A Maximum Power Point Tracking Control Method Based on Rotor Speed PDF Shape for Wind Turbines
Source abstract
Abstract
Maximum power point tracking (MPPT) is the key to improve the conversion efficiency of wind energy. Concerning the current research on the MPPT control, based on the accurate tracking of rotor speed probability density function (PDF) shape for wind turbines, a novel MPPT algorithm was introduced in detail to improve the power capture and reduce mechanical damage for wind turbines. Considering the influence of wind speed distribution on the wind power generation system performance, this paper expounds a PDF shape control method of a stochastic system based on the Fokker–Planck–Kolmogorov (FPK) equation. Combining the conventional optimal torque (OT) control algorithm with the FPK equation solved by linear least-square (LLS) method, the novel MPPT control law is designed to make the PDF shape of rotor speed track the desired PDF shape as accurately as possible. The simulation verification of the novel MPPT method is carried out in the 1.5 MW wind turbine system. The results reveal that the novel MPPT method can improve the conversion efficiency of wind energy, reduce the frequent fluctuations of system variables, and significantly optimize the performance of wind power generation system.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Wind Turbine Control Systems · Wind Energy Research and Development · Microgrid Control and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Energy and Environmental Science, Shantou University, Shantou 515063, China
Key Laboratory of Intelligent Manufacturing Technology of MOE, Shantou University, Shantou 515063, China
Funding
National Natural Science Foundation of China
References (30)
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