Modified Cumulant based Probabilistic Load Flow Considering Correlation between Loads and Wind Power Generations

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dc.contributor.authorSingh, V.
dc.contributor.authorMoger, T.
dc.contributor.authorJena, D.
dc.date.accessioned2026-02-06T06:35:28Z
dc.date.issued2022
dc.description.abstractWith the growing use of wind sources, power system analysis should consider the variation of wind power and the correlation among wind farms. In this paper, the Cumulant method (CM) for performing probabilistic load flow (PLF) analysis is modified to account for the correlation between random input variables. Considering the dependence between loads and wind power generations (WPGs), the modified CM models the dependent variables as a function of many independent ones using the Nataf transformation. The effectiveness of the suggested method is verified by performing case studies on a 24-bus equivalent system of the Indian southern region power grid. Furthermore, relative error values in reference with the Monte-Carlo simulation (MCS) method are analyzed. © 2022 IEEE.
dc.identifier.citation2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022, 2022, Vol., , p. 227-232
dc.identifier.urihttps://doi.org/10.1109/GlobConET53749.2022.9872363
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/29876
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectCorrelation
dc.subjectCumulant method
dc.subjectMonte-Carlo simulation
dc.subjectNataf transformation
dc.subjectProbabilistic load flow
dc.titleModified Cumulant based Probabilistic Load Flow Considering Correlation between Loads and Wind Power Generations

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