Title :
Kalman filter MPPT method for a solar inverter
Author :
Kang, Byung O. ; Park, Jae H.
Author_Institution :
Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
This paper proposes a new maximum power point tracking (MPPT) method for photovoltaic (PV) systems by using Kalman filter. A Perturbation & Observation (P&O) method is widely used presently due to its easy implementation and simplicity. The P&O usually requires of dithering scheme to reduce noise effects, but it slows the tracking response. Tracking speed is the most important factor on improving efficiency in frequent environmental changes. The proposed method is based on the Kalman filter. It shows the fast tracking performance on noisy conditions, so that enables to generate more power in rapid weather changes than the P&O. Simulation results are provided the comparison between the proposed method and P&O on time responses for conditions of sudden system restart and sudden irradiance change.
Keywords :
Kalman filters; invertors; maximum power point trackers; perturbation techniques; photovoltaic power systems; power filters; tracking filters; Kalman filter MPPT method; dithering scheme; maximum power point tracking response; noise effect reduction; perturbation and observation method; photovoltaic system; solar inverter; sudden irradiance change; tracking speed; Arrays; Kalman filters; Noise; Noise measurement; Photovoltaic systems; Simulation; Steady-state; dithering; kalman filter; maiximum power point (MPP); maximum power point tracking (MPPT); perturb and observe (P&O); photovoltaic (PV);
Conference_Titel :
Power and Energy Conference at Illinois (PECI), 2011 IEEE
Conference_Location :
Champaign, IL
Print_ISBN :
978-1-4244-8051-7
Electronic_ISBN :
978-1-4244-8050-0
DOI :
10.1109/PECI.2011.5740490
