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https://idr.nitk.ac.in/jspui/handle/123456789/7592Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Singh, S.V. | |
| dc.contributor.author | Shubhanga, K.N. | |
| dc.date.accessioned | 2020-03-30T10:02:32Z | - |
| dc.date.available | 2020-03-30T10:02:32Z | - |
| dc.date.issued | 2017 | |
| dc.identifier.citation | 2016 IEEE Annual India Conference, INDICON 2016, 2017, Vol., , pp.- | en_US |
| dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/7592 | - |
| dc.description.abstract | In recent years, penetration level of the grid-connected renewables has been increasing. These grid integration, affects the steady state as well as dynamic behavior of the power system network. In this paper, the conventional loadflow programme is modified to accommodate grid-connected solar photovoltaic (SPV) power system. A model of SPV-integrated power system is developed to carry out large-signal analysis. Various test cases are illustrated to appreciate the network behavior for varying meteorological variable and different grid-specifications pertaining to SPV power system. Critical clearing time of SPV-integrated power system is estimated. � 2016 IEEE. | en_US |
| dc.title | Current injection modelling based large-signal analysis of a grid-connected solar photovoltaic power system | en_US |
| dc.type | Book chapter | en_US |
| Appears in Collections: | 2. Conference Papers | |
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