Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/41335
Title: | Heuristic energy management algorithm for buildings with renewables and vehicle-to-grid charging |
Author: | Silva, João Ferreira, Joaquim Bartolomeu, Paulo C. |
Issue Date: | 2023 |
Publisher: | IEEE |
Abstract: | Electrical energy consumption is steadily growing worldwide, while renewable energy sources are gaining market share. In parallel, energy systems are undergoing a profound transformation, moving from a top-down hierarchical structure to a more decentralized model focused on the consumer, who will also produce, store and sell their own energy. This paper proposes a decision algorithm designed to help with the energy management task, in the context of a grid-connected household, with renewable energy production and electric vehicles (EVs). The algorithm makes use of several inputs such as energy consumption prediction, energy production output, EV battery state, and grid energy price in order to perform the optimal charge and discharge actions. The proposed algorithm was validated in a simulated environment attaining an average decrease of 18.9% in the energy cost of the household. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/41335 |
DOI: | 10.1109/IESES53571.2023.10253729 |
ISBN: | 979-8-3503-2476-1 |
Appears in Collections: | IT - Capítulo de livro ESTGA - Capítulo de livro |
Files in This Item:
File | Description | Size | Format | |
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Heuristic_Energy_Management_Algorithm_for_Buildings_with_Renewables_and_Vehicle-to-Grid_Charging.pdf | 3.17 MB | Adobe PDF |
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