考虑环境影响的漂浮式光伏关键部件性能预测研究
Research on Performance Prediction of Floating Photovoltaic Key Components Considering Environmental Impact
刘博 1李刚 1刘诚 2柳振海 1魏坤仑2
作者信息
- 1. 中国电力工程顾问集团有限公司,北京 100120
- 2. 中国电器科学研究院股份有限公司,工业产品环境适应性全国重点实验室,广州 510663
- 折叠
摘要
近海环境的严苛条件对光伏关键部件的耐候性提出了挑战,基于故障树模型对关键部件进行故障模式分析,以及性能预测研究,有助于提升漂浮式光伏的环境适应性与服役可靠性,对漂浮式光伏的可持续发展至关重要.本文研究了将电连接器在海洋环境下的故障树模型转换为有向无环网络,构建光伏电连接器贝叶斯概率关系图,并对光伏系统服役环境下的腐蚀数据、盐雾数据与温度数据进行分析,得到光伏电站性能在海洋环境下的影响趋势分析;以及基于温度、湿度和盐雾环境影响下的趋势关系建立光伏关键部件性能预测模型,并对未来的研究方向进行了展望.
Abstract
The demanding conditions of the offshore environment present significant challenges to the durability of crucial photovoltaic(PV)components.By conducting failure mode analysis and performance prediction research on these key components using the fault tree model,we can enhance the environmental adaptability and service reliability of floating PV systems.This enhancement is pivotal for the sustainable development of floating PV technology.In this paper,we convert the fault tree model for electrical connectors in the marine environment into a directed acyclic network and construct a Bayesian probability relationship diagram for photovoltaic electrical connectors.Furthermore,we analyze corrosion data,salt spray data,and temperature data collected from the photovoltaic system in its operational environment.Through this analysis,we derive trends that illustrate the impact of the marine environment on the performance of photovoltaic stations.Additionally,we establish a performance prediction model for key photovoltaic components based on these trends,considering the influence of temperature,humidity,and salt spray conditions.Finally,we provide an outlook for future research directions in this field.
关键词
环境/漂浮式光伏/部件/性能预测Key words
environment/floating photovoltaics/components/performance prediction引用本文复制引用
基金项目
中国能源建设股份有限公司重大科技项目(CEEC2022-ZDYF-04)
出版年
2024
NETL
NSTL
万方数据