(Position Paper) Characterizing the Behavior of Small Producers in Smart Grids: A Data Sanity Analysis

Maria Stefan, Jose Manuel Gutierrez Lopez, Pere Barlet-Ros, Eduardo Prieto, Oriol Gomis, Rasmus Løvenstein Olsen

Research output: Contribution to journalConference article in Journalpeer-review

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Abstract

Renewable energy production throughout low-voltage grids has gradually increased in electrical distribution systems, therefore introducing small energy producers - prosumers. This paradigm challenges the traditional unidirectional energy distribution flow to include disperse power production from renewables. To understand how energy usage can be optimized in the dynamic electrical grid, it is important to understand the behavior of prosumers and their impact on the grid's operational procedures. The main focus of this study is to investigate how grid operators can obtain an automatic data-driven system for the low-voltage electrical grid management, by analyzing the available grid topology and time-series consumption data from a real-life test area. The aim is to argue for how different consumer profiles, clustering and prediction methods contribute to the grid-related operations. Ultimately, this work is intended for future research directions that can contribute to improving the trade-off between systematic and scalable data models and software computational challenges.

Original languageEnglish
JournalProcedia Computer Science
Volume168
Pages (from-to)224-231
Number of pages8
ISSN1877-0509
DOIs
Publication statusPublished - 2020
EventComplex Adaptive Systems Conference: Leveraging AI and Machine Learning for Societal Challenges - Malvern, United States
Duration: 13 Nov 201915 Nov 2019

Conference

ConferenceComplex Adaptive Systems Conference
CountryUnited States
CityMalvern
Period13/11/201915/11/2019

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