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Smart coordination of buildings to incentivise grid flexibility provision: A virtual energy community perspective.

Authors :
Hashemipour, Naser
Alonso Pedrero, Raquel
Crespo del Granado, Pedro
Aghaei, Jamshid
Source :
Energy & Buildings. May2024, Vol. 310, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Energy communities (ECs) play a crucial role in promoting the adoption of renewable energy resources and establishing local energy markets for sharing and trading energy among end-users (e.g., residential buildings) and prosumers (plus energy buildings). However, since end-users are connected to distribution grids, their energy transactions can sometimes lead to reversed power flows and potential power quality issues, such as over-voltage. This paper introduces the concept of Virtual Energy Communities (VECs) as a coordination mechanism designed to align the goals of ECs with the flexibility requirements of the distribution grid operator. The smart coordination of buildings employs a Particle Swarm Optimisation algorithm to identify optimal VEC configurations that effectively manage potential trading activities to adhere to power grid constraints. The tool's performance is evaluated with a focus on voltage levels and voltage imbalance factors across various case studies. The results demonstrate that smart building coordination efficiently mitigates overvoltage and voltage imbalances by implementing VECs, all while causing minimal disruption to energy sharing opportunities. This is of significant importance, as providing grid flexibility on its own is not economically viable. Therefore, this coordination offers a valuable win-win solution for both ECs and grid flexibility. • Definition of Virtual Energy Communities to solve grid power quality issues. • A novel coordination platform to raise flexibility from residential buildings. • Promoting energy trading between buildings while supporting grid operations. • Performance analysis of the coordination tool for an unbalanced three-phase distribution grid under different scenarios. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03787788
Volume :
310
Database :
Academic Search Index
Journal :
Energy & Buildings
Publication Type :
Academic Journal
Accession number :
176468673
Full Text :
https://doi.org/10.1016/j.enbuild.2024.114078