DocumentCode :
3356804
Title :
P2P Computing Mode and Its Application in Flow Computation
Author :
Fang Hualiang ; Liu Junhua ; Chen Zhongwei
Author_Institution :
Coll. of Electr. Eng., Wuhan Univ., Wuhan
fYear :
2009
fDate :
27-31 March 2009
Firstpage :
1
Lastpage :
4
Abstract :
The P2P computing mode which may effectively overcome some shortages of the present sequential and parallel computing mode is applied to the large-scale power flow computation in this paper. The advantages of the P2P mode are analyzed and presented. The mathematic model and computing method is put forward and analyzed based on current-influx model. Based on current-influx method, power network is easily partitioned, and the relation among subtasks becomes weak. The mutual dispatch management in P2P are researched for the flow computation. The static and dynamic dispatch methods are adopted, which may flexibly adjust the topological structure of computing network. The dispatch arithmetic of the load-balance is studied, which may transfer high load to near computing node according to the total present computing instance. And the computing efficiency is enhanced totally. The proposed computing model and methods are implemented in IEEE 118-buses system. The computing results have approved the validity of this computing model.
Keywords :
load flow; peer-to-peer computing; power engineering computing; IEEE 118-buses system; P2P computing mode; current-influx method; dynamic dispatch methods; large-scale power flow computation; load-balance; mathematical model; mutual dispatch management; parallel computing mode; power network; sequential computing mode; static dispatch methods; topological structure; Arithmetic; Computer applications; Computer networks; Concurrent computing; Load flow; Mathematical model; Power engineering computing; Power system modeling; Power system simulation; Real time systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
Type :
conf
DOI :
10.1109/APPEEC.2009.4918582
Filename :
4918582
Link To Document :
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