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Study on the impacts of meteorological factors on distributed photovoltaic accommodation considering dynamic line parameters

DOI:10.1016/j.apenergy.2019.114133 期刊:Applied Energy 出版年份:2019 更新时间:2025-09-11 14:15:04
摘要: During the operation of a distribution network, the meteorological factors (e.g., the wind speed, wind direction, ambient temperature and solar radiation) affect not only the maximum available output of the photovoltaic (PV) plant but also the parameters of the overhead line, such as the resistance and thermal rating. Since the degree to which the PV output can be accommodated is limited by the thermal rating and nodal voltage constraints, the impacts of the meteorological factors should be fully considered in the evaluation of the distributed PV accommodation. However, the resistance and thermal rating of the overhead line are conventionally assumed to be static, resulting in inaccurate PV accommodation evaluation. In this context, this paper explores the impacts of meteorological factors on the distributed PV accommodation by considering the dynamic line parameters. A PV accommodation evaluation model that integrates the temperature-dependent resistance and the dynamic line rating (DLR) is proposed. To solve the model, a power flow algorithm integrating the temperature-dependent resistance is utilized. Case studies over multiple timescales are carried out based on actual meteorological and load data. The results show that the application of DLR increases the power generation and investment benefit of PV plant by 2.59% and 5.05% respectively, and leads to a higher installed PV capacity. Meanwhile, considering the impacts of meteorological factors on the resistance can more accurately prevent the voltage from exceeding the constraint.
作者: Yinxiao Li,Yi Wang,Qixin Chen
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研究概述 实验方案

To analyze the impacts of meteorological factors on the distributed PV accommodation by considering the dynamic line parameters.

The application of DLR can promote PV accommodation, avoid the danger of line overheating and lead to a higher investment benefit and installed PV capacity. Considering the temperature dependence of the resistance can effectively prevent the voltage from exceeding the constraint and avoid overestimation of accommodated PV output.

The paper does not explicitly mention the limitations of the research.

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