参考文献
[1]朱晔, 任洛卿, 周德群, 等. 新型电力系统与综合能源服务的关系及未来发展建议[J]. 中国软科学, 2022, 383(11): 2025[2]辛耀中. 重要工业控制系统网络安全防护体系[J]. 信息安全研究, 2022, 8(6): 528533[3]张智刚, 康重庆. 碳中和目标下构建新型电力系统的挑战与展望[J]. 中国电机工程学报, 2022, 42(8): 28062819[4]谭忠富, 李云峰. 碳中和目标下以新能源为主体的新型电力系统体系构建[J]. 中国电力企业管理, 2021 (34): 5253[5]胡钋, 李莉莉. 智能电网的信息物理安全综述[J]. 信息安全研究, 2019, 5(12): 10681075[6]余晓光, 余滢鑫, 阳陈锦剑, 等. 安全技术在5G智能电网中的应用[J]. 信息安全研究, 2021, 7(9): 815821[7]Ciapessoni E, Cirio D, Pirovano G, et al. Modeling the overhead line vulnerability to combined wind and snow loads for resilience assessment studies[C] Proc of 2021 IEEE Madrid PowerTech. Piscataway, NJ: IEEE, 2021: 16[8]Han H, Wu C, Gao S, et al. An assessment approach of the power system vulnerability considering the uncertainties of wind power integration[C] Proc of 2018 China Int Conf on Electricity Distribution (CICED). Piscataway, NJ: IEEE, 2018: 741745[9]Li L, Liu Z, Tan M, et al. Interval electrical betweenness method for power grid vulnerability assessment considering wind power[C] Proc of 2019 IEEE Innovative Smart Grid Technologies—Asia (ISGT Asia). Piscataway, NJ: IEEE, 2019: 38723877[10]Zhou M, Liu C, Abiri Jahromi A, et al. Revealing vulnerability of N1 secure power systems to coordinated cyberphysical attacks[JOL]. 2022 [20230205]. https:ieeexplore.ieee.orgdocument9763039[11]Chen K, Zheng N, Cai Q, et al. Cyberphysical power system vulnerability analysis based on complex network theory[C] Proc of the 6th Asia Conf on Power and Electrical Engineering (ACPEE). Piscataway, NJ: IEEE, 2021: 482486[12]Kumar E S, Sarkar B. Reliability and vulnerability analysis of solar photovoltaic modules and systems[C] Proc of 2013 Annual Int Conf on Emerging Research Areas and 2013 Int Conf on Microelectronics, Communications and Renewable Energy. Piscataway, NJ: IEEE, 2013: 17[13]Dhabai P, Tiwari N. Effect of stochastic nature and location change of wind and solar generation on transmission lattice power flows[C] Proc of 2020 Int Conf for Emerging Technology (INCET). Piscataway, NJ: IEEE, 2020: 15[14]楚胜楠. 电力SCADA系统脆弱性分析与网络安全风险评估研究[D]. 北京: 华北电力大学, 2015[15]丁梁, 黄建杨, 徐恩, 等. 考虑复杂环境特性的电网线路脆弱性综合评估与结构优化分析[J]. 电力系统保护与控制, 2021, 49(13): 105113[16]林攀, 吴佳毅, 黄涛, 等. 电力系统脆弱性评估综述[J]. 智慧电力, 2021, 49(1): 2228[17]Hu L, Li X, Zhai L. Identification of critical nodes in power system under the influence of new energy sources[C] Proc of the 4th Int Conf on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE). Piscataway, NJ: IEEE, 2021: 294297[18]刘梦. 消纳大规模风电对智能电网脆弱性的影响度研究[D]. 北京: 华北电力大学, 2018[19]张尧, 王建楠. 无人机飞行训练资源配置效率的AHPArena综合评价方法[J]. 国防科技大学学报, 2022, 44(4): 204212[20]Sarfraz M S, Koulakis M, Seibold C, et al. Hierarchical nearest neighbor graph embedding for efficient dimensionality reduction[C] Proc of the IEEECVF Conf on Computer Vision and Pattern Recognition (CVPR). Piscataway, NJ: IEEE, 2022: 336345
|