Virtual Reality Based Shading Pattern Recognition and Interactive Global Maximum Power Point Tracking in Photovoltaic Systems  

作　　者：Kangshi Wang Jieming Ma Xiao Lu Jingyi Wang Ka Lok Man Kaizhu Huang Xiaowei Huang 

机构地区：[1]School of Advanced Technology,Xi'an Jiaotong-Liverpool University,Suzhou 215123,China [2]Data Science Research Center,Duke Kunshan University,Suzhou 215316,China [3]School of Computer Science,the University of Liverpool,Liverpool,U.K

出　　处：《Journal of Modern Power Systems and Clean Energy》2024年第6期1849-1858,共10页现代电力系统与清洁能源学报(英文)

基　　金：This research was supported by the Suzhou Science and Technology Project-Key Industrial Technology Innovation(No.SYG202122);the XJTLU Postgraduate Research Scholarship(No.PGRS1906004);the XJTLU AI University Research Centre;Jiangsu(Provincial)Data Science and Cognitive Computational Engineering Research Centre.

摘　　要：The performance of photovoltaic(PV)systems is in-fluenced by various factors,including atmospheric conditions,geographical locations,and spatial and temporal characteristics.Consequently,the optimization of PV systems relies heavily on the global maximum power point tracking(GMPPT)methods.In this paper,we adopt virtual reality(VR)technology to visual-ize PV entities and simulate their performances.The integra-tion of VR technology introduces a novel spatial and temporal dimension to the shading pattern recognition(SPR)of PV sys-tems,thereby enhancing their descriptive capabilities.Further-more,we introduce an interactive GMPPT(IGMPPT)method based on VR technology.This method leverages interactive search techniques to narrow down search regions,thereby en-hancing the search efficiency.Experimental results demonstrate the effectiveness of the proposed IGMPPT in representing the spatial and temporal characteristics of PV systems and improv-ing the efficiency of GMPPT.

关 键 词：Photovoltaic(PV)system virtual reality(VR) shading pattern recognition(SPR) global maximum power point tracking(GMPPT) 

分 类 号：TM615[电气工程—电力系统及自动化] TP391.9[自动化与计算机技术—计算机应用技术]