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Information Journal Paper

Title

ADAPTIVE CONTROL OF PITCH ANGLE OF WIND TURBINE USING HUMAN BRAIN MECHANISMS OF EMOTIONAL LEARNING

Pages

  11-18

Abstract

 The purpose of this paper is optimal location of distributed generation in electric distribution networks. Load uncertainty and desired voltage range has been modeled using fuzzy data theory. The objective function includes loss reduction, improvement of profile index and voltage stability index with their relevant constraints, voltage constraints and transmittable power from the line. Load variation has been shown for three different time durations (peak, off peak and average).PSO technique has been used to optimize the objective function while Max-Min method has been applied to select the answer. Results produced from the proposed model have been provided in 5 different scenarios on a 33 bus system of IEEE.

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    Cite

    APA: Copy

    HAYATDAVUDI, M., FARSHAD, M., NAJAFI, H.R., SEDAGHATI, R., & JOORABIAN, M.. (2013). ADAPTIVE CONTROL OF PITCH ANGLE OF WIND TURBINE USING HUMAN BRAIN MECHANISMS OF EMOTIONAL LEARNING. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ, 11(1), 11-18. SID. https://sid.ir/paper/228091/en

    Vancouver: Copy

    HAYATDAVUDI M., FARSHAD M., NAJAFI H.R., SEDAGHATI R., JOORABIAN M.. ADAPTIVE CONTROL OF PITCH ANGLE OF WIND TURBINE USING HUMAN BRAIN MECHANISMS OF EMOTIONAL LEARNING. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ[Internet]. 2013;11(1):11-18. Available from: https://sid.ir/paper/228091/en

    IEEE: Copy

    M. HAYATDAVUDI, M. FARSHAD, H.R. NAJAFI, R. SEDAGHATI, and M. JOORABIAN, “ADAPTIVE CONTROL OF PITCH ANGLE OF WIND TURBINE USING HUMAN BRAIN MECHANISMS OF EMOTIONAL LEARNING,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ, vol. 11, no. 1, pp. 11–18, 2013, [Online]. Available: https://sid.ir/paper/228091/en

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