Photovoltaic Inverter Operational Mode Flexibility in Distribution Feeders

 


Presented by: Dr. Shashank Vyas, The Energy and Resources Institute

High instantaneous penetration levels of solar PV generation on distribution feeders can lead to anomalous power flows. Such transients often develop from reverse power flows caused by disruption of PV-load balance during brownouts that can trigger the low-voltage side protection devices at the point of common coupling with possibility of unintentional islanding.

The presentation is an attempt to showcase major findings of a 2-year study done on benchmark distribution models and emulated feeders that explored the effect of load models and instantaneous power balances between loads and PV inverters in shaping up transient spikes that could potentially island a section. These ‘islanding precursors’ were used in a machine-learning framework so as to alert the inverter control circuitry. Such preemptive islanding-detection capability can be leveraged to isolate the inverter and switch to a V/f regulation mode to safely continue supply to the islanded section.

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INTENDED AUDIENCE:  Solar PV inverter manufacturers, distribution utility field operations personnel, distribution operational planning management team, graduate students working on smart solar inverters


The webinar is intended for anyone interested in the challenges and opportunities to implement power electronics into the grid and how these technologies will enable the utility of the future. Solar PV inverters, load models, distribution systems, anomaly detection, machine learning, and much more. Attendees can include solar PV inverter manufacturers, distribution utility field operations personnel, distribution operational planning management team, graduate students working on smart solar inverters, researchers, undergraduate and graduate students, academics, members of all IEEE societies, and so forth.

ABOUT THE SPEAKER:

Webinar PresenterDr. Shashank Vyas

Shashank Vyas works in the Electricity and Fuels Division of TERI as an Associate Fellow. He has four years of research experience in distribution system analysis and machine learning applications to smart grids. Prior to joining TERI in August 2017, he worked as a National Renewable Energy Fellow under MNRE fellowship at the National Institute of Technology Jaipur. He presently handles research projects in the domain of distribution systems.

He is leading the MacArthur Foundation funded project on technical studies for impact analysis of rooftop solar PV integration with distribution feeders and the UI-ASSIST project on distribution level battery energy storage systems in the capacity of co-principal investigator. He holds a PhD in predictive analytics and machine learning for islanding management in distribution feeders with high solar PV penetration from the National Institute of Technology Jaipur.

AFTER THE WEBINAR IS PRESENTED

For any questions, please contact Phyllis Caputo at p.caputo@ieee.org.

To view previous webinars on-demand, visit the IEEE Smart Grid Resource Center

 


 

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