DDS Based Smart Grid Data Interoperability and Performance Measurement

Abstract

Today's power grid has so many challenges in terms of centralized power generation, limited flow of information, limited support for power distribution, poor management of peak loads and power disruptions. Due to these limitations several organizations are working on Smart grid. As Smart grid consists of numerous kind of heterogeneous devices which increase the complexity and inefficiency. To cope with heterogeneity and provide interoperability for communication of these devices, middleware is considered to be the best approach. There are so many middlewares that have been proposed so far but DDS middleware provides high level of reliability and efficiency by addressing more performance metrics and several QoS policies especially in real time and mission critical applications. DDS fulfills almost all of the communication requirements of Smart grid due to rich set of QoS policies. We have deployed DDS in generation side of Smart grid in which energy renewables data is published to control and monitoring station. Similarly we have considered Smart grid standard as ANSI C12.19 to deploy DDS in transmission and consumption sides as well. Data structures are obtained to form topics over DDS RTI Connext to establish communication and conduct experimental study to analyze interoperability and other performance metrics. In the end we have compared publish subscribe performance of DDS with SocketIO based client server application in which DDS is proved to be a much better solution for Smart grid data interoperability and high performance efficiency.