State Estimation within IED Based Smart Grid Using Kalman Estimates

Kalman Filters for Dynamic and Secure Smart Grid State Estimation

Combining dynamic state estimation methods such asKalmanfilterswith real-timedata generated/collected by digital meters such as phasor measurement units (PMU) can lead to advanced techniques for improving the quality of monitoring and controllability in smart grids. Classic Kalman filters achieve optimal performance with ideal systemmodels, which are usually hard to obtain in practice with unex...

Vision-Based Relative State Estimation Using the Unscented Kalman Filter

A new approach for spacecraft absolute attitude estimation based on the unscented Kalman filter (UKF) is extended to relative attitude estimation and navigation. This approach for nonlinear systems has faster convergence than the approach based on the standard extended Kalman filter (EKF) even with inaccurate initial conditions in attitude estimation and navigation problems. The filter formulat...

State Estimation and Volt-Var Control in Smart Distribution Grid

Distribution smart grid is very important part of the smart grid. Utilities use Distribution Management System (DMS) as supervisory control layer at the power system control centers. State Estimation (SE) and Volt-Var Control (VVC) are the prime applications of the DMS. In the modern DMS, SE is required for extensive monitoring and control of the entire distribution network. In the presence of ...

Requirements of State Estimation in Smart Distribution Grid

Advanced analytical applications for global controls and optimization of distribution systems have not been widely adopted by utilities because of lacking real time complete system models. As more Intelligent Electronic Devices (IED) with two-way communications are being employed, the amount of quasi real time data gathered at different rates by various automation systems is increasing. With ef...

Distribution System State Estimation - A 1 step towards Smart Grid