基于模型预测控制的有源电力滤波器开关损耗优化设计

尚姝钰; 陈豪; 姜素霞; 吕恒志; 陶涛; 崔光照

doi:10.3969/j.issn.2096-1553.2017.2.016

CN 41-1437/TS ISSN 2096-1553

基于模型预测控制的有源电力滤波器开关损耗优化设计

尚姝钰 , 陈豪 , 姜素霞 , 吕恒志 , 陶涛 , 崔光照

尚姝钰, 陈豪, 姜素霞, 等. 基于模型预测控制的有源电力滤波器开关损耗优化设计[J]. 轻工学报, 2017, 32(2): 103-108. doi: 10.3969/j.issn.2096-1553.2017.2.016

引用本文: 尚姝钰, 陈豪, 姜素霞, 等. 基于模型预测控制的有源电力滤波器开关损耗优化设计[J]. 轻工学报, 2017, 32(2): 103-108. doi: 10.3969/j.issn.2096-1553.2017.2.016

SHANG Shu-yu, CHEN Hao, JIANG Su-xia, et al. Optimized design of active power filter switching loss based on model predictive control[J]. Journal of Light Industry, 2017, 32(2): 103-108. doi: 10.3969/j.issn.2096-1553.2017.2.016

Citation: SHANG Shu-yu, CHEN Hao, JIANG Su-xia, et al. Optimized design of active power filter switching loss based on model predictive control[J]. Journal of Light Industry, 2017, 32(2): 103-108. doi: 10.3969/j.issn.2096-1553.2017.2.016

基于模型预测控制的有源电力滤波器开关损耗优化设计

尚姝钰 ¹ ,
陈豪 ² ,
姜素霞 ² ,
吕恒志 ¹ ,
陶涛 ³ ,
崔光照 ^{2

,}

平顶山工业职业技术学院, 河南平顶山 476001;
郑州轻工业学院电气信息工程学院, 河南郑州 450002;
国家电网河南省电力公司许昌供电公司, 河南许昌 461000

通讯作者: 崔光照

基金项目: 河南省高等学校青年骨干教师资助计划项目（2015GGJS-180）；郑州轻工业学院博士科研基金项目（2013BSJJ025）
中图分类号: TM741.3

Optimized design of active power filter switching loss based on model predictive control

Pingdingshan Industrial College of Technology, Pingdingshan 476001, China;
College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China;
Xuchang Power Supply Company, State Grid He'nan Electric Power Company, Xuchang 461000, China

Corresponding author: CUI Guang-zhao,

Received Date: 2016-05-24
Available Online: 2017-03-15
CLC number: TM741.3

摘要: 通过α-β坐标变换构建了有源电力滤波器逆变器输出电流的预测模型，提出了预测电流优化控制策略，以降低有源电力滤波器开关损耗.该设计利用评估函数对逆变器开关器件不同开关状态电压矢量进行评估，预测所有可能的有源电力滤波器补偿电流值.当评估函数值最小时，将电压矢量对应的开关状态应用于下一采样周期，实现谐波参考电流快速跟踪.评估函数增加了开关频率的附加项，通过控制开关动作次数实现了开关频率下降.仿真结果表明，使用该控制策略，通过优化评估函数并选择合适的权重系数，能够显著降低开关频率，保证开关频率与并网电流的平衡，有效减少开关损耗.
- 有源电力滤波器 /
- 模型预测控制 /
- 评估函数 /
- 开关损耗
Abstract: The prediction model of the current output of the active power filter inverter was constructed by α-β coordinate transformation, and the optimal current control strategy was proposed to reduce the switching loss of the active power filter. The design used an evaluation function to evaluate the voltage vectors in different switching state of the inverter switching device for the sake of predicting all the possible compensation current values of active power filter. When the evaluation function value turned the smallest, the switch state corresponding to the voltage vector was applied to the next sampling period, acheiving the quick tracking of the harmonic reference current. The evaluation function increased the switching frequency of the additional term, by controlling the number of switching operations to realize the switching frequency drop. The simulation results showed that this control strategy could significantly reduce the switching frequency by optimizing the evaluation function and selecting the appropriate weight coefficient, ensure the balance between switching frequency and grid current, and effectively reduce the switching losses.
- active power filter /
- model predictive control /
- cost function /
- switching loss
1. [1]
  RAHMANI S,MENDALEK N,AL-HADDAD K.Experimental design of a nonlinear control technique for three-phase shunt active power filter[J].IEEE Transactions on Industrial Electronics,2010,57(10):3364.
2. [2]
  周柯,王凯,刘路,等.一种改进型并联混合有源电力滤波器及其控制[J].中国电机工程学报,2012,32(30):67.
3. [3]
  TANG Y,LOH P C,WANG P,et al.Generalized design of high performance shunt active power filter with output LCL filter[J].IEEE Transactions on Industrial Electronics,2012,59(3):1443.
4. [4]
  TRINH Q N,LEE H H.An advanced current control strategy for three-phase shunt active power filters[J].IEEE Transactions on Industrial Electronics,2013,60(12):5400.
5. [5]
  王兆安,杨君,刘进军.谐波抑制与无功功率补偿[M].北京:机械工业出版社,1998.
6. [6]
  左坤,李铮,吴建明,等.基于瞬时无功功率理论的谐波检测方法的研究[J].电力学报,2011,26(2):104.
7. [7]
  LAM C S,WONG M C,HAN Y D.Hysteresis current control of hybrid active power filters[J].IET Power Electronics,2012,5(7):1175.
8. [8]
  MUYEEN S M,AL-DURRA A.Modeling and control strategies of fuzzy logic controlled inverter system for grid interconnected variable speed wind generator[J].IEEE Systems Journal,2013,7(4):817.
9. [9]
  CURKOVIC M,JEZERNIK K,HORVAT R.FPGA-based predictive sliding mode controller of a three-phase inverter[J].IEEE Transactions on Industrial Electronics,2013,60(2):637.
10. [10]
  ODAVIC M,BIAGINI V,ZANCHETTA P,et al.One-sample-period-ahead predictive current control for high-performance active shunt power filters[J].IET Power Electronics,2011,4(4):414.
11. [11]
  PREINDL M,SCHALTZ E,THOGERSEN P.Switching frequency reduction using model predictive direct current control for high-power voltage source inverters[J].IEEE Transactions on Industrial Electronics,2011,58(7):2826.
12. [12]
  CORTES P,RODRIGUEZ J,SILVA C,et al.Delay compensation in model predictive current control of a three-phase inverter[J].IEEE Transactions on Industrial Electronics,2012,59(2):1323.
13. [13]
  金楠,邓轩轩,崔光照,等.光伏并网逆变器模型预测直接功率控制方法研究[J].电气工程学报,2016(6):13.
14. [14]
  漆铭钧,罗安,刘定国,等.有源电力滤波器参考电流的预测方法及其实现[J].中国电机工程学报,2009,29(7):128.
15. [15]
  金楠,胡石阳,崔光照,等.光伏并网逆变器有限状态模型预测电流控制[J].中国电机工程学报,2015,35(S1):190.
1. [1]
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沈阳化工大学材料科学与工程学院沈阳 110142

尚姝钰, 陈豪, 姜素霞, 等. 基于模型预测控制的有源电力滤波器开关损耗优化设计[J]. 轻工学报, 2017, 32(2): 103-108. doi: 10.3969/j.issn.2096-1553.2017.2.016

基于模型预测控制的有源电力滤波器开关损耗优化设计

通讯作者: 崔光照

平顶山工业职业技术学院, 河南平顶山 476001;
郑州轻工业学院电气信息工程学院, 河南郑州 450002;
国家电网河南省电力公司许昌供电公司, 河南许昌 461000

收稿日期: 2016-05-24
网络出版日期: 2017-03-15

基金项目: 河南省高等学校青年骨干教师资助计划项目（2015GGJS-180）；郑州轻工业学院博士科研基金项目（2013BSJJ025）

关键词:

摘要: 通过α-β坐标变换构建了有源电力滤波器逆变器输出电流的预测模型，提出了预测电流优化控制策略，以降低有源电力滤波器开关损耗.该设计利用评估函数对逆变器开关器件不同开关状态电压矢量进行评估，预测所有可能的有源电力滤波器补偿电流值.当评估函数值最小时，将电压矢量对应的开关状态应用于下一采样周期，实现谐波参考电流快速跟踪.评估函数增加了开关频率的附加项，通过控制开关动作次数实现了开关频率下降.仿真结果表明，使用该控制策略，通过优化评估函数并选择合适的权重系数，能够显著降低开关频率，保证开关频率与并网电流的平衡，有效减少开关损耗.

English Abstract

Optimized design of active power filter switching loss based on model predictive control

Corresponding author: CUI Guang-zhao,

Pingdingshan Industrial College of Technology, Pingdingshan 476001, China;
College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China;
Xuchang Power Supply Company, State Grid He'nan Electric Power Company, Xuchang 461000, China

Received Date: 2016-05-24
Available Online: 2017-03-15

Abstract: The prediction model of the current output of the active power filter inverter was constructed by α-β coordinate transformation, and the optimal current control strategy was proposed to reduce the switching loss of the active power filter. The design used an evaluation function to evaluate the voltage vectors in different switching state of the inverter switching device for the sake of predicting all the possible compensation current values of active power filter. When the evaluation function value turned the smallest, the switch state corresponding to the voltage vector was applied to the next sampling period, acheiving the quick tracking of the harmonic reference current. The evaluation function increased the switching frequency of the additional term, by controlling the number of switching operations to realize the switching frequency drop. The simulation results showed that this control strategy could significantly reduce the switching frequency by optimizing the evaluation function and selecting the appropriate weight coefficient, ensure the balance between switching frequency and grid current, and effectively reduce the switching losses.