Economical Synchrophasor Data Acquisition System for W AMS Implementations

The power system in India is continuing to increase to extra dimensions, particularly with synchronous interconnectedness of the Modern grid with the Southern Regional Grid, trying to make it a national grid with more than 350 GW capacities. With the development of the conventional network, the uncertainty due to changes in the path of the power flow, the huge disparity in supply and demand, etc., has incremented. Throughout addition, attention has been put on the utilization of renewable energy and its incorporation into the grid in order to achieve sustainable development. All of these costume challenges of grid protection, security and stability under various operating conditions and have since grown in complexity of measuring and managing such a large grid. Emerging SCADA / EMS does have the ability to supply only a steady state perspective of the data transfer flow latency power grid. Synchrophasor measurements have used Phasor Measurement Units over such a wide area facilitate dynamic real-time measurements as well as visual analytics of the power system which are important in monitoring the safety and security of the grid and in taking control/corrective measures in the new structure of smart grids. Financial constraints delayed the deployment of PMU's across the power system network, restricted to the installation at 400kV substations only. These restraints were addressed by developing a cost-effective device to monitor the synchro phasors across the network. Raspberry Pi integrated with Arduino Due was used for data acquisition, processing and communication. This will enhance the scope of utilization even at distribution level in the Smart Grid scenario. Emerging SCADA / EMS does have the ability to supply only a steady state perspective of the data transfer flow latency power grid. Synchrophasor measurements have used Phasor Measurement Units over such a wide area facilitate dynamic real-time measurements as well as visual analytics of the power system which are important in monitoring the safety and security of the grid and in taking control/corrective measures in the new structure of smart grids. Financial constraints delayed the deployment of PMU's across the power system network, restricted to the installation at 400kV substations only. These restraints were addressed by developing a cost-effective device to monitor the synchro phasors across the network. Raspberry Pi integrated with Arduino Due was used for data acquisition, processing and communication. This will enhance the scope of utilization even at distribution level in the Smart Grid scenario.