Pleiad: An Open-Source Modeling Package for Optimizing Residential Flexibility in the Smart Grid

Demand response (DR) has been increasingly growing in significance among the solutions to tackle climate change, by supporting the development of intermittent renewable energy sources in the smart grid. Many models based on mathematical optimization have been developed to address the challenge of su...

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Bibliographic Details
Published in:Canadian journal of electrical and computer engineering 2022, Vol.45 (3), p.254-261
Main Authors: Souchard de Lavoreille, Hugues, Gomez-Herrera, Juan A., Anjos, Miguel F.
Format: Article
Language:English
Subjects:
Data transmission
Energy consumption
Energy management
Flexibility
Libraries
Metamodels
Open source software
Optimization
Optimization models
Renewable energy sources
Smart grid
Smart grid technology
Streaming services
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Summary:Demand response (DR) has been increasingly growing in significance among the solutions to tackle climate change, by supporting the development of intermittent renewable energy sources in the smart grid. Many models based on mathematical optimization have been developed to address the challenge of supporting residential customers in providing flexibility services to the grid. However, comparing and applying those models is not always straightforward because of particular data handling or specific assumptions. In this work, we take advantage of the common aspects of DR models to build a metamodel, and hence an open source Python library that aims to unify the concepts and the data streaming in and out of the underlying mathematical optimization models. We demonstrate the effectiveness of the metamodel and of the Python library by using it to implement a task scheduler and to optimize the energy consumption for two dwellings.
ISSN:2694-1783
0840-8688
2694-1783
DOI:10.1109/ICJECE.2022.3157662