5 papers
A predictive modular approach to constraint satisfaction under uncertainty -- with application to glycosylation in continuous monoclonal antibody biosimilar production
Yu Wang, Xiao Chen, Hubert Schwarz +2
The paper proposes a modular-based approach to constraint handling in process optimization and control. This is partly motivated by the recent interest in learning-based methods, e…
An Adaptive-Importance-Sampling-Enhanced Bayesian Approach for Topology Estimation in an Unbalanced Power Distribution System
Yijun Xu, Jaber Valinejad, Mert Korkali +4
The reliable operation of a power distribution system relies on a good prior knowledge of its topology and its system state. Although crucial, due to the lack of direct monitoring…
Probabilistic Load-Margin Assessment using Vine Copula and Gaussian Process Emulation
Yijun Xu, Kiran Karra, Lamine Mili +3
The increasing penetration of renewable energy along with the variations of the loads bring large uncertainties in the power system states that are threatening the security of powe…
Uncertainty Quantification in Stochastic Economic Dispatch using Gaussian Process Emulation
Zhixiong Hu, Yijun Xu, Mert Korkali +3
The increasing penetration of renewable energy resources in power systems, represented as random processes, converts the traditional deterministic economic dispatch problem into a…
Power Distribution System Synchrophasors with Non-Gaussian Errors: Real-World Measurements and Analysis
Can Huang, Charanraj A. Thimmisetty, Xiao Chen +6
This letter studies the synchrophasor measurement error of electric power distribution systems with on-line and off-line measurements using graphical and numerical tests. It demons…