%0 Conference Proceedings %T Decentralised District Multi-vector Energy Management: A Multi-agent Approach %+ Laboratoire d'analyse des données et d'intelligence des systèmes (LADIS) %A Klaimi, Joelle %A Vinyals, Meritxell %< avec comité de lecture %( IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 534) %B 19th Working Conference on Virtual Enterprises (PRO-VE) %C Cardiff, United Kingdom %Y Luis M. Camarinha-Matos %Y Hamideh Afsarmanesh %Y Yacine Rezgui %I Springer International Publishing %3 Collaborative Networks of Cognitive Systems %V AICT-534 %P 551-559 %8 2018-09-17 %D 2018 %R 10.1007/978-3-319-99127-6_47 %K storage capabilities %K thermal energy %K Multi-Agent Systems %K Multi-vector energy management %K Distributed optimisation %K optimization problem %K Energy conversion %K ADMM %K cost minimization %K Renewable energy sources RES %K electricity %K gas %Z Computer Science [cs] %Z Computer Science [cs]/Multiagent Systems [cs.MA] %Z Computer Science [cs]/Systems and Control [cs.SY] %Z Engineering Sciences [physics]/Electric powerConference papers %X Despite its many advantages, the non-controllable and intermittent nature of renewable energy sources is adding further stress to the energy networks and hence, grid operators are often forced to curtail RES generation or to limit its further penetration in the most congested areas. Smart tri-generation districts (electricity, gas, heat) can be key to mitigate these issues and increase the renewable hosting capacity of the grid, provided their feature an optimal use of their energy conversion and storage capabilities. This paper presents a district energy management approach based on Multi-Agent System (MAS) that takes into consideration the tri-energy vectors (electricity, gas, thermal). The optimization problem is solved in a distributed way based on the Alternating Direction Method of Multipliers with the objective of minimizing district costs and preliminary results show the efficiency of our approach to achieve this objective. %G English %Z TC 5 %Z WG 5.5 %2 https://cea.hal.science/cea-01921159/document %2 https://cea.hal.science/cea-01921159/file/472393_1_En_47_Chapter.pdf %L cea-01921159 %U https://cea.hal.science/cea-01921159 %~ CEA %~ OPENAIRE %~ IFIP %~ IFIP-AICT %~ DRT %~ IFIP-TC %~ IFIP-TC5 %~ IFIP-WG %~ CEA-UPSAY %~ IFIP-WG5-5 %~ IFIP-PROVE %~ UNIV-PARIS-SACLAY %~ CEA-UPSAY-SACLAY %~ LIST %~ DM2I %~ IFIP-AICT-534 %~ GS-ENGINEERING %~ GS-COMPUTER-SCIENCE %~ DIN