Open AccessDesign‐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.