Irradiation and Temperature Estimation with a New Extended Kalman Particle Filter for Maximum Power Point Tracking in Photovoltaic Systems

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 method is Extended Kalman Particle Filter (EKPF). Given that basis particle filter, firstly, performed with high accuracy, although target system has severe nonlinearity; secondly, there no limitation probability density functions measurement process noise. This works Gaussian non-Gaussian noises. To show will be compared common extended filter (EKF) both methods evaluated due to root means square error criterion. Due accurate estimation, MPPT good performance. For validation, EKF conventional incremental conductance (InC) method. simulations efficiency improved from 0.1% 1% EKF, 0.8% 8.65% InC which shows performance noisy environments.