LEADER 04791nam 2200505 450 001 9910270943903321 005 20211117210700.0 010 $a1-119-21497-1 010 $a1-119-21496-3 035 $a(CKB)3840000000341009 035 $a(Au-PeEL)EBL5261393 035 $a(CaPaEBR)ebr11509261 035 $a(OCoLC)1008773919 035 $a(CaSebORM)9781119214953 035 $a(MiAaPQ)EBC5261393 035 $a(EXLCZ)993840000000341009 100 $a20180305h20182018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aDynamic vulnerability assessment and intelligent control for sustainable power systems /$fedited by Professor Jose L. Rueda Torres, Professor Francisco Gonzalez-Longatt 205 $aFirst edition. 210 1$aHoboken, New Jersey :$cWiley :$cIEEE Press,$d2018. 210 4$dİ2018 215 $a1 online resource (451 pages) 311 $a1-119-21495-5 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $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. 330 $aIdentifying, 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, 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 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. 606 $aElectric power distribution$xTesting 606 $aSmart power grids 615 0$aElectric power distribution$xTesting. 615 0$aSmart power grids. 676 $a621.317 702 $aRueda Torres$b Jose? L.$f1980- 702 $aGonzalez-Longatt$b Francisco$f1972- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910270943903321 996 $aDynamic vulnerability assessment and intelligent control for sustainable power systems$92279413 997 $aUNINA