Title: Modelling and coordinating multi-source distributed power system models in service-oriented architecture
Authors: Yan Liu; Jared M. Chase; Ian Gorton; Mark Rice; Adam Wynne
Addresses: Concordia University, 1455 De Maisonneuve Blvd. West, Montreal, Quebec, H3G 1M8, Canada ' Pacific Northwest National Laboratory, Richland WA 99352, USA ' Pacific Northwest National Laboratory, Richland WA 99352, USA ' Pacific Northwest National Laboratory, Richland WA 99352, USA ' Pacific Northwest National Laboratory, Richland WA 99352, USA
Abstract: Distributed power system models aim to combine multi-source sensor device data with power grid monitoring and control data to improve the model accuracy. A software platform is essential that coordinates multiple data sources and integrates with the data communication and computation infrastructure. In this paper, we present a service-oriented coordination platform that exposes parallel programs as services and data sources as ports. We model services and ports by extending classes of standard common information model (CIM) for energy management and distribution management. These services are then coordinated based on the typed ports in the context of domain specific power system models. We demonstrate this platform with a use case of deploying distributed state estimation on the IEEE 118 bus model. Our contribution is building a service-oriented platform that provides power engineers an integrated environment for composing distributed power system models, disseminating data and launching high performance computing jobs.
Keywords: service-oriented architecture; SOA; workflow; power grid.
International Journal of High Performance Computing and Networking, 2018 Vol.12 No.2, pp.191 - 206
Available online: 22 Aug 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article