Investigating Cloud-Powered Digital Twin Power Flow Research and Implementation

Author:

Kasiviswanathan Harish Ravali1ORCID,Ponnusamy Sivaram2ORCID,Swaminathan K.1ORCID

Affiliation:

1. University College of Engineering, Pattukkottai, India

2. Sandip University, Nashik, India

Abstract

This chapter presents a pioneering strategy for the advancement of digital twin technology, leveraging the capabilities of service-oriented architecture (SOA) and cloud computing platform (CS-DT). Through the utilization of SOA and cloud computing features, the newly developed digital twin solution not only exhibits improved dependability but also provides advantages such as compatibility across different platforms, streamlined deployment of lightweight applications, and simplified procedures for updates and maintenance. These merits effectively mitigate the drawbacks associated with conventional digital twin development. The proposed approach has been effectively put into practice within practical systems, yielding operational results spanning over a year, thus underscoring its substantial potential for broad adoption in diverse industries and domains.

Publisher

IGI Global

Reference15 articles.

1. Cloud computing based high-performance platform in enabling scalable services in power system

2. GuoyongZ.YalouL.GuangmingL. Y. L.ChangX.JianfengY. (2017). Rationality evaluation of schedule power flow data for large powergrid. In 2017 2nd International Conference on Power and Renewable Energy. ICPRE.

3. IbrahimHassan. (2012). Agent-based Message Oriented Middleware (MOM) for cross-platform communication in SOA systems. 2012 International Conference on Computer & Information Science (ICCIS).

4. Ibrahim, Hassan, & Balfagih. (2011). Agent-based MOM for interoperability cross-platform communication of SOA systems. 2011 International Symposium on Humanities, Science and Engineering Research, 40-45.

5. Transmission & Distribution Conference & Exposition;Kangetal,2009

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