Results 51 to 60 of about 291 (205)
A Novel Probabilistic Optimal Power Flow Method to Handle Large Fluctuations of Stochastic Variables
The traditional cumulant method (CM) for probabilistic optimal power flow (P-OPF) needs to perform linearization on the Karush–Kuhn–Tucker (KKT) first-order conditions, therefore requiring input variables (wind power or loads) varying within small ranges.
Xiaoyang Deng, Jinghan He, Pei Zhang
doaj +1 more source
Objective The concern that nonsteroidal anti‐inflammatory drugs (NSAIDs) may precipitate flares of inflammatory bowel disease (IBD) has limited their use in managing musculoskeletal symptoms in those with IBD, but safety data are mixed. Methods This retrospective cohort study included patients with IBD aged at least 18 years from Optum's deidentified ...
Adam S. Mayer +4 more
wiley +1 more source
WIND FARM EFFECTS ON TOTAL TRANSFER CAPABILITY [PDF]
Available transfer capability (ATC) is a key index to manage future transactions between areas in the open access environment. ATC is a probability index because of the uncertainties related to power system operation.
حمید Falaghi +2 more
doaj +1 more source
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Materials and Methods Using data from a single center, we analyzed employment transitions, adjusted mean ...
Javier Mencia‐Ledo +4 more
wiley +1 more source
Research on Multi-objective Probabilistic Optimal Power Flow Considering Demand Response
This paper focuses on the problem of multi-objective probabilistic optimal power flow (MPOPF) considering demand response based on locational comprehensive price.
CAO Jia +4 more
doaj
The capacity of renewable distributed generation (DG) connected in distribution networks is increasing. Use of power electronic interfaces means DG can inject harmonic currents through the point of common coupling into upstream networks.
Wei Sun, Gareth P. Harrison
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Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Probabilistic optimal power flow enhancements and applications
Bibliography: p.
openaire +2 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
A Unified and Efficient Approach to Power Flow Analysis
Highly nonlinear and nonconvex power flow analysis plays a key role in the monitoring, control, and operation of power systems. There is no analytic solution to power flow problems, and therefore, finding a numerical solution is oftentimes an aim of ...
HyungSeon Oh
doaj +1 more source

