标题:An improved strategy for reconstruction of PV arrays based on irradiance equalization
作者:Yu, Hao ;Hou, Meiyi ;Zhu, Zhen ;Gao, Hao ;Huyan, Tianliang
作者机构:[Yu, Hao ;Hou, Meiyi ;Zhu, Zhen ;Gao, Hao ;Huyan, Tianliang ] Shandong University, School of Electrical Engineering, Jinan, China
会议名称:5th Asia Conference on Power and Electrical Engineering, ACPEE 2020
会议日期:4 June 2020 through 7 June 2020
来源:Proceedings - 2020 5th Asia Conference on Power and Electrical Engineering, ACPEE 2020
出版年:2020
页码:1072-1079
DOI:10.1109/ACPEE48638.2020.9136457
关键词:Irradiance; Photovoltaic; Reconstruction; TCT
摘要:Under partially shaded conditions, the output power of the photovoltaic (PV) array will be greatly reduced and the PV characteristic curve get more complex with multiple peaks. The above problems can be solved by means of reconstruction of PV arrays. Most of the existing reconstruction strategies are based on irradiance equalization, and all modules in the array are involved in the operation after reconstruction. However, all modules participating in the operation may not maximize the output power of the PV array if the irradiance of some modules differs greatly from others. Hence, this paper establishes the mathematical model of total-cross-tied (TCT) array and proposes an improved PV array reconstruction strategy based on irradiance equalization. The new strategy determines the modules in the array that need to be out of operation by means of power comparison, thus optimizing the output power and making the power curve smoother. On this foundation, this paper proposes a corresponding maximum power point tracking method based on the improved reconstruction strategy. Finally, by establishing simulation models with analysis in Matlab/Simulink simulation environment, this paper verifies the effectiveness and feasibility of this improved reconstruction method. © 2020 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088556525&doi=10.1109%2fACPEE48638.2020.9136457&partnerID=40&md5=23d5ddd9bd1120ef853b6565cc408056
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