Title :
The Grid Computing Model - A New Computing Model For The Analysis and Computation Of Large-Scale Power System
Author :
Fang Hualiang ; Mao Chengxiong ; Zhang Buhan ; Lu Jiming
Author_Institution :
Dept. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
The present sequential and parallel computing can not satisfy the requirements of large-scale power system computation. This paper introduces a new solution called the grid computing model, which may greatly enhance total speed and efficiency by utilizing existing resources without incurring any additional hardware costs. In this paper, the proposed grid computing model is applied to optimal power flow (OPF). Multiple partition is implemented on OPF, and relations among tasks are tuned effectively. Two different OPF computation schemes are designed and run on the same "Lab Grid". To evaluate the performance of grid platform, the total speedup (TS) and the total efficiency (TE) are put forward in this paper. Different experiments are done on the different size "Lab Grid". The resulting data has shown that the grid model is capable of acquiring higher TS and TE. The grid model will become one of most effective means to solve electric power computation problems
Keywords :
grid computing; load flow; power system analysis computing; Lab Grid; electric power computation problems; grid computing model; large-scale power system; multiple partition; optimal power flow; total efficiency; total speedup; Concurrent computing; Costs; Grid computing; Hardware; Large-scale systems; Load flow; Parallel processing; Power system analysis computing; Power system modeling; Tellurium; Computing Platform; Grid Computing; Multiple Partition; Optimal Power Flow(OPF); Power System; Total Efficiency(TE); Total Speedup(TS);
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
DOI :
10.1109/TDC.2005.1547082
