Probabilistic voltage sensitivity analysis to quantify impact of high PV penetration on unbalanced distribution system
From an operational and planning perspective, it is important to quantify the impact of
increasing penetration of photovoltaics on the distribution system voltage. Most existing …
increasing penetration of photovoltaics on the distribution system voltage. Most existing …
An online data-driven method to locate forced oscillation sources from power plants based on sparse identification of nonlinear dynamics (SINDy)
Forced oscillations may jeopardize the secure operation of power systems. To mitigate
forced oscillations, locating the sources is critical. In this paper, leveraging on Sparse …
forced oscillations, locating the sources is critical. In this paper, leveraging on Sparse …
A data-driven sparse polynomial chaos expansion method to assess probabilistic total transfer capability for power systems with renewables
The increasing uncertainty level caused by growing renewable energy sources (RES) and
aging transmission networks poses a great challenge in the assessment of total transfer …
aging transmission networks poses a great challenge in the assessment of total transfer …
A scenario-based analytical method for probabilistic load flow analysis
C Wang, C Liu, F Tang, D Liu, Y Zhou - Electric power systems research, 2020 - Elsevier
In recent years, power system uncertainties have increased due to the growing integrations
of intermittent renewable energy resources. It is imperative to introduce probabilistic load …
of intermittent renewable energy resources. It is imperative to introduce probabilistic load …
Probabilistic power flow calculation using non-intrusive low-rank approximation method
In this paper, a novel non-intrusive probabilistic power flow (PPF) analysis method based on
the low-rank approximation (LRA) is proposed, which can accurately and efficiently estimate …
the low-rank approximation (LRA) is proposed, which can accurately and efficiently estimate …
An improved probabilistic load flow simulation method considering correlated stochastic variables
J Zhang, G Xiong, K Meng, P Yu, G Yao… - International Journal of …, 2019 - Elsevier
As the increasing integration of large-scale renewable energy sources in power systems, the
stochastic characteristics of loads and renewable energy systems become much more …
stochastic characteristics of loads and renewable energy systems become much more …
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 …
A data-driven uncertainty quantification method for stochastic economic dispatch
This letter proposes a data-driven sparse polynomial chaos expansion-based surrogate
model for the stochastic economic dispatch problem considering uncertainty from wind …
model for the stochastic economic dispatch problem considering uncertainty from wind …
Probabilistic power flow analysis based on partial least square and arbitrary polynomial chaos expansion
J Laowanitwattana, S Uatrongjit - IEEE Transactions on Power …, 2021 - ieeexplore.ieee.org
This paper presents a new algorithm based on the partial least square (PLS) techniques and
the arbitrary polynomial chaos expansion (aPCE) for the probabilistic power flow (PPF) …
the arbitrary polynomial chaos expansion (aPCE) for the probabilistic power flow (PPF) …
An iterative response-surface-based approach for chance-constrained ac optimal power flow considering dependent uncertainty
A modern power system is characterized by a stochastic variation of the loads and an
increasing penetration of renewable energy generation, which results in large uncertainties …
increasing penetration of renewable energy generation, which results in large uncertainties …