
develops a new procedure in which the low-discrepancy sequences are combined with the …
Risk constrained stochastic economic dispatch considering dependence of multiple wind farms using pair-copula
MS Li, ZJ Lin, TY Ji, QH Wu - Applied Energy, 2018 - Elsevier
With higher and higher penetration of wind power into power systems, dependence among
the wind speeds of different wind farms should be considered when modeling the wind …
the wind speeds of different wind farms should be considered when modeling the wind …
Variance-based global sensitivity analysis via sparse-grid interpolation and cubature
The stochastic collocation method using sparse grids has become a popular choice for
performing stochastic computations in high dimensional (random) parameter space. In …
performing stochastic computations in high dimensional (random) parameter space. In …
An adaptive polynomial skewed-normal transformation model for distribution reconstruction and reliability evaluation with rare events
Evaluating the failure probabilities with rare events remains a challenging task, especially
when dealing with complex limit state functions with high-dimensional random inputs. To …
when dealing with complex limit state functions with high-dimensional random inputs. To …
On stability of distance measures for event sequences induced by level-crossing sampling
While Shannon's paradigm of sampling is based on equidistant points in time, triggered by a
clock, level-crossing sampling schemes are based on the evaluation of the input signal's …
clock, level-crossing sampling schemes are based on the evaluation of the input signal's …
An efficient ranked Voronoi diagram-based hybrid method for reliability-based structural analysis and design optimization
Abstract The Space Partition-Unscented Transformation (SPUT) is an efficient reliability
method that partitions input space into a number of subspaces and then uses UT …
method that partitions input space into a number of subspaces and then uses UT …
[HTML][HTML] A novel pure data-selection framework for day-ahead wind power forecasting
Numerical weather prediction (NWP) data possess internal inaccuracies, such as low NWP
wind speed corresponding to high actual wind power generation. This study is intended to …
wind speed corresponding to high actual wind power generation. This study is intended to …