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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Rajanarayan, Prusty, B. | |
| dc.contributor.author | Jena, D. | |
| dc.date.accessioned | 2020-03-30T10:22:53Z | - |
| dc.date.available | 2020-03-30T10:22:53Z | - |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Lecture Notes in Electrical Engineering, 2019, Vol.553, , pp.1159-1168 | en_US |
| dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/8855 | - |
| dc.description.abstract | This paper compares the performance (solution accuracy and computational efficiency) of two hybrid methods (HMs) for probabilistic load flow (PLF) considering a mixture of discrete as well as correlated Gaussian and non-Gaussian input random variables. The PLF is accomplished on IEEE 118-bus test system with photovoltaic arrays installed at specific buses. The results of the HMs are compared with that of the existing methods such as combined cumulant and Gram-Charlier method, combined cumulant and Cornish-Fisher method, dependent discrete convolution method, and Monte Carlo simulation. � 2019, Springer Nature Singapore Pte Ltd. | en_US |
| dc.title | Probabilistic Load Flow in a Transmission System Integrated with Photovoltaic Generations | en_US |
| dc.type | Book chapter | en_US |
| Appears in Collections: | 2. Conference Papers | |
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