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)
- 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.
All Power system professionals , UG and PG students working in AI., ML, and its applications in power systems
ABOUT THE SPEAKERS
Priya Nitin Gokhale has eighteen years of Industrial experience and ten years of teaching experience. At present she is working as Head of Department and Professor in Departmental of Electrical Engineering in JSPM’s JSCOE, Pune. She is actively involved in university level Academic councils as well as Entrepreneurship Development. Her area of expertise includes Data integration in power systems, Smart Grid, Power Quality, Drives and automation, Renewable energy integration. She is Resource Person in Power Electronics Applications in Power Systems, Power Quality and Energy Audit and Management, Entrepreneurship Development.
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 email@example.com.
To view previous webinars on-demand, visit the IEEE Smart Grid Resource Center
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