Mansouri, Seyedamir Ramos Galán, Andrés Chaves Ávila, José Pablo García González, Javier Aguado Sánchez, José Antonio 2025-09-26T12:24:40Z 2025-09-26T12:24:40Z 2025-11-01 1551-3203 https:doi.org10.1109TII.2025.3586048 Artículos en revistas This article presents a four-level hierarchical model to incorporate decentralized energy communities (ECs) into local electricity markets. The model utilizes an innovative distribution system operator (DSO)-driven algorithm to maximize grid services from ECs, monetize their energy surplus, and adapt market exchanges to network security constraints. In level 1, EC members determine their internal scheduling and power exchanges. A decentralized peer-to-peer (P2P) structure embedded in level 1 enables power sharing with dynamic pricing and limited data sharing among EC members. Levels 2 and 3 involve the EC operators and the retailer company determining their market strategies. In level 4, a DSO-driven algorithm is deployed to evaluate security constraints and the feasibility of exchanges between market players. Implemented on a modified 594-node distribution network in Victoria, Australia, the model optimally integrates ECs with local electricity markets. By preserving agents’ privacy and keeping exchange details confidential, the proposed model ensures next-day contracts adhere to network security restrictions, maximizes grid services from ECs, and reduces members’ electricity bills by 7.5. This article presents a four-level hierarchical model to incorporate decentralized energy communities (ECs) into local electricity markets. The model utilizes an innovative distribution system operator (DSO)-driven algorithm to maximize grid services from ECs, monetize their energy surplus, and adapt market exchanges to network security constraints. In level 1, EC members determine their internal scheduling and power exchanges. A decentralized peer-to-peer (P2P) structure embedded in level 1 enables power sharing with dynamic pricing and limited data sharing among EC members. Levels 2 and 3 involve the EC operators and the retailer company determining their market strategies. In level 4, a DSO-driven algorithm is deployed to evaluate security constraints and the feasibility of exchanges between market players. Implemented on a modified 594-node distribution network in Victoria, Australia, the model optimally integrates ECs with local electricity markets. By preserving agents’ privacy and keeping exchange details confidential, the proposed model ensures next-day contracts adhere to network security restrictions, maximizes grid services from ECs, and reduces members’ electricity bills by 7.5. en-GB Revista: IEEE Transactions on Industrial Informatics, Periodo: 1, Volumen: online, Número: 11, Página inicial: 8673, Página final: 8683 Instituto de Investigación Tecnológica (IIT) A DSO-Driven Privacy-Preserving Mechanism for Managing Power Exchanges in Australian Networks info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/openAccess Decentralized optimization, electric vehicles (EVs), energy community (EC), peer-to-peer (P2P) power sharing, smart grids. Decentralized optimization, electric vehicles (EVs), energy community (EC), peer-to-peer (P2P) power sharing, smart grids.