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Research Article

Prominent smart grid measurements by RAP-NN to warrant the reliability of the PV system

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Pages 5681-5698 | Received 01 Jun 2019, Accepted 13 Jul 2019, Published online: 10 Oct 2019
 

ABSTRACT

Nonetheless, the PV system evolves a clear fuel source, is a fluctuating source of energy subsequently it has to ensure its reliability, which can be got through the Knowledge about the reliability sensing parameters such voltage, current, power factor. But when it comes to sense knowledge about the reliability parameters of the PV system over the large cover area there arise the recurrence problem. Therefore, this scenario forces the PV system to have reliability recurrently sensing prominent smart grid strategy. Hitherto, those recurrent inputs are being clustered and the parameters have been sensed but the accurate measuring is lacking due to the squander of essential data and due to the increased memory utilization for recurrence operation. Regarding this issue, this work presentedAdvanced Artificial intelligent RAP-NN (Recurrent Approximated Predictive – Neural Network) for Prominent Smart Grid Measurements which avoids increased utilization of memory by including Long Short Term Memory for recurrently updating values and also the accurate measurement of the parameters are done by fourth-order Runge-Kutta approximation strategy which in turn gives very accurateprediction parameters readily yields better power quality measurement.

Additional information

Notes on contributors

Durga Prasad Ananthu

Durga Prasad Ananthu completed his B.Tech and M.Tech in Electrical engineering from JNTU Hyderabad, working as an Assistant professor in Guru Nanak Dev Engineering College, Bidar, Karnataka. Presently pursuing PhD from VTU Belagavi Karnataka Published various papers in reputed journals and his area of interests in Solar Photovoltaic (PV) based Smart  grids, power quality improvement techniques and power electronic converters. Email id: [email protected]

Neelshetty K

Neelshetty K,  completed his PhD from JNTU Hyderabad presently working as Professor & Head, Department of Electrical & Electronics Engineering Guru Nanak Dev Engineering College, Bidar, Karnataka, his area of interests in Power Electronics and drives, SMART GRIDS and Power quality improvement. Published many papers in reputed journals and conferences. Email id: [email protected]

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