Abstract
In modern distribution grids, the access to the growing amount of data from various sources, the execution of complex algorithms on-demand, and the control of sparse actuators require on-demand scalability to support fluctuating workloads. Cloud computing technologies represent a viable solution for these requirements. To ensure that data can be exchanged and shared efficiently, as well as the full achievement of the cloud computing benefits to support the advanced analytic and mining required in smart grids, applications can be empowered with semantic information integration. This article adopts the semantic web into a cloud-based platform to analyze power distribution grids data and apply a service restoration application to re-energize loads after an electrical fault. The exemplary implementation of the demo is powered by FIWARE, which is based on open-source and customizable building blocks for future internet applications and services, and the SARGON ontology for the energy domain. The tests are deployed by integrating the semantic information, based on the IEC 61850 data model, in the cloud-based service restoration application and interfacing the field devices of the distribution grids. The platform performances, measured as network latency and computation time, ensure the feasibility of the proposed solution, constituting a reference for the next deployments of smart energy platforms.
Highlights
In modern distribution grids, the access to the growing amount of data from various sources, the execution of complex algorithms on-demand, and the control of sparse actuators require on-demand scalability to support fluctuating workloads
To investigate the validity of the proposed setup, the communication network latency is recorded: it corresponds to the time that elapses between sending data to Context Broker (CB) and the detection of the fault occurred in the electrical network, the consequent activation of the Service Restoration (SR) middleware, the computation of the restoration solution, provided to CB, and the implementation of closing commands in the field devices
This paper presents a cloud-based platform powered by FIWARE and based on Service Oriented Architecture (SOA) for the re-energization of loads after the occurrence of electrical faults in active distribution grids
Summary
Abstract—In modern distribution grids, the access to the growing amount of data from various sources, the execution of complex algorithms on-demand, and the control of sparse actuators require on-demand scalability to support fluctuating workloads. To ensure that data can be exchanged and shared efficiently, as well as the full achievement of the cloud computing benefits to support the advanced analytic and mining required in smart grids, applications can be empowered with semantic information integration. This paper adopts the semantic web into a cloud-based platform to analyse power distribution grids data and apply a service restoration application to re-energize loads after an electrical fault. The exemplary implementation of the demo is powered by FIWARE, which is based on open-source and customizable building blocks for future internet applications and services, and the SARGON ontology for the energy domain. The tests are deployed by integrating the semantic information, based on the IEC 61850 data model, in the cloud-based service restoration application and interfacing the field devices of the distribution grids.
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