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作 者:张国荣[1] 张学友[1] 丁明[1] 苏建徽[1] 陈林[1]
机构地区:[1]合肥工业大学教育部光伏系统工程研究中心,安徽合肥230009
出 处:《电气传动》2010年第7期37-41,共5页Electric Drive
基 金:教育部科学技术研究重大项目(306004);国家自然科学基金项目(50777015)
摘 要:并联有源电力滤波器(PAPF)的LCL型的输出滤波器要满足指令电流动态跟踪、补偿频段电流最大输出比和高频开关纹波的充分抑制3个方面的要求。采用遗传算法对LCL参数进行优化设计,为了摆脱传统加权系数法在解决多目标优化问题时对加权系数选择的盲目性,采取了粗粒型并行遗传算法,为避免算法陷入局部最优解,在算法优化的过程中采用了动态交叉,变异算子,提高了粗粒型并行遗传算法的性能。另外针对大容量有源电力滤波器中阻尼电阻能耗过大的问题,用控制方法产生的虚拟电阻去代替实际的阻尼电阻。仿真结果证明了设计的LCL滤波器的优良性能和虚拟电阻的可行性。The LCL output filter of parallel active power filters (PAPF) should meet the three require- ments: dynamic tracing of command current, the maximum current transfer ratio of frequency compensation and adequate suppression to high-frequency switching ripple. The parameters of LCL were optimized by genet- ic algorithm. In order to avoid blind selection of weighting efficient and falling into local optimal solution in the use of traditional weighted coefficient method, the coarse-grained parallel genetic algorithm and dynamic cross- over operator and mutation operator in the process of optimization were used, which can improve the perform- ance of PGA. In addition, solving the problem of excessive energy consumption in high-capacity APF produced by damping resistor, the virtual resistance made by control strategy was used to replace the actual resistance. Simulation results have proved the excellent performance of the designed LCL filter and the feasibility of virtual resistance.
关 键 词:并联有源电力滤波器 LCL滤波器 多目标优化 粗粒度并行遗传算法 虚拟电阻
分 类 号:TN713[电子电信—电路与系统]
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