I am researching on using data analytics for addressing the issue of unintentional islanding in distribution grids given that renewable energy based generators will increase their penetration. I plan to use predictive grid analytics for which I will require data on events of islanding in any real distribution grid. Basically all the instances when unintentional islanding took place or whenever disconnection from the main grid took place are important.
The basic idea is to pinpoint the instances when events (disturbances) took place which are expected to be recorded, in form of alarms , at least. Events like switching surges, transients , overloads and opening of grid Circuit breakers/ CBs at any feeder node, are important.
The main motive is to analyze what were the conditions just before the actual event happening and so power flow conditions and dynamic data preceding the event are more important. A pre-event classifier will then identify the signatures that can truly lead to islanding, preventing false-tripping of the connected solar PV generator. I have tried contacting Delhi utilities but chances are thin. Can any other resource/source/link be provided?
Dear Shashank,
Maybe this linkswill be useful:
http://smartgrid.ieee.org/questions-and-answers/787-interview-with-thomas-s-basso
A Guidebook on Grid Interconnection and Islanded Operation of Mini-Grid
Power Systems Up to 200 kW by Chris Greacen , Richard Engel, Thomas Quetchenbach
http://www.cleanenergyministerial.org/Portals/2/pdfs/A_Guidebook_for_Minigrids-SERC_LBNL_March_2013.pdf
And these others:
Grid-Connected Inverter Anti-Islanding Test Results for General Electric Inverter-Based Interconnection Technology by Z. Ye and M. Dame and B. Kroposki
http://www.nrel.gov/docs/fy05osti/37200.pdf
and,
http://www.ecoissues.ca/Smart_Grid_Primer:_Distributed_Generation
Regards,
Vanessa
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