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Electric power system based on wave power generation

A technology of ocean wave power generation and power system, applied in the field of power system

Inactive Publication Date: 2014-11-26
SOUTHEAST UNIV
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Problems solved by technology

[0004] The current wave power generation system used in engineering can supply power to a small number of low-demand loads in occasions with low requirements, but the traditional wave power generation system cannot meet the requirements for high stability, reliability and safety. asked for

Method used

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  • Electric power system based on wave power generation
  • Electric power system based on wave power generation
  • Electric power system based on wave power generation

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings.

[0039] Such as figure 1 Shown is a power system based on ocean wave power generation. The voltage source converter DC transmission technology is used to transmit the electric energy generated by ocean wave power generation over a long distance. The SVC subsynchronous damping controller is used to solve the problem of subsynchronous oscillation. Neural network model for power generation prediction; among them, the neural network model for sea wave power generation prediction adopts normalization algorithm, S-type tangent function, S-type logarithmic function and anti-normalization algorithm, and the voltage source converter direct current transmission technology adopts VSC- VDC discrete control model and unbalanced algorithm, SVC subsynchronous damping controller adopts improved biogeographical optimization algorithm, specifically:

[0040] (1) Voltage source converter...

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Abstract

The invention discloses an electric power system based on wave power generation. The electric power system mainly comprises a wave power generation power prediction neural network model, a voltage source converter direct-current transmission technology (VSC-VDC) and a static var compensator (SVC) subsynchronous damping controller, wherein a normalization algorithm, an S-type tangent function, an S-type logarithmic function and an inverse normalization algorithm are adopted for the wave power generation power prediction neural network model, a VSC-VDC discrete control model and an unbalance algorithm are adopted for the voltage source converter direct-current transmission technology (VSC-VDC), and an improved biogeography optimization algorithm is adopted for the static var compensator (SVC) subsynchronous damping controller. According to the system, the wave power generation power prediction neural network model, the voltage source converter direct-current transmission technology (VSC-VDC) and the static var compensator (SVC) subsynchronous damping controller are combined together, and thus running performance and intelligent level of the electric power system based on wave power generation are improved.

Description

technical field [0001] The invention relates to a power system based on ocean wave power generation, which can stably, safely and reliably transmit the electric energy generated by ocean wave power generation over long distances. Background technique [0002] Wave energy is a clean and renewable energy. Compared with wind energy and solar energy, it has less variability per hour, better predictability, and higher energy density. Studies have shown that it is conservatively estimated that the wave energy that is relatively easy to convert near the global coastline can provide 2.5TW of electricity for human beings, which can solve 10% of the world's electricity consumption, and has broad development prospects. [0003] The current wave power generation lacks an effective power prediction model, so it does not have a good predictive ability for the random and uncertain power output of wave power generation, so it cannot effectively determine the access load according to the pow...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/36
CPCY02E60/60
Inventor 胡敏强徐鸣飞余海涛黄磊
Owner SOUTHEAST UNIV
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