000 06690nam a2201273 i 4500
001 5224654
003 IEEE
005 20200421114110.0
006 m o d
007 cr |n|||||||||
008 151221s2005 njua ob 001 eng d
020 _a9780471462927
_qelectronic
020 _z0471453250
_qpaper
020 _z9780471453253
_qprint
020 _z0471462926
_qelectronic
024 7 _a10.1002/0471462926
_2doi
035 _a(CaBNVSL)mat05224654
035 _a(IDAMS)0b00006481071371
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aTK1007
_b.S53 2003eb
082 0 4 _a621.319/1
_222
100 1 _aShahidehpour, M.,
_d1955-
245 1 0 _aCommunication and control in electric power systems :
_bapplications of parallel and distributed processing /
_cMohammad Shahidehpour, Yaoyu Wand.
264 1 _aPiscataway, New Jersey :
_bIEEE,
_cc2003.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2005]
300 _a1 PDF (xxi, 534 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
500 _a"IEEE Power Engineering Society, sponsor."
500 _a"A John Wiley & Sons, Inc., publication."
504 _aIncludes bibliographical references (p. 503-529) and index.
505 0 _aPreface. -- 1. Introduction. -- 2. Parallel and Distributed Processing of Power Systems. -- 3. Information System for Control Centers. -- 4. Common Information Model and Middleware for Integration. -- 5. Parallel and Distributed Load Flow Computation. -- 6. Parallel and Distributed Load Flow of Distribution Systems. -- 7. Parallel and Distributed State Estimation. -- 8. Distributed Power System Security Analysis. -- 9. Hierarchical and Distributed Control of Voltage/VAR. -- 10. Transmission Congestion Management Based on Multi-Agent Theory. -- 11. Integration, Control, and Operation of Distributed Generation. -- 12. Special Topics in Power System Information System. -- Appendix A. Example System Data. -- Appendix B. Measurement Data for Distributed State Estimation. -- Appendix C. IEEE-30 Bus System Data. -- Appendix D. Acronyms. -- Bibliography. -- Index.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aThe first extensive reference on these important techniques The restructuring of the electric utility industry has created the need for a mechanism that can effectively coordinate the various entities in a power market, enabling them to communicate efficiently and perform at an optimal level. Communication and Control in Electric Power Systems, the first resource to address its subject in an extended format, introduces parallel and distributed processing techniques as a compelling solution to this critical problem. Drawing on their years of experience in the industry, Mohammad Shahidehpour and Yaoyu Wang deliver comprehensive coverage of parallel and distributed processing techniques with a focus on power system optimization, control, and communication. The authors begin with theoretical background and an overview of the increasingly deregulated power market, then move quickly into the practical applications and implementations of these pivotal techniques. Chapters include: . Integrated Control Center Information. Parallel and Distributed Computation of Power Systems. Common Information Model and Middleware for Integration. Online Distributed Security Assessment and Control. Integration, Control, and Operation of Distributed Generation. Agent Theory and Power Systems Management. e-Commerce of Electricity A ready resource for both students and practitioners, Communication and Control in Electric Power Systems proves an ideal textbook for first-year graduate students in power engineering with an interest in computer communication systems and control center design. Designers, operators, planners, and researchers will likewise appreciate its unique contribution to the professional literature.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/21/2015.
650 0 _aElectric power systems
_xControl.
650 0 _aElectric power systems
_xCommunication systems.
650 0 _aElectric power systems
_xLoad dispatching.
655 0 _aElectronic books.
695 _aAdaptation model
695 _aAlgorithm design and analysis
695 _aBibliographies
695 _aBiological system modeling
695 _aBiomass
695 _aCompanies
695 _aComputational modeling
695 _aComputer integrated manufacturing
695 _aComputer network reliability
695 _aComputer networks
695 _aControl systems
695 _aData communication
695 _aDistributed power generation
695 _aDistributed processing
695 _aElectricity
695 _aEquations
695 _aFires
695 _aFuel cells
695 _aHardware
695 _aIEC standards
695 _aIndexes
695 _aInternet
695 _aLoad flow
695 _aLocal area networks
695 _aMathematical model
695 _aMeasurement uncertainty
695 _aMedical services
695 _aMonitoring
695 _aObject oriented modeling
695 _aOptimization
695 _aParallel machines
695 _aParallel processing
695 _aPollution measurement
695 _aPosition measurement
695 _aPower grids
695 _aPower industry
695 _aPower markets
695 _aPower measurement
695 _aPower system control
695 _aPower system dynamics
695 _aPower system reliability
695 _aPower system security
695 _aPower systems
695 _aProcess control
695 _aProgram processors
695 _aReactive power
695 _aReal time systems
695 _aRedundancy
695 _aReliability
695 _aSecurity
695 _aSoftware
695 _aState estimation
695 _aSubstations
695 _aTerminology
695 _aUnified modeling language
695 _aVoltage control
695 _aVoltage measurement
695 _aWind turbines
700 1 _aWang, Yaoyu.
710 2 _aJohn Wiley & Sons,
_epublisher.
710 2 _aIEEE Power Engineering Society.
710 2 _aIEEE Xplore (Online service),
_edistributor.
776 0 8 _iPrint version:
_z9780471453253
830 0 _aIEEE Press power engineering series
856 4 2 _3Abstract with links to resource
_uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5224654
942 _cEBK
999 _c59296
_d59296