22 citations · 22 across the 4 of their papers we have counts for
6 papers · 1 filter
A Data-Driven Sparse Polynomial Chaos Expansion Method to Assess Probabilistic Total Transfer Capability for Power Systems with Renewables
Xiaoting Wang, Xiaozhe Wang, Hao Sheng +1
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 capabi…
Online Measurement-Based Estimation of Dynamic System State Matrix in Ambient Conditions
Hao Sheng, Xiaozhe Wang
In this paper, a purely measurement-based method is proposed to estimate the dynamic system state matrix by applying the regression theorem of the multivariate Ornstein-Uhlenbeck p…
Probabilistic Power Flow Calculation using Non-intrusive Low-rank Approximation Method
Hao Sheng, Xiaozhe Wang
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 esti…
A Non-Intrusive Low-Rank Approximation Method for Assessing the Probabilistic Available Transfer Capability
Hao Sheng, Xiaozhe Wang
In this paper, a mathematical formulation of the probabilistic available transfer capability (PATC) problem is proposed to incorporate uncertainties from the large-scale renewable…
Applying Polynomial Chaos Expansion to Assess Probabilistic Available Delivery Capability for Distribution Networks with Renewables
Hao Sheng, Xiaozhe Wang
Considering the increasing penetration of renewable energy sources and electrical vehicles in utility distribution feeders, it is imperative to study the impacts of the resulting i…
Probabilistic Available Delivery Capability Assessment of General Distribution Network with Renewables
Hao Sheng, Xiaozhe Wang
Rapid increase of renewable energy sources and electric vehicles in utility distribution feeders introduces more and more uncertainties. To investigate how such uncertainties may a…