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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2013(Vol.6, Issue:23)
Article Information:

A Novel Information Exchange Model in IT Infrastructure of Smart Grid

Mahshid Helali Moghadam and Nasser Mozayani
Corresponding Author:  Mahshid Helali Moghadam 
Submitted: February 06, 2013
Accepted: March 08, 2013
Published: January 20, 2014
Abstract:
Smart grid is a combination of power, communication and information infrastructures which support the evolution of conventional electrical power systems toward active, flexible and automatic troubleshooter energy networks. This study presents a novel architectural model based on holonic multi-agent system to establish powerful connection model for software entities in IT infrastructure of smart grid. The Information Technology (IT) infrastructure is one of the most important structural perspectives in smart power grid. Along with developments in power systems infrastructure, there are some challenges in smart grid from IT perspective such as data exchange problem which is dealing with high volume of information. So, it is necessary to define an effective IT architecture to solve data exchange problem in smart grid. This study presents a holonic approach which prevents from extra communications and unnecessary information exchange. The proposed model derives a benefit from holonic architecture features such as flexibility, high tolerability and scalability. In addition, it provides a secure communication model using localization of data in the smart grid domains and considering a communication interface for each domain. Finally, by applying the proposed model on the smart grid, the contribution of new software entities could be easily obtained.

Key words:  Holonic multi-agent system, information exchange model, IT infrastructure, smart grid, , ,
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Cite this Reference:
Mahshid Helali Moghadam and Nasser Mozayani, . A Novel Information Exchange Model in IT Infrastructure of Smart Grid. Research Journal of Applied Sciences, Engineering and Technology, (23): 4399-4404.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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