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

Pending Publication Date: 2022-02-15
JIANGSU UNIV OF SCI & TECH
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Problems solved by technology

[0005] Purpose of the invention: The present invention aims to provide a control method and system for offshore wind power devices based on FPA-BP neural network, which can solve the problems of difficult fault prediction of gearboxes in offshore wind power devices and instability of offshore wind power devices

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  • Offshore wind power device control method and system based on FPA-BP neural network
  • Offshore wind power device control method and system based on FPA-BP neural network
  • Offshore wind power device control method and system based on FPA-BP neural network

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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...

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Abstract

The invention discloses an offshore wind power device control method based on an FPA-BP neural network, and the method comprises the steps: (1) collecting and preprocessing the data of an offshore wind power device, and building a training sample; (2) establishing an FPA-BP neural network model of the oil temperature of a gearbox, and training a BP neural network model by taking the training sample as an input quantity of an improved flower pollination algorithm; (3) obtaining a residual feature vector between the output of the BP neural network model and the real-time oil temperature of the gearbox; (4) obtaining the state of the gearbox by using the residual feature vector and a random forest algorithm; and (5) controlling the offshore wind power device according to the state of the gearbox. The invention further discloses an offshore wind power device control system based on the FPA-BP neural network. The improved flower pollination algorithm is adopted to optimize the BP neural network, and the random forest algorithm is adopted to monitor the state of the marine gearbox; and a offshore wind turbine generator participates in system frequency modulation through virtual inertia control, so that the stability of the offshore wind power device is ensured.

Description

technical field [0001] The present invention relates to a method and system for controlling an offshore wind power device, in particular to a method and system for controlling an offshore wind power device based on an FPA-BP neural network. Background technique [0002] In the context of the depletion of land resources and the increasingly serious environmental pollution, the country focuses on maintaining energy security through the development and utilization of marine resources. Among many renewable energy sources, wind energy has attracted the attention of countries all over the world because of its high utilization rate and advantages of not occupying land resources. [0003] Among the large-scale grid-connected offshore wind turbines in the world, doubly-fed wind turbines account for more than 70% of the total wind turbines. Since offshore wind power is mostly connected to the grid through flexible DC transmission, offshore wind power cannot participate in system freq...

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06Q10/04G06Q10/00G06N3/00G06N3/04G06N3/08G06Q50/06
CPCG06Q10/04G06Q10/20G06N3/006G06N3/084G06Q50/06G06N3/045Y02B10/30
Inventor李泰成梁王乐秋孙苏南赵黎纪志成曾庆军钱慧敏
OwnerJIANGSU UNIV OF SCI & TECH