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Design, analysis, and construction of a small scale self-excited induction generator for a wind energy application

Author

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  • Sawetsakulanond, B.
  • Kinnares, V.

Abstract

This paper proposes the design, analysis, and construction of a three phase, 0.75 kW, 220/380 V, 3.4/2.0 A, Δ/Y connected, 4 poles, SEIG (self-excited induction generator) based on empirical rules. The designed SEIG offers improved high efficiency and power quality. The design takes into consideration a skew effect and power quality. A 2D-FEA (2 dimension finite element analysis) is used to consider core loss, flux density and circuit parameters of the designed SEIG. The designed SEIG has been tested and compared with a standard SEIG under various operating conditions in terms of efficiency and power quality. Consideration of capacitance for the SEIG based on steady-state equivalent circuit model and a power flow diagram is also given. Research results can be guidelines and recommendations for development of small wind induction generators for effective electricity generation.

Suggested Citation

  • Sawetsakulanond, B. & Kinnares, V., 2010. "Design, analysis, and construction of a small scale self-excited induction generator for a wind energy application," Energy, Elsevier, vol. 35(12), pages 4975-4985.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:12:p:4975-4985
    DOI: 10.1016/j.energy.2010.08.027
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    Citations

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    Cited by:

    1. Derafshian, Mehdi & Amjady, Nima, 2015. "Optimal design of power system stabilizer for power systems including doubly fed induction generator wind turbines," Energy, Elsevier, vol. 84(C), pages 1-14.
    2. Li, Jianwei & Gee, Anthony M. & Zhang, Min & Yuan, Weijia, 2015. "Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model," Energy, Elsevier, vol. 86(C), pages 175-185.
    3. Chatterjee, Arunava & Roy, Krishna & Chatterjee, Debashis, 2014. "A Gravitational Search Algorithm (GSA) based Photo-Voltaic (PV) excitation control strategy for single phase operation of three phase wind-turbine coupled induction generator," Energy, Elsevier, vol. 74(C), pages 707-718.
    4. Pichan, Mohammad & Rastegar, Hasan & Monfared, Mohammad, 2013. "Two fuzzy-based direct power control strategies for doubly-fed induction generators in wind energy conversion systems," Energy, Elsevier, vol. 51(C), pages 154-162.
    5. Li, Yan & Dong, Yuxing & Zhang, Qiang & Cao, Lihua, 2014. "Design, analysis and implementation of a constant-voltage power generation system based on a novel memory machine," Energy, Elsevier, vol. 76(C), pages 875-883.
    6. Song, Zhanfeng & Shi, Tingna & Xia, Changliang & Chen, Wei, 2012. "A novel adaptive control scheme for dynamic performance improvement of DFIG-Based wind turbines," Energy, Elsevier, vol. 38(1), pages 104-117.

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