基于多元宇宙优化算法的混合光伏-热电系统MPPT设计

基于多元宇宙优化算法的混合光伏-热电系统MPPT设计

混合光伏-热电(centralized hybrid photovoltaic thermoelectric generator,PV-TEG)系统在部分遮蔽(partial shading condition,PSC)条件下呈现多个局部最大功率点(local maximum power point,LMPP).采用多元宇宙优化算法(multi-verse optimization,MVO),用于PV-TEG系统在PSC下的最大功率点跟踪(maximum power point tracking,MPPT).MVO通过平衡全局搜索和局部搜索,有效识别多个LMPPs中唯一的全局最大功率点(glo...

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Veröffentlicht in:中国电力 2023, Vol.56 (11), p.197-205
Hauptverfasser: 李大虎, 周泓宇, 周悦, 饶渝泽, 姚伟
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container_end_page 205
container_issue 11
container_start_page 197
container_title 中国电力
container_volume 56
creator 李大虎
周泓宇
周悦
饶渝泽
姚伟
description 混合光伏-热电(centralized hybrid photovoltaic thermoelectric generator,PV-TEG)系统在部分遮蔽(partial shading condition,PSC)条件下呈现多个局部最大功率点(local maximum power point,LMPP).采用多元宇宙优化算法(multi-verse optimization,MVO),用于PV-TEG系统在PSC下的最大功率点跟踪(maximum power point tracking,MPPT).MVO通过平衡全局搜索和局部搜索,有效识别多个LMPPs中唯一的全局最大功率点(global maximum power point,GMPP),避免搜索结果陷入LMPP,以提高发电效率和能源利用率.算例仿真结果表明:基于MVO的MPPT可以在更短的时间内收集到更高的功率,实现功率波动最小.
doi_str_mv 10.11930/j.issn.1004-9649.202210127
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title 基于多元宇宙优化算法的混合光伏-热电系统MPPT设计
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