Objective
Smart grid represents a significant new technology of improving the efficiency, reliability, and economics of the production, transmission, and distribution of electricity. It is crucial to exchange and use information for performing smart grid applications. However, in reality the exchange of information over multiple networks is unreliable, leading to unpredictable network Quality-of-Service and thus unreliable smart grid applications. What’s worse, there are massive data, including metering data and measurement data, structured or unstructured, making it challenging to exploit useful information. Hence, there is an urgent need to solve the research problem: how to coordinate multiple networks to reliably transmit data, and then manage ICT system resources to efficiently extract useful information for supporting smart grid applications?
TESTBED is a major interdisciplinary project that combines wisdoms in three academic disciplines - Electronics Engineering, Power Engineering and Computing Sciences, to address the aforesaid problem. The main focus is on improving the communication layer interoperability and the efficiency of data analytic. Regarding the communication layer interoperability, this project intends to develop and evaluate function-driven communication frameworks. Moreover, this project will develop and verify new data integration and analytic techniques for enhancing power grid operations. These developed frameworks and methods will be extensively tested and evaluated in 4 well-equipped Laboratories at HWU, EPRI, ICCS, and CAS. They will not only support the SGAM Framework, but also complement and enhance International Standards.
Overall, the main objective of this project is to coordinate the action of 5 Universities and 3 enterprises, working in the field of ICT and smart grid from both EU and China, to build and test sophisticated ICT, thereby facilitating the successful implementation of smart grid applications.
Fields of science
- natural sciencescomputer and information sciencesinternetinternet of things
- social scienceseconomics and businesseconomics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineeringpower engineeringelectric power transmission
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networks
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologycognitive radio
Programme(s)
Coordinator
DH1 3LE Durham
United Kingdom