Showing 2 results for Maximum Power Point Tracker
M. A. S. Masoum, M. Sarvi,
Volume 1, Issue 1 (1-2005)
Abstract
A new fuzzy maximum power point tracker (MPPT) for photovoltaic systems is
proposed. Fuzzy controller input parameters dI dP , ) dI dP ( D and variation of duty cycle
( DC D ) are used to generate the optimal MPPT converter duty cycle, such that solar panel
maximum power is generated under different operating conditions. A photovoltaic system
including a solar panel, a fuzzy MPP tracker and a resistive load is designed, simulated and
constructed. The fuzzy MPP tracker includes a buck dc/dc converter, fuzzy controller and
interfacing circuits. Theoretical and experimental results are used to indicate the advantages
and limitations of the proposed technique.
A. Gharaveisi, G. A. Heydari, Z. Yousofi,
Volume 10, Issue 3 (9-2014)
Abstract
In this paper, the Vector Based Swarm Optimization method is used for designing an optimal controller for the maximum power point tracker of a stand-alone PV System. The proposed algorithm is executed on vectors in a multi-dimension vector space. These vectors by appropriated orientation converge to a global optimum while the algorithm runs. The Remarkable point of the VBSO algorithm is how using completely random coefficients have good influence on algorithm performance. The generated energy is delivered to a boost converter including a resistive load. The duty cycle of the converter’s switch is determined in order to minimize generated power deviation, relative to PV voltage.
