Modeling economic sharing of joint assets in community energy projects under LV network constraints

Norbu, S., Couraud, B., Robu, V., Andoni, M. and Flynn, D. (2021) Modeling economic sharing of joint assets in community energy projects under LV network constraints. IEEE Access, 9, pp. 112019-112042. (doi: 10.1109/ACCESS.2021.3103480)

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The trend of decentralization of energy services has given rise to community energy systems. These energy communities aim to maximize the self-consumption of local renewable energy generated and stored in assets that are typically connected to low-voltage (LV) distribution networks. Energy community schemes often involve jointly owned assets such as community-owned solar photo-voltaic panels (PVs), wind turbines and/or shared battery storage. This raises the question of how these assets should be controlled in real-time, and how the energy outputs from these jointly owned assets should be shared fairly among heterogeneous community members. Crucially, such real-time control and fair sharing of energy must also consider the technical constraints of the community, such as the local LV network characteristics, voltage limits and power ratings of electric cables and transformers. In this paper, we design and analyze a heuristic-based battery control algorithm that considers the influence of battery life degradation, and the resultant increase in local renewable energy consumption within local operating constraints of the LV network. We provide a model that first studies the techno-economic benefits of community-owned versus individually-owned energy assets considering the network/grid constraints. Then, using the methodology and principles from cooperative game theory, we propose a redistribution model for benefits in a community based on the marginal contribution of each household. The results from our study demonstrate that the redistribution mechanism is fairer and computationally tractable compared to the existing state-of-the-art methods. Thus, our methodology is more scalable with respect to modeling the economic sharing of joint assets in community energy systems.

Item Type:Articles
Additional Information:This work was supported in part by U.K. Engineering and Physical Sciences Council (EPSRC) Doctoral Training Programme (DTP) under Grant EP/R513040/1, in part by the EPSRC through U.K. National Centre for Energy Systems Integration (CESI) under Grant EP/P001173/1, in part by the Community—Scale Energy Demand Reduction in India (CEDRI) under Grant EP/R008655/1, and in part by the Innovate U.K. Responsive Flexibility (ReFLEX) under Project 104780.
Glasgow Author(s) Enlighten ID:Andoni, Dr Merlinda and Flynn, Professor David and Couraud, Dr Benoit
Authors: Norbu, S., Couraud, B., Robu, V., Andoni, M., and Flynn, D.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Access
ISSN (Online):2169-3536
Published Online:09 August 2021
Copyright Holders:Copyright © The Author(s) 2021
First Published:First published in IEEE Access 9:112019-112042
Publisher Policy:Reproduced under a Creative Commons Licence

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