Journal Article10.1016/J.RENENE.2007.08.007
Modeling and experimental analysis of a self-excited six-phase induction generator for stand-alone renewable energy generation
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TL;DR: In this article, a simple d-q model of a saturated multi-phase (six-phase) self-excited induction generator (SP-SEIG) was presented, and performance equations for this machine were given which utilize the saturated magnetizing inductance Lm=(λm/im) and its derivative (dLm/dim).
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About: This article is published in Renewable Energy. The article was published on 01 Jul 2008. The article focuses on the topics: Leakage inductance & Induction generator.
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References
Multi-phase induction machine drive research—a survey
TL;DR: In this article, the progress made in multi-phase induction machine drive research and development since its inception is reviewed, highlighting the current and future issues involved for the development of multiphase inductive machine drive technology for future application.
514
Improved Reliability in Solid-State AC Drives by Means of Multiple Independent Phase Drive Units
TL;DR: In this article, a thorough evaluation of (n - 1)-phase excitation performance characteristics of an n-phase squirrel-cage induction motor is presented, and the results support the basic soundness of the phase-redundancy concept.
381
Self-excited induction generator research—a survey
TL;DR: The authors in this article reviewed the progress made in self-excited induction generator (SEIG) research and development since its inception and highlighted the current and future issues involved in the development of induction generator technology for its large-scale future applications.
260
PWM-VSI inverter assisted stand-alone dual stator winding induction generator
Olorunfemi Ojo,Innocent E. Davidson +1 more
- 03 Oct 1999
TL;DR: This paper presents a novel usage of a dual stator winding, three-phase induction machine as a stand-alone generator with both controlled output load voltage magnitude and frequency and a detailed mathematical model of the system is confirmed to accurately predict dynamic and steady-state performance characteristics.
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