Dynamic vulnerability assessment and intelligent control for sustainable power systems / (Record no. 74540)

000 -LEADER
fixed length control field 05395nam a2200589 i 4500
001 - CONTROL NUMBER
control field 8292906
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712205958.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180227s2018 mau ob 001 eng d
019 ## -
-- 1022117404
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119214984
-- electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic bk.
082 04 - CLASSIFICATION NUMBER
Call Number 621.31/7
245 00 - TITLE STATEMENT
Title Dynamic vulnerability assessment and intelligent control for sustainable power systems /
250 ## - EDITION STATEMENT
Edition statement First edition.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (448 pages).
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
Subject Electric power distribution
General subdivision Testing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
Subject Smart power grids.
700 1# - AUTHOR 2
Author 2 Rueda Torres, Jos�e L.,
700 1# - AUTHOR 2
Author 2 Gonzalez-Longatt, Francisco,
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8292906
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Hoboken, New Jersey :
-- Wiley,
-- 2018.
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [2018]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 0# -
-- Online resource; title from PDF title page (EBSCO, viewed February 13, 2018)

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