[en] This paper presents a novel management mechanism for enabling preference-based energy sharing among heterogeneous end-users within a centralized renewable energy community. The proposed hierarchical mechanism involves each end-user performing a day-ahead self-scheduling based on the internal electricity prices, after which the community manager optimizes intra-market exchanges in parallel and accomplishes preference-based internal energy sharing to finalize the electricity billing of the end-users. Furthermore, by defining value as an intrinsic motivational factor, four types of end-users are introduced in the energy community. The proposed energy community supplies a mix of different energy classes depending on the end-users’ prioritized values. Simulation results demonstrate the effectiveness of the proposed scheme in reducing energy costs and improving energy sharing among end-users.
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
Faraji, Jamal ; Université de Mons - UMONS > Facult?Polytechnique > Service de G?ie Electrique
De Grève, Zacharie ; Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Electrique
Vallée, François ; Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Electrique
Langue du document :
Anglais
Titre :
Hierarchical Energy Sharing Management for a Renewable Energy Community with Heterogeneous End-users
Date de publication/diffusion :
09 août 2023
Nom de la manifestation :
2023 IEEE Belgrade PowerTech
Organisateur de la manifestation :
IEEE
Lieu de la manifestation :
Belgrade, Serbie
Date de la manifestation :
25-30 June 2023
Manifestation à portée :
International
Titre de l'ouvrage principal :
2023 IEEE BELGRADE PowerTech
Maison d'édition :
IEEE
ISBN/EAN :
978-1-6654-8778-8
Peer review/Comité de sélection :
Peer reviewed
Unité de recherche :
F101 - Génie Electrique
Institut de recherche :
Research Institute for Energy
Organisme subsidiant :
Energy Transition Fund 2021, project “ALEXANDER” organized by the Belgian FPS economy
M. M. Vanegas Cantarero, "Of renewable energy, energy democracy, and sustainable development: A roadmap to accelerate the energy transition in developing countries, " Energy Research & Social Science, vol. 70, p. 101716, 2020.
J. Lowitzsch, C. E. Hoicka, and F. J. van Tulder, "Renewable energy communities under the 2019 European Clean Energy Package-Governance model for the energy clusters of the future?, " Renewable and Sustainable Energy Reviews, vol. 122, p. 109489, 2020.
L. Steg, R. Shwom, and T. Dietz, "What Drives Energy Consumers?: Engaging People in a Sustainable Energy Transition, " IEEE Power and Energy Magazine, vol. 16, no. 1, pp. 20-28, 2018.
T. Sousa, T. Soares, P. Pinson, F. Moret, T. Baroche, and E. Sorin, "Peer-to-peer and community-based markets: A comprehensive review, " Renewable and Sustainable Energy Reviews, vol. 104, pp. 367-378, 2019.
N. Liu, X. Yu, C. Wang, and J. Wang, "Energy Sharing Management for Microgrids With PV Prosumers: A Stackelberg Game Approach, " IEEE Transactions on Industrial Informatics, vol. 13, no. 3, pp. 1088-1098, 2017.
N. Liu, M. Cheng, X. Yu, J. Zhong, and J. Lei, "Energy-Sharing Provider for PV Prosumer Clusters: A Hybrid Approach Using Stochastic Programming and Stackelberg Game, " IEEE Transactions on Industrial Electronics, vol. 65, no. 8, pp. 6740-6750, 2018.
S. Cui, Y. W. Wang, Y. Shi, and J. W. Xiao, "Community Energy Cooperation With the Presence of Cheating Behaviors, " IEEE Transactions on Smart Grid, vol. 12, no. 1, pp. 561-573, 2021.
H. Zhu, K. Ouahada, and A. M. Abu-Mahfouz, "Peer-to-Peer Energy Trading in Smart Energy Communities: A Lyapunov-Based Energy Control and Trading System, " IEEE Access, vol. 10, pp. 42916-42932, 2022.
A. Mashlakov, E. Pournaras, P. H. J. Nardelli, and S. Honkapuro, "Decentralized cooperative scheduling of prosumer flexibility under forecast uncertainties, " Applied Energy, vol. 290, p. 116706, 2021.
S. Talari, M. Khorasany, R. Razzaghi, W. Ketter, and A. S. Gazafroudi, "Mechanism design for decentralized peer-to-peer energy trading considering heterogeneous preferences, " Sustainable Cities and Society, vol. 87, p. 104182, 2022.
J. Liu, H. Yang, and Y. Zhou, "Peer-to-peer energy trading of netzero energy communities with renewable energy systems integrating hydrogen vehicle storage, " Applied Energy, vol. 298, p. 117206, 2021/09/15/ 2021.
I. Dukovska, N. G. Paterakis, and H. J. G. Slootweg, "Local Energy Exchange Considering Heterogeneous Prosumer Preferences, " in 2018 International Conference on Smart Energy Systems and Technologies (SEST), 10-12 Sept. 2018 2018, pp. 1-6.
T. Morstyn and M. D. McCulloch, "Multiclass Energy Management for Peer-to-Peer Energy Trading Driven by Prosumer Preferences, " IEEE Transactions on Power Systems, vol. 34, no. 5, pp. 4005-4014, 2019.
J. Faraji, A. Ketabi, H. Hashemi-Dezaki, M. Shafie-Khah, and J. P. S. Catalão, "Optimal Day-Ahead Self-Scheduling and Operation of Prosumer Microgrids Using Hybrid Machine Learning-Based Weather and Load Forecasting, " IEEE Access, vol. 8, pp. 157284-157305, 2020.
M. Rastegar, M. Fotuhi-Firuzabad, H. Zareipour, and M. Moeini-Aghtaieh, "A Probabilistic Energy Management Scheme for Renewable-Based Residential Energy Hubs, " IEEE Transactions on Smart Grid, vol. 8, no. 5, pp. 2217-2227, 2017.
C. Ju, "Hierarchically Coordinated Energy Management for A Regional Multi-microgrid Community, " arXiv, 2021.
L. Igualada, C. Corchero, M. Cruz-Zambrano, and F. J. Heredia, "Optimal Energy Management for a Residential Microgrid Including a Vehicle-to-Grid System, " IEEE Transactions on Smart Grid, vol. 5, no. 4, pp. 2163-2172, 2014.
https: //business. engie. be/en/business (accessed 11 November 2022).
S. O. N. Clark. Commercial and Residential Hourly Load Profiles https: //data. openei. org/ (accssed 11 November 2022).
"JRC Photovoltaic Geographical Information System. " https: //re. jrc. ec. europa. eu/pvg_tools/en/#DR (accessed 11 November 2022).
