Impact of Renewable Energy Sources Output Fluctuation on Grid Structure Vulnerability and Its Countermeasures

Yanqi ZHANG; Tao LIN; Ruyu BI; Mingzhen YANG; Yibiao SHENG; Xunzhe WANG

doi:10.16513/j.cnki.10-1427/tk.2017.05.006

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Distributed Energy ›› 2017, Vol. 2 ›› Issue (5) : 36-40. DOI: 10.16513/j.cnki.10-1427/tk.2017.05.006

Basic Research

Impact of Renewable Energy Sources Output Fluctuation on Grid Structure Vulnerability and Its Countermeasures

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Abstract

Structural vulnerability is an electrical term description of a network topology that can remain intact and continues to maintain normal operational capability when the system fails. Recent years, a large number of renewable energy sources are incorporated into the power grid. However, because of the characteristics of output fluctuation, the renewable energy sources will change the structural vulnerability of the power grid when it runs. So it is essential to assess the structural vulnerability of the power grid which contains renewable energy sources. This paper first calculates the overall structural vulnerability index of the grid by calculating the average of the structural vulnerability indexes of each line；then, based on the Monte Carlo method, analyzes the expectation and variance of the overall structural vulnerability index when output fluctuates and guides how to select the sources for power balance adjustment. Finally, choosing the IEEE-39 node system accessing renewable energy source as an example, this paper verifies the validity and feasibility of the proposed method and proves that it has a good guiding significance for the safety and stable operation of the power grid with containing renewable energy sources, and for the prevention of accidents.

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overall structural vulnerability / output fluctuation / renewable energy sources

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Yanqi ZHANG , Tao LIN , Ruyu BI , et al . Impact of Renewable Energy Sources Output Fluctuation on Grid Structure Vulnerability and Its Countermeasures[J]. Distributed Energy Resources. 2017, 2(5): 36-40 https://doi.org/10.16513/j.cnki.10-1427/tk.2017.05.006

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	林涛，范杏元，徐遐龄. 电力系统脆弱性评估方法研究综述[J]. 电力科学与技术学报，2010，25(4):20-24. LIN Tao, FAN Xingyuan, XU Xialing. Summary of power system vulnerability assessment methods[J]. Journal of Electric Power Science and Technology，2010，25(4):20-24. Cited in this article [1]

[2]	党岳. 经济新常态下我国能源结构的研究[J]. 应用能源技术，2015(12):1-3. DANG Yue. Research on the energy structure in China under the new normal economy[J]. Applied Energy Technology，2015(12):1-3. Cited in this article [1]

[3]	ANDUJAR J M, SEGURA F, DOMINGUEZ T. Study of a renewable energy sources-based smart grid：requirements，targets and solutions[C]//2016 3rd Conference on Power Engineering and Renewable Energy （ICPERE），Yogyakarta Indonesia，2016. Cited in this article [1]

[4]	高泽，杨建华. 新能源发电现状概述与分析[J]. 中外能源，2014，19(10):31-36. GAO Ze, YANG Jianhua. Overview and analysis of new energy generation[J]. Sino-global Energy，2014，19(10):31-36. Cited in this article [1]

[5]	WU Geng, ZENG Ming, PENG Lilin，et al. China's new energy development：Status，constraints and reforms[J]. Renewable and Sustainable Energy Reviews，2016(53):885-896. Cited in this article [1]

[6]	谭玉东. 复杂电力系统脆弱性评估方法研究[D]. 长沙：湖南大学，2013. TAN Yudong. Research on complex power system vulnerability assessment methods[D]. Changsha：Hunan University，2013. Cited in this article [2]

[7]	丁明，韩平平. 加权拓扑模型下的小世界电网脆弱性评估[J]. 中国电机工程学报，2008，28(10):20-25. DING Ming, HAN Pingping. Vulnerability assessment to small-world power grid based on weighted topological model[J]. Proceedings of the CSEE，2008，28(10):20-25. Cited in this article [2]

[8]	ZHANG Kan, JIANG Fei, NIU Yunyun，et al. Structural vulnerability analysis in complex networks based on core theory[C]//IEEE International Conference on Data Science in Cyberspace （DSC），Changsha，China，2016. Cited in this article [2]

[9]	曹一家，陈晓刚，孙可. 基于复杂网络理论的大型电力系统脆弱线路辨识[J]. 电力自动化设备，2006，26(12):1-5. CAO Yijia, CHEN Xiaogang, SUN Ke. Large power system vulnerability line identification based on complex network theory[J]. Electric Power Automation Equipment，2006，26(12):1-5. Cited in this article [3]

[10]	ALIM M A, NGUYEN N P, DINH T N，et al. Structural vulnerability analysis of overlapping communities in complex networks[C]//2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence （WI） and Intelligent Agent Technologies （IAT），Warsaw ，Poland，2014. Cited in this article [2]

[11]	唐强. 电力系统脆弱性评估方法研究[D]. 武汉：华中科技大学，2012. TANG Qiang. Research on power system vulnerability assessment methods[D]. Wuhan：Huazhong University of Science & Technology，2012. Cited in this article [1]

[12]	赵莹莹，赵洪山. 电网脆弱性评估方法[J]. 山东电力技术，2009(5):21-27. ZHAO Yingying, ZHAO Hongshan. Vulnerability assessment of power systems[J]. Shandong Electric Power，2009(5):21-27. Cited in this article [1]

[13]	谢春瑰，方菲，吕项羽，等. 电网脆弱性评估方法研究[J]. 电网与清洁能源，2013，29(5):35-38. XIE Chungui, FANG Fei, LÜ Xiangyu，et al. Research on power grid vulnerability assessment methods[J]. Power System and Clean Energy，2013，29(5):35-38. Cited in this article [1]