Multi-Objective Optimization of Power Converter Based on MOPSO

doi:10.11985/2018.12.002

Abstract

Abstract:

In order to overcome the conflicts among various objectives in the optimization design of power converters, a multi-objective optimization model of power converters with efficiency, physical size (volume, weight and area) and cost is established as optimization objectives in the paper. The model is solved by using multi-objective particle swarm optimization (MOPSO) algorithm and decision makers can find different compromise optimal solutions in the final set of optimal solutions provided. Vienna rectifier and Buck converter are taken as research objects. Their respective multi-objective optimization functions are established, and introduced into the device database, and the MOPSO algorithm is implemented on Matlab. Simulation results show that the MOPSO algorithm is feasible, coverage and convergence, and it can converge to the optimal solution set in a relatively short time.

Key words: Power converter, MOPSO algorithm, multi-objective optimization

CLC Number:

TM46

Zheng Peiqi,Wang Jiuhe,Chen Qili,Ma Liang. Multi-Objective Optimization of Power Converter Based on MOPSO[J]. Journal of Electrical Engineering, 2018, 13(12): 7-13.

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参数	设定值
种群数	200
迭代次数	200

参数	设定值
输入电压V_in/V	400
输出电压V_o/V	800
开关频率f_sw/Hz	50
系统功率P_o/kW	5

参数	设定值
输入电压V_in/V	12
输出电压V_o/V	1.5
最大输出电流I_o/A	15
开关频率f_sw/kHz	300

方案	功率损耗/W	面积/mm²	成本/元
A	1.82	257.58	14.01
B	4.50	119.62	37.61
C	2.83	197.54	8.00

方案	功率损耗/W	面积/mm²	成本/元
A	1.92	310.64	29.65
B	3.76	119.81	13.95
C	2.65	150.32	10.62