全球能源互联网（英文）Issue(5)：551-563,13.DOI:10.1016/j.gloei.2022.10.009
基于状态估计方法和计量数据的潮流计算研究
Energy flow problem solution based on state estimation approaches and smart meter data
安德鲁?帕兹德林 1伊利亚?波利亚科夫 1弗拉迪斯拉夫?萨莫伊连科1
作者信息
摘要
Abstract
Accurate electric energy (EE) measurements and billing estimations in a power system necessitate the development of an energy flow distribution model. This paper summarizes the results of investigations on a new problem related to the determination of EE flow in a power system over time intervals ranging from minutes to years. The problem is referred to as the energy flow problem (EFP). Generally, the grid state and topology may fluctuate over time. An attempt to use instantaneous (not integral) power values obtained from telemetry to solve classical electrical engineering equations leads to significant modeling errors, particularly with topology changes. A promoted EFP model may be suitable in the presence of such topological and state changes. Herein, EE flows are determined using state estimation approaches based on direct EE measurement data in Watt-hours (Volt-ampere reactive-hours) provided by electricity meters. The EFP solution is essential for a broad set of applications, including meter data validation, zero unbalance EE billing, and nontechnical EE loss check.关键词
自动抄表/高级电能计量装置/潮流分布/电力损耗/电能测量/状态估计Key words
Automatic meter reading/Advanced metering infrastructure/Energy flow distribution/Electricity losses/Energy measurements/State estimation.引用本文复制引用
安德鲁?帕兹德林,伊利亚?波利亚科夫,弗拉迪斯拉夫?萨莫伊连科..基于状态估计方法和计量数据的潮流计算研究[J].全球能源互联网（英文）,2022,(5):551-563,13.
