典型文献
Composite Model-free Adaptive Predictive Control for Wind Power Generation Based on Full Wind Speed
文献摘要：
Aiming at the problem that the existing model-based control strategy cannot fully reflect stochastic fluctuations of wind power,this paper presents a model-free adaptive predic-tive controller(MFAPC)for variable pitch systems with speed disturbance suppression.First,an improved small-world neural network with topology optimization is used for 15-second-ahead forecasting of wind speed,whose rolling time is 1s,and the predicted value serves as a feedforward to obtain the early compensation variation of the pitch angle.Second,a function of the multi-objective optimization at full wind speed with optimal power point tracking and minimum control variation is constructed,and an advanced one-step adaptive predictive control algorithm for wind power is proposed based on the online estimation and prediction of the time-varying pseudo partial derivative(PPD).In addition,the compound MFAPC framework is synthetically obtained,whose closed-loop effectiveness is veri-fied by a BP-built pitch system based on the SCADA data with all working conditions.Robustness of the schemes has been analyzed in terms of parametric uncertainties and different operating conditions,and a detailed comparison is finally presented.The results show that the proposed MFAPC can not only effectively suppress the random disturbance of wind speed,but also meet the stability of wind power and the security of grid-connections for all operating conditions.
文献关键词：
中图分类号：
作者姓名：
Shuangxin Wang;Jianshen Li;Zhongsheng Hou;Qingye Meng;Meng Li
作者机构：
School of Mechanical,Electronic and Control Engineering,Beijing Jiaotong University,Beijing 100044,China;School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China
文献出处：
引用格式：
[1]Shuangxin Wang;Jianshen Li;Zhongsheng Hou;Qingye Meng;Meng Li-.Composite Model-free Adaptive Predictive Control for Wind Power Generation Based on Full Wind Speed)[J].中国电机工程学会电力与能源系统学报（英文版）,2022(06):1659-1669
A类：
MFAPC
B类：
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AB值：
0.613212
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