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|a 111921498X
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|a 9781119214960
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|a 1119214963
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|a 1119214971
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|a 1119214955
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|a 9781119214984
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|a 9781119214977
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|a TK3081
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| 100 |
1 |
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|a Rueda Torres, José L.
|e author
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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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| 250 |
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|a First edition
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| 260 |
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|a Hoboken, NJ
|b Wiley, IEEE Press
|c 2018
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| 300 |
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|a 1 online resource
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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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| 505 |
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|a Includes bibliographical references and index
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| 653 |
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|a Réseaux électriques intelligents
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| 653 |
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|a Electric power distribution / Testing
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| 653 |
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|a Smart power grids / fast
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| 653 |
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|a Smart power grids / http://id.loc.gov/authorities/subjects/sh2011003732
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| 653 |
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|a TECHNOLOGY & ENGINEERING / Mechanical / bisacsh
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| 700 |
1 |
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|a Gonzalez-Longatt, Francisco
|e author
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 028 |
5 |
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|a 10.1002/9781119214984
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| 776 |
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|z 9781119214984
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| 776 |
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|z 111921498X
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781119214953/?ar
|x Verlag
|3 Volltext
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|a 620
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|a 621.31/7
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| 520 |
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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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