FPGA-based maximum power tracking controller of wind power system

Abstract

The invention relates to an FPGA-based maximum power tracking controller of a wind power system, comprising a sliding-mode extremum searching module and a fuzzy parameter setting module. Parameters ofthe sliding-mode extremum searching module are adjusted according to the output of the fuzzy parameter setting module; the sliding-mode extremum searching module comprises a comparison unit, a switching unit and two integrators; the fuzzy parameter setting module comprises a fuzzy controller; and power track errors and a wind speed are used as the input of the fuzzy controller. Small size, flexible design and high controller response speed of the controller are achieved because the maximum power tracking controller for searching a sliding-mode extremum of the wind power system is realized onan FPGA chip; parameters of a blower are unnecessary to know, and accurately measuring the wind speed and calculating the differential coefficient of the output power of the wind power system are notneeded, thereby high tracking precision and stability are achieved.

Description

technical field [0001] The invention relates to a controller, in particular to an FPGA-based maximum power tracking controller for a wind power system. Background technique [0002] Wind energy is a clean, widely distributed and fastest-growing renewable energy, and it is also a renewable energy with large-scale development and commercial development prospects. However, wind energy is also a random, explosive, and unstable energy source. In order to improve the utilization rate of wind energy, it is necessary to control the operation of the fan according to the change of wind speed to capture the maximum power. [0003] At present, the conventional maximum power tracking control methods for wind power systems mainly include Tip Speed ​​Ratio (TSR) control, Power Signal Feedback (PSF) control, Hill Climb Searching (HCS) and so on. TSR control requires real-time and accurate measurement of wind speed, which is difficult to measure accurately in actual control due to the rando...

AI Technical Summary

Problems solved by technology

TSR control requires real-time and accurate measurement of wind speed, which is difficult to accurately measure in actual control due to the randomness and variability of wind speed

PSF control uses the characteristics of the fan and the power flow characteristics of the doubly-fed machine to realize the active power control of the stator, thereby realizing the adjustment of the generator speed; this method does not need to measure the wind speed, but the characteristics of the fan need to be obtained through a large number of experimental tests

HCS measures the fan speed and output power in real time, and uses mathematical optimization method to track the maximum output power. This method avoids the measurement of wind speed, but requires real-time measurement and calculation of the differential of output power and rotational speed. stable, limiting its dynamic performance

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