04791nam 2200505 450 991027094390332120211117210700.01-119-21497-11-119-21496-3(CKB)3840000000341009(Au-PeEL)EBL5261393(CaPaEBR)ebr11509261(OCoLC)1008773919(CaSebORM)9781119214953(MiAaPQ)EBC5261393(EXLCZ)99384000000034100920180305h20182018 uy 0engurcnu||||||||rdacontentrdamediardacarrierDynamic vulnerability assessment and intelligent control for sustainable power systems /edited by Professor Jose L. Rueda Torres, Professor Francisco Gonzalez-LongattFirst edition.Hoboken, New Jersey :Wiley :IEEE Press,2018.©20181 online resource (451 pages)1-119-21495-5 Includes bibliographical references at the end of each chapters and index.The 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.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, 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.Electric power distributionTestingSmart power gridsElectric power distributionTesting.Smart power grids.621.317Rueda Torres José L.1980-Gonzalez-Longatt Francisco1972-MiAaPQMiAaPQMiAaPQBOOK9910270943903321Dynamic vulnerability assessment and intelligent control for sustainable power systems2279413UNINA