大型并网风力发电机组控制算法研究
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摘要
本文的研究目标是为大型并网风力发电机组建立一种以获取最大能量转换效率为目的的控制算法,该算法同时兼顾到控制过程良好的动态特性与稳定性,并将机组结构在风力作用下引起的动力学问题及其疲劳影响程度减到最低。
     根据风力机的能量转换特性,风力机叶轮转速与风速必须保持在某个恒定的速比上,即风力机的转速必须跟随风速的变化,才能获得最大能量转换效率。要实现这一目标,必须解决两个问题,第一个问题是在作为原动力的风速随机变化的情况下,如何控制风力机转速使之能够跟随风速变化。第二个问题是如何实现发电机在变速运行时恒频输出。交-直-交全功率变频技术和交流励磁变速恒频技术的发展,为同步或异步发电机在变速运行时恒频输出提供了强有力的技术支撑,使大型并网运行的风力发电机组由定桨距恒速运行方式向变速恒频运行方式转变成为可能。但在解决风力发电机转速跟随风速变化的控制技术方面,尚有大量的理论与技术问题需要探索。
     本文首先对风力机的基本工作原理及其能量转换特性进行详细的理论分析,对变速变桨风力发电机组各风速段的运行特性进行了实验研究与分析,提出了在低于额定风速时,通过对发电机转矩控制实现对最佳转速曲线跟踪的基本策略;提出了在高于额定风速时通过控制桨叶节距配合发电机转矩控制来稳定最大功率输出的策略;讨论了变速与变桨距两种控制策略的相互耦合关系;介绍了控制算法的实现过程及在该控制算法影响下风电机组主要部件包括叶轮、传动系统和塔架的各阶振动模态以及它们之间的相互影响力;在此基础上提出了转矩控制对传动系统扭转振动和桨距控制对塔架前后振动的影响力及控制方案;应用BLADED和MATLAB软件对主要控制环节进行设计及参数调整,并对完整的控制算法进行了仿真研究。
     由于空气动力学的不确定性,常规PID控制方法所跟踪的理论最佳曲线有一定的局限性。本文在上述研究的基础上提出了基于模糊逻辑控制的智能方法:用模糊逻辑解决风力机叶轮转速在跟踪风速变化时的控制问题,并用类似的方法改善发电机在变速运行时的工作效率。通过仿真和模拟试验,证明了智能方法的可用性。
     论文最后对基于观测器的风力机关键机械部件的故障监测进行了探讨,利用支持向量回归(SVR)模型辨识建立风力机整机及其关键机械部件的观测器。通过变桨距风力机半物理仿真试验表明,通过观测器可以判断出机组是否出现故障,并且由各个部件的观测器能进一步确定故障发生源。以完善控制系统功能,提高机组运行的可靠性。
The research objective of this paper is to find a control method which can obtain maximum energy conversion efficiency for a complicated non-linear time-varyingsystem------variable speed wind energy conversion system(WECs). According to theenergy conversion characteristic of WECs, the maximum wind energy conversion efficiency can be obtained if the ratio of rotor speed and wind speed is kept at a constant, namely the rotor speed of wind turbine can be continuously adapted to the wind speed. For achieving the aim, two problems must be resolved. The first problem is how to control rotor speed in order to track stochastic wind speed. The second one is how to realize constant frequency output of generator under variable speed operation. The development of the technique of A.C Excitation for variable speed constant frequency(VSCF) supplies strong technique support for constant frequency output of generator under variable speed operation, which make it is possible that operation manner of large-sized grid-connected WECs changes from constant pitch constant speed to VSCF. But, so far, theory analysis and experimental study about the control technique of rotor speed tracking wind speed haven't been carried out in china.
     In this paper, basal operation principium and energy conversion characteristic of WECs are discussed in detail. Operation manner and control strategy of variable speed WECs is confirmed in theory, then a basal method for control rotational speed in order to track the wind turbine maximum power operation point are put forward. Research with PI control is implemented. The problem of wind speed measurement is resolved by using torque observer. The mathematic model of rotational speed control system is developed, and transfer function is deduced. Finally, correctness of the theory and validity of the method are validated through simulating and imitating.
     But theoretical optimal curve is tracked using PID control method has high limitation because of uncertainty of aerodynamic behaviour and complexity of electricity-electron model for a VSCF WECs. For these reasons, intelligentmeans------fuzzy logic control is developed on the basis of the above research.Control problem of tracking maximum power operation point is resolved by fuzzy logic. By similar method generator efficiency under variable speed operation is also improved. Through testing of simulating and imitating, the correctness of WTGS variable speed operation control strategy is further testified, at the same time, superiority of intelligent means is also testified. Those pave the way for developing new type of control system for VSCF WECs.
     Finally, the fault monitoring of key mechanical components of wind turbine based on observation is discussed, and the observers of the whole wind turbine and its key mechanical components through SVR model identification are established. The variable pitch semi-physical simulation experiments show that through observer the unit can be judged from failure, and failure source can be further comfirmed, so as to improve the control system and the reliability of unit operation.
引文
1.Thomas Ackermann,Lennart soder.Wind energy technology and current status:a review.Renewable and Sustainable Energy Reviews,2000,(4):314-374.
    2.G.M.Joselin Herbert,S.Iniyan,E.Sreevalsan and S.Rajapandian.A review of wind energy technologies.Renewable and Sustainable Energy Reviews,Volume 11,Issue 6,August 2007:1117-1145
    3.中国农业机械工业协会风力机械分会.全国风能设备行业2007年年会暨风力发电产业发展研讨会.浙江温州,2007.12.
    4.于建国.2006年全球风能市场发展浅析.科技情报开发与经济,2007.20(17):130-132.
    5.叶杭冶.风力发电机组的控制技术[M].机械工业出版社,2006年1月第2版
    6.Robert W,Darrell M.Trends in the evolution of wind turbine generator configurations and systems.Wind Energy,1998.1:70-85.
    7.Nikos Hatziargyriou,Arthuros Zervos.Wind power development in Europe.Proceedings of the IEEE,2001.12:1764-1782.
    8.张正敏.中国风力发电经济激励政策,北京:中国环境科学出版社,2002.
    9.施鹏飞.21世纪风力发电前景.中国电力,2000.9:78-84.
    10.Nikos Hatziargyriou,Arthuros Zervos.Wind power'development in Europe.Proceedings of the IEEE,2001.12:1764-1782.
    11.Hamid M.B.Metwally.New self-excited variable speed constant frequency generator for wind power systems.Energy conversion and management.2000.4,1404-1417.
    12.StaffEditor.China's wind power in rapid progressing.Eledtricity,2001.2:42-45.
    13.吴高.风力发电的现状与展望.水利水电科技进展,2000.6:25-62.
    14.林勇刚,李伟,叶杭冶等,变速恒频风力机组变桨距控制研究,农业机械学报,2004,35(4):110-114。
    15.N.Horiuchi,T.Kawahito.Torque and power limitations of variable speed wind turbines using pitch control and generator power contro.Power Engineering Society Summer Meeting IEEE,2001,1(7):638-643.
    16.林勇刚,李伟.风力机组电液比例变桨距技术研究,太阳能学报,2007.6:658-662。
    17.霍福鹏,刘红.提高水平轴风力机叶型升力的实验研究.工程热物理学报,2003,24(2):220-223.
    18.程永卓,李宇红等.振荡扰流提高风力机翼型气动性能的研究.太阳能学报,2003,24(1):94-98.
    19.李本立,安玉华.风机塔架俯仰与桨叶挥舞的耦合运动.太阳能学报,1997,18(1):64-67.
    20.陈严,欧阳高飞,叶枝全.大型水平轴风力机传动系统的动力学研究.太阳能学报,2003,24(5):729-734.
    21.叶枝全,黄继雄,陈严等.适用于风力机的新翼型气动性能的实验研究.太阳能学报,2003,24(4):548-554.
    22.包能胜,叶枝全.水平轴风力机状态空间模型参数辨识.太阳能学报,2003,24(3):371-375.
    23.(法)D.勒古里雷斯著.风力机的理论与设计.施鹏飞译.北京:机械工业出版社,1985.
    24.J.A.Sanchez,C.Veganzones,S.Martinez,ect.Dynamic model of wind energy conversion systems with variable speed synchronous generator and full-size power converter for large-scale power system stability studies.Renewable Energy,Volume 33,Issue 5,May 2008,Pages 905-913.
    25.Kom Saranyasoontom and Lance Manuel.On the propagation of uncertainty in inflow turbulence to wind turbine loads.Journal of Wind Engineering and Industrial Aerodynamics,In Press,Corrected Proof,Available online 14 March 2008.
    26.Jose A.Carta,Penelope Ramirez and Celia Bueno.A joint probability density function of wind speed and direction for wind energy analysis.Energy Conversion and Management,In Press,Corrected Proof,Available online 4 March 2008.
    27.R.Lanzafame and M.Messina.Fluid dynamics wind turbine design:Critical analysis,optimization and application of BEM theory.Renewable Energy,Volume 32,Issue 14,November 2007,Pages 2291-2305.
    28.Ali Vardar and Ilknur Alibas.Research on wind turbine rotor models using NACA profiles.Renewable Energy,In Press,Corrected Proof,Available online 29 August 2007.
    29.F.L.Ponta,J.J.Seminara and A.D.Otero.On the aerodynamics of variable-geometry oval-trajectory Darrieus wind turbines.Renewable Energy,Volume 32,Issue 1,January 2007,Pages 34-56.
    30.J.W.Larsen and S.R.K.Nielsen.Non-linear dynamics of wind turbine wings.International Journal of Non-Linear Mechanics,Volume 41,Issue 5,June 2006,Pages 629-643.
    31.Rafael Gomez-Elvira,Antonio Crespo,Emilio Migoya,Fernando Manuel and Julio Hernandez.Anisotropy of turbulence in wind turbine wakes.Journal of Wind Engineering and Industrial Aerodynamics,Volume 93,Issue 10,October 2005,Pages 797-814.
    32.M.Jureczko,M.Pawlak and A.Mezyk.Optimisation of wind turbine blades.Journal of Materials Processing Technology,Volume 167,Issues 2-3,30 August 2005,Pages 463-471.
    33.Koki Kishinami,Hiroshi Taniguchi,Jun Suzuki,Hiroshi Ibano,Takashi Kazunou and Masato Turuhami.Theoretical and experimental study on the aerodynamic characteristics of a horizontal axis wind turbine.Energy,Volume 30,Issues 11-12,August-September 2005,Pages 2089-2100.
    34.林勇刚,李伟,陈晓波等.大型风力机组独立桨叶控制系统研究,太阳能学报,2005.12:780-786。
    35.刘湘琪,邱敏秀,林勇刚.液压技术在风力发电中的应用.机床与液压,2004,8:114-116.
    36.Liu Hongwei,Lin Yonggang,Li Wei,Study on Control Strategy of Individual Blade Pitch-Controlled Wind Turbine,the International Program Committee of the 6th World Congress on Intelligent Control Automation,2006.6:6407-6412.
    37.Zulati Litifu,Ken Nagasaka and Chi-Hung Kelvin Chu.Steady state and transient operation analysis of wind power systems.International Journal of Electrical Power & Energy Systems,Volume 27,Issue 4,May 2005,Pages 284-292.
    38.Y.Tang,L.Xu,A flexible active and reactive power control strategy for a variable speed constant frequency generating system.Power Electronics Specialists Conference PESC '93Record 24th Annual IEEE,1993,7:568-573.
    39.Lotfi Krichen,Bruno Francois and Abderrazak Ouali.A fuzzy logic supervisor for active and reactive power control of a fixed speed wind energy conversion system.Electric Power Systems Research,Volume 78,Issue 3,March 2008,Pages 418-424.
    40.S.Sarkar and H.Bijl.Nonlinear aeroelastic behavior of an oscillating airfoil during stall-induced vibration.Journal of Fluids and Structures,In Press,Corrected Proof,Available online 28 January 2008.
    41.T.Ekelund.Speed control of wind turbines in the stall region.Proceedings of the Third IEEE Conference on Control Applications,1994,1(8):227-232.
    42.R.Rocha,P.Resende.Control of stall regulated wind turbine through H_∞ loop shaping method Proceedings of the 2001 IEEE International Conference on Control Applications,2001,9:924-929.
    43.E.Muljadi,K.Pierce,P.Migliore.Control strategy for variable-speed,stall-regulated wind turbines.Proceedings of the 1998 American Control Con ference,1998,3(7):1710-1714.
    44.N.Horiuchi,T.Kawahito.Torque and power limitations of variable speed wind turbines using pitch control and generator power contro.Power Engineering Society Summer Meeting IEEE,2001,1(7):638-643.
    45.卞松江,潘再平,贺益康.风力机特性的直流电机模拟.太阳能学 报,2003,24(3):360-364.
    46.Ezzeldin S.Abdin and Wilson Xu.Control design and dynamic performance analysis of a wind turbine-induction generator unit.IEEE Trans.On EC,2000,3(15):91-96.
    47.周鄂等.电机学(修订版).北京:水利水电出版社,1998.
    48.王振永,王然冉.电机的数学模型及参数辨识.北京:机械工业出版社,1991.
    49.Naruhito Kodama,Tomoyuki Matsuzaka and Sayosi Yamada.Modeling and analysis of the NEDO 500-kW wind generator.ELetrical engieering in Japan.2001.3.37-47.
    50.杨元侃,惠晶.无刷双馈风力发电机的控制策略与实现.电机与控制学报,2007.4(11):364-368.
    51.谢震,张崇巍,张兴等.基于MPPT的变速恒频双馈风力发电控制策略.农业机械学报,2007.7(38):148-151.
    52.杨淑英,张兴,张崇巍等.变速恒频双馈风力发电机投切控制策略.中国电机工程学报,2007.17(27):103-108.
    53.程鹏,李伟力,孙秋霞等.变速恒频双馈感应发电机的空载特性.电机与控制学报,2007.2l(11):101-106.
    54.郭金东,赵栋利,林资旭等.兆瓦级变速恒频风力发电机组控制系统.中国电机工程学报,2007.6(27):1-6.
    55.郎永强,张学广,徐殿国等.双馈电机风电场无功功率分析及控制策略.中国电机工程学报,2007.9(27):77-82.
    56.谢震,张崇巍,张兴等.双馈感应发电机在风力发电中的应用.农业工程学报,2006.12(22):94-98.
    57.李龙文,王辉,高平等.永磁电机直接驱动变速恒频风力发电控制技术.自动化博览,2006.2(23):72-74.
    58.李建林,周谦,刘剑等.直驱式变速恒频风力发电系统变流器拓扑结构对比分析.电源技术应用,2007.6(10):12-15.
    59.焦竹青,屈百达,徐保国.基于遗传算法的永磁同步电机调速系统PID参数优化.电机与控制应用,2007.7(31):34-37.
    60.杨淑英,张兴,张崇巍.基于自适应谐振调节器的变速恒频风力发电双馈驱动研究.中国电机工程学报,2007.14(27):95-101.
    61.郭金东,赵栋利林资旭等.兆瓦级变速恒频风力发电机组控制系统.中国电机工程学报,2007.6(27):1-6.
    62.吴迪,张建文.变速直驱永磁风力发电机控制系统的研究.大电机技术,2006.6:51-55.
    63.潘文霞,艾斯卡尔,史林军等.变速恒频风力发电系统控制方案的分析与比较.太阳能,2004.6:44-48.
    64.杨金明,吴捷,董萍.基于无源性理论的风力机最大风能捕获控制.太阳能学报,2003.5(24):724-728.
    65.郑黎明,叶枝全.具有失速调节的变转速风力机的动态分析与控制策略.太阳能学报,2001.3(22):351-355.
    66.包能胜,叶枝全.水平轴失速并网型风力机控制要点.风力发电,2001.4:33-38.
    67.M.M.Prats,J.M.Carrasco,E.Galvan.A new fuzzy logic controller to improve the captured wind energy in a real 800kW variable speed-variable pitch wind turbine.Power electronics specialists conference,IEEE.2002,6:23-27.
    68.M.L.Buhl Jr,A.D.Wrihght,and K.G.Pierce.Wind turbine design codes:A comparison of the structural response.19# American society of mechanical engineers wind energy symposium.2001,9:101,116.
    69.E A Bossanyi.Bladed for windows User Manual.2002,1.
    70.林勇刚,徐立,李伟等.电液比例变桨距风力机半物理仿真试验台,中国机械工程,2005.4:110-114.
    71.陈晓波,林勇刚,李伟,基于Bladed的电液比例变桨距风力机半物理仿真平台,机床与液压,2006.10:116-119.
    72.张玉良,杨从新,李仁年等.风速梯度对风力机设计影响的理论分析.兰州理工大学 学报,2007.3(33):54-57.
    73.张玉良,李仁年,李晓鹏等.风力机风轮设计中计算风速影响的两种新形式.山东建筑大学学报,2006.6(21):521-523.
    74.林勇刚,李伟.基于SVR增量学习算法的变桨距风力机系统在线辨识,太阳能学报,2006.3:223-229。
    75.D.L.Yu,D.Williams,J.B.Gomm.On-line implementation of a model predictive controller on a multivariable chemical process.IEE Two-Day Workshop on Model Predictive Control:Techniques and Applications,1999,4:1-5.
    76.S.J.Norquay,A.Palazoglu,J.A.Romagnoli.Application of Wiener model predictive control (WMPC) to a pH neutralization experiment.IEEE Trans.On CST,1999,7(7):437-445.
    77.M.Mukai,A.Kojima,T.Azuma,M.Fujita.A min-max model predictive control for a class of hybrid dynamical systems.2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation,2003.Proceedings,2003,7(2):15-20.
    78.D.Arora,M.Skiliar,R.B.Roemer.Model-predictive control ofhyperthermia treatments.IEEE Trans.on BE,2002,7(49):629-639.
    79.D.W.Clarke,et al.Generalized predictive control,Part Ⅰ,The basic algorithm;Part Ⅱ,Extensions and interpretations.Automatica,1987,23(2):137-148.
    80.M.S.Bazapaa,C.M.Shety.Nonlinear programming theory and algorithms.John wiley &sons,1979.
    81.D.W.Clarke.Application of generalized predictive control to industrial processes.IEEE Control Systems Magazine,1988,4(8):49-55.
    82.C.Ozsoy,R.Kazan.Cartesian base predictive control of robotic manipulators.IEEE International Symposium on IE,1993.Conference Proceedings,' ISIE'93-Budapest,1993,6:708-712.
    83.T.Takagi,M.Sugeno.Fuzzy identification of systems an its application to modeling and control.IEEE Trans.On SMC,1995,1(15):115-132.
    84.Lotfi Krichen,Bruno Francois and Abderrazak Ouali.A fuzzy logic supervisor for active and reactive power control of a fixed speed wind energy conversion system.Electric Power Systems Research,Volume 78,Issue 3,March 2008,Pages 418-424
    85.Francisco Jurado and Jose R.Saenz.Neuro-fuzzy control for autonomous wind-diesel systems using biomass.Renewable Energy,Volume 27,Issue 1,September 2002,Pages 39-56.
    86.Ronald Spiegel and Bimal Bose.Fuzzy logic integrated electrical control to improve variable speed wind turbine efficiency and performance.Solar Energy,Volume 62,Issue 2,February 1998,Page Ⅺ.
    87.T.Takagi,M.Sugeno.Fuzzy identification of systems an its application to modeling and control.IEEE Trans.On SMC,1995,1(15):115-132.
    88.陈建勤,席裕庚等.模糊规则的学习及其在非线性系统建模中应用.自动化学报,1997,2 3(4):533-537.
    89.郭晓锋.Fuzzy—PID控制在风力发电机上转速控制中的应用.长春工业大学学报:自然科学版,2004.2(25):51-54.
    90.林勇刚,李伟,陈晓波等.大型风力发电机组独立桨叶控制系统.太阳能学报,2005.6(26):780-786.
    91.任腊春,张礼达.基于模糊理论的风力机故障诊断专家系统构建.机械科学与技术,2007.5(26):581-584.
    92.任腊春,张礼达.基于模糊理论的风力机故障诊断专家系统的研究.流体传动与控制,2006.6:10-12.
    93.高平,王辉,佘岳等.基于Matlab/Simulink的风力机性能仿真研究.能源研究与信息,2006.2(22):79-84.
    94.张小芳,王爱龙,田俊梅.风力机的MATLAB模型及其应用.电力学报,2004.2(19):114-115.
    95.陈严,张锦源,王楠等.风力机风场模型的研究及紊流风场的MATLAB数值模拟.太阳能学报,2006.9(27):954-960.
    96.杨兴满,何玉林,金鑫等.风力机总体性能分析与仿真.现代制造工 程,2007.2:118-121.
    97.边肇祺,张学工.模式识别.北京:清华大学出版社,2000.
    98.K.R.Muller,A.J.Smola etc.Predicting time series with support vector machines.Artificial neural networks-ICANN'97,1997,Springer:999-1004.
    99.S.Mukherjee,E.Osuna,EGirosi.Nonlinear prediction of chaotic time series using a support vector machine.Neural networks for signal processing Ⅶ—proceedings of the 1997 IEEE workshop,1997.
    100.T.Frontzek,T.N.Lal,R.Eckmiler.Predicting the nonlinear dynamics of biological neurons using support vector machines with difference kernels.Proceedings of international joint conference on neural networks,2001,2:1492-1497.
    101.P.M.Drezet,R.EHarrison.Support vector machines for system identification.Proceedings of UKACC international conference on control,1998,1:688-692.
    102.Arthur Gretton,Arnaud Doucet,et al..Support vector regression for black-box system identification[J].Statistical Signal Processing.Proceedings of the 11 th IEEE Signal Processing Workshop on,2001:341-344
    103.A.J.Smola,B.Scholkopf.A tutorial on support vector regresion[J].ESPRIT,Neural and computational learning Thery neuroCOLT2 NC2-TR- 1998-030,1998.
    104.周伟达,张莉,焦李成.支撑矢量机推广能力分析.电子学报,2001,29(5):590-594.
    105.萧嵘,王继成,孙正兴,张福炎.一种SVM增量学习算法.南京大学学报(自然科学),2002,38(3):152-157.
    106.曾文华,马健.一种新的支持向量机增量学习算法.厦门大学学报(自然科学版),2002,41(11):687-691.
    107.李凯,黄厚宽.支持向量机增量学习算法研究.北方交通大学学报,2003,27(10):34-37.
    108.Rong Xiao,Jicheng Wang,Fayan Zhang.An approach to incremental SVM learning algorithm.Tools with Artificial Intelligence,2000.ICTAI 2000.Proceedings.12th IEEE International Conference on,2000:268-273.
    109.Jin-Long An,Zheng-Ou Wang,Zhen-Ping Ma.An incremental learning algorithm for support vector machine.Machine Learning and Cybernetics,2003 International Conference on,2003,2:1153-1156.
    110.Mitra,P.,Murthy,C.A.,Pal,S.K..Data condensation in large databases by incremental learning with support vector machines.15th International Conference on Pattern Recognition,2000.Proceedings.,2000,2(9):708-711.