A new approach for real time voltage control using demand response in an automated distribution system
Alireza Zakariazadeh,
Omid Homaee,
Shahram Jadid and
Pierluigi Siano
Applied Energy, 2014, vol. 117, issue C, 157-166
Abstract:
The main goal of Distribution Automation (DA) is the real-time operation, usually without operator intervention, of distribution systems as a consequence of load demand or power generation variations and failure conditions in the distribution systems. As real time voltage control is known as a legacy system that can be fully activated by DA equipments, in this paper an analytical study is reported to demonstrate the effects of load curtailments on voltages profile in distribution network. A new method for real time voltage control, based on emergency demand response program, is also proposed. The proposed method uses the real-time measured data collected by RTUs and determines the tap changer condition and load curtailment required in order to maintain the distribution voltage profile. Emergency conditions include outages of generators and lines, and fluctuations due to unpredictable load demand and renewable generation. A novel voltage sensitivity matrix, based on performed voltage sensitivity analysis due to load participation in demand response program, is also proposed. In order to verify the effectiveness and robustness of the proposed control scheme, it is tested on a typical automated distribution network. Simulation results show that the proper selection of load curtailment can improve voltage profile and that, in emergency conditions, demand response is an effective way to keep the voltage in a permissible range.
Keywords: Voltage control; Distribution systems; Demand response; Remote terminal unit; On load tap changer (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (27)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261913009884
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:117:y:2014:i:c:p:157-166
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2013.12.004
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().