针对混合有源滤波器参数设计问题,提出基于粒子群优化算法的混合滤波装置的多目标优化设计方法。建立混合有源滤波器的多目标满意优化模型,综合考虑系统成本、无功补偿容量及滤波效果等因素,并将滤波器对于失谐因素影响的鲁棒性测试作为一个约束条件放在优化过程中进行判决,以提高设计结果的实用性。通过将各个子目标函数模糊化,并选择最大关联满意度作为最后的寻优变量,解决了多目标优化问题。仿真与模拟实验结果表明:采用该优化设计方法设计的混合有源滤波器可以同时满足成本、谐波抑制以及无功补偿多方面要求,而且该优化设计方法算法简单、操作方便。
For the parameters design of hybrid active power filter(HAPF),a multi-objective optimal design method was proposed based on particle swarm optimization(PSO).A multi-objective satisfying optimal model for HAPF was built,and it took the capacity of reactive power compensation,the original investment and the harmonic distortion as three objectives.Furthermore,the detuning effects were considered as a restriction during the optimization process,which enhanced the practicability of the design results.And the multi-objective optimization problem was solved by fuzzifying the sub-objectives and selecting the max relevant degree as the final optimal variable.Finally the simulation and analogical spot experiment results verified that the proposed optimal HAPF can satisfy the investment,harmonic suppression and reactive power compensation requirements at the same time.And its was very convenient to operate and realize the proposed optimal design method.