Eneida deepgrid®: bringing the operational awareness to the LV grid
27th International Conference on Electricity Distribution (CIRED 2023)(2023)
Abstract
This paper presents a novel solution integrated into the Eneida DeepGrid
®
platform for real-time voltage and active power estimation in low voltage grids. The tool utilizes smart grid infrastructure data, including historical data, real-time measurements from a subset of meters, and exogenous information such as weather forecasts and dynamic price signals. Unlike traditional methods, the solution does not require electrical or topological characterization and is not affected by observability issues. The performance of the tool was evaluated through a case study using 10 real networks located in Portugal, with results showing high estimation accuracy, even under scenarios of low smart meter coverage.
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Key words
active power estimation,dynamic price signals,electrical characterization,Eneida deepgrid,Eneida DeepGrid,exogenous information,high estimation accuracy,historical data,low smart meter coverage,low voltage grids,LV grid,operational awareness,real-time measurements,real-time voltage,smart grid infrastructure data,topological characterization,weather forecasts
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