Wind power plant optimizing dispatching method for reducing mechanical loss of wind generating sets

A technology for wind turbines and optimal scheduling, applied in the field of wind farms

Active Publication Date: 2014-07-09
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Application Information

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Problems solved by technology

However, in actual operation, not all wind

Method used

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  • Wind power plant optimizing dispatching method for reducing mechanical loss of wind generating sets
  • Wind power plant optimizing dispatching method for reducing mechanical loss of wind generating sets
  • Wind power plant optimizing dispatching method for reducing mechanical loss of wind generating sets

Examples

Experimental program
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Embodiment 1

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

[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 GH Bladed software combined with the distribution of wind speed to draw the distribution of cyclic loads on the blade root under a single load condition during the life of the wind turbine Figure, such as Figure 4 shown.

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

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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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IPC IPC(8): H02J3/38G06Q10/04G06Q50/06
CPCY02E10/76Y02E40/70Y04S10/50
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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