Enhancements to the Cumulant Method for Probabilistic Optimal Power Flow Studies
By Ali Tamtum, Antony Schellenberg, D. Rosehart. IEEE Transactions on Power Systems, 2009
73 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/02769b55609ea9de0caa70ddce1110c972af953b
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In Electrical and Electronic Engineering
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Citations in the corpus
- Solving Probabilistic Optimal Power Flow Problem Using Quasi Monte Carlo Method and Ninth-Order Polynomial Normal Transformation (2014, methodology): “For the purpose of more efficient computation, a few approaches have been attempted, such as the cumulant-based method [2]–[6] and the point estimate method (PEM) [7].”
- A Novel Probabilistic Optimal Power Flow Model With Uncertain Wind Power Generation Described by Customized Gaussian Mixture Model (2016, unknown): “problem, and several typical approaches to compute P-OPF include two-point estimation [6], first-order second moment method [7], [8], cumulant method [9], [10], and so on.”