A Power Control Method of Wave Power Device Based on Improved Bee Colony Algorithm

A technology of wave power generation and power control, applied in the direction of control/regulation system, regulation of electrical variables, instruments, etc., can solve the problems of limiting the technical performance of maximum power point tracking, slow convergence speed, etc., and achieve the effect of maximum power point tracking

Active Publication Date: 2021-08-24
GUANGDONG UNIV OF TECH
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Problems solved by technology

Traditional swarm intelligence algorithms include genetic algorithm, particle swarm algorithm, 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 further improvement of the performance of maximum power point tracking technology.

Method used

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  • A Power Control Method of Wave Power Device Based on Improved Bee Colony Algorithm
  • A Power Control Method of Wave Power Device Based on Improved Bee Colony Algorithm
  • A Power Control Method of Wave Power Device Based on Improved Bee Colony Algorithm

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Embodiment Construction

[0077] The present invention will be further described below in conjunction with specific embodiment:

[0078] see figure 1 As shown, the power control method of a wave power generation device based on the improved bee colony algorithm described in this embodiment includes the following steps:

[0079] 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:

[0080] S1-1: Conduct hydrodynamic analysis of the floater of the wave power generation system:

[0081] 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 ocean inciden...

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Abstract

The invention discloses a power control method of a wave power generation device based on an improved bee colony algorithm, which comprises the following steps: S1: calculating the electromagnetic force control parameters of a linear motor that can change the average output power of the wave power generation device; S2: using the vertical and horizontal cross algorithm Improve the artificial bee colony algorithm; S3: apply the artificial bee colony algorithm improved in step S2 to the maximum power point tracking control of the wave power generation device, and obtain the best motor electromagnetic force control parameters of the wave power generation device under different wave frequencies, Make the average output power of the wave power generation device reach the maximum value, so as to realize the maximum power point tracking. The invention utilizes the advantages of fast convergence speed and strong global search ability of the CABC algorithm, and can quickly obtain the best electromagnetic force control parameters of the linear motor of the wave power generation device under different wave frequencies, avoiding R g 、k c 、k l Trapped in a local optimum, the average output power of the wave power generation device can be as large as possible, and the maximum power point tracking can be realized.

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 an improved bee colony algorithm. Background technique [0002] In order to realize the maximum power point tracking control (Maximum Power Point Tracking, MPPT) of the 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 algorithm, etc. However, when these algorithms are solving complex optimization problems, their convergence speed is slow and they are easy to fall into local optimum, which limits the further improvement of the performance of maximum power point tracking technology. Therefore, the present invention proposes a control scheme based on Crisscross Optimized Artificial Bee Colony Algorithm (CABC). Contents o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05F1/67
CPCG05F1/67
Inventor 卢思灵杨俊华熊锋俊
Owner GUANGDONG UNIV OF TECH
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