A grid computing based approach for probabilistic load flow analysis
Mohsin Ali, Zhao Yang Dong, Xue Li, P. Zhang · 2006
Grid computing is an advanced technique for collaboratively solving collaborative problems; those require secured data sharing, high performance computing (HPC) and large size of memory resources. This technology can be useful in many areas of power system analysis; those involve the use of computing resources. As continuing research towards grid computing based probabilistic reliability and security analysis, this paper presents a novel grid computing approach for probabilistic load flow analysis. A prototype system has been designed and developed in our research lab based on previously proposed grid computing framework. Experiments are performed on the prototype grid for probabilistic load flow analysis on the standard IEEE 30-bus system. Results show that this approach has given better accuracy, reliability and performance as compared to traditional computing techniques. (7 pages)