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:

  1. Understand features of PMU and its application
  2. Use of ANN for PMU optimization
  3. 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.


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All Power system professionals , UG and PG students working in AI., ML, and its applications in power systems


PNGokhalePriya 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.
Her eBook entitled “How to run your Java programs on smart phone”, “Electrical Smart Grid in easy steps”, “Python Programming in easy steps”, “Python Programming with Goggle Colab” and “Handbook of Hydroelectric Power” have been published recently.

Tags & Topics for This Webinar:

Pmu optimization; Synchrophasor; Ann model; Training data set; Maximum power flow




For any questions, please contact Phyllis Caputo at

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


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