Model reduction has become an important issue in the analysis of elect
ric power systems, due to their constantly increasing size and complex
ity. In this paper we present a decomposition algorithm which is capab
le of reducing the number of equations in the model, while preserving
the potential for parallel computation. A variety of experimental resu
lts are provided to illustrate the performance of the algorithm.