Title :
Scalable monitoring and control of distributed generation using grid computing
Author :
Irving, M.R. ; Taylor, G.A. ; Huang, C. ; Hobson, P.R.
Author_Institution :
Brunel Univ., Uxbridge
Abstract :
In the UK and also worldwide it is certain that future transmission systems will operate with significantly larger proportions of large-scale distributed generation. Therefore, in order to operate and control future transmission systems securely and efficiently it will be necessary to monitor and control output levels and scheduling much more accurately when connecting such generation to a power system. Traditional operation and control methodologies that are currently employed at the transmission level are highly centralised and are therefore not necessarily best suited to support large-scale integration of distributed generation. This paper proposes the adoption of a relatively new technology ´grid computing´ that can provide a scalable, cost-effective and universal solution to the problems associated with the control and monitoring of future transmission systems with large-scale distributed generation.
Keywords :
distributed power generation; grid computing; large-scale systems; power system analysis computing; power system measurement; power transmission control; power transmission economics; grid computing; large-scale distributed generation; power system control; power system monitoring; power transmission systems; Control systems; Distributed control; Grid computing; Joining processes; Large-scale systems; Monitoring; Power generation; Power system control; Power systems; Processor scheduling; Distributed Generation Integration; Grid Computing; Monitoring and Control;
Conference_Titel :
Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International
Conference_Location :
Brighton
Print_ISBN :
978-1-905593-36-1
Electronic_ISBN :
978-1-905593-34-7
DOI :
10.1109/UPEC.2007.4469060