The Grid Computing Model - A New Computing Model For The Analysis and Computation Of Large-Scale Power System

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