z-logo
open-access-imgOpen Access
Intelligent Excitation Control system for Plant Generator
Author(s) -
T.R. Rangaswamy,
S. Lenin Prakash,
R. Rathika
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1008.0886s219
Subject(s) - exciter , ac power , excitation , generator (circuit theory) , computer science , control theory (sociology) , voltage , controller (irrigation) , rotor (electric) , power station , work (physics) , control (management) , power (physics) , electrical engineering , engineering , physics , artificial intelligence , mechanical engineering , agronomy , quantum mechanics , biology
Excitation framework in a Power plant assumes significant job to keep up the terminal voltage of the generator at a predetermined level by controlling the exciter voltage of the generator. The most elevated level of unwavering quality requests savvy excitation framework. A tale plan for excitation control of utilizing neural controller is proposed. The current control plans experience issues to adapt up to inborn time delay, nonlinearity because of vulnerability of the excitation procedure and regular changes load. For the present work due thought has been given to ∆VT Terminal Voltage, ω Rotor Speed, P Active Power and Q Reactive Power. The exhibitions of proposed plans are assessed by recreation and the outcomes are contrasted and traditional controllers utilizing constant information got from the warm power plant. The upsides of the proposed plan over the current controllers are featured. [1],[ 3],[5]

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom