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Wave power generation method based on simulated annealing particle swarm algorithm

A technology of particle swarm algorithm and wave power generation, which is applied to electrical components, circuit devices, AC network circuits, etc., and can solve problems such as premature convergence and particle swarm search

Inactive Publication Date: 2018-11-27
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the traditional particle swarm optimization algorithm, if a particle finds a current optimal position, other particles will quickly move closer to it, and the particle swarm cannot re-search in the solution space. If the position is a local optimum, the algorithm will fall into a local optimum. Excellent, with premature convergence

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  • Wave power generation method based on simulated annealing particle swarm algorithm
  • Wave power generation method based on simulated annealing particle swarm algorithm
  • Wave power generation method based on simulated annealing particle swarm algorithm

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Experimental program
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Effect test

Embodiment 1

[0083] Such as figure 1 As shown, a wave power generation method based on simulated annealing particle swarm algorithm, including the following steps:

[0084] S1: According to the direct drive wave power generation device, build a mathematical model of the wave power generation device;

[0085] S2: Analyze the output power of the mathematical model of the wave power generation device to obtain the wave energy capture rate;

[0086] S3: Calculate the simulated annealing particle swarm algorithm of the wave power generation device according to the wave energy capture rate;

[0087] S4: Simulate the simulated annealing particle swarm optimization algorithm, and complete the capture of the wave energy optimal solution of the simulated annealing particle swarm optimization algorithm.

[0088] More specifically, the step S1 includes the following steps:

[0089] S11: The direct drive wave power generation device includes floats, mass blocks, springs and generators. The motion eq...

Embodiment 2

[0151] In the specific implementation process, as shown in Table 1 and Table 2, the theoretical value and actual value and error captured by the two types of algorithms are obtained. It can be seen that compared with the traditional particle swarm optimization algorithm, the particle swarm algorithm based on simulated annealing is used. The energy capture rate is obviously improved, and the loss of wave energy is reduced.

[0152] Table 1 Wave energy capture rate using traditional particle swarm optimization algorithm

[0153]

[0154] Table 2 Wave energy capture rate using simulated annealing particle swarm algorithm

[0155]

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Abstract

The invention provides a wave power generation method based on a simulated annealing particle swarm algorithm. The method comprises the following steps of building a mathematical model of a wave powergeneration device according to the direct driving type wave power generation device; performing analysis through the output power of the mathematical model of the wave power generation device; performing calculation according to the wave energy capture rate to obtain the simulated annealing particle swarm algorithm; performing analogue simulation on the simulated annealing particle swarm algorithm; completing the wave energy optimum solution capturing of the simulated annealing particle swarm algorithm. The wave power generation method based on the simulated annealing particle swarm algorithmprovided by the invention has the advantages that the simulated annealing particle swarm algorithm is applied to the maximum power point tracking control of the wave power generation device, the particles are searched in a probability mode; the problem that a conventional particle swarm algorithm can easily generate local convergence; the global searching capability of the algorithm is improved;the flexibility of the searching process is improved; the algorithm has high maximum power tracking control speed and high wave energy capture rate.

Description

technical field [0001] The present invention relates to the technical field of wave power generation, and more specifically, to a wave power generation method based on simulated annealing particle swarm algorithm. Background technique [0002] my country's wave energy resources are very rich, and the large-scale development of wave power generation technology is of great significance to solving my country's energy shortage and protecting the ecological environment. The maximum wave energy capture and control is one of the key technologies for wave power generation research. Current wave power generation devices generally use Maximum power point tracking control technology (MPPT). With the development and maturity of intelligent optimization algorithm, the idea of ​​intelligent optimization algorithm combined with MPPT control can improve the adaptability of MPPT control strategy. Particle swarm optimization algorithm is an effective target optimization tool, which has been w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38
CPCH02J3/382H02J2203/20Y02A30/60
Inventor 吴丹琦杨俊华邹子君
Owner GUANGDONG UNIV OF TECH