Dynamic State Estimation for Power Systems under Unconventional Measurements

Introduction

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.

Key Topics

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.

Target Audience

This book is aimed at graduate students and researchers in electrical engineering, power systems, control systems, and signal processing.