Title :
Development of a grid computing platform for electric power system applications
Author :
Huang, Qi ; Qin, Kaiyu ; Wang, Wenyong
Author_Institution :
Sch. of Autom., UESTC, Chengdu
Abstract :
This paper describes a platform developed for the application of grid computing in electric power system. Two applications are implemented. One is the distributed monitoring and control implemented by using virtual database technology. Another is the distributed parallel computing of power system. This paper describes the whole infrastructure of the system. All the computing devices in the electric power system can be wrapped into integrity to realize distributed monitoring and control to provide support for the operation and control of electric power system. While the computers of high performance and tightly interconnected are organized by resource pooling to form a computing pool, to facilitate the distributed parallel computation. The paper first discusses the visualization of the resource, and the application of virtual database technology to realize the distributed data access and control. Then the structure for realizing the distributed parallel computing, especially the computing pool, resource and task scheduling, solution of differential algebraic equation and graph partition, is described. Finally the test benches built at laboratory are described and the test results are presented. The test results shows that the developed platform can provide comparable performance to other solutions such as MPI, and can be further improved
Keywords :
distributed control; grid computing; parallel processing; power system analysis computing; power system control; differential algebraic equation; distributed control; distributed data access; distributed monitoring; distributed parallel computing; electric power system control; graph partition; grid computing platform; task scheduling; virtual database technology; Concurrent computing; Control systems; Distributed computing; Distributed control; Distributed databases; Grid computing; High performance computing; Parallel processing; Power systems; Testing; Distributed Processing; Electric Power System; Grid Computing; Monitoring and Control; Parallel Computing;
Conference_Titel :
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
DOI :
10.1109/PES.2006.1709127