Optimal scheduling method capable of reducing wake effect for inside of wind power plant

A wake effect and optimal scheduling technology, applied in data processing applications, instruments, forecasting, etc., can solve problems such as fatigue damage, lower downstream wind speed, and lower output power of wind turbines

Active Publication Date: 2016-12-07
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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AI Technical Summary

Problems solved by technology

[0003] Limited by land resources and investment in power collection systems, the distance between the units arranged in a certain way in large wind farms should not be too large, and the wake effect will be promin

Method used

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  • Optimal scheduling method capable of reducing wake effect for inside of wind power plant
  • Optimal scheduling method capable of reducing wake effect for inside of wind power plant
  • Optimal scheduling method capable of reducing wake effect for inside of wind power plant

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Embodiment 1

[0107] Taking the Horns Rev wind farm in Denmark as the research object, the wind conditions with incoming wind speeds of 8.5m / s and 12m / s and incoming wind direction of 270° were calculated and analyzed.

[0108] There are 80 wind turbines in the Danish Horns Rev wind farm, which are arranged in parallelograms with 8 rows and 10 columns. The distance between rows and columns, columns and columns is 7D, the distance in the northeast direction is 10.4D, and the distance in the southeast direction is 9.4D. D. The wind turbine is Vestas V80, with a single unit capacity of 2MW, a wind rotor diameter of 80m, and a hub center height of 70m. The entire wind farm is arranged as Figure 4 shown.

[0109] The specific calculation process is as follows:

[0110] (1) When the incoming wind direction is determined to be 270°, the order of the wind turbines facing the wind

[0111] According to step 11, the following calculation formula can be obtained:

[0112] l 0 :y=(tanα) x

[0113] ...

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Abstract

The invention discloses an optimal scheduling method capable of reducing the wake effect for the inside of a wind power plant. The optimal scheduling method comprises the following steps: 1, building a calculation model for the flowing relevance between wind generation sets in the wind power plant to calculate the lowing relevance between the wind generation sets in different wind directions; 2, building a wake distribution model of the single wind generation set under different operation working conditions and wake superposition models of the multiple wind generation sets under different operation working conditions; 3, obtaining a wake distribution model in the wind power plant according to a calculation method for the flowing relevance between the wind generation sets and the wake superposition models so as to calculate the wake distribution in the wind power plant; and 4, performing optimal scheduling on the operation working conditions of the wind generation sets in the wind power plant by using a multi-intelligent-body method via taking each wind generation set as an intelligent body. Therefore, the wake effect in the wind power plant is reduced, and the output efficiency is increased.

Description

technical field [0001] The invention belongs to the technical field of wind farms, and in particular relates to an optimal scheduling method in a wind farm for reducing the wake effect. Background technique [0002] Wind energy is the fastest growing and most valuable clean energy among renewable energy sources, and wind power is the main form of wind energy development and utilization. In recent years, my country's wind power industry has developed rapidly, but with the increase in the number of wind farms put into use, the scale of wind power grid connection has gradually increased, which has brought new challenges to the safe and stable operation of the power system. Since the current grid-connected wind farms generally have the characteristics of dynamic, random and large capacity, especially its randomness will affect the economic dispatch and safe operation of the power system. Therefore, while the global wind power industry is developing rapidly, it is a challenge fo...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 刘永前顾波韩爽李莉阎洁孙莹邵振州崔延松
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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