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.

• 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