Distribution system state estimation-a 1 step towards smart grid

Ahmad, Fiaz and Rasool, Akhtar and Özsoy, Emre and Şabanoviç, Asif and Elitaş, Meltem (2017) Distribution system state estimation-a 1 step towards smart grid. (Accepted/In Press)

Warning
There is a more recent version of this item available.
[thumbnail of This is a RoMEO green journal -- author can archive pre-print (ie pre-refereeing)] PDF (This is a RoMEO green journal -- author can archive pre-print (ie pre-refereeing))
2017_RA448_Renewable_Energy_Review_DSSE_Review.pdf

Download (776kB)

Abstract

State estimation (SE) is well-established at the transmission system level of the electricity grid, where it has been in use for the last few decades and is a most vital component of energy management systems employed in the monitoring and control centers of electric transmission systems. However, its use for the monitoring and control of power distribution systems (DSs) has not yet been widely implemented because DSs have been majorly passive with uni-directional power flows. This scenario is now changing with the advent of smart grid, which is changing the nature of electric distribution networks by embracing more dispersed generation, demand responsive loads, and measurements devices with different data rates. Thus, the development of distribution system state estimation (DSSE) tool is inevitable for the implementation of protection, optimization, and control techniques, and various other features envisioned by the smart grid concept. Due to the inherent characteristics of DS different from those of transmission systems, transmission system state estimation (TSSE) is not applicable directly to distribution systems. This paper is an attempt to present the state-of-the-art on distribution system state estimation as an enabler function for smart grid features. It broadly reviews the development of DSSE, and challenges faced by its development, and various DSSE algorithms, as well as identifies some future research lines for DSSE
Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-4661 Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Mechatronics
Faculty of Engineering and Natural Sciences
Depositing User: Asif Şabanoviç
Date Deposited: 04 Aug 2017 10:44
Last Modified: 26 Apr 2022 09:45
URI: https://research.sabanciuniv.edu/id/eprint/32561

Available Versions of this Item

Actions (login required)

View Item
View Item