Power Distribution System State Estimation (Energy Engineering)

Lourenço, Elizete Maria (EDT)/ Bosco Augusto London, João (EDT)

Institution of Engineering and Technology（2023/01発売）

• 製本 Hardcover:ハードカバー版／ページ数 387 p.
• 言語 ENG
• 商品コード 9781839532016
• DDC分類 621.3191

Full Description

State estimation is a key function for real-time operation and control of electrical power systems since its role is to provide a complete, coherent, and reliable network real-time model used to set up other real-time operation and control functions. In recent years it has extended its applications to monitoring active distribution networks with distributed energy resources. The inputs of a conventional state estimator are a redundant collection of real-time measurement, load and production forecasts and a mathematical model that relates these measurements to the complex nodal voltages, which are taken as the state variables of the system. The goal of state estimation is to adjust models so that they are closer to observed values and deliver better forecasts. In power systems, this is key to maintaining power quality and operating generation and storage units well.

This book, written by international authors from industry and universities, systematically addresses state estimation in power distribution systems. Chapters convey techniques for distribution system state estimation, such as classical methods, three-phase network modelling, power flow calculation, fast decoupled approaches and their new application via complex per unit normalization, the Bayesian method, and multiarea state estimation. Also, synchronized and non-synchronized measurements with different sample rates, real-time monitoring, and practical experiences of distribution state estimation are covered.

Researchers involved with electrical power and electrical distribution systems, professionals working in utilities, advanced students and PhD students will find this work essential reading.

Contents

Chapter 1: Introduction
Chapter 2: Real-time monitoring of distribution systems: Brazilian experience
Chapter 3: Practical experiences of distribution state estimation in real life
Chapter 4: Three-phase network model for steady-state analysis of distribution systems
Chapter 5: Current-based power flow calculation methods for distribution systems
Chapter 6: Classical methods applied to distribution system state estimation
Chapter 7: Fast-decoupled power flow method for active distribution systems
Chapter 8: Fast-decoupled distribution system state estimation
Chapter 9: Bayesian approach for distribution system state estimation
Chapter 10: Multiarea state estimation for distribution systems
Chapter 11: Including synchronized and non-synchronized measurements with different sample rates in distribution system state estimation
Chapter 12: State estimation for low voltage distribution grids
Chapter 13: Conclusions