High Performance Computing (HPC)for Advanced Power System Studies

The paper presents a probabilistic study for advanced modern power systems based on a high performance computing (HPC)method supported by the Computational Shared Facility at the University of Manchester. The main outcome of this research is the contingency-based probabilistic load flow analysis of the WSCC 9 bus & IEEE 39 bus system as well as the use of parallel processing on HPC for running Monte Carlo simulations efficiently. With the advent of smart grid and widely application of renewable energy the modern interconnected power systems are becoming more complex and more uncertainties are produced. In order to obtain further information about the effect of the uncertainty for power systems, probabilistic studies are developed to perform the stability and security research. The High Performance Computing (HPC)is introduced as a powerful computation technique which enables large-scale computation tasks to be split to a number of small jobs which could be run simultaneously on parallel cores and get the results quickly.