JOURNAL ARTICLE

Research on heterogeneous data integration for Smart Grid

Abstract

Compared with the traditional power grid, Smart Grid can improve the reliability and availability of the entire grid, while it continues to reduce the costs and improve the efficiency. It is getting more and more attentions, the characteristics of integration and interaction require the exchanging and sharing of the information, as well as the seamless connection of various parts. The Ontology as a shared conceptual model and formal specification provides a good way to resolve the semantic heterogeneity problem. By the research of past means of heterogeneous data integration, combined with the current status of the grid, a model of heterogeneous data integration is proposed to adapt the future Smart Grid. Based on XML and Ontology, combined with Cloud services, This model provides a good method to solve the heterogeneous problem from the syntax and sematics. Finally, SCADA(Supervisory Control and Data Acquisition) data is used to validate the model.

Keywords:
Computer science Ontology-based data integration Distributed computing Ontology Cloud computing SCADA Smart grid XML Semantic heterogeneity Grid Data integration Reliability (semiconductor) Grid computing Semantic grid Semantic data model Software engineering Database Semantic Web Information retrieval Power (physics) World Wide Web Engineering

Metrics

5
Cited By
0.80
FWCI (Field Weighted Citation Impact)
5
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Computational Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Power Systems and Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems
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