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Nonlinear Controller Design for Noise Reduction and State Estimation in the Photovoltaic Power Generation System  

Kim, Il-Song (충주대 전기공학과)
Publication Information
The Transactions of the Korean Institute of Power Electronics / v.14, no.4, 2009 , pp. 261-267 More about this Journal
Abstract
Due to the measurement noise or system noise, the performance of photovoltaic power generation system can be degraded. If this noise is contained in the solar array voltage measurement signal, the correct operation of the maximum power point tracker can not be guaranteed. The application of the extended Kalman filter to the photovoltaic system can obtain enhanced states estimation result. The Kalman filter provides a recursive solution to optimally estimate from random noise signals. Additionally, as a consequence of Kalman filter, the unmeasurable state such as inductor current can be estimated without current sensor. The methods for system modeling and extended Kalman filter design are presented and the experimental results verify the validity of the proposed system.
Keywords
Photovoltaic system; Maximum power point tracker; Kalman filter; Extended Kalman filter;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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