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3 results on '"Multi-vector energy management"'

1. Decentralised District Multi-vector Energy Management: A Multi-agent Approach

Author

Klaimi, Joelle, Vinyals, Meritxell, Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Series Editor, Goedicke, Michael, Series Editor, Tatnall, Arthur, Series Editor, Neuhold, Erich J., Series Editor, Pras, Aiko, Series Editor, Tröltzsch, Fredi, Series Editor, Pries-Heje, Jan, Series Editor, Whitehouse, Diane, Series Editor, Reis, Ricardo, Series Editor, Furnell, Steven, Series Editor, Furbach, Ulrich, Series Editor, Winckler, Marco, Series Editor, Rauterberg, Matthias, Series Editor, Camarinha-Matos, Luis M., editor, Afsarmanesh, Hamideh, editor, and Rezgui, Yacine, editor

Published
2018
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2. Unlocking European Grid Local Flexibility Through Augmented Energy Conversion Capabilities at District Level

Author

Marco Rocchetti, Juan Manuel Espeche, and Zia Lennard

Subjects
energy conversion, Power-to-Methane, Internet of Things, multi-vector energy management, district heating, energy flexibility, penetration of renewables, General Works
Abstract

Pentagon is research and innovation project that investigate the potential of wider deployment of energy conversion technologies and strategies at district-level, with the aim to foster flexibility in the low-voltage and medium-voltage grid. Multi-vector smart districts can be the key enablers of future smart grids, provided their flexibility capabilities are augmented with adequate energy conversion technologies. Object of the research are two key technologies: a highly efficient power-to-gas installation sized for coupling with typical district heating plants and a multi-vector multi-scale district energy management platform for the combined monitoring and management of all district energy carriers.

Published
2017
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3. Decentralised District Multi-vector Energy Management: A Multi-agent Approach

Author

Meritxell Vinyals, Joelle Klaimi, Laboratoire d'analyse des données et d'intelligence des systèmes (LADIS), Département Métrologie Instrumentation & Information (DM2I), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Luis M. Camarinha-Matos, Hamideh Afsarmanesh, Yacine Rezgui, TC 5, WG 5.5, European Project: H2020 731125,PENTAGON, European Project: H2020 723562,THERMOSS, Laboratoire d'Intégration des Systèmes et des Technologies (LIST), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST)

Subjects
Mathematical optimization, Multi-vector energy management, Optimization problem, Energy management, Computer science, Renewable energy sources RES, 020209 energy, 02 engineering and technology, 7. Clean energy, Multi-Agent Systems, Distributed optimisation, cost minimization, gas, 0202 electrical engineering, electronic engineering, information engineering, [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY], Energy transformation, [INFO]Computer Science [cs], electricity, business.industry, Multi-agent system, [SPI.NRJ]Engineering Sciences [physics]/Electric power, storage capabilities, Grid, Energy conversion, Renewable energy, thermal energy, [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], Electricity, business, optimization problem, ADMM, Thermal energy
Abstract

International audience; 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.

Published
2018
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