State Estimation in Smart Power Grids

Arefi, Ali & Haghifam, Mahmood-Reza (2012) State Estimation in Smart Power Grids. In Keyhani, Ali & Marwali, Muhammad (Eds.) Smart Power Grids 2011. Springer Berlin Heidelberg, pp. 439-478.

View at publisher

Abstract

In this chapter, the role of State Estimation (SE) in smart power grids is presented. The trend of SE error with respect to the increasing of the smart grids implementation investigated. The observability analysis as a prior task of SE is demonstrated and an analytical method to consider the impedance values of the branches is developed and discussed by examples. Since most principles of smart power grids are appropriate to distribution networks, the Distribution SE (DSE)considering load correlation is argued and illustrated by an example. The main features of smart grid SE, which is here named as “Smart Distributed SE” (SDSE), are discussed. Some characteristics of proposed SDES are distributed, hybrid, multi-micro grid and islanding support, Harmonic State Estimation (HSE), observability analysis and restore, error processing, and network parameter estimation. Distribution HSE (DHSE) and meter placement for SDSE are also presented.

Impact and interest:

1 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 68737
Item Type: Book Chapter
Keywords: Smart power grids
DOI: 10.1007/978-3-642-21578-0_14
ISBN: 9783642215773
ISSN: 1612-1287
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Springer-Verlag Berlin Heidelberg
Deposited On: 19 Mar 2014 02:54
Last Modified: 04 Dec 2015 02:32

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page