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Power control method of wave power generation device based on improved bee colony algorithm

A technology of wave power generation and power control, applied in control/regulating systems, regulating electrical variables, instruments, etc., can solve problems such as slow convergence speed and limiting the performance of maximum power point tracking technology

Active Publication Date: 2019-08-02
GUANGDONG UNIV OF TECH
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AI Technical Summary

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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  • Power control method of wave power generation device based on improved bee colony algorithm
  • Power control method of wave power generation device based on improved bee colony algorithm
  • Power control method of wave power generation device based on improved bee colony algorithm

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Embodiment Construction

[0075] The present invention will be further described below in conjunction with specific embodiment:

[0076] 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:

[0077] 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:

[0078] S1-1: Conduct hydrodynamic analysis of the floater of the wave power generation system:

[0079] 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 actual ocean incide...

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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. The method comprises the following steps of Step 1, solving the linear motorelectromagnetic force control parameters capable of changing the average output power of the wave power generation device; Step 2, improving the artificial bee colony algorithm by a criss-cross algorithm; and Step 3, applying the artificial bee colony algorithm improved through the step 2 to the maximum power point tracking control of the wave power generation device; and obtaining the optimal motor electromagnetic force control parameter of the wave power generation device under different wave frequencies, so that the average output power of the wave power generation device reaches the maximum value, and the maximum power point tracking is realized. The advantages of high convergence speed and high global searching capability of a CABC algorithm are utilized; the optimal linear motor electromagnetic force control parameters of the wave power generation device at different wave frequencies can be fast obtained; the condition that Rg, kc and kl trap in local optimum is avoided; the average output power of the wave power generation device reaches a possibly great value; and the maximum power point tracking is 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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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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