Distributed Dynamic State Estimation for Smart Grid Transmission System

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...

Distribution System State Estimation - A 1 step towards Smart Grid

Dynamic Demand Management in an Airconditioner System by Frequency Control in Smart Grid Environment

As there is a rapid growth both in the number of power consumers and also the limitations energy resources, it is clearly accepted that the old version of power grid must change into smart grid from head to toe. One of the most important advantages of smart grid which makes it much more exclusive rather than other typical systems is the two-way connectivity between the utility and the costumers...

Dynamic Topology Adaptation and Distributed Estimation for Smart Grids

This paper presents new dynamic topology adaptation strategies for distributed estimation in smart grids systems. We propose a dynamic exhaustive search–based topology adaptation algorithm and a dynamic sparsity–inspired topology adaptation algorithm, which can exploit the topology of smart grids with poor–quality links and obtain performance gains. We incorporate an optimized combining rule, n...

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 ...