|Table of Contents|

Almost Disturbance for Variable-Pitch Wind TurbineSystem Under Variable Wind Speeds(PDF)

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2019年03期
Page:
66-
Research Field:
电气与电子工程
Publishing date:

Info

Title:
Almost Disturbance for Variable-Pitch Wind TurbineSystem Under Variable Wind Speeds
Author(s):
Chu Hongyan1Li Weilin2
(1.School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China)(2.School of Energy and Mechanical Engineering,Nanjing Normal University,Nanjing 210023,China)
Keywords:
disturbance attenuationsampled-data controlvariable-pitch wind turbine system
PACS:
TP273
DOI:
10.3969/j.issn.1672-1292.2019.03.010
Abstract:
The strong randomness of wind speed and the uncertainty of wind turbine modeling bring about great challenges to the disturbance attenuation of wind turbine system. In this paper,a new type of non-linear sample-data controller is designed to realize the output power to suppress the disturbance signal. Firstly,the non-linearity and disturbance in the system are equivalent to bounded terms,and the approximate mathematical model of the system is established. Secondly,a continuous state feedback controller is designed to estimate the suppression gain. Thirdly,a sampling controller is constructed to meet the stability requirements and disturbance suppression,which is easy to implement in computer. Finally,the stability and disturbance suppression characteristics of the sampled-data controller are verified by a cosine disturbance input example.

References:

[1] CHEN H,WAN Q L,WANG Y R. Short-term wind power forecast based on fat-tailed generalized autoregressive conditional heteroscedasticity-in-mean type models[J]. Transactions of China electrotechnical society,2016,31(5):91-98.
[2]MA Z X,CHEN H,CHAI Y L. Analysis of voltage stability uncertainty using stochastic response surface method related to wind farm correlation[J]. Protection and control of modern power systems,2017,2(20):211-219.
[3]YANG B,SHU H C,QIU D L,et al. Nonlinear robust state estimation feedback control of doubly-fedinduction generator under variable wind speeds[J]. Automation of electric power systems,2019,43(4):60-69.
[4]SHU Y B,XUE Y S,CAI B,et al. A review of energy transition analysis:part two uncertainties and approaches[J]. Automation of electric power systems,2018,42(10):1-12.
[5]SU Y X,DUAN B,JING X L,et al. A variable pitch control strategy for wind trubines under power grid coordination condition[J]. Automation of electric power systems,2013,37(9):7-12.
[6]ZHAO H S,ZHANG J P,WANG G L,et al. State estimation based fault detection of hydraulic variable-pitch system for wind turbine[J]. Automation of electric power systems,2019,40(22):100-124.
[7]CHEN J,CHEN R,CHEN Z H,et al. Active stall control of fixed-pitch wind turbines[J]. Automation of electric power systems,2010(2):98-103.
[8]LIU J,HE Y L,LI J,et al. Design and simulation of an improved control strategy for variable-speed pitch controlled wind turbine driven generator system[J]. Automation of electric power systems,2011,35(5):82-86.
[9]DU P,LIU F,WANG X,et al,Simulation of wind generating set based on PID[C]//International Conference on Mechanical Engineering and Systems. Yinchuan,China:Atlantis Press,2015:1341-1349.
[10]YU H Q,YANG G,HAO Z. Fuzzy self-adaptive PID control of the variable speed constant frequency variable-pitch wind turbine system[C]//IEEE international conference on system science and engineering. Shanghai,China:IEEE,2014:124-127.
[11]XU O Y,TANG W,CAI Y X,et al. Fuzzy logic based reactive power control strategy for low-voltage distribution network switch high proportion of residential photovoltaic power[J]. Automation of electric power systems,2017,41(23):89-95.
[12]TAN L V,NGUYEN T H,LEE D C. Advanced pitch angle control based on fuzzy logic for variable-speed wind turbine systems[J]. IEEE transactions on energy conversion,2015,30(2):578-587.
[13]LIU H X,GAO Y B,GENG S J,et al. Nonlinear control of variable speed wind turbines via fuzzy techniques[J]. IEEE Access,2017,5:27-34.
[14]HODA M,DANYAL B. Wind turbine control using T-S systemswith nonlinear consequent parts[J]. Energy,2019,172:922-931.
[15]孙玉申. 变速风力发电机非线性控制方法研究[D]. 北京:华北电力大学,2018.
SUN Y S. Research on nonlinear control method of variable speed wind turbine[D]. Beijing:North China Electric Power University.(in Chinese)
[16]TSINIAS J. A theorem on global stabilization of nonlinear systems by linear feedback[J]. Systems & control letters,1991,17(5):357-362.
[17]QIAN C,LIN W. Output feedback control of a class of nonlinear systems:a nonseparation principle paradigm[J]. IEEE transactions on automatic control,2002,47(10):1710-1715.
[18]QIAN C,DU H. Global output feedback stabilization of a class of nonlinear systems via linear sampled-data control[J]. IEEE transactions on automatic control,2012,57(11):2934-2939.
[19]CHU H Y,QIAN C J,LIU R J,et al. Almost disturbance decoupling for a class of nonlinear systems via sampled-data output feedback control[J]. International journal of robust and nonlinear control,2016,26:2201-2215.

Memo

Memo:
-
Last Update: 2019-09-30