000 03518nam a22004935i 4500
001 978-3-642-32683-7
003 DE-He213
005 20140220082853.0
007 cr nn 008mamaa
008 120913s2013 gw | s |||| 0|eng d
020 _a9783642326837
_9978-3-642-32683-7
024 7 _a10.1007/978-3-642-32683-7
_2doi
050 4 _aTK7881.15
072 7 _aTHRD
_2bicssc
072 7 _aTHRM
_2bicssc
072 7 _aTEC046000
_2bisacsh
082 0 4 _a621.317
_223
100 1 _aKhaitan, Siddhartha Kumar.
_eeditor.
245 1 0 _aHigh Performance Computing in Power and Energy Systems
_h[electronic resource] /
_cedited by Siddhartha Kumar Khaitan, Anshul Gupta.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXIV, 379 p. 164 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aPower Systems,
_x1612-1287
505 0 _aFrom the contents: High Performance Computing in Electrical Energy Systems Applications -- High Performance Computing for Power System Dynamic Simulation -- Distributed Parallel Power System Simulation -- A MAS-Based Cluster Computing Platform for Modern EMS -- High-Performance Computing for Real-Time Grid Analysis and Operation -- Dynamic Load Balancing and Scheduling for Parallel Power System Dynamic Contingency Analysis.
520 _aThe twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would  need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc.
650 0 _aEngineering.
650 0 _aProduction of electric energy or power.
650 0 _aEngineering economy.
650 1 4 _aEngineering.
650 2 4 _aPower Electronics, Electrical Machines and Networks.
650 2 4 _aEnergy Economics.
650 2 4 _aEnergy Systems.
700 1 _aGupta, Anshul.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642326820
830 0 _aPower Systems,
_x1612-1287
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-32683-7
912 _aZDB-2-ENE
999 _c97273
_d97273