000 05395nam a2200589 i 4500
001 8292906
003 IEEE
005 20220712205958.0
006 m o d
007 cr |n|||||||||
008 180227s2018 mau ob 001 eng d
010 _z 2017050856 (print)
019 _a1022117404
020 _a9781119214984
_qelectronic bk.
020 _z9781119214953
_qprint
020 _z9781119214977
_qelectronic bk.
020 _z1119214971
_qelectronic bk.
020 _z9781119214960
_qelectronic bk.
020 _z1119214963
_qelectronic bk.
020 _z111921498X
_qelectronic bk.
024 7 _a10.1002/9781119214984
_2doi
035 _a(CaBNVSL)mat08292906
035 _a(IDAMS)0b00006486c75dcb
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aTK3081
082 0 4 _a621.31/7
_223
245 0 0 _aDynamic vulnerability assessment and intelligent control for sustainable power systems /
_cedited by Professor Jose L. Rueda Torres, Professor Francisco Gonzalez-Longatt.
250 _aFirst edition.
264 1 _aHoboken, New Jersey :
_bWiley,
_c2018.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2018]
300 _a1 PDF (448 pages).
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _aThe role of wide area monitoring systems in dynamic vulnerability assessment -- Steady state security -- Probabilistic indicators for the assessment of reliability and security of future power systems -- An enhanced WAMS-based power system oscillation analysis approach -- Pattern-recognition-based approach for dynamic vulnerability status prediction -- Performance-indicator-based real-time vulnerability assessment -- Challenges ahead risk-based AC optimal power flow under uncertainty for smart, sustainable power systems -- Modelling preventive and corrective actions using linear formulations -- Model-based predictive control for damping electromechanical oscillations in power systems -- Voltage stability enhancement by computational intelligence methods -- Knowledge-based primary and optimization-based secondary control of multi-terminal HVDC grids -- Model based voltage/reactive control in sustainable distribution systems -- Multi-agent-based approach for intelligent control of reactive power injection in transmission systems -- Operation of distribution systems within secure limits using real-time model predictive control -- Enhancement of transmission system voltage stability through local control of distribution networks -- Electric power network splitting considering frequency dynamics and transmission overloads constraints -- High-speed transmission line protection based on empirical orthogonal functions -- Implementation of a real phasor based vulnerability assessment and control scheme : the ecuadorian wampac system.
506 _aRestricted to subscribers or individual electronic text purchasers.
520 _a Identifying, assessing, and mitigating electric power grid vulnerabilities is a growing focus in short-term operational planning of power systems. Through illustrated application, this important guide surveys state-of-the-art methodologies for the assessment and enhancement of power system security in short-term operational planning and real-time operation. The methodologies employ advanced methods from probabilistic theory, data mining, artificial intelligence, and optimization, to provide knowledge-based support for monitoring, control (preventive and corrective), and decision making tasks. Key features: . Introduces behavioural recognition in wide-area monitoring and security constrained optimal power flow for intelligent control and protection and optimal grid management.. Provides in-depth understanding of risk-based reliability and security assessment, dynamic vulnerability assessment methods, supported by the underpinning mathematics.. Develops expertise in mitigation techniques using intelligent protection and control, controlled islanding, model predictive control, and multi-agent and distributed control systems.. Illustrates implementation in smart grid and self-healing applications with examples and real-world experience from the WAMPAC (Wide Area Monitoring Protection and Control) scheme. Dynamic Vulnerability Assessment and Intelligent Control for Sustainable Power Systems is a valuable reference for postgraduate students and researchers in power system stability as well as practicing engineers working in power system dynamics, control, and network operation and planning.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 0 _aOnline resource; title from PDF title page (EBSCO, viewed February 13, 2018)
650 0 _aElectric power distribution
_xTesting.
_929248
650 0 _aSmart power grids.
_97197
655 4 _aElectronic books.
_93294
700 1 _aRueda Torres, Jos�e L.,
_d1980-
_eeditor.
_929249
700 1 _aGonzalez-Longatt, Francisco,
_d1972-
_eeditor.
_929250
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_929251
710 2 _aWiley,
_epublisher.
_929252
776 0 8 _iPrint version:
_z9781119214953
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8292906
942 _cEBK
999 _c74540
_d74540