基于BP神经网络递推积分PI-重复控制在微电网APF中的研究
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摘要
为改善有源滤波器(APF)在微电网运行中对谐波起到抑制作用及补偿电能质量的能力,提出了一种适用于微电网有源电力滤波器中的BP神经网络递推积分PI-重复控制策略。结合并联型APF拓扑结构,在传统PI控制算法基础之上引进BP神经网络算法及递推积分函数,根据跟踪误差变化趋向将PI控制参数进行实时、快速整定,进而满足最优化要求。并与重复控制进行并联,提高跟踪稳态误差能力,保证系统运行的稳定性。建立并联型APF仿真模型和实验装置,通过仿真对比验证了所提出的控制策略能够很好地提高响应速度和补偿精度,提高了有源电力滤波器的鲁棒性。
In order to improve the ability of the Active Power Filter(APF) to suppress the harmonics and compensate the power quality in the operation of the micro-grid, a recursive integral PI-repetitive control strategy for BP neural network for APF in micro-grid is proposed. Combined with the parallel APF topology, BP neural network and recursive integral function are introduced on the basis of traditional PI control. According to the trend of tracking error change, the PI control parameters are adjusted in real time and quickly, and then the optimization requirements are met. In parallel with the repetitive control, the ability of tracking steady state error is improved to ensure the stability of the system operation. The parallel APF simulation model and experimental device are established. Simulation results show that the proposed control strategy can improve the response speed and the compensation precision, improving the robustness of active power filter.
In order to improve the ability of the Active Power Filter(APF) to suppress the harmonics and compensate the power quality in the operation of the micro-grid, a recursive integral PI-repetitive control strategy for BP neural network for APF in micro-grid is proposed. Combined with the parallel APF topology, BP neural network and recursive integral function are introduced on the basis of traditional PI control. According to the trend of tracking error change, the PI control parameters are adjusted in real time and quickly, and then the optimization requirements are met. In parallel with the repetitive control, the ability of tracking steady state error is improved to ensure the stability of the system operation. The parallel APF simulation model and experimental device are established. Simulation results show that the proposed control strategy can improve the response speed and the compensation precision, improving the robustness of active power filter.
引文
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[14]王树民,李祥生,齐凌成,等.并联型有源电力滤波器的研究[J].智慧电力,2018,46(9):79-82,102.WANG Shumin,LI Xiangsheng,QI Lingcheng,et al.Study on shunt active power filter[J].Smart Power,2008,46(9):79-82,102.
[15]范其丽,郑晓茜,王璞,等.基于混合储能动态调节的独立混合微电网分布式协调控制[J].电力系统保护与控制,2018,46(7):105-114.FAN Qili,ZHENG Xiaoqian,WANG Pu,et al.Distributed coordinated control of independent hybrid microgrid based on hybrid energy storage dynamic regulation[J].Power System Protection and Control,2018,46(7):105-114.
[16]蔡冰倩,贾利虎,朱永强,等.新型交直流混合微电网结构设计[J].电力系统保护与控制,2017,45(2):147-154.CAI Bingqian,JIA Lihu,ZHU Yongqiang,et al.New architecture design for hybrid AC/DC micro-grid[J].Power System Protection and Control,2017,45(2):147-154.
[17]谢斌.并联型有源滤波器谐波检测及控制技术研究[D].武汉:华中科技大学,2010.XIE Bin.Research on harmonic detection and control of shunt active power filter[D].Wuhan:Huazhong University of Science and Technology,2010.
[18]董飞飞,俞登科.我国电网技术的回顾与展望[J].智慧电力,2018,46(4):6-10.DONG Feifei,YU Dengke.Retrospect and prospect of china power grid technology[J].Smart Power,2018,46(4):6-10.
[19]周朋祥.基于改进人工蜂群优化BP神经网络的微电网APF控制策略研究[D].葫芦岛:辽宁工程技术大学,2017.ZHOU Pengxiang.APF control strategy of microgrid based on improved artificial bee colony optimization BPneural network[D].Huludao:Liaoning Technical University,2017.
[2]卢昊,周雒维,杜雄.三相直流侧APF补偿性能的领域研究[J].电源学报,2009,7(2):137-142.LU Hao,ZHOU Luowei,DU Xiong.Research frequency compensation performance of three-phase DC side APF[J].Journal of Power Supply,2009,7(2):137-142.
[3]孙龙庭,张旸,陈新.基于重复控制的微电网逆变器控制策略[J].电源学报,2018,16(2):38-44.SUN Longting,ZHANG Yang,CHEN Xin.Repetitive control based control strategy for microgrid inverter[J].Journal of Power Supply,2018,16(2):38-44.
[4]ZHANG Baohui,HAO Zhiguo,BO Zhiqian.New development in relay protection forsmart grid[J].Protection and Control of Modern Power Systems,2016,1(1):121-127.DOI:10.1186/s41601-016-0025-x.
[5]刘国海,张琛,陈兆岭,等.基于全程滑模变结构控制有源电力滤波器[J].电气传动,2014,44(11):29-32.LIU Guohai,ZHANG Chen,CHEN Zhaoling,et al.Global sliding mode variable structure control for active power filter[J].Electric Drive,2014,44(11):29-32.
[6]刘继权,张茂松.基于瞬时无功功率理论的新型谐波检测法[J].电测与仪表,2012,49(562):32-54.LIU Jiquan,ZHANG Maosong.A new harmonic detection method based on instantaneous reactive power theory[J].Electrical Measurement and Instrument,2012,49(562):32-54.
[7]乔鸣忠,夏益辉,梁京辉,等.基于重复-PI的复合控制应用于并联有源滤波器研究[J].电力系统保护与控制,2013,41(14):54-59.QIAO Mingzhong,XIA Yihui,LIANG Jinghui,et al.Research on PI control based compound controller applying to shunt active filter[J].Power System Protection and Control,2013,41(14):54-59.
[8]季宇,王东旭,吴红斌,等.提高直流微电网稳定性的有源阻尼方法[J].电工技术学报,2018,33(2):370-379.JI Yu,WANG Dongxu,WU Hongbin.The active damping method for improving the stability of DCmicrogrid[J].Transactions of China Electortechnical Society,2008,33(2):370-379.
[9]梁姗姗,吴军,刘涤尘,等.智能电网技术体系与发展趋势研究[J].陕西电力,2015,43(10):1-5.LIANG Shanshan,WU Jun,LIU Dichen,et al.Technology system and development trend of smart grid[J].Shaanxi Electric Power,2015,43(10):1-5.
[10]应素云.基于重复控制的有源电力滤波器控制算法[D].福州:福州大学,2011.YING Suyun.Control algorithm of active power filter based on repetitive control[D].Fuzhou:Fuzhou University,2011.
[11]刘飞,宫金武,彭光强,等.一种复合式重复控制在并联型有源电力滤波器设计中的应用[J].电工技术学报,2012,27(12):138-145.LIU Fei,GONG Jinwu,PENG Guangqiang,et al.Application of compound repetitive control in shunt active power filter[J].Transactions of China Electrotechnical Society,2012,27(12):138-145.
[12]李兰芳,徐晓刚,吴国兵,等.并联型APF直流侧电压的滑模PI控制策略研究[J].电力系统保护与控制,2017,45(5):32-37.LI Lanfang,XU Xiaogang,WU Guobing,et al.The sliding mode PI control strategy of parallel APF DC side voltage[J].Power System Protection and Control,2017,45(5):32-37.
[13]张培远.重复-模糊PI复合控制策略在APF中的应用[J].电气应用,2016,35(18):30-51.ZHANG Peiyuan.The application of repetitive fuzzy PIcomplex control strategy in APF[J].Electrical Application,2016,35(18):30-51.
[14]王树民,李祥生,齐凌成,等.并联型有源电力滤波器的研究[J].智慧电力,2018,46(9):79-82,102.WANG Shumin,LI Xiangsheng,QI Lingcheng,et al.Study on shunt active power filter[J].Smart Power,2008,46(9):79-82,102.
[15]范其丽,郑晓茜,王璞,等.基于混合储能动态调节的独立混合微电网分布式协调控制[J].电力系统保护与控制,2018,46(7):105-114.FAN Qili,ZHENG Xiaoqian,WANG Pu,et al.Distributed coordinated control of independent hybrid microgrid based on hybrid energy storage dynamic regulation[J].Power System Protection and Control,2018,46(7):105-114.
[16]蔡冰倩,贾利虎,朱永强,等.新型交直流混合微电网结构设计[J].电力系统保护与控制,2017,45(2):147-154.CAI Bingqian,JIA Lihu,ZHU Yongqiang,et al.New architecture design for hybrid AC/DC micro-grid[J].Power System Protection and Control,2017,45(2):147-154.
[17]谢斌.并联型有源滤波器谐波检测及控制技术研究[D].武汉:华中科技大学,2010.XIE Bin.Research on harmonic detection and control of shunt active power filter[D].Wuhan:Huazhong University of Science and Technology,2010.
[18]董飞飞,俞登科.我国电网技术的回顾与展望[J].智慧电力,2018,46(4):6-10.DONG Feifei,YU Dengke.Retrospect and prospect of china power grid technology[J].Smart Power,2018,46(4):6-10.
[19]周朋祥.基于改进人工蜂群优化BP神经网络的微电网APF控制策略研究[D].葫芦岛:辽宁工程技术大学,2017.ZHOU Pengxiang.APF control strategy of microgrid based on improved artificial bee colony optimization BPneural network[D].Huludao:Liaoning Technical University,2017.