Dynamic State Estimation for Power Systems under Unconventional Measurements

This book presents advanced Dynamic State Estimation (DSE) methodologies across three power system classes: quasi-steady power systems, synchronous-generator-based multi-machine systems and renewable energy microgrids. The work tackles unconventional measurements including time-delays, multi-rate measurements, event-triggered transmissions, outliers, and sensor saturations including complex factors. The nine-chapter structure progresses from fundamentals through specific applications to future research directions.

• Explore state estimation in power systems and challenges in large, complex grids with high renewable energy integration.
• Provides step-by-step derivations of theoretical results and case studies based on widely used power system benchmarks.
• Addresses two prominent research and technological aspects: soft computing for estimation and power electrical systems.
• Considers practical issues such as online application and computational efficiency in the estimator design,
• Reviews analysis techniques such as optimal estimation technique, completing the square method, stochastic analysis technique, and entropy theory

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