Offshore wind power device control method and system based on FPA-BP neural network
A technology of FPA-BP and BP neural network, which is applied in the field of offshore wind power device control based on FPA-BP neural network, can solve problems such as difficult fault prediction of gearboxes and instability of offshore wind power devices, and achieve accurate state monitoring and fault prediction, Ensure stable effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0057] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.
[0058] The principle of virtual inertia adjustment in offshore wind power installations is as follows: figure 1 shown. Offshore wind power installations consist of wind rotors, gearboxes, doubly-fed induction motors (DFIG), machine-side converters, grid-side converters, power grids, and virtual inertia control systems. Among them, the virtual inertia control system includes PWM control, current inner loop control, active power outer loop control, machine terminal voltage outer loop control, DC voltage outer loop control, reactive power outer loop control, phase-locked loop (PLL), virtual inertia control.
[0059] Wind turbines capture wind energy through their rotors, and the low-speed shaft transfers the energy to a gearbox, which picks up speed and spins the high-speed shaft. The high-speed shaft turns the doubly-fed induction motor to ge...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


