| 引用本文: | 丁少倩,林 涛,翟 学,等.基于短路容量的含大规模新能源接入的电网状态脆弱性评估方法研究[J].电力系统保护与控制,2016,44(13):40-47.[点击复制] |
| DING Shaoqian,LIN Tao,ZHAI Xue,et al.Research on state vulnerability assessment method of grid with large scale new energy sources based on short-circuit capability[J].Power System Protection and Control,2016,44(13):40-47[点击复制] |
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| 摘要: |
| 为了准确分析大规模新能源接入电网后负荷节点的运行特性，根据戴维南等值理论，将大规模新能源接入后的电网络等值为3节点系统。在该等值系统的基础上建立了基于短路容量的状态脆弱性评估模型及指标，使状态脆弱性评估体系更完善。在计算所得的状态脆弱性指标的基础上，采用PAM聚类算法和Homogeneity-Separation(HS)评价指标来自动聚类分级后，辨识出系统的脆弱节点。基于该方法，对改造的IEEE39节点算例进行了仿真分析。通过与传统的电压裕度指标评估结果的比较，仿真结果表明，利用短路容量可以准确评估负荷节点的状态脆弱性；且应用PAM聚类算法进行薄弱节点辨识方法的可行性及适用性，具有在线评估的应用前景。 |
| 关键词: 电力系统 状态脆弱性 短路容量 脆弱性评估指标 聚类算法 大规模新能源 |
| DOI：10.7667/PSPC151337 |
| 投稿时间：2015-08-01修订日期：2015-11-04 |
| 基金项目:国家自然科学基金资助项目(51177111);太阳能高效利用湖北省协同创新中心重大专项(HBSZD2014003) |
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| Research on state vulnerability assessment method of grid with large scale new energy sources based on short-circuit capability |
| DING Shaoqian,LIN Tao,ZHAI Xue,XU Xialing,BI Ruyu,QIN Xiaojing |
(School of Electrical Engineering, Wuhan University, Wuhan 430072, China;Central China Electric
Power Dispatching and Communication Center, Wuhan 430077, China) |
| Abstract: |
| In order to accurately analyze the running features of load nodes with large-scale new energy sources access to the grid, according to the Thevenin equivalent theory, the electric network system including large-scale new energy sources can be equivalent to 3 nodes. On the basis of the equivalent system, the state vulnerability assessment method and index based on short-circuit capability for load nodes are built up, which makes the system of state vulnerability assessment more perfect. Based on the results of state vulnerability index, the PAM clustering algorithm and Homogeneity-Separation (HS) index are used to find out the nodes which need more attention. In addition, the improved IEEE-39 node system is simulated and analyzed. The result is compared with that of traditional voltage margin index assessment, simulation shows the effectiveness of this state vulnerability assessment method based on short-circuit capability and the rationality of using the PAM clustering algorithm to identify weak nodes, which have the application of on-line prospect. This work is supported by National Natural Science Foundation of China (No. 51177111). |
| Key words: power system state vulnerability short-circuit capacity vulnerability assessment clustering algorithm large-scale new energy |
