混合有源滤波器多目标优化设计

Multi-objective optimal design of hybrid active power filter

针对混合有源滤波器参数设计和投资优化问题,综合考虑其初期投资成本、无功补偿、滤波效果等指标,提出一种基于遗传粒子群复合算法的混合有源滤波器多目标满意优化设计方法,建立起容量配置的多目标数学模型,并运用罚函数理论,将多目标优化转化为单目标优化,使混合有源滤波器容量分配问题简单化,具有更大的适用性和灵活性.然后在电力系统计算机辅助设计/电磁暂态(PSCAD/EMTDC)环境下,对混合有源滤波器进行仿真分析,结果表明此优化设计的混合有源滤波器性价比得到提高.最后,通过实验对比,也验证了理论分析及相关结论的正确性.

In dealing with the parameter design and the investment optimization of hybrid active power filter, we comprehensively consider the price, the reactive power compensation and the filter effect in a new mixed algorithm of genetic theory and particle swarm optimization. On this basis, the multi-objective mathematical model of capacity assignment is created and the penalty function theory is applied; and then, the multi-objective design is converted into a single-objective design, making the capacity assignment simple and flexible. Secondly, simulation analysis is carried on the power systems computer aided design/electromagnetic transients including DC（PSCAD/EMTDC）; the results demonstrate that the cost performance of the hybrid active power filter is improved by using the proposed method. Finally, experimental results and comparison analysis are presented to confirm the above-mentioned method.