000 04438nam a2200601 i 4500
001 9107328
003 IEEE
005 20220712210026.0
006 m o d
007 cr |n|||||||||
008 200729s2020 njua ob 001 eng d
010 _z 2020012766 (print)
019 _a1153087783
020 _a9781119602309
_qelectronic book
020 _z1119602319
_qelectronic book
020 _z9781119602286
_qelectronic book
020 _z1119602300
_qelectronic book
020 _z9781119602316
_qelectronic book
020 _z1119602289
_qelectronic book
020 _z9781119602293
_qhardcover
024 7 _a10.1002/9781119602286
_2doi
035 _a(CaBNVSL)mat09107328
035 _a(IDAMS)0b0000648cb834a5
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aTK1005
_b.A7389 2020eb
082 0 0 _a621.310285/63
_223
245 0 0 _aApplications of modern heuristic optimization methods in power and energy systems /
_cedited by Kwang Y. Lee, Zita A. Vale.
264 1 _aHoboken, New Jersey :
_bJohn Wiley & Sons, Inc.,
_c[2020]
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2020]
300 _a1 PDF (xl, 837 pages) :
_billustrations (some color).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aIEEE Press series on power engineering ;
_v96
504 _aIncludes bibliographical references and index.
505 0 _aOverview of applications in power and energy systems -- Power system planning and operation -- Power system and power plant control -- Distribution system -- Integration of renewable energy in smart grid -- Electricity markets.
506 _aRestricted to subscribers or individual electronic text purchasers.
520 _a"This book describes the use of metaheuristic applications in the analysis and design of electric power systems. This includes discussion of optimum energy and commitment of generation (nonrenewable & renewable) and load resources during day-to-day operations and control activities in regulated and competitive market structures, and transmission and distribution systems. Empathies are given to applications rather than theory and the organization of book are based on applications rather than tools. The book begins with an introduction and overview of applications in power and energy systems before moving on to planning and operation, control, and distribution. Further chapters cover the integration of reneweable energy and the smart grid and electricity markets before the editors provide their final conclusions. In the competitive electricity market along with automation, heuristic optimization methods are very useful. As electric utilities are trying to provide smart solutions with economical, technical (secure, stable and good power quality) and environmental goals, there are several challenging issues in the smart grid solutions such as, but not limited to, forecasting of load, price, ancillary services; penetration of new and renewable energy sources; bidding strategies of participants; power system planning & control; operating decisions under missing information; increased distributed generations and demand response in the electric market; tuning of controller parameters in varying operating conditions, etc. Risk management and financial management in electric sector are concerned with finding an ideal trade-off between maximizing the expected returns and minimizing the risks associated with these investments"--
_cProvided by publisher.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
650 0 _aElectric power systems
_xMathematical models.
_914006
650 0 _aHeuristic algorithms.
_94883
650 0 _aCombinatorial optimization.
_93389
655 4 _aElectronic books.
_93294
700 1 _aLee, Kwang Y.,
_eeditor.
_927279
700 1 _aVale, Zita,
_eeditor.
_929651
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_929652
710 2 _aWiley,
_epublisher.
_929653
776 0 8 _iPrint version:
_tApplication of modern heuristic optimization methods in power and energy systems
_dHoboken, New Jersey : Wiley-IEEE Press, [2020]
_z9781119602293
_w(DLC) 2020012765
830 0 _aIEEE Press series on power engineering ;
_v96.
_97125
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=9107328
942 _cEBK
999 _c74644
_d74644