热力发电2018,Vol.47Issue(2):78-84,7.DOI:10.19666/j.rlfd.201705039
基于PSO-PSA的光伏系统最大功率点跟踪技术
Maximum power point tracking technology based on hybrid algorithm of PSO and PSA for photovoltaic systems
摘要
Abstract
The constant voltage tracking (CVT) method usually neglects the change of external conditions during the maximum power point tracking (MPPT) process,to enhance the tracking accuracy and electricity generation efficiency of the photovoltaic systems,an MPPT method for photovoltaic (PV) system based on the hybrid algorithm using particle swarm optimization (PSO) algorithm and pattern search algorithm (PSA) was proposed.Simulation and analysis on the PV cell model were carried out,and the output characteristic curves under the change of external conditions were plotted to observe the effects of environmental condition change on the maximum power point.The convergence rate,accuracy and stability in the process of solving benchmark function were compared with that of the PSO algorithm,to verify the effectiveness of the PSO-PSA method.Then the outputs of the simulation model and hybrid algorithm optimization in different environments were compared,which verified that the latter has a higher accuracy.Finally,to match the dynamic output of the model and the theoretical calculating value,the control structure based on the PSO-PSA and PV array was combined and applied to the Boost circuit,which achieved the maximum power point tracking effectively.The results show the PSO-PSA-based MPPT technology for PV system has reasonable technology basis and high tracking accuracy,which compensates the lack of energy waste when using the CVT method.关键词
光伏系统/最大功率点跟踪/光伏阵列/Boost电路/PSO-PSA/恒定电压法/Rastrigrin函数/跟踪精度Key words
photovoltaic system/maximum power point tracking/PV array/Boost circuit/PSO-PSA/constant voltage tracking method/Rastrigrin function/tracking accuracy分类
信息技术与安全科学引用本文复制引用
郑伟,陈仕彬,梁福波,魏乔,章云..基于PSO-PSA的光伏系统最大功率点跟踪技术[J].热力发电,2018,47(2):78-84,7.基金项目
国网甘肃省电力公司科技项目(522722140042)the Science and Technology Project of State Grid Gansu Electric Power Company of China Grant (522722140042) (522722140042)