中国清洁能源基地多时间尺度互补网络及鲁棒性研究

李昕媛; 任康; 郑霞忠

doi:10.19912/j.0254-0096.tynxb.2024-1241

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (7) : 307-317. DOI: 10.19912/j.0254-0096.tynxb.2024-1241

第二十七届中国科协年会学术论文

中国清洁能源基地多时间尺度互补网络及鲁棒性研究

李昕媛^1,2, 任康^1,2, 郑霞忠^1,2

作者信息 +

STUDY ON MULTI-TIME SCALE COMPLEMENTARY NETWORKS AND ROBUSTNESS IN CHINA’S CLEAN ENERGY BASES

Li Xinyuan^1,2, Ren Kang^1,2, Zheng Xiazhong^1,2

Author information +

文章历史 +

摘要

以中国九大清洁能源基地为研究对象,分析新能源基地的装机和出力特征,构建清洁能源基地多时间尺度新能源出力的互补网络模型,研究互补网络结构的鲁棒性及其在清洁能源协同发展中的关键作用,揭示清洁能源基地在多时间尺度上的互补机制。研究结果表明,不同时间尺度上的新能源出力及互补网络存在明显差异,以月为时间尺度的互补网络平均聚类系数为0.74,显示出该网络具有较高的聚类特性;新疆清洁能源基地是日尺度网络中最重要的节点,而黄河几字弯清洁能源基地是年内和年际尺度网络中最重要的节点;在日内、年内和年际尺度下,松辽清洁能源基地、黄河几字弯清洁能源基地、黄河上游清洁能源基地对网络鲁棒性影响较大。

Abstract

This study focuses on China’s nine major clean energy bases, analyzing the installed capacities and output characteristics of the bases. We constructed a complementary network model for clean energy output at multiple time scales and studied the robustness of the complementary network and its key role in the coordinated development of clean energy. Our findings reveal the complementary mechanisms among clean energy bases across different time scales. The results indicate that there are significant differences in renewable energy outputs and complementary networks across different time scales. The average clustering coefficient of the complementary network at the monthly time scale is 0.74, indicating a high clustering degree. The Xinjiang clean energy base is the most important node in the daily-scale network, while the Yellow River Bend clean energy base plays a crucial role in the annual and interannual-scale networks. Additionally, the Songliao, Yellow River Bend, and Yellow River upstream clean energy base have a significant impact on network robustness at the intraday, annual, and interannual scales.

导出引用

李昕媛, 任康, 郑霞忠. 中国清洁能源基地多时间尺度互补网络及鲁棒性研究[J]. 太阳能学报. 2025, 46(7): 307-317 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1241

Li Xinyuan, Ren Kang, Zheng Xiazhong. STUDY ON MULTI-TIME SCALE COMPLEMENTARY NETWORKS AND ROBUSTNESS IN CHINA’S CLEAN ENERGY BASES[J]. Acta Energiae Solaris Sinica. 2025, 46(7): 307-317 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1241

中图分类号： TM73

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