Analysis of Smart Meter Data and Impacts on Large-scale Power Distribution Networks

被引：0
作者：
Bajagain, Surendra [1 ]
Dubey, Anamika [1 ]
机构：
[1] Washington State Univ, Sch Elect Engn & Comp Sci, Pullman, WA 99164 USA
来源：
2023 IEEE BELGRADE POWERTECH | 2023年
关键词：
electric power distribution system; power distribution analysis; smart meter data; grid-edge; SYSTEM STATE ESTIMATION;
D O I：
10.1109/POWERTECH55446.2023.10202815
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The deployment of smart meters has resulted in visibility in power distribution systems beyond substations. The important attributes related to smart meter data, such as time synchronization errors, meter bias, and measurement granularity, may result in the usability of the data for system-level situational awareness. This paper investigates the effects of several attributes related to smart meter data gathering, processing, and transmission on the collected information. To this end, we analyze the effects of temporal aggregation of smart meter data on data distribution and how it impacts information loss. The analysis of time synchronization errors in smart meter data reveals a non-Gaussian error distribution. The simulation analysis is conducted using IEEE 8500-node test system. Our results conclude that the temporal aggregation of data, time synchronization error, meter bias, and measurement noise cause information loss in simulated system states, including voltages and power loss. The analysis presented in this paper will inform algorithms for distribution system planning and operations.
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页数：6
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