Second Annual EFRI Workshop


    EFRI Office Representative Visit


    Third Annual EFRI Workshop



Cellular Simultaneous Recurrent Neural Networks Based Wide Area Monitor for a Smart Grid
Bipul Luitel, Student Member, IEEE and Ganesh K. Venayagamoorthy, Senior Member, IEEE

Abstract—Power system is highly nonlinear and complex with thousands of components geographically spread over a wide area. Wide area controllers (WACs) provide remote auxiliary control to the local controllers to damp out inter-area oscillations. Wide area monitor (WAM) is therefore necessary to monitor the status of various parameters of the geographically distributed power system components to help the WAC in generating proper control action. In the context of smart grid, size and complexity of the modern power system has grown tremendously due to the addition of renewable energy sources and micro-grids. Wide area monitoring of such large system has, therefore, become a challenge. In this paper, a wide area monitor is designed using cellular simultaneous recurrent neural networks (CSRN) in order to ensure scalability.