Distribution system state estimation-A step towards smart grid

Distribution System State Estimation - A 1 step towards Smart Grid

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...

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 ...

A Two-Step Distribution System State Estimator with Grid Constraints and Mixed Measurements

In this work we study the problem of State Estimation (SE) in large-scale, 3-phase coupled, unbalanced distribution systems. More specifically, we address the problem of including mixed real-time measurements, synchronized and unsynchronized, from phasor measurement units and smart meters, into existing solutions. We propose a computationally efficient twostep method to update a prior solution ...

Impact of Three-phase Pseudo-measurement Generation from Smart Meter Data on Distribution Grid State Estimation

This paper addresses the modelling of unknown power values, so-called pseudo-measurements, for the use in distribution grid state estimation. Historical load data from smart metering devices in private households and photovoltaic systems is analysed regarding phase distribution, reactive power and correlation between different generators. Based on this, methods for pseudomeasurement generation ...