内蒙古电力技术2024，Vol.42Issue(3)：83-88,6.DOI:10.19929/j.cnki.nmgdljs.2024.0044
基于主网理论计算数据反演的异常量测辨识
Identification of Abnormal Measurements Based on Main Network Theoretical Calculation Data Inversion
张钊 1张永江 1钱佳1
作者信息
- 1. 国网上海嘉定供电公司,上海 201800
- 折叠
摘要
Abstract
This paper proposes an algorithm to recognize the abnormal measurement data of the system based on the inversion of the data calculated by the main network theory.The algorithm uses the main network theory to calculate the amount of power deviation as an effective index,which can quickly locate the potential minimum electric system area of abnormal measurement and then effectively identify the abnormal measurement point data.The detailed algorithm strategy and application effect are given through typical examples.The algorithm can efficiently identify the electrical abnormal measurements that may cause inaccurate state estimation results,and obtain the state estimation values with high credibility after measurement management,maximize the accuracy of the source data,and provide reliable data for the main network′s theoretical line loss data management and application enhancement.关键词
理论计算/数据反演/量测/辨识/主网/状态估计Key words
theoretical calculation/data inversion/measurement/identification/main power grid/state estimation分类
动力与电气工程引用本文复制引用
张钊,张永江,钱佳..基于主网理论计算数据反演的异常量测辨识[J].内蒙古电力技术,2024,42(3):83-88,6.
