z-logo
open-access-imgOpen Access
Design‐based computational procedure for performance prediction and analysis of single‐phase self‐excited induction generator
Author(s) -
Murthy S. S.,
Singh Bhim,
Sandeep Vuddanti
Publication year - 2013
Publication title -
iet electric power applications
Language(s) - English
Resource type - Journals
ISSN - 1751-8679
DOI - 10.1049/iet-epa.2011.0360
Subject(s) - induction generator , generator (circuit theory) , control theory (sociology) , single phase , phase (matter) , variation (astronomy) , basis (linear algebra) , computer science , electromagnetic coil , engineering , mathematics , physics , mechanical engineering , power (physics) , electrical engineering , artificial intelligence , thermodynamics , control (management) , geometry , quantum mechanics , astrophysics , turbine
The study presents a design‐based computational procedure for determining the performance of a single‐phase two‐winding self‐excited induction generator (SEIG) taking the machine design details as the input data. The magnetisation characteristic that forms the basis of analysis is obtained using the B – H curve of the core material and by employing an appropriate curve‐fitting/regression technique that leads to obtain V g – I m variation from which V g – X m variation can be derived. The predicted parameters and performance characteristics of a single‐phase SEIG are compared with the corresponding experimental results. This procedure can be a powerful tool for improved design of such machines. Effects of variation of typical design parameters on performance are presented to demonstrate its utility.

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