Dynamic Simulation of Large-Scale Power Systems Using a Parallel Schur-Complement-Based Decomposition Method
Power system dynamic simulations are crucial for the operation of electric power systems as they provide important information on the dynamic evolution of the system after an occurring disturbance. This paper proposes a robust, accurate and efficient parallel algorithm based on the Schur complement...
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Veröffentlicht in: | IEEE transactions on parallel and distributed systems 2014-10, Vol.25 (10), p.2561-2570 |
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creator | Aristidou, Petros Fabozzi, Davide Van Cutsem, Thierry |
description | Power system dynamic simulations are crucial for the operation of electric power systems as they provide important information on the dynamic evolution of the system after an occurring disturbance. This paper proposes a robust, accurate and efficient parallel algorithm based on the Schur complement domain decomposition method. The algorithm provides numerical and computational acceleration of the procedure. Based on the shared-memory parallel programming model, a parallel implementation of the proposed algorithm is presented. The implementation is general, portable and scalable on inexpensive, shared-memory, multi-core machines. Two realistic test systems, a medium-scale and a large-scale, are used for performance evaluation of the proposed method. |
doi_str_mv | 10.1109/TPDS.2013.252 |
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This paper proposes a robust, accurate and efficient parallel algorithm based on the Schur complement domain decomposition method. The algorithm provides numerical and computational acceleration of the procedure. Based on the shared-memory parallel programming model, a parallel implementation of the proposed algorithm is presented. The implementation is general, portable and scalable on inexpensive, shared-memory, multi-core machines. 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(IEEE) Oct 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c401t-eba5dc9729468c9193e4a934b912ec335216ccf854d1433ca005b8a7ddc45b03</citedby><cites>FETCH-LOGICAL-c401t-eba5dc9729468c9193e4a934b912ec335216ccf854d1433ca005b8a7ddc45b03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6619387$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,776,780,792,881,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6619387$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Aristidou, Petros</creatorcontrib><creatorcontrib>Fabozzi, Davide</creatorcontrib><creatorcontrib>Van Cutsem, Thierry</creatorcontrib><title>Dynamic Simulation of Large-Scale Power Systems Using a Parallel Schur-Complement-Based Decomposition Method</title><title>IEEE transactions on parallel and distributed systems</title><addtitle>TPDS</addtitle><description>Power system dynamic simulations are crucial for the operation of electric power systems as they provide important information on the dynamic evolution of the system after an occurring disturbance. This paper proposes a robust, accurate and efficient parallel algorithm based on the Schur complement domain decomposition method. The algorithm provides numerical and computational acceleration of the procedure. Based on the shared-memory parallel programming model, a parallel implementation of the proposed algorithm is presented. The implementation is general, portable and scalable on inexpensive, shared-memory, multi-core machines. Two realistic test systems, a medium-scale and a large-scale, are used for performance evaluation of the proposed method.</description><subject>Acceleration</subject><subject>Algorithms</subject><subject>Complement</subject><subject>Computational modeling</subject><subject>Computer simulation</subject><subject>Domain decomposition methods</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Electric power generation</subject><subject>Electrical & electronics engineering</subject><subject>Engineering, computing & technology</subject><subject>Equations</subject><subject>Heuristic algorithms</subject><subject>Ingénierie électrique & électronique</subject><subject>Ingénierie, informatique & technologie</subject><subject>Mathematical model</subject><subject>Mathematical models</subject><subject>OpenMP</subject><subject>ower system dynamic simulation</subject><subject>Parallel algorithms</subject><subject>power system dynamic simulation</subject><subject>Power system dynamics</subject><subject>Schur complement</subject><subject>shared-memory</subject><issn>1045-9219</issn><issn>1558-2183</issn><issn>1558-2183</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkb1v2zAUxIWiBZqmHTN1IZClCx1-SuLY2vkCHNSAnJmgqGeHASU6pJTA_30kq-iQ6R0efnfA4bLsgpIFpURdbTerasEI5Qsm2afsjEpZYkZL_nnUREisGFVfs28pPRNChSTiLPOrY2daZ1Hl2sGb3oUOhR1am7gHXFnjAW3CG0RUHVMPbUKPyXV7ZNDGROM9eFTZpyHiZWgPHlroevzHJGjQCuz4CsmdIh-gfwrN9-zLzvgEP_7d82x7c71d3uH139v75e81toLQHkNtZGNVwZTIS6uo4iCM4qJWlIHlXDKaW7srpWio4NwaQmRdmqJprJA14ecZn2O9gz3oEGunX5kOxs168HttrK5BM5aXmsqc8cn1a3YdYngZIPW6dcmC96aDMCRNc0aI4kU-oZcf0OcwxG6sdAojBSskGyk8UzaGlCLs9CG61sSjpkRPg-lpMD0NptmJ_znzDgD-s3k-9i8L_g5Ld5CF</recordid><startdate>201410</startdate><enddate>201410</enddate><creator>Aristidou, Petros</creator><creator>Fabozzi, Davide</creator><creator>Van Cutsem, Thierry</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Acceleration Algorithms Complement Computational modeling Computer simulation Domain decomposition methods Dynamical systems Dynamics Electric power generation Electrical & electronics engineering Engineering, computing & technology Equations Heuristic algorithms Ingénierie électrique & électronique Ingénierie, informatique & technologie Mathematical model Mathematical models OpenMP ower system dynamic simulation Parallel algorithms power system dynamic simulation Power system dynamics Schur complement shared-memory |
title | Dynamic Simulation of Large-Scale Power Systems Using a Parallel Schur-Complement-Based Decomposition Method |
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