Extending the common information model for smart grids operational computations based on bus-branch models
by Antonio Celotto; Massimo De Falco; Mariacristina Gallo; Alfredo Vaccaro
International Journal of High Performance Systems Architecture (IJHPSA), Vol. 8, No. 1/2, 2018

Abstract: In the modern smart grids (SGs), the heterogeneity of elements makes their interoperability difficult. In order to facilitate the integration and the interaction between different types of elements, the International Electrotechnical Commission (IEC) has introduced some standards (e.g., CIM, SCL), aimed at defining a common language for the communication among the different elements of a power system. However, without a harmonisation of these standards, the development and the implementation of systems and applications will result in a noticeable amount of single engineering design schemes. An ontology-based approach could collect knowledge from different applications, bridging the gap of harmonisation among such models. This paper deals with the implementation of a CIM ontology based on a bus-branch model that aims to support the power system state estimation problem. Resulting ontology has been instantiated by using a case study on a real power flow problem and evaluated by applying some well-known metrics.

Online publication date: Fri, 17-Aug-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of High Performance Systems Architecture (IJHPSA):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com