LEADER 03801nam 2200661 a 450 001 9910437776903321 005 20200520144314.0 010 $a9781283911207 010 $a1283911205 010 $a9783642326837 010 $a3642326838 024 7 $a10.1007/978-3-642-32683-7 035 $a(CKB)2670000000253953 035 $a(EBL)1082590 035 $a(OCoLC)810326910 035 $a(SSID)ssj0000770669 035 $a(PQKBManifestationID)11434651 035 $a(PQKBTitleCode)TC0000770669 035 $a(PQKBWorkID)10791675 035 $a(PQKB)10848859 035 $a(DE-He213)978-3-642-32683-7 035 $a(MiAaPQ)EBC1082590 035 $a(PPN)168322447 035 $a(EXLCZ)992670000000253953 100 $a20120716d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHigh performance computing in power and energy systems /$fSiddhartha Kumar Khaitan and Anshul Gupta (eds.) 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (386 p.) 225 0$aPower systems,$x1612-1287 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9783642448942 311 08$a3642448941 311 08$a9783642326820 311 08$a364232682X 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThe twin challenge of meeting global energy demands in the face of growing economies and populations and restricting greenhouse gas emissions is one of the most daunting ones that humanity has ever faced. Smart electrical generation and distribution infrastructure will play a crucial role in meeting these challenges. We would  need to develop capabilities to handle large volumes of data generated by the power system components like PMUs, DFRs and other data acquisition devices as well as by the capacity to process these data at high resolution via multi-scale and multi-period simulations, cascading and security analysis, interaction between hybrid systems (electric, transport, gas, oil, coal, etc.) and so on, to get meaningful information in real time to ensure a secure, reliable and stable power system grid. Advanced research on development and implementation of market-ready leading-edge high-speed enabling technologies and algorithms for solving real-time, dynamic, resource-critical problems will be required for dynamic security analysis targeted towards successful implementation of Smart Grid initiatives. This books aims to bring together some of the latest research developments as well as thoughts on the future research directions of the high performance computing applications in electric power systems planning, operations, security, markets, and grid integration of alternate sources of energy, etc. 410 0$aPower Systems,$x1612-1287 606 $aHigh performance computing 606 $aElectric power systems 615 0$aHigh performance computing. 615 0$aElectric power systems. 676 $a333.794 701 $aKhaitan$b Siddhartha Kumar$01758038 701 $aGupta$b Anshul$065764 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437776903321 996 $aHigh performance computing in power and energy systems$94196090 997 $aUNINA