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A Power Control Method of Wave Power Plant Based on Fourier Analysis and Improved Gray Wolf Algorithm

A technology of wave power generation and power control, which is applied in safety devices, ocean energy power generation, control algorithm types, etc., can solve problems such as slow convergence speed, local optimum, and limited performance of maximum power point tracking technology

Active Publication Date: 2021-07-09
GUANGDONG UNIV OF TECH
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Problems solved by technology

Traditional swarm intelligence algorithms include genetic algorithm, particle swarm optimization (PSO), etc. However, when these algorithms solve complex optimization problems, their convergence speed is slow and they are easy to fall into local optimum, which limits the performance of maximum power point tracking technology. further improvement

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  • A Power Control Method of Wave Power Plant Based on Fourier Analysis and Improved Gray Wolf Algorithm
  • A Power Control Method of Wave Power Plant Based on Fourier Analysis and Improved Gray Wolf Algorithm
  • A Power Control Method of Wave Power Plant Based on Fourier Analysis and Improved Gray Wolf Algorithm

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Embodiment Construction

[0094] The present invention will be further described below in conjunction with specific embodiment:

[0095] see figure 1 As shown, the power control method of a wave power generation device based on Fourier analysis and improved gray wolf algorithm described in this embodiment includes the following steps:

[0096] S1: Carry out the maximum power point tracking control analysis of the wave power generation device, and obtain the electromagnetic force control parameters of the linear motor that can change the average output power of the wave power generation device; the specific process is as follows:

[0097] S1-1: Conduct hydrodynamic analysis of the float of the wave power generation device:

[0098] The float moves up and down with the incident waves, and the linear motor is pulled by the mooring cable; assuming that the float is in an ideal fluid with a water depth of h, a coordinate system is established, and the water surface z(x,y)=0 when there is no wave; the actua...

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Abstract

The invention discloses a power control method for a wave power generation device based on Fourier analysis and an improved gray wolf algorithm. On the basis of retaining the most essential characteristics of the gray wolf optimization algorithm, a brand-new elite wolf search strategy and an overall wolf group expansion strategy are added to optimize the The encirclement formation strategy, the wolf pack search method and the wolf pack structure ensure that the improved grey wolf algorithm can avoid falling into local optimum due to the nonlinearity of float hydrodynamics. The Fourier analysis method is introduced to decompose the ocean incident wave and the response of the motor moving parts. For each wave component in the frequency range captured by the float, the improved gray wolf algorithm is used to solve the corresponding optimal motor control parameters to maximize the capture of the power carried by it. This enables maximum power point tracking.

Description

technical field [0001] The invention relates to the technical field of power control of wave power generation devices, in particular to a power control method of wave power generation devices based on Fourier analysis and improved gray wolf algorithm. Background technique [0002] In order to realize the maximum power point tracking control (Maximum Power Point Tracking, MPPT) of the wave power plant (Wave Energy Converter, WEC), scholars at home and abroad have proposed the application of artificial intelligence algorithms. Traditional swarm intelligence algorithms include genetic algorithm, particle swarm optimization (PSO), etc. However, when these algorithms solve complex optimization problems, their convergence speed is slow and they are easy to fall into local optimum, which limits the performance of maximum power point tracking technology. further improvement. Therefore, the present invention proposes a control scheme based on Fourier analysis and improved gray wolf ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F03B15/00F03B13/14
CPCF03B13/14F03B15/00F05B2270/70Y02E10/30
Inventor 卢思灵杨俊华熊锋俊
Owner GUANGDONG UNIV OF TECH
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