Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    Dynamic modeling and analysis of an isolated self excited induction generator driven by a wind turbine
    (2012) Sabhahit, N.S.; Gaonkar, D.N.
    This paper presents modeling, simulation and transient analysis of three phase self-excited induction generator (SEIG) driven by a wind turbine. Three phase self-excited induction generator is driven by a variable-speed prime mover such as a wind turbine for the clean alternative renewable energy in rural areas. Transients of machine self-excitation under three phase balanced load conditions are simulated using a Matlab/Simulink block diagram for constant, step change in wind speed and random variation in wind speed. © 2012 IEEE.
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    Correlation of wind speed and wind turbine reliability in system adequacy assessment
    (Institute of Electrical and Electronics Engineers Inc., 2018) Nguyen, N.; Almasabi, S.; Mitra, J.; Shenoy, B.B.
    This paper proposes a new method to evaluate the reliability of a power system in the presence of wind generation, considering the negative correlation of wind turbine reliability and wind speed. Although wind power integration supports the power system by increasing generation, its intermittent nature is a matter of concern. As the integration of wind power systems steadily increases, the reliability of such integrated systems needs re-evaluation. Besides the relationship between wind speed and wind power output, the relationship between wind speed and wind turbine failure rate also has an impact on reliability of a wind farm and needs to be given due consideration. The method proposed in this paper to evaluate system reliability is implemented using the sequential Monte Carlo simulation. The implementation is tested on the IEEE RTS-79 system with relevant modifications. The effectiveness of the proposed method is proved by comparing system reliability indexes with and without considering the impacts of correlation between wind turbine reliability and wind speed. © 2018 IEEE.