Title :
A New Maximum Power Point Tracking Algorithm for Solar Vehicle
Author :
Yuan, Yuan ; Liu Tian-qi ; Li Qian ; Zhou Xiao-yan
Author_Institution :
Coll. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China
Abstract :
To save energy, solar vehicle have come into being. Therefore, the study of photovoltaic maximum power point tracking is necessary. Traditional photovoltaic maximum power point tracking (MPPT) algorithm such as constant voltage algorithm can not track the maximum power point quickly and accurately. Operation voltage can not be adjusted rapidly with environmental changes when using conductance adding algorithm and disturbance observation algorithm. Both of these algorithms are prone to mistaken judgments and unstable output voltage. These shortcomings have resulted in inaccurate sampling. This article presents a new maximum power point tracking algorithm for solar vehicle. The algorithm use engineering model and a numerical method to track the maximum power point with variable step. The system performance was evaluated by modeling and simulation in Matlab/simulink. Simulation results demonstrate that the new algorithm is superior to current methods for finding the maximum power point, in terms of both speed and accuracy.
Keywords :
maximum power point trackers; numerical analysis; solar powered vehicles; Matlab-Simulink; conductance adding algorithm; disturbance observation algorithm; engineering model; numerical method; photovoltaic MPPT algorithm; photovoltaic maximum power point tracking algorithm; solar vehicle; unstable output voltage; Algorithm design and analysis; Mathematical model; Numerical models; Photovoltaic systems; Vehicles;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307192