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.

DOI: 10.1504/IJHPCN.2018.094369

International Journal of High Performance Computing and Networking, 2018 Vol.12 No.2, pp.191 - 206

Received: 19 Dec 2015
Accepted: 11 Jun 2016
Published online: 31 Aug 2018 *

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