Distributed Security Constrained Optimal Power Flow Integrated to a DSM Based Energy Management System for Real Time Power Systems Security Control

This paper presents the development of the distributed processing based Security Constrained Optimal Power Flow (SCOPF) and its integration to a Distributed Shared Memory Energy Management System (EMS) in order to enable real time power systems security control. The optimization problem is solved by the Interior Points Method and the security constraints are considered by the use of Benders Decomposition techniques. The SCOPF is initially parallelized using MPI and then integrated to the actual DSM based SCADA/EMS system SAGE, thoroughly used in the Brazilian power system including the National System Operation Center (CNOS). Results obtained on both the MPI and DSM platforms are presented for actual large size Brazilian power systems analyzed over a list of about a thousand contingencies. The results obtained demonstrate the high efficiency and applicability of the developed tool at Control Centers for real time security control. Topics of Interest. Cluster Computing, Large Scale Simulations in Engineering, Parallel and Distributed Computing.