DocumentCode :
3478113
Title :
Grid computing for load modeling
Author :
Sheng, Su ; Li, K.K. ; Xiangjun, Zeng ; Xinran, Li ; Feng, Chen
Author_Institution :
Coll. of Electr. & Inf. Eng., Changsha Inst. of Sci. & Technol., Hunan, China
Volume :
2
fYear :
2004
fDate :
5-8 April 2004
Firstpage :
602
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.
Keywords :
data handling; data loggers; grid computing; multi-agent systems; power system measurement; power system simulation; problem solving; wide area networks; WAMS; collaborative problem solving; computation capacity; data handling resources; disturbed data logging; grid computing infrastructure; measurement based load modeling; multiagent system; performance computing; power system simulation; scalability; wide area measurement system; Area measurement; Buildings; Collaborative work; Data handling; Grid computing; High performance computing; Load modeling; Power system modeling; Power system simulation; Wide area measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on
Print_ISBN :
0-7803-8237-4
Type :
conf
DOI :
10.1109/DRPT.2004.1338053
Filename :
1338053
Link To Document :
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