Slides for: Phasor Measurement Units optimization in Smart Grids
Priya Nitin Gokhale
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Members: FreeSG Sponsoring Societies
IEEE Members: $11.00
Non-members: $15.00Pages/Slides: 15
18 Aug 2022
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.
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.
