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电网技术  2014 

用于飞轮储能单元的神经元自适应比例-积分-微分控制算法

DOI: 10.13335/j.1000-3673.pst.2014.01.012, PP. 74-79

Keywords: 飞轮储能单元,风力发电机,转速-电流双闭环控制,神经元自适应比例-积分-微分控制,李亚普诺夫理论

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Abstract:

提出了一种应用于飞轮储能系统的神经元自适应比例-积分-微分(proportionalintegraldifferential,PID)控制算法。该算法基于传统的双闭环调速系统与神经网络理论,实现对飞轮驱动电机的控制,使飞轮驱动电机能够根据系统要求,驱动飞轮储能单元储存或释放能量。运用李亚普诺夫稳定性理论证明了该控制算法的稳定性和有效性,并给出了其稳定性条件。经过仿真验证,该算法可以有效地实现对飞轮储能单元的充放电控制,其控制参数可以随着系统的运行自适应调节,飞轮储能单元的控制精度和鲁棒性也有所提高。

References

[1]  Bitterly J G.Flywheel technology:past, present, and 21st century projections[J].IEEE Aerospace and Electronic Systems Magazine, 1998, 13(8:13-16.
[2]  张文亮, 丘明, 来小康.储能技术在电力系统中的应用[J].电网技术, 2008, 32(7):1-9.Zhang Wenliang, Qiu Ming, Lai Xiaokang.Application of energy storage technologies in power grids[J].Power System Technology, 2008, 32(7):1-9 (in Chinese).
[3]  李蓓, 郭剑波.平抑风电功率的电池储能系统控制策略[J].电网技术, 2012, 36(8):8-12.Li Bei, Guo Jianbo.A control strategy for battery energy storage system to level wind power output[J].Power System Technology, 2012, 36(8):8-12(in Chinese).
[4]  Jiang R, Wang J, Guan Y.Robust unit commitment with wind power and pumped storage hydro[J].IEEE Transactions on Power Systems, 2012, 27(2):800-810.
[5]  李霄, 胡长生, 刘昌金, 等.基于超级电容储能的风电场功率调节系统建模与控制[J].电力系统自动化, 2009, 33(9):86-90.Li Xiao, Hu Changsheng, Liu Changjin, et al.Modelling and controlling of SCES based wind farm power regulation system[J].Automation of Electric Power System, 2009, 33(9):86-90(in Chinese).
[6]  Buckles W, Hassenzahl W V.Superconducting magnetic energy storage[J].IEEE Power Engineering Review, 2000, 20(5):16-20.
[7]  蒋书运, 卫海岗, 沈祖培.飞轮储能技术研究的发展现状[J].太阳能学报, 2000, 21(4):427-433.Jiang Shuyun, Wei Haigang, Sheng Zupei.The situation of the flywheel energy storage research[J].Acta Energiae Solaris Sinca, 2000, 21(4):427-433(in Chinese).
[8]  Hebner R, Beno J, Walls A.Flywheel batteries come around again[J].IEEE Spectrum, 2002, 39(4):46-51.
[9]  Kaiqi Z.The study of improved PI method for PMSM vector control system based On SVPWM[C]//2011 IEEE Industry Applications Society Annual Meeting (IAS).Orlando, FL:IEEE, 2011:1-4.
[10]  Cardenas R, Pena R, Asher G, et al.Power smoothing in wind generation systems using a sensorless vector controlled induction machine driving a flywheel[J].IEEE Transactions on Energy Conversion, 2004, 19(1):206-216.
[11]  师黎, 陈铁军, 李晓媛.智能控制理论及应用[M].北京:清华大学出版社, 2009:187-200.
[12]  汤凡, 刘天琪, 李兴源.用于风电场功率控制的飞轮储能系统仿真研究[J].电网与清洁能源, 2010(2):63-68.Tang Fan, Liu Tianqi, Li Xingyuan.Simulation of flywheel energy storage system for control in wind farm[J].Power System and Clean Energy, 2010(2):63-68(in Chinese).
[13]  戴兴建, 于涵, 李奕良.飞轮储能系统充放电效率实验研究[J].电工技术学报, 2009, 24(3):20-24.Dai Xingjian, Yu Han, Li Yiliang.Efficient test on the charging and discharging of the flywheel energy storage system[J].Transactions of China Electrotechnical Society, 2009, 24(3):20-24(in Chinese).
[14]  Suvire G O, Mercado P E.Active power control of a flywheel energy storage system for wind energy applications[J].IET Renewable Power Generation, 2012, 6(1):9-16.
[15]  蒙永民, 李铁才, 荀尚峰.飞轮储能分布式电能控制技术放电部分的仿真研究[J].电网技术, 2008, 32(24):60-64.Meng Yongmin, Li Tiecai, Xun Shangfeng.Simulation of discharge section in flywheel energy storage using distributed electric energy control technology[J].Power System Technology, 2008, 32(24):60-64 (in Chinese).
[16]  周龙, 齐智平.解决配电网电压暂降问题的飞轮储能单元建模与仿真[J].电网技术, 2009, 33(19):152-158.Zhou Long, Qi Zhiping.Modeling and simulation of flywheel energy storage unit for voltage sag in distribution network[J].Power System Technology, 2009, 33(19):152-158(in Chinese).
[17]  陈伯时.电力拖动自动控制系统:运动控制系统[M].3版.北京:机械工业出版社, 2003:7.
[18]  Zhang M, Xia C, Tian Y, et al.Speed control of brushless DC motor based on single neuron PID and wavelet neural network[C]//IEEE International Conference on Control and Automation.Guangzhou:IEEE, 2007:617-620.
[19]  刘治钢, 王军政, 赵江波.永磁同步电机神经网络自适应滑模控制器设计[J].电机与控制学报, 2009, 13(2):290-295.Liu Zhigang, Wang Junzheng, Zhao Hongbo.Neural network adaptive sliding mode control for permanent magnet synchronous motor[J].Electric Machines and Control, 2009, 13(2):290-295(in Chinese).

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