Power System Zone Partitioning Based on Transmission Congestion Identification Using an Improved Spectral Clustering Algorithm

The ever-expanding power system is developed into an interconnected pattern of grids. Zone partitioning essential technique for the operation and management such system. Owing to transmission capacity limitation, congestion may occur with a regional influence on If considered when decomposed several regions, consumption structure can be optimized planning more reasonable. At same time, resources properly allocated safety improved. In this paper, we propose zone method where potential congested branches are identified spectral clustering algorithm We transform problem graph segmentation by constructing undirected weighted similarities between buses measured transfer distribution factor (PTDF) corresponding branches. results show that locational marginal price (LMP) in similar, which represent signals provide auxiliary decisions.