Dynamic vulnerability assessment and intelligent control: for sustainable power systems

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. <p> <strong>Key features:</strong> <ul> <li>Introduces behavioural recognition in wide-area monitoring and security constrained optimal power flow for intelligent control and protection and optimal grid management.</li> <li>Provides in-depth understanding of risk-based reliability and security assessment, dynamic vulnerability as essment methods, supported by the underpinning mathematics.</li> <li>Develops expertise in mitigation techniques using intelligent protection and control, controlled islanding, model predictive control, and multi-agent and distributed control systems.</li> <li>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.</li> </ul> <br> <p> <em>Dynamic Vulnerability Assessment and Intelligent Control for Sustainable Power Systems</em> 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.