引用本文:肖先勇,谭亚欧,胡文曦,汪颖.电压暂降系统指标的监测节点数量选择与评估方法[J].电力自动化设备,2020,40(0):
XIAO Xianyong,TAN Yaou,HU Wenxi,WANG Ying.Monitoring node number selection and assessment method of voltage sag system index[J].Electric Power Automation Equipment,2020,40(0):
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电压暂降系统指标的监测节点数量选择与评估方法
肖先勇, 谭亚欧, 胡文曦, 汪颖
四川大学 电气工程学院,四川 成都 610065
摘要:
准确评估电压暂降水平是理解与改善电压暂降问题的前提。虽然IEEE Std 1564 — 2014标准已为电压暂降系统指标的计算提供了建议,但考虑实际电网无法在所有节点均安装监测装置,如何确定其数量并提出适用于不均匀数据的评估方法是尚未解决的难题。为此,针对监测节点数量与抽样方法的确定展开研究。考虑实际电网监测数据存在分布不均匀的问题,提出一种改进的密度偏差抽样方法。基于误差幅度指标,建立满足不同给定误差要求下的监测节点数量解析式。基于监测节点样本数据,采用均值方法计算得到系统指标的估计值。IEEE 118节点系统的仿真结果表明,所提方法既能够在抽样过程中保留原始监测数据的电压暂降信息,又能基于给定误差得到评估所需监测节点数量的估算值;相比于现有系统指标评估方法,所提评估方法具有更小的估计误差。
关键词:  电压暂降  系统指标  监测节点数量  密度偏差抽样  评估方法
DOI:10.16081/j.epae.202009024
分类号:TM761
基金项目:国家自然科学基金资助项目(51807126)
Monitoring node number selection and assessment method of voltage sag system index
XIAO Xianyong, TAN Yaou, HU Wenxi, WANG Ying
College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Abstract:
Accurate evaluation of voltage sag level is the premise of understanding and improving voltage sag. Although IEEE Std 1564-2014 has provided recommendations for the calculation of voltage sag system index, considering that the actual power grid cannot install monitoring devices at all nodes, how to determine the monitoring node number and propose an assessment method suitable for non-uniform data is an unsolved question. Therefore, the determination method of monitoring node number and sampling method is studied. Considering the uneven distribution problem of actual power grid monitoring data, an improved density biased sampling method is proposed. Based on the error margin index, the analytical formula for the number of monitoring nodes is established to meet the requirements of different given errors. Based on the sample data of monitoring nodes, the mean value method is used to calculate the estimated value of system index. Simulative results of IEEE 188-bus system show that the proposed method can not only retain the voltage sag information of original monitoring data in the sampling process, but also can obtain the estimated value of monitoring node number required for assessment based on the given errors. Compared with the existing assessment methods, the proposed method has smaller assessment error.
Key words:  voltage sag  system index  number of monitoring nodes  density biased sampling  assessment method

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