期刊文献+

适用于PMSG背靠背变流器的新型电压矢量控制

Novel Voltage Vector Control for PMSG Back-to-back Converter
在线阅读 下载PDF
导出
摘要 直接模型预测控制DMPC(direct model predictive control)在改善背靠背BTB(back-to-back)变流器永磁同步发电机注入电网电能质量方面具有重要作用。然而,由于BTB变流器的可行电压矢量VVs(voltage vectors)都是用来预测和评估的,且其成本函数中的权重因素会影响控制性能,因此,DMPC的计算量比较大,调整过程复杂。为此,利用直接控制的简单性,结合直接转矩控制DTC(direct torque control)和直接功率控制DPC(direct power control),提出了一种新的直接模型预测磁通控制DMPFC(direct model predictive flux control)和直接模型预测功率控制DMPPC(direct model predictive power control)。首先,通过定义新的DTC和DPC切换表,在8个预测参数中只需要3个就可为BTB变流器选择最佳电压矢量,大大减少计算量。此外,为了避免权重因素的影响,本文将电磁转矩简单地转换为等效定子磁通,在成本函数中只考虑等效定子磁通。最后,实验结果表明,该方法的计算时间减少了26.9%,同时获得了最佳的控制效果。 Direct model predictive control(DMPC)plays an important role in improving the injected power quality of a permanent magnet synchronous generator with a back-to-back(BTB)converter.However,because the feasible voltage vectors(VVs)of the BTB converter are mostly used for prediction and evaluation,and the weighting factors in their cost function will affect the control performance,the calculation amount of DMPC is relatively large,and the adjustment process is complex.Under this background,novel direct model predictive flux control(DMPFC)and direct model predictive power control(DMPPC)are proposed by combining direct torque control(DTC)and direct power control(DPC)with the simplicity of direct control.First,by defining the switching tables of the novel DTC and DPC,the optimal VVs can be selected for the BTB converter with only three of the eight predictive parameters,thus greatly reducing the calculation amount.To avoid the influence of weighting factors,the electromagnetic torque is simply converted to the equivalent stator flux in this paper,and only the equivalent stator flux is considered in the cost function.Finally,experimental results show that the calculation time of the proposed method is reduced by 26.9%,and the best control effect is obtained.
作者 李华东 李蕾 王国卉 杨蕾 李承印 LI Huadong;LI Lei;WANG Guohui;YANG Lei;LI Chengyin(Marketing Service Center,State Grid Henan Electric Power Company,Zhengzhou 450000,China;Information Communication Company,State Grid Gansu Electric Power Company,Lanzhou 730050,China)
出处 《电源学报》 CSCD 北大核心 2022年第6期155-164,共10页 Journal of Power Supply
基金 国家自然科学基金资助项目(51607061)。
关键词 直接模型预测控制 执行时间 权重因子 永磁机 风力发电机系统 direct model predictive control(DMPC) execution time weighting factor permanent magnet machine wind turbine system
作者简介 李华东(1975-),女,本科,高级工程师。研究方向:电能计量。E-mail:695608057@qq.com。;李蕾(1981-),女,本科,高级工程师。研究方向:电能计量。E-mail:404368491@qq.com。;王国卉(1989-),女,硕士,中级工程师。研究方向:电能计量。E-mail:wgh_hndl@163.com。;杨蕾(1986-),女,硕士,中级工程师。研究方向:电能计量。E-mail:522543425@qq.com。;李承印(1988-),男,本科,工程师。研究方向:电能计量。E-mail:3108799@qq.com。
  • 相关文献

参考文献4

二级参考文献38

  • 1郭庆鼎,赵麟,郭洪澈.1MW变速变距风力发电机的滑模变结构鲁棒控制[J].沈阳工业大学学报,2005,27(2):171-174. 被引量:16
  • 2刘金琨.先进PID控制MATLAB仿真[M].北京:电子工业出版社,2003..
  • 3Van T L,Lee DC.Ouput Power Smoothening of Variablespeed Wind Turbine Systems by Pitch Angle Control[C]//IPEC.2012:166.
  • 4Hui Z,Guo-bao Z,Shu-min F.Enhanced Model Reference Adaptive Backstepping Control of Permanent Magnet Synchronous Generator Equipped Wind Energy Conversion System with Stator Parameters Varying[C]//Control and Decision Conference(CCDC),2011 Chinese.IEEE,2011:133-138.
  • 5Seker M,Zergeroglu E,Tatlicioglu E.Robust Backstepping Control of Variable Speed Wind Turbines with Permanent Magnet Synchronous Generators[C]//Control Applications(CCA),2012 IEEE International Conference on.IEEE,2012:1068-1073.
  • 6Wang G D,Wai R J,Liao Y.Design of Backstepping Power Control for Grid-side Converter of Voltage Source Converter-based High-voltage DC Wind Power Generation System[J].IET Renewable Power Generation,2013,7(2):118-133.
  • 7Khemiri N,Khedher A,Mimouni M F.A Backstepping Control Strategy Applied to the Connected Hybrid Renewable Energy System Operated in MPPT[C]//Ecological Vehicles and Renewable Energies(EVER),2013:1-10.
  • 8Kan Jiangming, Liu Jinhao.Self-tuning PID Contro-|ler Based on Improved BP Neural Network [C]//Proceedings of 2nd In- ternational Conference on Intelligent Computing Technology and Automation.10-11 October,2009, Hunan, China,2009: 95 -98.
  • 9Senjyu T, Sakamoto R, Urasaki N, et al. Output Power Level- ing of Wind Farm Using Pitch Angle Control with Fuzzy Neu- ral Network [ C ]//IEEE Proceedings on Power Engineering So- ciety General Meeting, Montreal, Que, 2006,2:1-8.
  • 10赵永祥,夏长亮,宋战锋,王慧敏,陈炜.变速恒频风力发电系统风机转速非线性PID控制[J].中国电机工程学报,2008,28(11):133-138. 被引量:74

共引文献92

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部