Incremental Volt/VAR control; Distributed Energy Resources; Distribution Networks; Local control
Abstract :
[en] This paper proposes an incremental Volt/VAR
control for voltage regulation in distribution networks
with high penetration of distributed energy resources. The
Volt/VAR controller coefficients are obtained by solving a
robust optimization problem, where reactive power is minimized.
The proposed optimization problem is solved using a
Successive Convex Approximation method. Communication
requirements are minimal and restricted to the offline stage
since the local controllers share the same gains. Numerical
studies on a 42-node low voltage network demonstrate the
improved performance of our local controllers against a
traditional static Volt/VAR control strategy.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Colot, Antonin ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Smart-Microgrids
Perotti, Elisabetta; UCB - University of Colorado Boulder [US-CO] > Department of Electrical, Computer, and Energy Engineering
Glavic, Mevludin ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Dall'Anese, Emiliano; Boston University [US-MA] > Department of Electrical and Computer Engineering
Language :
English
Title :
A Robust Incremental Volt/VAR Control for Distribution Networks
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.