基于惩罚变权的RDA同期线损数据质量评估模型

doi:10.11930/j.issn.1004-9649.202003151

中国电力 ›› 2020, Vol. 53 ›› Issue (12): 223-231.DOI: 10.11930/j.issn.1004-9649.202003151

基于惩罚变权的RDA同期线损数据质量评估模型

王方雨¹, 刘文颖¹, 陈鑫鑫¹, 王维洲², 行舟²

1. 新能源电力系统国家重点实验室（华北电力大学），北京 102206;
2. 国网甘肃省电力公司，甘肃兰州 730050

收稿日期:2020-03-23 修回日期:2020-06-15 发布日期:2020-12-16
作者简介:王方雨(1992—)，男，通信作者，博士研究生，从事同期线损数据分析、电力系统安全稳定分析研究，E-mail：18001201352@163.com;刘文颖(1955—)，女，教授，博士生导师，从事电力系统分析与控制、新能源电力系统特性与多能互补、大电网线损分析等研究，E-mail：liuwenyingls@sina.com
基金资助:
国家电网公司科技项目(SGGSKY00DJJS1800083)；国家重点研发计划资助项目(2018YFE0208400)

Evaluation Model of Synchronous Line Loss Data Quality Based on Penalty Variable Weight RDA

WANG Fangyu¹, LIU Wenying¹, CHEN Xinxin¹, WANG Weizhou², XING Zhou²

1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University), Beijing 102206, China;
2. State Grid Gansu Electric Power Company, Lanzhou 730050, China

Received:2020-03-23 Revised:2020-06-15 Published:2020-12-16
Supported by:
This work is supported by Science and Technology Project of SGCC (No.SGGSKY00DJJS1800083)，National Key R & D Program of China (No.2018YFE0208400)

摘要/Abstract

摘要： 同期线损数据质量评估对线损数据治理、线损分析至关重要。针对目前线损数据质量评估中评估准确率和评估效率不可兼得的矛盾，提出基于惩罚变权的“秩和”差异评估（rank difference assessment，RDA）同期线损数据质量评估模型。首先，基于传统“秩和”检验不依赖样本容量大小和指标选取的特点，建立“秩和”差异评估（RDA），以正“秩和”统计量直接对同期线损与理论线损在相同时间尺度下的电量差值数据序列进行整体数据质量评估；其次，以“秩和”差异数据序列的差异概率密度函数为指数，对“秩和”差异评估模型的权值进行修正，建立基于惩罚变权的RDA同期线损数据质量评估模型，综合考虑异常数据数量及异常幅度对数据质量评估的影响程度，对RDA评估值进行修正。该方法既不依赖指标选取，可以准确评估，又不依赖样本容量，评估效率较高。最后，以甘肃实际运行数据进行的仿真结果表明，所提惩罚变权评估模型对同期线损数据质量评估的有效性和优越性。

关键词: 同期线损, 数据质量评估, “秩和”差异评估, 惩罚变权

Abstract: The evaluation of synchronous line loss data quality is very important for line loss data management and line loss analysis. In view of the contradiction between the accuracy and efficiency of line loss data quality evaluation, a novel evaluation model of line loss data quality based on penalty variable weight “rank sum” difference assessment (RDA) is proposed. Firstly, based on the traditional “rank sum” test, which does not depend on sample size and index selection, a RDA model is established to directly evaluate the overall quality of synchronous line loss data. Secondly, using the difference probability density function of the “rank sum” difference data series as the index, the weight of RDA is modified, with consideration of the influence of the number and magnitude of abnormal data on the data quality evaluation. And the method does not depend on the selection of indicators and the sample size. Finally, the simulation of Gansu grid actual operation data proves the validity and superiority of the evaluation model of synchronous line loss data quality based on penalty variable weight RDA proposed in this paper.

Key words: synchronous line loss, data quality evaluation, "rank sum" difference assessment, penalty variable weight

王方雨, 刘文颖, 陈鑫鑫, 王维洲, 行舟. 基于惩罚变权的RDA同期线损数据质量评估模型[J]. 中国电力, 2020, 53(12): 223-231.

WANG Fangyu, LIU Wenying, CHEN Xinxin, WANG Weizhou, XING Zhou. Evaluation Model of Synchronous Line Loss Data Quality Based on Penalty Variable Weight RDA[J]. Electric Power, 2020, 53(12): 223-231.

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https://www.electricpower.com.cn/CN/Y2020/V53/I12/223

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基于惩罚变权的RDA同期线损数据质量评估模型

Evaluation Model of Synchronous Line Loss Data Quality Based on Penalty Variable Weight RDA

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基于惩罚变权的RDA同期线损数据质量评估模型

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