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Wind farm double-layer active distribution control method of considering wind speed fluctuation and prediction errors

A technology of prediction error and wind speed fluctuation, which is applied in the field of double-layer active power distribution control of wind farms considering wind speed fluctuation and prediction error, to achieve the effect of enhanced robustness

Active Publication Date: 2017-09-12
NANJING UNIV OF SCI & TECH +1
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  • Wind farm double-layer active distribution control method of considering wind speed fluctuation and prediction errors
  • Wind farm double-layer active distribution control method of considering wind speed fluctuation and prediction errors
  • Wind farm double-layer active distribution control method of considering wind speed fluctuation and prediction errors

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Embodiment

[0037] A wind farm consisting of five 2MW wind turbines with the same configuration information is used as the research object. The specific parameters are shown in Table 1.

[0038] Table 1. Aerodynamic and mechanical parameters of 2MW direct-drive permanent magnet synchronous wind turbine

[0039]

[0040]

[0041] The initial start-stop status, predicted wind speed information, and target power value issued by the power grid to the wind farm are shown in Tables 2 and 3, respectively.

[0042] Table 2. Initial start-stop status and predicted wind speed information of each unit in the wind farm

[0043]

[0044] Table 3. Wind Farm Target Power Directive

[0045]

[0046] First, the wind farm active power control system model is built in MATLAB / Simulink, and the scheduling period is set to 10min, which is the simulation time T sim =60min. The lower power limit of the wind turbine is set according to 15% of its rated value, and the change rate of the unit power c...

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Abstract

The invention discloses a wind farm double-layer active distribution control method of considering wind speed fluctuation and prediction errors. The method is characterized in that on basis of an upper layer wind farm global optimization distribution strategy and real-time deviation data between the actual output of the wind farm on a PCC connecting point and a power grid scheduling instruction, active output instructions of various generator units are adjusted and corrected in a real-time manner, and then a wind farm double-layer active distribution control frame is provided. The wind farm double-layer active distribution control method is advantageous in that the wind farm active distribution strategy is completed, and good adaptability is provided under a wind condition of dramatic wind speed changing, and then the wind farm can follow a power generation plan issued by a power grid scheduling center accurately, and therefore the stability of the power generation of the wind farm is improved, and the robustness of the wind farm active control system is enhanced.

Description

technical field [0001] The invention belongs to the field of wind farm active power distribution, in particular to a wind farm double-layer active power distribution control method considering wind speed fluctuation and prediction error. Background technique [0002] The global optimal active power distribution strategy of a single-layer wind farm is based on the wind speed forecast information in the dispatch period and the wind farm power generation plan issued by the grid dispatch center, and comprehensively considers factors such as the forecast information, operating status and control characteristics of the units. Calculate the active power output command of each fan in the field during the dispatch period. However, when the wind farm wind speed prediction system predicts the wind speed, the average wind speed value is usually used to predict the wind speed in a period of time, so as to facilitate the estimation of wind energy. The random variability and unpredictabili...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/48H02J3/38
CPCH02J3/386H02J3/48Y02A30/00Y02E10/76
Inventor 殷明慧范颖沈春李志翔李冬运李群刘建坤周前陈兵汪成根卜京谢云云邹云陈哲张宁宇卫鹏
Owner NANJING UNIV OF SCI & TECH
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