By Topic

An approach to secondary voltage control: a solution with local ANN controllers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Gubina, A. ; Fac. of Electr. Eng., Ljubljana Univ., Slovenia ; Gubina, F.

The paper presents a completely decentralized approach to secondary voltage control. Local secondary voltage controllers (SVQC) based on the artificial neural networks (ANN) are attached to each generating unit's excitation controller. For operation, the SVQC requires only local bus voltage and reactive power measurements obtained on the lines connected to that bus. The ANN SVQCs are trained on a large set of power system states. The optimal power flows are used as performance target in the ANN training process. The proposed secondary voltage control concept employing an artificial neural network was derived for the generators of the modified New England test system. The tests showed that voltage control kept the voltage profile close to the required one. Furthermore, it reduced the active and reactive power system losses, thus resembling the optimal power flow solution

Published in:

Electrotechnical Conference, 1998. MELECON 98., 9th Mediterranean  (Volume:2 )

Date of Conference:

18-20 May 1998