Neural Network Based Power Tracking Control of Wind Farm

被引：0

作者：

Liang, Liyuan ^{[1
]}

Song, Yongduan ^{[1
,2
,3
]}

Tan, Mi ^{[2
,3
]}

机构：

[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China

[2] Chongqing Univ, Minist Educ, Key Lab Dependable Serv Comp Cyber Phys Soc, Chongqing 400044, Peoples R China

[3] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS, PT II | 2017年 / 10262卷

关键词：

Wind farm; Unknown desired power profile; Neural network; Power tracking; SYSTEMS;

D O I：

10.1007/978-3-319-59081-3_7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper investigates the power tracking control problem of wind farm consisting of a large number of wind turbines, each of which is to deliver certain amount of power so that the combined power from the wind farm is able to meet the total power demand. For such power tracking control problem, the precise total demanded power is unavailable and there involve modeling uncertainties as well as external disturbances. To address the issue of unknown power trajectory, an analytical model is proposed to reconstruct the unknown desired power profile. Neural network based control scheme is developed to ensure stable power tracking.

引用

页码：52 / 59

页数：8

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