Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12642
Title: Grid computing for load modeling
Authors: Su, S
Li, KK
Zeng, XJ
Li, X
Chen, F
Keywords: Data handling
Data loggers
Grid computing
Multi-agent systems
Power system measurement
Power system simulation
Problem solving
Wide area networks
Issue Date: 2004
Publisher: IEEE
Source: Proceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, 2004 : (DRPT 2004), 5-8 April 2004, v. 2, p. 602-605 How to cite?
Abstract: Computing grid are an approach for building dynamically constructed collaborative problem solving environment using geographically and organizationally dispersed high performance computing and data handling resources. It provides a novel computation mode for power system simulation and modeling. This paper put out a grid computing infrastructure for load modeling, thus to provide the computation capacity needed in measurement based load modeling with disturbed data logged by WAMS (wide area measurement system). The infrastructure is practical and is of good scalability, highly automation, and huge computation capacity.
URI: http://hdl.handle.net/10397/12642
ISBN: 0-7803-8237-4
DOI: 10.1109/DRPT.2004.1338053
Appears in Collections:Conference Paper

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