摘要
针对LCL滤波器参数选择较难且参数选择得如何会直接影响其滤波性能的问题,提出改进蝴蝶算法(SBOA)的并网逆变器LCL滤波器的参数优化策略。在MATLAB上搭建仿真模型,选择在电容端口串联阻尼电阻,并将纹波电流最小化、谐波衰减最大化、功率损耗低化作为优化目标,再运用线性加权法将其转化为单目标模型,并用熵值权重法来确定各目标的权重系数,最终运用SBOA对单目标函数进行求解。通过仿真,对比改进蝴蝶算法与蝴蝶算法(BOA)、遗传算法(GA)的函数收敛曲线,验证改进蝴蝶算法强大的寻优能力;实验表明,文中设计出的优化策略在确保一定滤波条件下其并网端口的THD和功率损耗P;相比于传统图解法与遗传算法的分别低了1.14%、0.74%以及4.33 W、0.87 W。
Aiming at the problem that the parameter selection of LCL grid-connected filter is complicated and how the parameter selection can directly affect thyine filtering effect, a parameter optimization strategy of LCL grid-connected inverter based on improved butterfly algorithm is put forward. Modeling in MATLAB simulation, the choice in port series damping resistance capacitance, maximizing and minimizing ripple current, harmonic attenuation, low power loss into as the optimization goal, and using the linear weighted method is changed into single objective model, using the entropy weight method to determine the weight coefficient of each target, finally using the improved butterfly algorithm for solving the objective function. Simulation results show that the improved butterfly algorithm, butterfly algorithm and genetic algorithm are compared with the function convergence curve, and the improved butterfly algorithm has outstanding optimization ability. Experiments show that the optimization strategy designed in this paper is 1.14%, 0.74% and 4.33 W and 0.87 W lower than that of the traditional schematic method and the genetic algorithm under certain filtering conditions.
作者
郑旭彬
李梦达
王洋
梁智超
姚林萍
Zheng Xubin;Li Mengda;Wang Yang;Liang Zhichao;Yao Linping(School of Electrical Engineering,Shanghai Dianji University,Shanghai 201306,China)
出处
《电子测量技术》
北大核心
2022年第8期14-20,共7页
Electronic Measurement Technology
基金
国家自然科学基金(62003206)
上海市科学委员会科研项目(17DZ1201200)资助。
关键词
LCL滤波器
蝴蝶优化算法
线性加权法
参数设计
LCL filter
butterfly optimization algorithm
linear weighting method
parameter optimization design
