Development of self-adaptive P&O MPPT algorithm for wind generation systems with concentrated search area

In this project, Fast-Hybrid P&O (FHPO) and intelligent self-adaptive P&O (SA-PO) algorithms for wind generation systems is proposed. Both proposed algorithms concentrate the search area for the maximum power point (MPP) to 10% of optimal P-u curve without dividing it into modular operating sectors and prior-knowledge of perturbation step-sizes. Below 90% of optimal power, the FH-PO algorithm perturbs the rotor speed with fixed step-sizes to enhance convergence speed without redundant calculations of step-sizes at each point. 

At the remaining 10%, an adaptive step-size is employed to ensure low oscillations around the MPP. However, FH-PO algorithm doesn’t reflect the real required step-size on each point. The SA-PO algorithm utilizes the self-adaptive step-size routine which adeptly estimates the required step-size by applying the idea of optimal hypothetical circle. Although both proposed algorithms have smallest oscillations, the SA-PO algorithm yields smallest settling time and a 4.34% increase in system efficiency.

Keywords: Self-adaptive P&O, Fast-hybrid P&O, WECS, MPPT, Search area, Five-phase PMSG