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Bi-level mechanism for decentralized coordination of internet data centers and energy communities in local congestion management markets

S.A. Mansouri, E. Nematbakhsh, A. Ramos, J.P. Chaves, J. García-González, A.R. Jordehi

IEEE International Conference on Energy Technologies for Future Grids - IEEE ETFG 2023, Wollongong (Australia). 03-06 diciembre 2023


Summary:

This paper introduces a bi-level decentralized model for organizing the Local Congestion Management Market (LCMM) in renewable-based distribution systems with the active participation of Energy Communities (ECs) and Internet Data Centers (IDCs). At the upper level, the distribution system operator (DSO) tackles an optimization problem to identify congested lines considering network security constraints and clearing results of the Day-Ahead Energy Market (DAEM). The lower level encompasses strategic planning from ECs and IDCs, aimed at capitalizing on the opportunities offered by the LCCM. ECs have dispatchable and non-dispatchable generation units, along with flexible loads and storage systems (SSs). On the other hand, IDCs have shiftable loads and are also equipped with a cloud system through which they can share their services with each other. Finally, an adaptive Alternating Direction Method of Multipliers (ADMM) algorithm is introduced to ensure decentralized coordination among ECs, IDCs, and DSO. Simulation results underscore that the proposed mechanism safeguards stakeholders’ privacy and effectively supplies a notable portion
of the flexible capacities needed to mitigate network congestion, replacing costly thermal units via contributions from ECs and IDCs. Consequently, this leads to a 61.05% reduction in LCMM costs.


Spanish layman's summary:

Este artículo presenta un modelo binivel para el mercado local de congestiones en los sistemas de distribución. En él participan comunidades energéticas y centros de datos para la resolución de dichas congestiones. Un algoritmo ADMM adaptativo garantiza la coordinación descentralizada. Los resultados muestran una reducción del 61,05% en los costes del LCMM.


English layman's summary:

This paper presents a bi-level model for the Local Congestion Management Market in distribution systems. It involves Energy Communities and Internet Data Centers for congestion resolution. An adaptive ADMM ensures decentralized coordination. Results show a 61.05% reduction in LCMM costs.


Keywords: Active Distribution Systems, Internet Data Centers, Energy Communities, Local Congestion Management Market, Alternating Direction Method of Multipliers, Decentralized Programming


DOI: DOI icon https://doi.org/10.1109/ETFG55873.2023.10407758

Publication date: December 2023.



Citation:
Mansouri, S.A., Nematbakhsh, E., Ramos, A., Chaves, J.P., García-González, J., Jordehi, A.R., Bi-level mechanism for decentralized coordination of internet data centers and energy communities in local congestion management markets, IEEE International Conference on Energy Technologies for Future Grids - IEEE ETFG 2023, Wollongong (Australia). 03-06 December 2023.


    Research topics:
  • Energy markets design and regulation
  • Smart client, building and districts. Home automation, connected buildings and HAN: devices, communications, protocols, communications, interfaces, etc

IIT-23-370C

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