光伏发电系统容配比与功率限值整定方法

张波, 高远, 王磊, 李铁成, 胡雪凯

太阳能学报 ›› 2024, Vol. 45 ›› Issue (7) : 532-539.

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (7) : 532-539. DOI: 10.19912/j.0254-0096.tynxb.2023-0430

光伏发电系统容配比与功率限值整定方法

  • 张波1, 高远1, 王磊2, 李铁成2, 胡雪凯2
作者信息 +

CAPACITY RATIO AND VARIBLE POWER POINT TRACKING CONTROL LIMIT SETTING METHOD FOR PHOTOVOLTAIC POWER GENERATION SYSTEM

  • Zhang Bo1, Gao Yuan1, Wang Lei2, Li Tiecheng2, Hu Xuekai2
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文章历史 +

摘要

为在保证系统可靠运行的前提下实现光伏发电系统发电量最大化,提出一种以光伏发电系统度电成本为目标的容配比与变功率限值整定方法,分析容配比和变功率限值对光伏逆变器可靠性以及系统发电量的影响规律,建立考虑功率器件寿命的光伏发电系统容配比与功率限值参数优化整定模型,并利用启发式算法进行模型求解。最后,不同纬度地区的算例分析结果验证所提整定方法的有效性。

Abstract

In order to maximize the power generation of photovoltaic power generation system under the premise of ensuring the reliable operation of the system, a capacity ratio and variable power limit setting method based on the cost of photovoltaic power system is proposed. The influence of capacity ratio and variable power limit on the life of photovoltaic inverter and the power generation of the system is analyzed. The optimal setting model of capacity ratio and power limit parameters of photovoltaic power generation system considering the lifetime of power devices is established, and the optimal capacity ratio and power limit are obtained by using differential evolution algorithm to solve the model. The analysis results of examples in different latitudes verify the effectiveness of the proposed method.

关键词

光伏发电系统 / 启发式算法 / 可靠性 / 容配比 / 功率限值

Key words

photovoltaic power system / heuristic algorithms / reliability / capacity ratio / power limit

引用本文

导出引用
张波, 高远, 王磊, 李铁成, 胡雪凯. 光伏发电系统容配比与功率限值整定方法[J]. 太阳能学报. 2024, 45(7): 532-539 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0430
Zhang Bo, Gao Yuan, Wang Lei, Li Tiecheng, Hu Xuekai. CAPACITY RATIO AND VARIBLE POWER POINT TRACKING CONTROL LIMIT SETTING METHOD FOR PHOTOVOLTAIC POWER GENERATION SYSTEM[J]. Acta Energiae Solaris Sinica. 2024, 45(7): 532-539 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0430
中图分类号: TM464   

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基金

河北省自然科学基金(E2022502059); 国网河北省电力有限公司电力科学研究院科技项目(kj2022-021)

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