Abstract
At present, as the use of renewable energy has attracted the people’s attention, the solar power generation technology has become one of the effective ways to solve the crisis of energy and environment. In order to improve the efficiency of solar power systems, it is important to track the maximal power point (MPP). Quadratic interpolation is a method of searching optimization of a function using the sampling points function value within a certain range by means of a low interpolation polynomial approximation to the original objective function, and the polynomial optimization has been worked out and adopted to estimate the optimization target function. Based on perturbation and observation algorithm as well as the quadratic interpolation method which is introduced to narrow the scope of MPP, an improved maximum power point tracking method for PV systems is proposed. On the basis of perturbation and observation algorithm, the principle of quadratic interpolation control method is analyzed. The improved system is simulated by MATLAB. The simulation results show that the proposed method can search the maximum power point effectively and state the steady performance of the PV power systems.
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Acknowledgements
The project was supported by the National Scientific Fund of China (No.51365001) and North National University Scientific Fund (No.2011Y029).
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Fan, R., Zhang, X., Bai, S. (2015). A Maximum Power Point Tracking Method for Photovoltaic Systems. In: Wang, W. (eds) Proceedings of the Second International Conference on Mechatronics and Automatic Control. Lecture Notes in Electrical Engineering, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-319-13707-0_25
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DOI: https://doi.org/10.1007/978-3-319-13707-0_25
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