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International Journal of Engineering، جلد ۳۶، شماره ۶، صفحات ۱۰۹۹-۱۱۱۳
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عنوان انگلیسی Irradiation and Temperature Estimation with a New Extended Kalman Particle Filter for Maximum Power Point Tracking in Photovoltaic Systems
چکیده انگلیسی مقاله In this paper, a new method, based on the estimation of irradiation and temperature values, was proposed for Maximum Power Point Tracking (MPPT) in photovoltaic systems. The proposed estimation method is based on a new Extended Kalman Particle Filter (EKPF). Given that the basis of the proposed method is a particle filter, firstly, the estimation is performed with high accuracy, although the target system has severe nonlinearity; secondly, there is no limitation for the probability density functions of the measurement and process noise. This method works for Gaussian and non-Gaussian noises. To show the estimation accuracy, the proposed method will be compared with the common method based on extended Kalman filter (EKF) and both methods will be evaluated due to the root means square error criterion. Due to the accurate estimation, MPPT is performed with good performance. For validation, the proposed MPPT method was compared with the EKF method and the conventional incremental conductance (InC) method. The simulations show that the efficiency is improved from 0.1% to 1% compared to the EKF, and from 0.8% to 8.65% compared to the InC method, which shows the performance of the proposed MPPT method in noisy environments.
کلیدواژه‌های انگلیسی مقاله photovoltaic systems,Maximum Power Point Tracking Particle,Filter,Extended Kalman Filter,Estimation
نویسندگان مقاله M. Hooshmand |
Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran

H. Yaghobi |
Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran

M. Jazaeri |
Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran

نشانی اینترنتی https://www.ije.ir/article_169088_37665da22692f1ef476c2ffd8c86d31f.pdf
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