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|a Dynamic vulnerability assessment and intelligent control for sustainable power systems /
|c edited by Professor Jose L. Rueda Torres, Professor Francisco Gonzalez-Longatt.
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|a First edition.
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264 |
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|a Hoboken, NJ :
|b Wiley, IEEE Press,
|c 2018.
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|a 1 online resource
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|a Includes bibliographical references and index.
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|a 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.
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|a Print version record and CIP data provided by publisher.
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|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, 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.-Supplementary material, including Matlab codes, available through the companion website: www.wiley.com/go/rueda_torres/dynamic 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.
|
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
|
0 |
|a Electric power distribution
|x Testing.
|
650 |
|
0 |
|a Smart power grids.
|
650 |
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6 |
|a Réseaux électriques intelligents.
|
650 |
|
7 |
|a TECHNOLOGY & ENGINEERING
|x Mechanical.
|2 bisacsh
|
650 |
|
7 |
|a Smart power grids.
|2 fast
|0 (OCoLC)fst01792824
|
700 |
1 |
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|a Rueda Torres, José L.,
|d 1980-
|e author.
|
700 |
1 |
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|a Gonzalez-Longatt, Francisco,
|d 1972-
|e author.
|
776 |
0 |
8 |
|i Print version:
|t Dynamic vulnerability assessment and intelligent control for sustainable power systems.
|b First edition.
|d Hoboken, NJ : John Wiley & Sons, 2018
|z 9781119214953
|w (DLC) 2017042787
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|u https://learning.oreilly.com/library/view/~/9781119214953/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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