| 引用本文: | 王子欣,苗世洪,郭舒毓,韩佶,殷浩然,毛万登.考虑分布式电源出力随机特性的配电网节点脆弱性评估[J].电力自动化设备,2021,41(8): |
| WANG Zixin,MIAO Shihong,GUO Shuyu,HAN Ji,YIN Haoran,MAO Wandeng.Node vulnerability evaluation of distribution network considering randomness characteristic of distributed generation output[J].Electric Power Automation Equipment,2021,41(8): |
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| 考虑分布式电源出力随机特性的配电网节点脆弱性评估 |
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王子欣1,2, 苗世洪1,2, 郭舒毓1,2, 韩佶1,2, 殷浩然1,2, 毛万登3
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1.华中科技大学 电气与电子工程学院 强电磁工程与新技术国家重点实验室，湖北 武汉 430074;2.电力安全与高效湖北省重点实验室，湖北 武汉 430074;3.国网河南省电力公司电力科学研究院，河南 郑州 450052
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| 摘要: |
| 随着分布式电源的接入及配电网规模的不断扩大，配电网的安全性与可靠性面临挑战，配电网脆弱环节辨识问题亟待解决。考虑分布式电源出力随机性对配电网节点脆弱性的影响，建立基于拉丁超立方抽样的风电与光伏随机出力模型；基于复杂网络理论与配电网辐射状的拓扑条件提出改进节点度、改进介数等节点脆弱度指标；利用分布式电源随机出力模型的采样结果得到节点脆弱度指标的分布特性；提出基于样本修正权重的模糊综合评价方法，对考虑分布式电源出力随机性的配电网节点脆弱性进行分析。改进的IEEE 123节点系统算例结果验证了所提方法的可行性与有效性。 |
| 关键词: 分布式电源 随机性 拉丁超立方抽样 复杂网络理论 脆弱性评估 |
| DOI：10.16081/j.epae.202106013 |
| 分类号:TM711 |
| 基金项目:国家电网有限公司总部科技项目(SGHADK00PJJS2000026) |
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| Node vulnerability evaluation of distribution network considering randomness characteristic of distributed generation output |
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WANG Zixin1,2, MIAO Shihong1,2, GUO Shuyu1,2, HAN Ji1,2, YIN Haoran1,2, MAO Wandeng3
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1.State Key Laboratory of Advanced Electromagnetic Engineering and Technology(AEET),School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;2.Hubei Electric Power Security and High Efficiency Key Laboratory, Wuhan 430074, China;3.Electric Power Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450052, China
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| Abstract: |
| Along with the access of distributed generation and continuous expansion of distribution network scale, the safety and reliability of distribution network face challenges, and the problem of vulnerable link identification for distribution network needs to be solved urgently. Considering the influence of the randomness of distributed generation output on the vulnerability of distribution network nodes, a random output model of wind power and photovoltaic based on Latin hypercube sampling is established. The node vulnerability evaluation indexes of improved node degree, improved betweenness, etc, are proposed based on the complex network theory and radial topological condition of distribution network. The sampling results of random output model of distributed generation are used to obtain the distribution characteristic of node vulnerability index. A fuzzy comprehensive evaluation method based on sample correction weights is proposed to analyze the node vulnerability of distribution network considering the randomness of distributed generation. The feasibility and effectiveness of the proposed method are verified by the case results of an improved IEEE 123-bus system. |
| Key words: distributed power generation randomness Latin hypercube sampling complex network theory vulnerability evaluation |
