Phasor Measurement Units Optimization in Smart Grids
Presented by: Priya Nitin Gokhale
This webinar will cover Phasor Measurement Units (PMU) optimization in Smart Grids, it is elaborated with artificial neural networks (ANN)
Learning Objectives:
- Understand features of PMU and its application
- Use of ANN for PMU optimization
- Proposed method for detection of phase angles at Vs and Vr where maximum power will flow
Conclusion: The results obtained from ANN model are compared with Electrical Transient Analyzer Program (ETAP). The predicted & targeted results become equal by training neural network. Deep neural networks can be used for complex networks and near real time applications.
INTENDED AUDIENCE:
All Power system professionals , UG and PG students working in AI., ML, and its applications in power systems
ABOUT THE SPEAKERS
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Tags & Topics for This Webinar:
Pmu optimization; Synchrophasor; Ann model; Training data set; Maximum power flow
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 |