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An Optimal Scheduling Method in Wind Farms for Reducing Mechanical Loss of Wind Turbines

A technology for optimizing dispatching of wind turbines, applied in the field of wind farms

Active Publication Date: 2015-12-09
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in actual operation, not all wind power can be fully connected to the grid.

Method used

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  • An Optimal Scheduling Method in Wind Farms for Reducing Mechanical Loss of Wind Turbines
  • An Optimal Scheduling Method in Wind Farms for Reducing Mechanical Loss of Wind Turbines
  • An Optimal Scheduling Method in Wind Farms for Reducing Mechanical Loss of Wind Turbines

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0124] Taking the data of a wind farm in northern China as an example for verification and analysis, the data includes the average measured value of wind farm power and average wind speed extracted from the SCADA (Supervisory Control And Data Acquisition) system every 15 minutes.

[0125] For a wind turbine with an annual average wind speed of v=7.5m / s, the annual wind speed distribution map of a certain wind farm is obtained according to the wind speed cumulative distribution function of the Rayleigh distribution, namely formula (2), as shown in image 3 shown. Taking the 1500kW wind turbine as the research object, assuming that the design life of the wind turbine is 20 years, using GHBladed software combined with the distribution of wind speed, draw the distribution of the number of cyclic loads on the blade root under a single load condition during the life of the wind turbine ,Such as Figure 4 shown.

[0126] Fatigue load spectrum is the basis for fatigue analysis of im...

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Abstract

The invention belongs to the technical field of wind power plants and discloses a wind power plant optimizing dispatching method for reducing mechanical loss of wind generating sets. The method includes the steps that firstly, numerical simulation is carried out under different wind conditions and different loading conditions to acquire the frequency of cyclic loading applied on different major parts under the different loading conditions; secondly, the cycle frequency generated when materials of the major parts are damaged under the different loading conditions is worked out, and then unit relative damage values of the major parts under the different loading conditions are acquired based on the linear cumulative damage theory; thirdly, optimizing calculation is carried out on combination and dispatching of wind generating sets in a wind power plant through the particle swarm optimization algorithm to obtain a combination of the wind generating sets in the wind power plant where mechanical damage of the major parts of the wind generating sets is smallest. According to the method, through reasonable combination and dispatching of the wind generating sets, output power is guaranteed, adverse effects of start, stop, switching and the like of the wind generating sets on the service life of the wind generating sets are reduced, and the operating cost of an electric system is reduced.

Description

[0001] Patent field [0002] 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 mechanical loss of wind turbines. Background technique [0003] 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 rapi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/38G06Q10/04G06Q50/06
CPCY02E10/763Y02E40/76Y04S10/545Y02E10/76Y02E40/70Y04S10/50
Inventor 张晋华刘永前韩爽徐强阎洁顾波
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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