| 引用本文: | 林 芳,肖先勇,张 逸,邱玉涛,吴丹岳.基于暂降信息的监测装置优化配置与系统电压暂降水平评估[J].电力自动化设备,2016,36(5): |
| LIN Fang,XIAO Xianyong,ZHANG Yi,QIU Yutao,WU Danyue.Optimal monitor allocation and system sag level assessment based on sag information[J].Electric Power Automation Equipment,2016,36(5): |
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| 摘要: |
| 利用可获得的监测数据评估电网的电压暂降水平是电能质量领域的重要研究课题。为保证评估结果客观合理，引入暂降信息概念，根据监测或仿真获得的信息构造节点指标向量和系统指标向量，分别刻画节点和系统暂降水平；分析节点指标和系统指标的关系，提出以代表性节点监测代替全网监测实现系统暂降水平评估。以仿真模拟所得节点指标向量为节点分区依据，通过粒子群K均值聚类算法进行节点分区并识别代表性节点；用代表性节点的节点指标向量度量所在分区的电压暂降水平，并通过统计方法估计系统指标向量。IEEE 30节点系统仿真结果表明，所提方法所需监测装置数量少，评估结果准确，对系统故障率和故障分布的变化有良好的适应性。 |
| 关键词: 暂降信息 指标向量 优化配置 粒子群K均值聚类 代表性节点 监测 电能质量 电压暂降 |
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| 基金项目:国家电网公司总部科技项目（电能质量经济损失及节能效益评估关键技术及应用研究）（SGRI-DL -71-15- 006） |
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| Optimal monitor allocation and system sag level assessment based on sag information |
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LIN Fang1, XIAO Xianyong1, ZHANG Yi2, QIU Yutao1, WU Danyue2
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1.School of Electrical Engineering & Information，Sichuan University，Chengdu 610065，China;2.State Grid Fujian Electric Power Research Institute，Fuzhou 350007，China
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| Abstract: |
| It is an important research topic in the field of power quality to assess the sag level of a network based on the available monitoring data. The concept of sag information is introduced to ensure the objectivity and rationality of assessment results. Based on the monitored or simulative information，a site index vector and a system index vector are constructed to describe the site and system sag level respectively. The relationship between site index and system index is analyzed and it is proposed to assess the system sag level by monitoring the representative sites instead of whole system. Based on the site index vector obtained by simulation，the particle swarm K-means clustering algorithm is applied to partition the sites and recognize the representative sites. The site index vector of representative site in a partition is used to measure the sag level of that partition and the statistical method is used to assess the system index vector. The simulative results of IEEE 30-bus system show that，the proposed method needs less monitors，results in accurate assessment and has good adaptability to the system fault rate and fault distribution. |
| Key words: sag information index vector optimal allocation particle swarm K-means clustering representative site monitoring power quality voltage sag |
