Data Mining and Probabilistic Power System Security

The book covers the fundamentals and application of recently developed methodologies for assessment and enhancement of power system security in short term operational planning (e.g. intra-day, day-ahead, week ahead, and monthly time horizons) and real-time operation. The methodologies employ advanced data mining and probabilistic theory algorithms to provide knowledge-based support for monitoring, control (preventive and corrective), and decision making tasks. Among the topics to be covered are big analytics for feature selection and extraction, computational intelligence for wide-area monitoring, protection and control, risk-based security assessment, model predictive control, dynamic vulnerability assessment, multi-agent and distributed control systems.