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High-Reliability Photovoltaic Converter Based on Improved PSO Algorithm 被引量：2

High-Reliability Photovoltaic Converter Based on Improved PSO Algorithm
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摘要 An improved particle swarm optimization(PSO)algorithm based on dynamic inertia weight and adjustment coefficient is proposed in this paper.The expressions of inertia weight and adjustment coefficient are established based on inter-particle distance and iterations.The improved algorithm is applied to a novel two-stage photovoltaic(PV)converter.The later DC/AC circuit chooses a dual-DC-input multi-level dual-buck inverter.This converter has the advantages of no shoot-through problem and high efficiency.Finally,the validity and effectiveness of the algorithm and the converter are verified with experimental results. An improved particle swarm optimization(PSO)algorithm based on dynamic inertia weight and adjustment coefficient is proposed in this paper.The expressions of inertia weight and adjustment coefficient are established based on inter-particle distance and iterations.The improved algorithm is applied to a novel two-stage photovoltaic(PV)converter.The later DC/AC circuit chooses a dual-DC-input multi-level dual-buck inverter.This converter has the advantages of no shoot-through problem and high efficiency.Finally,the validity and effectiveness of the algorithm and the converter are verified with experimental results.
作者 Yang Jingfan Ge Hongjuan Yang Fan
机构地区 College of Automation
出处 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2018年第S1期68-74,共7页 南京航空航天大学学报（英文版）
关键词 HIGH RELIABILITY PHOTOVOLTAIC CONVERTER PSO ALGORITHM high reliability photovoltaic converter PSO algorithm
分类号 TM615 [电气工程—电力系统及自动化]
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Transactions of Nanjing University of Aeronautics and Astronautics
2018年 第S1期

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