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Power control method of wave power generation device based on Fourier analysis and improved grey wolf algorithm

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

Active Publication Date: 2019-08-20
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

Method used

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  • Power control method of wave power generation device based on Fourier analysis and improved grey wolf algorithm
  • Power control method of wave power generation device based on Fourier analysis and improved grey wolf algorithm
  • Power control method of wave power generation device based on Fourier analysis and improved grey 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 wave, 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 actual...

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Abstract

The invention discloses a power control method of a wave power generation device based on Fourier analysis and an improved grey wolf algorithm. On the basis of reserving the most essential characteristic of a grey wolf optimization algorithm, a brand new elite wolf searching policy and a wolf pack integral unfolding policy are added, and an encirclement ring formingpolicy, a wolf pack prey searching mode and a wolf pack structure are optimized, so that the improved grey wolf algorithm can be prevented from falling into local optimum as a result of hydrodynamic force nonlinearity of a floater.A Fourier analysis method is introduced to decompose ocean incident waves and respond to moving parts of a motor, the corresponding optimum motor control parameters are solved for wave components within a floater capturing frequency range by means of the improved grey wolf algorithm, and the carried power is captured to the maximum extent, so that maximum power point tracing is achieved.

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 Applications(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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