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논문 기본 정보

저자정보
(Kunsan National Univ.) (Kunsan National Univ.)
저널정보
제어로봇시스템학회 제어로봇시스템학회 각 지부별 자료집 2014년 제어로봇시스템학회 전북제주지부 학술대회 논문집
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    초록·키워드

    In renewable energy resources, wind turbines are the most promising renewable energy source due to cost effective, clean energy source and better efficiency. The capacity of the output power depends upon the accuracy with which the peak power points are tracked by MPPT controller irrespective of what type of generator is used. Generally, duty ratio of the DC/DC converter is controlled in different ways to track maximum power point (MPP). There are so many MPPT algorithms for wind turbine system such as Perturb and Observe (P&O), Incremental Conductance (IC) and Torque control mechanisms. In this work, a comparative study through several experiments using different maximum power point tracking (MPPT) algorithms is presented. For efficient experiment, wind turbine emulator and DC-DC convertor from Lab-Volt 8134-20 training device are used. Furthermore, Arduino mega 2560 is used for monitoring and control of MPPT algorithms.

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      UCI(KEPA) : I410-ECN-0101-2016-569-001077642