Please use this identifier to cite or link to this item: https://idr.l3.nitk.ac.in/jspui/handle/123456789/9719
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dc.contributor.authorPrusty, B.R.
dc.contributor.authorJena, D.
dc.date.accessioned2020-03-31T06:51:20Z-
dc.date.available2020-03-31T06:51:20Z-
dc.date.issued2017
dc.identifier.citationIEEE Transactions on Industry Applications, 2017, Vol.53, 3, pp.2506-2516en_US
dc.identifier.uri10.1109/TIA.2017.2660462
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/9719-
dc.description.abstractThis paper proposes a hybridmethod for probabilistic load flow (PLF) study to analyze the influence of uncertain photovoltaic generations and load demands on transmission system performance. Besides, the paper focuses on accurate approximation of multimodal distributions of result variables in a temperatureaugmented PLF model without using any series expansion methods. The effect of uncertain ambient temperature on result variables is discussed. Multiple correlation cases between the input bus powers are considered. The performance of the proposed method is investigated on modified New England 39-bus power system. The results are compared with four well-established analyticalmethods and Monte Carlo simulation. The effect of multiple input correlations on probability distributions of result variables is analyzed. 2017 IEEE.en_US
dc.titleA sensitivity matrix-based temperature-augmented probabilistic load flow studyen_US
dc.typeArticleen_US
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