Reliable Quality Monitoring of Power Distribution Networks using WSNs

With rapid urbanization and industrialization, there is enormous load on power generation units and distribution networks. The load dynamics introduces various harmonic components creating various issues like voltage fluctuations, deviations, high impedance faults etc. over the distribution lines. Wireless sensor nodes-based fault localization is the solution that can facilitate high quality power distribution. This work proposes a communication protocol with adaptive data collection strategy for power quality monitoring sensor networks. The data collection strategy is able to solve the problems of congestion and demand for higher bandwidth capacity in sensor networks with machine learning based fine tuning of sensing rate at nodes and congestion aware geographic routing.