NDLI: Distributed security constrained optimal power flow integrated to a dsm based energy management system for real time power systems security control.

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Distributed security constrained optimal power flow integrated to a dsm based energy management system for real time power systems security control.

Content Provider	CiteSeerX
Author	Filho, Ayru L. Oliveira Alves, Juliana M. T. Borges, Carmen L. T.
Abstract	Abstract. 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.
File Format	PDF
Access Restriction	Open
Subject Keyword	Real Time Security Control Dsm Platform High Efficiency Security Constraint Optimization Problem Control Center Actual Dsm Scada Em System Sage Shared Memory Energy Management System Developed Tool Interior Point Method Bender Decomposition Technique National System Operation Center Thousand Contingency Security Constrained Optimal Power Flow Energy Management System Brazilian Power System
Content Type	Text
Resource Type	Article

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