Please use this identifier to cite or link to this item:
https://idr.l4.nitk.ac.in/jspui/handle/123456789/8999
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Girisha, Navada, H. | |
dc.contributor.author | Singh, S.V. | |
dc.contributor.author | Shubhanga, K.N. | |
dc.date.accessioned | 2020-03-30T10:23:14Z | - |
dc.date.available | 2020-03-30T10:23:14Z | - |
dc.date.issued | 2017 | |
dc.identifier.citation | 2017 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2017, 2017, Vol., , pp.- | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/8999 | - |
dc.description.abstract | In this paper, given the desired peak power requirement of the solar photovoltaics (SPV) power plant, computation of parameters of mathematical model of the SPV module along with aggregation parameters are considered. The SPV module model parameters are estimated by adjusting it to nonlinear current-voltage(I-V) equation at the three notable points on the I-V curve, which are provided by all commercial PV array data sheets. An appropriate process is evolved for estimating the number of SPV modules required for a given power specification, using constraints on converter voltage ratings. Various test cases are illustrated to appreciate aggregation process of SPV modules to form SPV power plant. The results presented form a basic step in power system analysis with SPV integration. � 2017 IEEE. | en_US |
dc.title | Modelling of a solar photovoltaic power plant for power system studies | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.