Low voltage current estimation using AMI/smart meter data
| Autor: | John D. Holliday, Andrew Brint, Goudarz Poursharif, Mark Marshall, Mary Black |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
Smart meter business.industry Computer science 020209 energy Electrical engineering Energy Engineering and Power Technology 02 engineering and technology Missing data 01 natural sciences Current (stream) Smart grid 0202 electrical engineering electronic engineering information engineering Key (cryptography) Abstract knowledge Metering mode Electrical and Electronic Engineering business Low voltage 0105 earth and related environmental sciences |
| Zdroj: | International Journal of Electrical Power & Energy Systems. 99:290-298 |
| ISSN: | 0142-0615 |
| Popis: | Knowledge of the currents is a key foundation for smart grid applications. However, knowledge of low voltage currents is generally poor. The new information streams from advanced metering infrastructure (AMI)/smart meters and the monitoring of distribution substations offer the opportunity of rectifying this. Unfortunately, often not all the smart meter readings will be available in real-time. For example, this situation will arise when older (non-compliant) smart meters do not have real-time reporting capabilities. This paper investigates how knowledge of the substation currents can be combined with the available real-time AMI/smart meter readings and the historical readings from the non-real-time meters, to estimate these missing values. It is found that the k-nearest neighbor weighted average approach performs best but that the gains over using simpler methods are relatively modest. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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